Author: "Schwikowski B." / Language: english - Searchworks@Jio Institute Digital Library Search Results

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68 results on '"Schwikowski B."'

1. Auto-antibodies against type I IFNs in patients with life-threatening COVID-19

Author: Bastard, P., Rosen, L. B., Zhang, Q., Michailidis, E., Hoffmann, H. -H., Zhang, Y., Dorgham, K., Philippot, Q., Rosain, J., Beziat, V., Manry, J., Shaw, E., Haljasmagi, L., Peterson, P., Lorenzo, L., Bizien, L., Trouillet-Assant, S., Dobbs, K., de Jesus, A. A., Belot, A., Kallaste, A., Catherinot, E., Tandjaoui-Lambiotte, Y., Le Pen, J., Kerner, G., Bigio, B., Seeleuthner, Y., Yang, R., Bolze, A., Spaan, A. N., Delmonte, O. M., Abers, M. S., Aiuti, A., Casari, G., Lampasona, V., Piemonti, L., Ciceri, F., Bilguvar, K., Lifton, R. P., Vasse, M., Smadja, D. M., Migaud, M., Hadjadj, J., Terrier, B., Duffy, D., Quintana-Murci, L., van de Beek, D., Roussel, L., Vinh, D. C., Tangye, S. G., Haerynck, F., Dalmau, D., Martinez-Picado, J., Brodin, P., Nussenzweig, M. C., Boisson-Dupuis, S., Rodriguez-Gallego, C., Vogt, G., Mogensen, T. H., Oler, A. J., Gu, J., Burbelo, P. D., Cohen, J. I., Biondi, A., Bettini, L. R., Dangio, M., Bonfanti, P., Rossignol, P., Mayaux, J., Rieux-Laucat, F., Husebye, E. S., Fusco, F., Ursini, M. V., Imberti, L., Sottini, A., Paghera, S., Quiros-Roldan, E., Rossi, C., Castagnoli, R., Montagna, D., Licari, A., Marseglia, G. L., Duval, X., Ghosn, J., Tsang, J. S., Goldbach-Mansky, R., Kisand, K., Lionakis, M. S., Puel, A., Zhang, S. -Y., Holland, S. M., Gorochov, G., Jouanguy, E., Rice, C. M., Cobat, A., Notarangelo, L. D., Abel, L., H. C., Su, Casanova, J. -L., Arias, A. A., Boisson, B., Boucherit, S., Bustamante, J., Chbihi, M., Chen, J., Chrabieh, M., Kochetkov, T., Le Voyer, T., Liu, D., Nemirovskaya, Y., Ogishi, M., Papandrea, D., Patissier, C., Rapaport, F., Roynard, M., Vladikine, N., Woollett, M., Zhang, P., Kashyap, A., Ding, L., Bosticardo, M., Wang, Q., Ochoa, S., Liu, H., Chauvin, S. D., Stack, M., Koroleva, G., Bansal, N., Dalgard, C. L., Snow, A. L., Abad, J., Aguilera-Albesa, S., Akcan, O. M., Darazam, I. A., Aldave, J. C., Ramos, M. A., Nadji, S. A., Alkan, G., Allardet-Servent, J., Allende, L. M., Alsina, L., Alyanakian, M. -A., Amador-Borrero, B., Amoura, Z., Antoli, A., Arslan, S., Assant, S., Auguet, T., Azot, A., Bajolle, F., Baldolli, A., Ballester, M., Feldman, H. B., Barrou, B., Beurton, A., Bilbao, A., Blanchard-Rohner, G., Blanco, I., Blandinieres, A., Blazquez-Gamero, D., Bloomfield, M., Bolivar-Prados, M., Borie, R., Bousfiha, A. A., Bouvattier, C., Boyarchuk, O., Bueno, M. R. P., Agra, J. J. C., Calimli, S., Capra, R., Carrabba, M., Casasnovas, C., Caseris, M., Castelle, M., Castelli, F., de Vera, M. C., Castro, M. V., Chalumeau, M., Charbit, B., Cheng, M. P., Clave, P., Clotet, B., Codina, A., Colkesen, F., Colobran, R., Comarmond, C., Corsico, A. G., Darley, D. R., Dauby, N., Dauger, S., de Pontual, L., Dehban, A., Delplancq, G., Demoule, A., Di Sabatino, A., Diehl, J. -L., Dobbelaere, S., Durand, S., Eldars, W., Elgamal, M., Elnagdy, M. H., Emiroglu, M., Erdeniz, E. H., Aytekin, S. E., Euvrard, R., Evcen, R., Fabio, G., Faivre, L., Falck, A., Fartoukh, M., Faure, M., Arquero, M. F., Flores, C., Francois, B., Fumado, V., Solis, B. G., Gaussem, P., Gil-Herrera, J., Gilardin, L., Alarcon, M. G., Girona-Alarcon, M., Goffard, J. -C., Gok, F., Gonzalez-Montelongo, R., Guerder, A., Gul, Y., Guner, S. N., Gut, M., Halwani, R., Hammarstrom, L., Hatipoglu, N., Hernandez-Brito, E., Holanda-Pena, M. S., Horcajada, J. P., Hraiech, S., Humbert, L., Iglesias, A. D., Inigo-Campos, A., Jamme, M., Arranz, M. J., Jordan, I., Kanat, F., Kapakli, H., Kara, I., Karbuz, A., Yasar, K. K., Keles, S., Demirkol, Y. K., Klocperk, A., Krol, Z. J., Kuentz, P., Kwan, Y. W. M., Lagier, J. -C., Lau, Y. -L., Le Bourgeois, F., Leo, Y. -S., Lopez, R. L., Leung, D., Levin, M., Levy, M., Levy, R., Li, Z., Linglart, A., Lorenzo-Salazar, J. M., Louapre, C., Lubetzki, C., Luyt, C. -E., Lye, D. C., Mansouri, D., Marjani, M., Pereira, J. M., Martin, A., Pueyo, D. M., Marzana, I., Mathian, A., Matos, L. R. B., Matthews, G. V., Mege, J. -L., Melki, I., Meritet, J. -F., Metin, O., Meyts, I., Mezidi, M., Migeotte, I., Millereux, M., Mirault, T., Mircher, C., Mirsaeidi, M., Melian, A. M., Martinez, A. M., Morange, P., Mordacq, C., Morelle, G., Mouly, S., Munoz-Barrera, A., Nafati, C., Neves, J. F., L. F. P., Ng, Medina, Y. N., Cuadros, E. N., Gonzalo Ocejo-Vinyals, J., Orbak, Z., Oualha, M., Ozcelik, T., Hammarstrom, Q. P., Parizot, C., Pascreau, T., Paz-Artal, E., de Diego, R. P., Philippe, A., Philippota, Q., Planas-Serra, L., Ploin, D., Poissy, J., Poncelet, G., Pouletty, M., Quentric, P., Raoult, D., Rebillat, A. -S., Reisli, I., Ricart, P., Richard, J. -C., Rivet, N., Riviere, J. G., Blanch, G. R., Rodrigo, C., Rodriguez-Palmero, A., Romero, C. S., Rothenbuhler, A., Rozenberg, F., del Prado, M. Y. R., Riera, J. S., Sanchez, O., Sanchez-Ramon, S., Schluter, A., Schmidt, M., Schweitzer, C. E., Scolari, F., Sediva, A., Seijo, L. M., Sene, D., Senoglu, S., Seppanen, M. R. J., Ilovich, A. S., Shahrooei, M., Smadja, D., Sobh, A., Moreno, X. S., Sole-Violan, J., Soler, C., Soler-Palacin, P., Stepanovskiy, Y., Stoclin, A., Taccone, F., Tandjaoui-Lambiottea, Y., Taupin, J. -L., Tavernier, S. J., Thumerelle, C., Tomasoni, G., Toubiana, J., Alvarez, J. T., Trouillet-Assanta, S., Troya, J., Tucci, A., Uzunhan, Y., Vabres, P., Valencia-Ramos, J., van Den Rym, A. M., Vandernoot, I., Vatansev, H., Velez-Santamaria, V., Viel, S., Vilain, C., Vilaire, M. E., Vincent, A., Voiriot, G., Vuotto, F., Yosunkaya, A., Young, B. E., Yucel, F., Zannad, F., Zatz, M., Belota, A., Foti, G., Bellani, G., Citerio, G., Contro, E., Pesci, A., Valsecchi, M. G., Cazzaniga, M., Bole-Feysot, C., Lyonnet, S., Masson, C., Nitschke, P., Pouliet, A., Schmitt, Y., Tores, F., Zarhrate, M., Abela, L., Andrejak, C., Angoulvant, F., Bachelet, D., Basmaci, R., Behillil, S., Beluze, M., Benkerrou, D., Bhavsar, K., Bompart, F., Bouadma, L., Bouscambert, M., Caralp, M., Cervantes-Gonzalez, M., Chair, A., Coelho, A., Couffignal, C., Couffin-Cadiergues, S., D'Ortenzio, E., da Silveira, C., Debray, M. -P., Deplanque, D., Descamps, D., Desvallees, M., Diallo, A., Diouf, A., Dorival, C., Dubos, F., Eloy, P., Enouf, V. V. E., Esperou, H., Esposito-Farese, M., Etienne, M., Ettalhaoui, N., Gault, N., Gaymard, A., Gigante, T., Gorenne, I., Guedj, J., Hoctin, A., Hoffmann, I., Jaafoura, S., Kafif, O., Kaguelidou, F., Kali, S., Khalil, A., Khan, C., Laouenan, C., Laribi, S., Le, M., Le Hingrat, Q., Le Mestre, S., Le Nagard, H., Lescure, F. -X., Levy, Y., Levy-Marchal, C., Lina, B., Lingas, G., Lucet, J. C., Malvy, D., Mambert, M., Mentre, F., Mercier, N., Meziane, A., Mouquet, H., Mullaert, J., Neant, N., Noret, M., Pages, J., Papadopoulos, A., Paul, C., Peiffer-Smadja, N., Petrov-Sanchez, V., Peytavin, G., Picone, O., Puechal, O., Rosa-Calatrava, M., Rossignol, B., Roy, C., Schneider, M., Semaille, C., Mohammed, N. S., Tagherset, L., Tardivon, C., Tellier, M. -C., Teoule, F., Terrier, O., Timsit, J. -F., Treoux, T., Tual, C., Tubiana, S., van der Werf, S., Vanel, N., Veislinger, A., Visseaux, B., Wiedemann, A., Yazdanpanah, Y., Abelc, L., Alcover, A., Aschard, H., Astrom, K., Bousso, P., Bruhns, P., Cumano, A., Demangel, C., Deriano, L., Santo, J. D., Dromer, F., Eberl, G., Enninga, J., Fellay, J., Gomperts-Boneca, I., Hasan, M., Hercberg, S., Lantz, O., Patin, E., Pellegrini, S., Pol, S., Rausell, A., Rogge, L., Sakuntabhai, A., Schwartz, O., Schwikowski, B., Shorte, S., Tangy, F., Toubert, A., Touvier, M., Ungeheuer, M. -N., Albert, M. L., Alavoine, L., Amat, K. K. A., Bielicki, J., Bruijning, P., Burdet, C., Caumes, E., Charpentier, C., Coignard, B., Costa, Y., Damond, F., Dechanet, A., Delmas, C., Ecobichon, J. -L., Enouf, V., Frezouls, W., Houhou, N., Ilic-Habensus, E., Kikoine, J., Lebeaux, D., Leclercq, A., Lehacaut, J., Letrou, S., Lucet, J. -C., Manchon, P., Mandic, M., Meghadecha, M., Motiejunaite, J., Nouroudine, M., Piquard, V., Postolache, A., Quintin, C., Rexach, J., Roufai, L., Terzian, Z., Thy, M., Vignali, V., van Agtmael, M., Algera, A. G., van Baarle, F., Bax, D., Beudel, M., Bogaard, H. J., Bomers, M., Bos, L., Botta, M., de Brabander, J., Bree, G., Brouwer, M. C., de Bruin, S., Bugiani, M., Bulle, E., Chouchane, O., Cloherty, A., Elbers, P., Fleuren, L., Geerlings, S., Geerts, B., Geijtenbeek, T., Girbes, A., Goorhuis, B., Grobusch, M. P., Hafkamp, F., Hagens, L., Hamann, J., Harris, V., Hemke, R., Hermans, S. M., Heunks, L., Hollmann, M. W., Horn, J., Hovius, J. W., de Jong, M. D., Koning, R., van Mourik, N., Nellen, J., Paulus, F., Peters, E., van der Poll, T., Preckel, B., Prins, J. M., Raasveld, J., Reijnders, T., Schinkel, M., Schultz, M. J., Schuurman, A., Sigaloff, K., Smit, M., Stijnis, C. S., Stilma, W., Teunissen, C., Thoral, P., Tsonas, A., van der Valk, M., Veelo, D., Vlaar, A. P. J., de Vries, H., van Vugt, M., Joost Wiersinga, W., Wouters, D., Zwinderman, A. H., Abelb, L., Muhsen, S. A., Al-Mulla, F., Anderson, M. S., Bogunovic, D., Bondarenko, A., Bryceson, Y., Bustamante, C. D., Butte, M., Chakravorty, S., Christodoulou, J., Cirulli, E., Condino-Neto, A., Cooper, M. A., Derisi, J. L., Desai, M., Drolet, B. A., Espinosa, S., Franco, J. L., Gregersen, P. K., Hagin, D., Heath, J., Henrickson, S. E., Hsieh, E., Imai, K., Itan, Y., Karamitros, T., Kisanda, K., C. -L., Ku, Ling, Y., Lucas, C. L., Maniatis, T., Marodi, L., Milner, J. D., Mironska, K., Morio, T., Notarangeloa, L. D., Novelli, G., Novelli, A., O'Farrelly, C., Okada, S., Planas, A. M., Prando, C., Pujol, A., Renia, L., Renieri, A., Sancho-Shimizu, V., Sankaran, V., Barrett, K. S., Snow, A., Tangye, S., Turvey, S., Uddin, F., Uddin, M. J., Vazquez, S. E., von Bernuth, H., Washington, N., Zawadzki, P., Sua, H. C., Casanovaa, J. -L., Bastard, Paul, Rosen, Lindsey B, Zhang, Qian, Michailidis, Eleftherio, Hoffmann, Hans-Heinrich, Zhang, Yu, Dorgham, Karim, Philippot, Quentin, Rosain, Jérémie, Béziat, Vivien, Manry, Jérémy, Shaw, Elana, Haljasmägi, Lii, Peterson, Pärt, Lorenzo, Lazaro, Bizien, Lucy, Trouillet-Assant, Sophie, Dobbs, Kerry, de Jesus, Adriana Almeida, Belot, Alexandre, Kallaste, Anne, Catherinot, Emilie, Tandjaoui-Lambiotte, Yacine, Le Pen, Jeremie, Kerner, Gaspard, Bigio, Benedetta, Seeleuthner, Yoann, Yang, Rui, Bolze, Alexandre, Spaan, András N, Delmonte, Ottavia M, Abers, Michael S, Aiuti, Alessandro, Casari, Giorgio, Lampasona, Vito, Piemonti, Lorenzo, Ciceri, Fabio, Bilguvar, Kaya, Lifton, Richard P, Vasse, Marc, Smadja, David M, Migaud, Mélanie, Hadjadj, Jérome, Terrier, Benjamin, Duffy, Darragh, Quintana-Murci, Llui, van de Beek, Diederik, Roussel, Lucie, Vinh, Donald C, Tangye, Stuart G, Haerynck, Filomeen, Dalmau, David, Martinez-Picado, Javier, Brodin, Petter, Nussenzweig, Michel C, Boisson-Dupuis, Stéphanie, Rodríguez-Gallego, Carlo, Vogt, Guillaume, Mogensen, Trine H, Oler, Andrew J, Gu, Jingwen, Burbelo, Peter D, Cohen, Jeffrey, Biondi, Andrea, Bettini, Laura Rachele, D'Angio, Mariella, Bonfanti, Paolo, Rossignol, Patrick, Mayaux, Julien, Rieux-Laucat, Frédéric, Husebye, Eystein S, Fusco, Francesca, Ursini, Matilde Valeria, Imberti, Luisa, Sottini, Alessandra, Paghera, Simone, Quiros-Roldan, Eugenia, Rossi, Camillo, Castagnoli, Riccardo, Montagna, Daniela, Licari, Amelia, Marseglia, Gian Luigi, Duval, Xavier, Ghosn, Jade, Tsang, John S, Goldbach-Mansky, Raphaela, Kisand, Kai, Lionakis, Michail S, Puel, Anne, Zhang, Shen-Ying, Holland, Steven M, Gorochov, Guy, Jouanguy, Emmanuelle, Rice, Charles M, Cobat, Aurélie, Notarangelo, Luigi D, Abel, Laurent, Su, Helen C, Casanova, Jean-Laurent, Meyts, Isabelle, Bastard, P, Rosen, L, Zhang, Q, Michailidis, E, Hoffmann, H, Zhang, Y, Dorgham, K, Philippot, Q, Rosain, J, Beziat, V, Manry, J, Shaw, E, Haljasmagi, L, Peterson, P, Lorenzo, L, Bizien, L, Trouillet-Assant, S, Dobbs, K, de Jesus, A, Belot, A, Kallaste, A, Catherinot, E, Tandjaoui-Lambiotte, Y, Le Pen, J, Kerner, G, Bigio, B, Seeleuthner, Y, Yang, R, Bolze, A, Spaan, A, Delmonte, O, Abers, M, Aiuti, A, Casari, G, Lampasona, V, Piemonti, L, Ciceri, F, Bilguvar, K, Lifton, R, Vasse, M, Smadja, D, Migaud, M, Hadjadj, J, Terrier, B, Duffy, D, Quintana-Murci, L, van de Beek, D, Roussel, L, Vinh, D, Tangye, S, Haerynck, F, Dalmau, D, Martinez-Picado, J, Brodin, P, Nussenzweig, M, Boisson-Dupuis, S, Rodriguez-Gallego, C, Vogt, G, Mogensen, T, Oler, A, Gu, J, Burbelo, P, Cohen, J, Biondi, A, Bettini, L, Dangio, M, Bonfanti, P, Rossignol, P, Mayaux, J, Rieux-Laucat, F, Husebye, E, Fusco, F, Ursini, M, Imberti, L, Sottini, A, Paghera, S, Quiros-Roldan, E, Rossi, C, Castagnoli, R, Montagna, D, Licari, A, Marseglia, G, Duval, X, Ghosn, J, Tsang, J, Goldbach-Mansky, R, Kisand, K, Lionakis, M, Puel, A, Zhang, S, Holland, S, Gorochov, G, Jouanguy, E, Rice, C, Cobat, A, Notarangelo, L, Abel, L, Su, H, Casanova, J, Arias, A, Boisson, B, Boucherit, S, Bustamante, J, Chbihi, M, Chen, J, Chrabieh, M, Kochetkov, T, Le Voyer, T, Liu, D, Nemirovskaya, Y, Ogishi, M, Papandrea, D, Patissier, C, Rapaport, F, Roynard, M, Vladikine, N, Woollett, M, Zhang, P, Kashyap, A, Ding, L, Bosticardo, M, Wang, Q, Ochoa, S, Liu, H, Chauvin, S, Stack, M, Koroleva, G, Bansal, N, Dalgard, C, Snow, A, Abad, J, Aguilera-Albesa, S, Akcan, O, Darazam, I, Aldave, J, Ramos, M, Nadji, S, Alkan, G, Allardet-Servent, J, Allende, L, Alsina, L, Alyanakian, M, Amador-Borrero, B, Amoura, Z, Antoli, A, Arslan, S, Assant, S, Auguet, T, Azot, A, Bajolle, F, Baldolli, A, Ballester, M, Feldman, H, Barrou, B, Beurton, A, Bilbao, A, Blanchard-Rohner, G, Blanco, I, Blandinieres, A, Blazquez-Gamero, D, Bloomfield, M, Bolivar-Prados, M, Borie, R, Bousfiha, A, Bouvattier, C, Boyarchuk, O, Bueno, M, Agra, J, Calimli, S, Capra, R, Carrabba, M, Casasnovas, C, Caseris, M, Castelle, M, Castelli, F, de Vera, M, Castro, M, Chalumeau, M, Charbit, B, Cheng, M, Clave, P, Clotet, B, Codina, A, Colkesen, F, Colobran, R, Comarmond, C, Corsico, A, Darley, D, Dauby, N, Dauger, S, de Pontual, L, Dehban, A, Delplancq, G, Demoule, A, Di Sabatino, A, Diehl, J, Dobbelaere, S, Durand, S, Eldars, W, Elgamal, M, Elnagdy, M, Emiroglu, M, Erdeniz, E, Aytekin, S, Euvrard, R, Evcen, R, Fabio, G, Faivre, L, Falck, A, Fartoukh, M, Faure, M, Arquero, M, Flores, C, Francois, B, Fumado, V, Solis, B, Gaussem, P, Gil-Herrera, J, Gilardin, L, Alarcon, M, Girona-Alarcon, M, Goffard, J, Gok, F, Gonzalez-Montelongo, R, Guerder, A, Gul, Y, Guner, S, Gut, M, Halwani, R, Hammarstrom, L, Hatipoglu, N, Hernandez-Brito, E, Holanda-Pena, M, Horcajada, J, Hraiech, S, Humbert, L, Iglesias, A, Inigo-Campos, A, Jamme, M, Arranz, M, Jordan, I, Kanat, F, Kapakli, H, Kara, I, Karbuz, A, Yasar, K, Keles, S, Demirkol, Y, Klocperk, A, Krol, Z, Kuentz, P, Kwan, Y, Lagier, J, Lau, Y, Le Bourgeois, F, Leo, Y, Lopez, R, Leung, D, Levin, M, Levy, M, Levy, R, Li, Z, Linglart, A, Lorenzo-Salazar, J, Louapre, C, Lubetzki, C, Luyt, C, Lye, D, Mansouri, D, Marjani, M, Pereira, J, Martin, A, Pueyo, D, Marzana, I, Mathian, A, Matos, L, Matthews, G, Mege, J, Melki, I, Meritet, J, Metin, O, Meyts, I, Mezidi, M, Migeotte, I, Millereux, M, Mirault, T, Mircher, C, Mirsaeidi, M, Melian, A, Martinez, A, Morange, P, Mordacq, C, Morelle, G, Mouly, S, Munoz-Barrera, A, Nafati, C, Neves, J, Ng, L, Medina, Y, Cuadros, E, Gonzalo Ocejo-Vinyals, J, Orbak, Z, Oualha, M, Ozcelik, T, Hammarstrom, Q, Parizot, C, Pascreau, T, Paz-Artal, E, de Diego, R, Philippe, A, Philippota, Q, Planas-Serra, L, Ploin, D, Poissy, J, Poncelet, G, Pouletty, M, Quentric, P, Raoult, D, Rebillat, A, Reisli, I, Ricart, P, Richard, J, Rivet, N, Riviere, J, Blanch, G, Rodrigo, C, Rodriguez-Palmero, A, Romero, C, Rothenbuhler, A, Rozenberg, F, del Prado, M, Riera, J, Sanchez, O, Sanchez-Ramon, S, Schluter, A, Schmidt, M, Schweitzer, C, Scolari, F, Sediva, A, Seijo, L, Sene, D, Senoglu, S, Seppanen, M, Ilovich, A, Shahrooei, M, Sobh, A, Moreno, X, Sole-Violan, J, Soler, C, Soler-Palacin, P, Stepanovskiy, Y, Stoclin, A, Taccone, F, Tandjaoui-Lambiottea, Y, Taupin, J, Tavernier, S, Thumerelle, C, Tomasoni, G, Toubiana, J, Alvarez, J, Trouillet-Assanta, S, Troya, J, Tucci, A, Uzunhan, Y, Vabres, P, Valencia-Ramos, J, van Den Rym, A, Vandernoot, I, Vatansev, H, Velez-Santamaria, V, Viel, S, Vilain, C, Vilaire, M, Vincent, A, Voiriot, G, Vuotto, F, Yosunkaya, A, Young, B, Yucel, F, Zannad, F, Zatz, M, Belota, A, Foti, G, Bellani, G, Citerio, G, Contro, E, Pesci, A, Valsecchi, M, Cazzaniga, M, Bole-Feysot, C, Lyonnet, S, Masson, C, Nitschke, P, Pouliet, A, Schmitt, Y, Tores, F, Zarhrate, M, Abela, L, Andrejak, C, Angoulvant, F, Bachelet, D, Basmaci, R, Behillil, S, Beluze, M, Benkerrou, D, Bhavsar, K, Bompart, F, Bouadma, L, Bouscambert, M, Caralp, M, Cervantes-Gonzalez, M, Chair, A, Coelho, A, Couffignal, C, Couffin-Cadiergues, S, D'Ortenzio, E, da Silveira, C, Debray, M, Deplanque, D, Descamps, D, Desvallees, M, Diallo, A, Diouf, A, Dorival, C, Dubos, F, Eloy, P, Enouf, V, Esperou, H, Esposito-Farese, M, Etienne, M, Ettalhaoui, N, Gault, N, Gaymard, A, Gigante, T, Gorenne, I, Guedj, J, Hoctin, A, Hoffmann, I, Jaafoura, S, Kafif, O, Kaguelidou, F, Kali, S, Khalil, A, Khan, C, Laouenan, C, Laribi, S, Le, M, Le Hingrat, Q, Le Mestre, S, Le Nagard, H, Lescure, F, Levy, Y, Levy-Marchal, C, Lina, B, Lingas, G, Lucet, J, Malvy, D, Mambert, M, Mentre, F, Mercier, N, Meziane, A, Mouquet, H, Mullaert, J, Neant, N, Noret, M, Pages, J, Papadopoulos, A, Paul, C, Peiffer-Smadja, N, Petrov-Sanchez, V, Peytavin, G, Picone, O, Puechal, O, Rosa-Calatrava, M, Rossignol, B, Roy, C, Schneider, M, Semaille, C, Mohammed, N, Tagherset, L, Tardivon, C, Tellier, M, Teoule, F, Terrier, O, Timsit, J, Treoux, T, Tual, C, Tubiana, S, van der Werf, S, Vanel, N, Veislinger, A, Visseaux, B, Wiedemann, A, Yazdanpanah, Y, Abelc, L, Alcover, A, Aschard, H, Astrom, K, Bousso, P, Bruhns, P, Cumano, A, Demangel, C, Deriano, L, Santo, J, Dromer, F, Eberl, G, Enninga, J, Fellay, J, Gomperts-Boneca, I, Hasan, M, Hercberg, S, Lantz, O, Patin, E, Pellegrini, S, Pol, S, Rausell, A, Rogge, L, Sakuntabhai, A, Schwartz, O, Schwikowski, B, Shorte, S, Tangy, F, Toubert, A, Touvier, M, Ungeheuer, M, Albert, M, Alavoine, L, Amat, K, Bielicki, J, Bruijning, P, Burdet, C, Caumes, E, Charpentier, C, Coignard, B, Costa, Y, Damond, F, Dechanet, A, Delmas, C, Ecobichon, J, Frezouls, W, Houhou, N, Ilic-Habensus, E, Kikoine, J, Lebeaux, D, Leclercq, A, Lehacaut, J, Letrou, S, Manchon, P, Mandic, M, Meghadecha, M, Motiejunaite, J, Nouroudine, M, Piquard, V, Postolache, A, Quintin, C, Rexach, J, Roufai, L, Terzian, Z, Thy, M, Vignali, V, van Agtmael, M, Algera, A, van Baarle, F, Bax, D, Beudel, M, Bogaard, H, Bomers, M, Bos, L, Botta, M, de Brabander, J, Bree, G, Brouwer, M, de Bruin, S, Bugiani, M, Bulle, E, Chouchane, O, Cloherty, A, Elbers, P, Fleuren, L, Geerlings, S, Geerts, B, Geijtenbeek, T, Girbes, A, Goorhuis, B, Grobusch, M, Hafkamp, F, Hagens, L, Hamann, J, Harris, V, Hemke, R, Hermans, S, Heunks, L, Hollmann, M, Horn, J, Hovius, J, de Jong, M, Koning, R, van Mourik, N, Nellen, J, Paulus, F, Peters, E, van der Poll, T, Preckel, B, Prins, J, Raasveld, J, Reijnders, T, Schinkel, M, Schultz, M, Schuurman, A, Sigaloff, K, Smit, M, Stijnis, C, Stilma, W, Teunissen, C, Thoral, P, Tsonas, A, van der Valk, M, Veelo, D, Vlaar, A, de Vries, H, van Vugt, M, Joost Wiersinga, W, Wouters, D, Zwinderman, A, Abelb, L, Iuti, F, Muhsen, S, Al-Mulla, F, Anderson, M, Bogunovic, D, Bondarenko, A, Bryceson, Y, Bustamante, C, Butte, M, Chakravorty, S, Christodoulou, J, Cirulli, E, Condino-Neto, A, Cooper, M, Derisi, J, Desai, M, Drolet, B, Espinosa, S, Franco, J, Gregersen, P, Hagin, D, Heath, J, Henrickson, S, Hsieh, E, Imai, K, Itan, Y, Karamitros, T, Kisanda, K, Ku, C, Ling, Y, Lucas, C, Maniatis, T, Marodi, L, Milner, J, Mironska, K, Morio, T, Notarangeloa, L, Novelli, G, Novelli, A, O'Farrelly, C, Okada, S, Planas, A, Prando, C, Pujol, A, Renia, L, Renieri, A, Sancho-Shimizu, V, Sankaran, V, Barrett, K, Turvey, S, Uddin, F, Uddin, M, Vazquez, S, von Bernuth, H, Washington, N, Zawadzki, P, Sua, H, Casanovaa, J, Human genetics of infectious diseases : Mendelian predisposition (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Rockefeller University [New York], National Institute of Allergy and Infectious Diseases [Bethesda] (NIAID-NIH), National Institutes of Health [Bethesda] (NIH), Centre d'Immunologie et de Maladies Infectieuses (CIMI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), University of Tartu, Hospices Civils de Lyon (HCL), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de référence des rhumatismes inflammatoires et maladies auto-immunes systémiques rares de l’enfant / National Referee Centre for Rheumatic and AutoImmune and Systemic Diseases in Children [Lyon] (RAISE), Lyon Immunopathology Federation (LIFe), Tartu University Hospital [Tartu, Estonia], Hôpital Foch [Suresnes], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hypoxie et Poumon : pneumopathologies fibrosantes, modulations ventilatoires et circulatoires (H&P), UFR SMBH-Université Sorbonne Paris Nord, Helix [San Mateo, CA], University Medical Center [Utrecht], IRCCS Ospedale San Raffaele [Milan, Italy], Universita Vita Salute San Raffaele = Vita-Salute San Raffaele University [Milan, Italie] (UniSR), Yale University School of Medicine, Innovations thérapeutiques en hémostase (IThEM - U1140), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Immunogenetics of pediatric autoimmune diseases (Equipe Inserm U1163), Centre National de Référence Maladies auto-immunes Systémiques Rares [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Université de Paris (UP), Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris], Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Chaire Génomique humaine et évolution, Collège de France (CdF (institution)), Amsterdam Neuroscience [Pays-Bas], Vrije Universiteit Amsterdam [Amsterdam] (VU)-University of Amsterdam [Amsterdam] (UvA)-VU University Medical Center [Amsterdam], McGill University Health Center [Montreal] (MUHC), Garvan Institute of Medical Research [Darlinghurst, Australia], University of New South Wales [Sydney] (UNSW), Ghent University Hospital, Hospital Universitario Mutua de Terrassa, Universitat de Barcelona (UB), Institut d’Investigació Germans Trias i Pujol = Germans Trias i Pujol Research Institute (IGTP), Universitat de Vic-Universitat Central de Catalunya, España, Institució Catalana de Recerca i Estudis Avançats (ICREA), Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Howard Hughes Medical Institute [New York] (HHMI), Howard Hughes Medical Institute (HHMI)-New York University School of Medicine, NYU System (NYU)-NYU System (NYU)-Rockefeller University [New York]-Columbia University Irving Medical Center (CUIMC), Hospital Universitario de Gran Canaria Dr Negrin, University Fernando Pessoa - UFP, Centre National de Recherche en Génomique Humaine (CNRGH), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Aarhus University Hospital, Aarhus University [Aarhus], Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), Fondazione MBBM-Ospedale [Monza, Italie], San Gerardo Hospital, Centre d'investigation clinique plurithématique Pierre Drouin [Nancy] (CIC-P), Centre d'investigation clinique [Nancy] (CIC), Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service d'Anesthésie réanimation [CHU Pitié-Salpêtrière], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Bergen (UiB), Haukeland University Hospital, Consiglio Nazionale delle Ricerche [Napoli] (CNR), Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia [Brescia], Università degli Studi di Brescia [Brescia], Università degli Studi di Pavia, Fondazione IRCCS Policlinico San Matteo, CIC - CHU Bichat, Institut National de la Santé et de la Recherche Médicale (INSERM), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Université de Paris - UFR Médecine Paris Nord [Santé] (UP Médecine Paris Nord), Service d'Immunologie [CHU Pitié-Salpétrière], Service d'immuno-hématologie pédiatrique [CHU Necker], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Necker - Enfants Malades [AP-HP], Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), UM1 HG006504/HG/NHGRI NIH HHS/United States, P01 AI138938/AI/NIAID NIH HHS/United States, U19 AI111825/AI/NIAID NIH HHS/United States, U24 HG008956/HG/NHGRI NIH HHS/United States, MR/S032304/1/MRC_/Medical Research Council/United Kingdom, UKRI Future Leader's Fellowship, The Laboratory of Human Genetics of Infectious Diseases is supported by the Howard Hughes Medical Institute, The Rockefeller University, the St. Giles Foundation, the National Institutes of Health (NIH) (R01AI088364), the National Center for Advancing Translational Sciences (NCATS), NIH Clinical and Translational Science Award (CTSA) program (UL1 TR001866), a Fast Grant from Emergent Ventures, the Mercatus Center at George Mason University, the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956), the French National Research Agency (ANR) under the Investments for the Future program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the French Foundation for Medical Research (FRM) (EQU201903007798), the FRM and ANR GENCOVID project (ANRS-COV05), the Square Foundation, Grandir – Fonds de solidarité pour l’enfance, the SCOR Corporate Foundation for Science, the Institut Institut National de la Santé et de la Recherche Médicale (INSERM), and the University of Paris. Samples from San Raffaele Hospital were obtained through the Covid-BioB project and by healthcare personnel of San Raffaele Hospital, San Raffaele Telethon Institute for Gene Therapy (SR-TIGET) clinical laboratory and clinical research unit, funded by the Program Project COVID-19 OSR-UniSR and Fondazione Telethon. The French COVID Cohort Study Group was sponsored by INSERM and supported by the REACTing consortium and by a grant from the French Ministry of Health (PHRC 20-0424). The Cov-Contact Cohort was supported by the REACTing consortium, the French Ministry of Health, and the European Commission (RECOVER WP 6). The Milieu Intérieur Consortium was supported by the French Government’s Investissement d’Avenir program, Laboratoire d’Excellence Milieu Intérieur grant (ANR-10-LABX-69-01) (primary investigators: L.Q.-M. and D.Du.). The Simoa experiment was supported by the PHRC-20-0375 COVID-19 grant 'DIGITAL COVID' (primary investigator: G.G.). S.G.T. is supported by a Leadership 3 Investigator Grant awarded by the National Health and Medical Research Council of Australia and a COVID19 Rapid Response Grant awarded by UNSW Sydney. C.R.-G. and colleagues were supported by the Instituto de Salud Carlos III (COV20_01333 and COV20_01334, Spanish Ministry of Science and Innovation RTC-2017-6471-1, AEI/FEDER, UE) and Cabildo Insular de Tenerife (CGIEU0000219140 and 'Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19'). S.T.-A. and A.B. were supported by ANR-20-COVI-0064 (primary investigator: A.Be.). This work is supported by the French Ministry of Health 'Programme Hospitalier de Recherche Clinique Inter regional 2013,' by the Contrat de Plan Etat-Lorraine and FEDER Lorraine, and by a public grant overseen by the French National Research Agency (ANR) as part of the second Investissements d’Avenir program FIGHT-HF (reference no. ANR-15-RHU-0004) and by the French PIA project 'Lorraine Université d’Excellence' (reference no. ANR-15-IDEX-04-LUE) (45), and biobanking is performed by the Biological Resource Center Lorrain BB-0033-00035. This study was supported by the Fonds IMMUNOV, for Innovation in Immunopathology, by a grant from the Agence National de la Recherche (ANR-flash Covid19 'AIROCovid' to F.R.-L.), and by the FAST Foundation (French Friends of Sheba Tel Hashomer Hospital). Work in the Laboratory of Virology and Infectious Disease was supported by NIH grants P01AI138398-S1, 2U19AI111825, and R01AI091707-10S1, a George Mason University Fast Grant, and the G. Harold and Leila Y. Mathers Charitable Foundation. The Amsterdam UMC Covid-19 Biobank was supported by grants from the Amsterdam Corona Research Fund, the Dr. C.J. Vaillant Fund, and the Netherlands Organization for Health Research and Development [ZonMw, NWO-Vici-Grant (grant no. 918·19·627 to D.v.d.B.)]. This work was also supported by the Division of Intramural Research of the National Institute of Dental Craniofacial Research and the National Institute of Allergy and Infectious Diseases, National Institutes of Health, and by Regione Lombardia, Italy (project 'Risposta immune in pazienti con COVID-19 e comorbidita'). The opinions and assertions expressed herein are those of the author(s) and do not necessarily reflect the official policy or position of the Uniformed Services University or the Department of Defense. J.H. holds an Institut Imagine M.D.-Ph.D. fellowship from the Fondation Bettencourt Schueller. J.R. is supported by the INSERM Ph.D. program ('poste d’accueil Inserm'). P.Ba. was supported by the French Foundation for Medical Research (FRM, EA20170638020) and the M.D.-Ph.D. program of the Imagine Institute (with the support of the Fondation Bettencourt-Schueller). We thank the Association 'Turner et vous' for their help and support. Sample processing at IrsiCaixa was possible thanks to the crowdfunding initiative YoMeCorono. D.C.V. is supported by the Fonds de la recherche en santé du Québec clinician-scientist scholar program. K.K. was supported by the Estonian Research Council grant PUT1367. We thank the GEN-COVID Multicenter Study (https://sites.google.com/dbm.unisi.it/gen-covid). We thank the NIAID Office of Cyber Infrastructure and Computational Biology, Bioinformatics and Computational Biosciences Branch (contract no. HHSN316201300006W/HHSN27200002 to MSC, Inc.), the Operations Engineering Branch for developing the HGRepo system to enable streamlined access to the data, and the NCI Advanced Biomedical Computational Science (ABCS) for data transformation support. Biomedical Advanced Research and Development Authority was supported under contract no. HHSO10201600031C (to J.H.). Financial support was provided by the National Institute of Allergy and Infectious Diseases (NIAID) K08AI135091, the Burroughs Wellcome Fund CAMS, the Clinical Immunology Society, and the American Academy of Allergy, Asthma, and Immunology, We thank the patients, their families, and healthy donors for placing their trust in us. We thank the French Incontinentia pigmenti association for their help and support. We thank Y. Nemirovskaya, D. Papandrea, M. Woollett, D. Liu, C. Rivalain, and C. Patissier for administrative assistance, D. Kapogiannis (National Institute on Aging) for providing healthy donor samples, and S. Xirasager, J. Barnett, X. Cheng, S. Weber, J. Danielson, B. Garabedian, and H. Matthews for their assistance in this study. We also thank R. Apps, B. Ryan, and Y. Belkaid of the CHI for their assistance. We thank the CRB-Institut Jérôme Lejeune, CRB-BioJeL, Paris, France, for their assistance. We thank M. C. García Guerrero, I. Erkizia, E. Grau, M. Massanella from IrsiCaixa AIDS Research Institute, Badalona, Spain, and J. Guitart from the Department of Clinical Genetics, University Hospital Germans Trias i Pujol, Badalona, Spain, for providing samples. We also thank J. Dalmau from IrsiCaixa for assistance, HGID Lab, NIAID-USUHS Immune Response to COVID Group, COVID Clinicians, COVID-STORM Clinicians, Imagine COVID Group, French COVID Cohort Study Group, The Milieu Intérieur Consortium, CoV-Contact Cohort, Amsterdam UMC Covid-19 Biobank, COVID Human Genetic, CoV-Contact Cohort: Loubna Alavoine, Karine K. A. Amat, Sylvie Behillil, Julia Bielicki, Patricia Bruijning, Charles Burdet, Eric Caumes, Charlotte Charpentier, Bruno Coignard, Yolande Costa, Sandrine Couffin-Cadiergues, Florence Damond, Aline Dechanet, Christelle Delmas, Diane Descamps, Xavier Duval, Jean-Luc Ecobichon, Vincent Enouf, Hélène Espérou, Wahiba Frezouls, Nadhira Houhou, Emila Ilic-Habensus, Ouifiya Kafif, John Kikoine, Quentin Le Hingrat, David Lebeaux, Anne Leclercq, Jonathan Lehacaut, Sophie Letrou, Bruno Lina, Jean-Christophe Lucet, Denis Malvy, Pauline Manchon, Milica Mandic, Mohamed Meghadecha, Justina Motiejunaite, Mariama Nouroudine, Valentine Piquard, Andreea Postolache, Caroline Quintin, Jade Rexach, Layidé Roufai, Zaven Terzian, Michael Thy, Sarah Tubiana, Sylvie van der Werf, Valérie Vignali, Benoit Visseaux, Yazdan Yazdanpanah, COVID Human Genetic Effort: Laurent Abel, Alessandro Aiuti, Saleh Al Muhsen, Fahd Al-Mulla, Mark S. Anderson, Andrés Augusto Arias, Hagit Baris Feldman, Dusan Bogunovic, Alexandre Bolze, Anastasiia Bondarenko, Ahmed A. Bousfiha, Petter Brodin, Yenan Bryceson, Carlos D. Bustamante, Manish Butte, Giorgio Casari, Samya Chakravorty, John Christodoulou, Elizabeth Cirulli, Antonio Condino-Neto, Megan A. Cooper, Clifton L. Dalgard, Joseph L. DeRisi, Murkesh Desai, Beth A. Drolet, Sara Espinosa, Jacques Fellay, Carlos Flores, Jose Luis Franco, Peter K. Gregersen, Filomeen Haerynck, David Hagin, Rabih Halwani, Jim Heath, Sarah E. Henrickson, Elena Hsieh, Kohsuke Imai, Yuval Itan, Timokratis Karamitros, Kai Kisand, Cheng-Lung Ku, Yu-Lung Lau, Yun Ling, Carrie L. Lucas, Tom Maniatis, Davoud Mansouri, Laszlo Marodi, Isabelle Meyts, Joshua D. Milner, Kristina Mironska, Trine Mogensen, Tomohiro Morio, Lisa F. P. Ng, Luigi D. Notarangelo, Giuseppe Novelli, Antonio Novelli, Cliona O'Farrelly, Satoshi Okada, Tayfun Ozcelik, Rebeca Perez de Diego, Anna M. Planas, Carolina Prando, Aurora Pujol, Lluis Quintana-Murci, Laurent Renia, Alessandra Renieri, Carlos Rodríguez-Gallego, Vanessa Sancho-Shimizu, Vijay Sankaran, Kelly Schiabor Barrett, Mohammed Shahrooei, Andrew Snow, Pere Soler-Palacín, András N. Spaan, Stuart Tangye, Stuart Turvey, Furkan Uddin, Mohammed J. Uddin, Diederik van de Beek, Sara E. Vazquez, Donald C. Vinh, Horst von Bernuth, Nicole Washington, Pawel Zawadzki, Helen C. Su, Jean-Laurent Casanova, Amsterdam UMC Covid-19 Biobank: Michiel van Agtmael, Anna Geke Algera, Frank van Baarle, Diane Bax, Martijn Beudel, Harm Jan Bogaard, Marije Bomers, Lieuwe Bos, Michela Botta, Justin de Brabander, Godelieve Bree, Matthijs C. Brouwer, Sanne de Bruin, Marianna Bugiani, Esther Bulle, Osoul Chouchane, Alex Cloherty, Paul Elbers, Lucas Fleuren, Suzanne Geerlings, Bart Geerts, Theo Geijtenbeek, Armand Girbes, Bram Goorhuis, Martin P. Grobusch, Florianne Hafkamp, Laura Hagens, Jorg Hamann, Vanessa Harris, Robert Hemke, Sabine M. Hermans, Leo Heunks, Markus W. Hollmann, Janneke Horn, Joppe W. Hovius, Menno D. de Jong, Rutger Koning, Niels van Mourik, Jeaninne Nellen, Frederique Paulus, Edgar Peters, Tom van der Poll, Benedikt Preckel, Jan M. Prins, Jorinde Raasveld, Tom Reijnders, Michiel Schinkel, Marcus J. Schultz, Alex Schuurman, Kim Sigaloff, Marry Smit, Cornelis S. Stijnis, Willemke Stilma, Charlotte Teunissen, Patrick Thoral, Anissa Tsonas, Marc van der Valk, Denise Veelo, Alexander P. J. Vlaar, Heder de Vries, Michèle van Vugt, W. Joost Wiersinga, Dorien Wouters, A. H. (Koos) Zwinderman, Diederik van de Beek, HGID Lab: Andrés Augusto Arias, Bertrand Boisson, Soraya Boucherit, Jacinta Bustamante, Marwa Chbihi, Jie Chen, Maya Chrabieh, Tatiana Kochetkov, Tom Le Voyer, Dana Liu, Yelena Nemirovskaya, Masato Ogishi, Dominick Papandrea, Cécile Patissier, Franck Rapaport, Manon Roynard, Natasha Vladikine, Mark Woollett, Peng Zhang, NIAID-USUHS Immune Response to COVID Group: Anuj Kashyap, Li Ding, Marita Bosticardo, Qinlu Wang, Sebastian Ochoa, Hui Liu, Samuel D. Chauvin, Michael Stack, Galina Koroleva, Neha Bansal, Clifton L. Dalgard, Andrew L. Snow, COVID Clinicians: Jorge Abad, Sergio Aguilera-Albesa, Ozge Metin Akcan, Ilad Alavi Darazam, Juan C. Aldave, Miquel Alfonso Ramos, Seyed Alireza Nadji, Gulsum Alkan, Jerome Allardet-Servent, Luis M. Allende, Laia Alsina, Marie-Alexandra Alyanakian, Blanca Amador-Borrero, Zahir Amoura, Arnau Antolí, Sevket Arslan, Sophie Assant, Terese Auguet, Axelle Azot, Fanny Bajolle, Aurélie Baldolli, Maite Ballester, Hagit Baris Feldman, Benoit Barrou, Alexandra Beurton, Agurtzane Bilbao, Geraldine Blanchard-Rohner, Ignacio Blanco, Adeline Blandinières, Daniel Blazquez-Gamero, Marketa Bloomfield, Mireia Bolivar-Prados, Raphael Borie, Ahmed A. Bousfiha, Claire Bouvattier, Oksana Boyarchuk, Maria Rita P. Bueno, Jacinta Bustamante, Juan José Cáceres Agra, Semra Calimli, Ruggero Capra, Maria Carrabba, Carlos Casasnovas, Marion Caseris, Martin Castelle, Francesco Castelli, Martín Castillo de Vera, Mateus V. Castro, Emilie Catherinot, Martin Chalumeau, Bruno Charbit, Matthew P. Cheng, Père Clavé, Bonaventura Clotet, Anna Codina, Fatih Colkesen, Fatma Colkesen, Roger Colobran, Cloé Comarmond, Angelo G. Corsico, David Dalmau, David Ross Darley, Nicolas Dauby, Stéphane Dauger, Loic de Pontual, Amin Dehban, Geoffroy Delplancq, Alexandre Demoule, Antonio Di Sabatino, Jean-Luc Diehl, Stephanie Dobbelaere, Sophie Durand, Waleed Eldars, Mohamed Elgamal, Marwa H. Elnagdy, Melike Emiroglu, Emine Hafize Erdeniz, Selma Erol Aytekin, Romain Euvrard, Recep Evcen, Giovanna Fabio, Laurence Faivre, Antonin Falck, Muriel Fartoukh, Morgane Faure, Miguel Fernandez Arquero, Carlos Flores, Bruno Francois, Victoria Fumadó, Francesca Fusco, Blanca Garcia Solis, Pascale Gaussem, Juana Gil-Herrera, Laurent Gilardin, Monica Girona Alarcon, Mónica Girona-Alarcón, Jean-Christophe Goffard, Funda Gok, Rafaela González-Montelongo, Antoine Guerder, Yahya Gul, Sukru Nail Guner, Marta Gut, Jérôme Hadjadj, Filomeen Haerynck, Rabih Halwani, Lennart Hammarström, Nevin Hatipoglu, Elisa Hernandez-Brito, María Soledad Holanda-Peña, Juan Pablo Horcajada, Sami Hraiech, Linda Humbert, Alejandro D. Iglesias, Antonio Íñigo-Campos, Matthieu Jamme, María Jesús Arranz, Iolanda Jordan, Fikret Kanat, Hasan Kapakli, Iskender Kara, Adem Karbuz, Kadriye Kart Yasar, Sevgi Keles, Yasemin Kendir Demirkol, Adam Klocperk, Zbigniew J. Król, Paul Kuentz, Yat Wah M. Kwan, Jean-Christophe Lagier, Yu-Lung Lau, Fleur Le Bourgeois, Yee-Sin Leo, Rafael Leon Lopez, Daniel Leung, Michael Levin, Michael Levy, Romain Lévy, Zhi Li, Agnes Linglart, José M. Lorenzo-Salazar, Céline Louapre, Catherine Lubetzki, Charles-Edouard Luyt, David C. Lye, Davood Mansouri, Majid Marjani, Jesus Marquez Pereira, Andrea Martin, David Martínez Pueyo, Javier Martinez-Picado, Iciar Marzana, Alexis Mathian, Larissa R. B. Matos, Gail V. Matthews, Julien Mayaux, Jean-Louis Mège, Isabelle Melki, Jean-François Meritet, Ozge Metin, Isabelle Meyts, Mehdi Mezidi, Isabelle Migeotte, Maude Millereux, Tristan Mirault, Clotilde Mircher, Mehdi Mirsaeidi, Abián Montesdeoca Melián, Antonio Morales Martinez, Pierre Morange, Clémence Mordacq, Guillaume Morelle, Stéphane Mouly, Adrián Muñoz-Barrera, Cyril Nafati, João Farela Neves, Lisa F. P. Ng Yeray Novoa Medina, Esmeralda Nuñez Cuadros, J. Gonzalo Ocejo-Vinyals, Zerrin Orbak, Mehdi Oualha, Tayfun Özçelik, Qiang Pan Hammarström, Christophe Parizot, Tiffany Pascreau, Estela Paz-Artal, Rebeca Pérez de Diego, Aurélien Philippe, Quentin Philippot, Laura Planas-Serra, Dominique Ploin, Julien Poissy, Géraldine Poncelet, Marie Pouletty, Paul Quentric, Didier Raoult, Anne-Sophie Rebillat, Ismail Reisli, Pilar Ricart, Jean-Christophe Richard, Nadia Rivet, Jacques G. Rivière, Gemma Rocamora Blanch, Carlos Rodrigo, Carlos Rodriguez-Gallego, Agustí Rodríguez-Palmero, Carolina Soledad Romero, Anya Rothenbuhler, Flore Rozenberg, Maria Yolanda Ruiz del Prado, Joan Sabater Riera, Oliver Sanchez, Silvia Sánchez-Ramón, Agatha Schluter, Matthieu Schmidt, Cyril E. Schweitzer, Francesco Scolari, Anna Sediva, Luis M. Seijo, Damien Sene, Sevtap Senoglu, Mikko R. J. Seppänen, Alex Serra Ilovich, Mohammad Shahrooei, David Smadja, Ali Sobh, Xavier Solanich Moreno, Jordi Solé-Violán, Catherine Soler, Pere Soler-Palacín, Yuri Stepanovskiy, Annabelle Stoclin, Fabio Taccone, Yacine Tandjaoui-Lambiotte, Jean-Luc Taupin, Simon J. Tavernier, Benjamin Terrier, Caroline Thumerelle, Gabriele Tomasoni, Julie Toubiana, Josep Trenado Alvarez, Sophie Trouillet-Assant, Jesús Troya, Alessandra Tucci, Matilde Valeria Ursini‬, Yurdagul Uzunhan, Pierre Vabres, Juan Valencia-Ramos, Ana Maria Van Den Rym, Isabelle Vandernoot, Hulya Vatansev, Valentina Vélez-Santamaria, Sébastien Viel, Cédric Vilain, Marie E. Vilaire, Audrey Vincent, Guillaume Voiriot, Fanny Vuotto, Alper Yosunkaya, Barnaby E. Young, Fatih Yucel, Faiez Zannad, Mayana Zatz, Alexandre Belot, COVID-STORM Clinicians: Giuseppe Foti, Giacomo Bellani, Giuseppe Citerio, Ernesto Contro, Alberto Pesci, Maria Grazia Valsecchi, Marina Cazzaniga, Imagine COVID Group: Christine Bole-Feysot, Stanislas Lyonnet, Cécile Masson, Patrick Nitschke, Aurore Pouliet, Yoann Schmitt, Frederic Tores, Mohammed Zarhrate, French COVID Cohort Study Group: Laurent Abel, Claire Andrejak, François Angoulvant, Delphine Bachelet, Romain Basmaci, Sylvie Behillil, Marine Beluze, Dehbia Benkerrou, Krishna Bhavsar, François Bompart, Lila Bouadma, Maude Bouscambert, Mireille Caralp, Minerva Cervantes-Gonzalez, Anissa Chair, Alexandra Coelho, Camille Couffignal, Sandrine Couffin-Cadiergues, Eric D’ortenzio, Charlene Da Silveira, Marie-Pierre Debray, Dominique Deplanque, Diane Descamps, Mathilde Desvallées, Alpha Diallo, Alphonsine Diouf, Céline Dorival, François Dubos, Xavier Duval, Philippine Eloy, Vincent V. E. Enouf, Hélène Esperou, Marina Esposito-Farese, Manuel Etienne, Nadia Ettalhaoui, Nathalie Gault, Alexandre Gaymard, Jade Ghosn, Tristan Gigante, Isabelle Gorenne, Jérémie Guedj, Alexandre Hoctin, Isabelle Hoffmann, Salma Jaafoura, Ouifiya Kafif, Florentia Kaguelidou, Sabina Kali, Antoine Khalil, Coralie Khan, Cédric Laouénan, Samira Laribi, Minh Le, Quentin Le Hingrat, Soizic Le Mestre, Hervé Le Nagard, François-Xavier Lescure, Yves Lévy, Claire Levy-Marchal, Bruno Lina, Guillaume Lingas, Jean Christophe Lucet, Denis Malvy, Marina Mambert, France Mentré, Noémie Mercier, Amina Meziane, Hugo Mouquet, Jimmy Mullaert, Nadège Neant, Marion Noret, Justine Pages, Aurélie Papadopoulos, Christelle Paul, Nathan Peiffer-Smadj, Ventzislava Petrov-Sanchez, Gilles Peytavin, Olivier Picone, Oriane Puéchal, Manuel Rosa-Calatrava, Bénédicte Rossignol, Patrick Rossignol, Carine Roy, Marion Schneider, Caroline Semaille, Nassima Si Mohammed, Lysa Tagherset, Coralie Tardivon, Marie-Capucine Tellier, François Téoulé, Olivier Terrier, Jean-François Timsit, Théo Treoux, Christelle Tual, Sarah Tubiana, Sylvie van der Werf, Noémie Vanel, Aurélie Veislinger, Benoit Visseaux, Aurélie Wiedemann, Yazdan Yazdanpanan, The Milieu Intérieur Consortium: Laurent Abel, Andres Alcover, Hugues Aschard, Kalla Astrom, Philippe Bousso, Pierre Bruhns, Ana Cumano, Caroline Demangel, Ludovic Deriano, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Jacques Fellay, Ivo Gomperts-Boneca, Milena Hasan, Serge Hercberg, Olivier Lantz, Hugo Mouquet, Etienne Patin, Sandra Pellegrini, Stanislas Pol, Antonio Rausell, Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Frédéric Tangy, Antoine Toubert, Mathilde Touvier, Marie-Noëlle Ungeheuer, Matthew L. Albert, Darragh Duffy, Lluis Quintana-Murci, ANR-10-IAHU-0001,Imagine,Institut Hospitalo-Universitaire Imagine(2010), ANR-10-LABX-0062,IBEID,Integrative Biology of Emerging Infectious Diseases(2010), ANR-20-COVI-0003,GENCOVID,Identification des défauts monogéniques de l'immunité responsables des formes sévères de COVID-19 chez les patients précédemment en bonne santé(2020), ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), ANR-20-COVI-0064,IFN-COVID19,Etude de la régulation de la réponse interferon de type I dans le control de l'infection par SARS-Cov2 et sa pathogènese(2020), ANR-15-RHUS-0004,FIGHT-HF,Combattre l'insuffisance cardiaque(2015), ANR-15-IDEX-0004,LUE,Isite LUE(2015), ANR-20-COVI-0022,AIROCovid19,Analyse Omics de la réponse immune aigue au cours de l'infection à Covid19: rationnel moléculaire pour un traitement ciblé(2020), Howard Hughes Medical Institute, Rockefeller University, National Institutes of Health (US), National Center for Advancing Translational Sciences (US), George Mason University, National Human Genome Research Institute (US), Agence Nationale de la Recherche (France), Fondation pour la Recherche Médicale, Pershing Square Foundation, Institut National de la Santé et de la Recherche Médicale (France), Université de Paris, Fondazione Telethon, Ministère des Solidarités et de la Santé (France), European Commission, National Health and Medical Research Council (Australia), University of New South Wales (Australia), Instituto de Salud Carlos III, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Cabildo de Tenerife, Fondation Bettencourt Schueller, Estonian Research Council, Rosen, Lindsey B., Michailidis, Eleftherios, Haljasmägi, Liis, Spaan, András N., Quintana-Murci, Lluis, Beek, Diederik van der, Vinh, Donald C., Tangye, Stuart G., Martínez-Picado, Javier, Brodin, Peter, Nussenzweig, Michel C., Rodríguez-Gallego, Carlos, Mogensen, Trine, Oler, Andrew J., Burbelo, Peter D., Husebye, Eystein S., Children's Hospital, HUS Children and Adolescents, Clinicum, Department of Medicine, Neurology, AII - Infectious diseases, ANS - Neuroinfection & -inflammation, Infectious diseases, ACS - Pulmonary hypertension & thrombosis, Intensive Care Medicine, ACS - Microcirculation, ACS - Heart failure & arrhythmias, Anesthesiology, ACS - Diabetes & metabolism, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Centre d'Immunologie et des Maladies Infectieuses (CIMI), Centre International de Recherche en Infectiologie (CIRI), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Yale School of Medicine [New Haven, Connecticut] (YSM), Innovations thérapeutiques en hémostase = Innovative Therapies in Haemostasis (IThEM - U1140), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Paris Cité (UPCité), Institut Pasteur [Paris] (IP), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Collège de France - Chaire Génomique humaine et évolution, Garvan Institute of medical research, Università degli Studi di Milano-Bicocca = University of Milano-Bicocca (UNIMIB), San Gerardo Hospital of Monza, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Défaillance Cardiovasculaire Aiguë et Chronique (DCAC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Cardiovascular and Renal Clinical Trialists [Vandoeuvre-les-Nancy] (INI-CRCT), Institut Lorrain du Coeur et des Vaisseaux Louis Mathieu [Nancy], French-Clinical Research Infrastructure Network - F-CRIN [Paris] (Cardiovascular & Renal Clinical Trialists - CRCT ), Università degli Studi di Brescia = University of Brescia (UniBs), Università degli Studi di Pavia = University of Pavia (UNIPV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, UFR Médecine [Santé] - Université Paris Cité (UFR Médecine UPCité), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), Virologie (CNRS-UMR3569), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), and J. Guitart from the Department of Clinical Genetics, University Hospital Germans Trias i Pujol, Badalona, Spain, for providing samples. We also thank J. Dalmau from IrsiCaixa for assistance HGID Lab, NIAID-USUHS Immune Response to COVID Group, COVID Clinicians, COVID-STORM Clinicians, Imagine COVID Group, French COVID Cohort Study Group, The Milieu Intérieur Consortium, CoV-Contact Cohort, Amsterdam UMC Covid-19 Biobank, COVID Human Genetic CoV-Contact Cohort: Loubna Alavoine, Karine K. A. Amat, Sylvie Behillil, Julia Bielicki, Patricia Bruijning, Charles Burdet, Eric Caumes, Charlotte Charpentier, Bruno Coignard, Yolande Costa, Sandrine Couffin-Cadiergues, Florence Damond, Aline Dechanet, Christelle Delmas, Diane Descamps, Xavier Duval, Jean-Luc Ecobichon, Vincent Enouf, Hélène Espérou, Wahiba Frezouls, Nadhira Houhou, Emila Ilic-Habensus, Ouifiya Kafif, John Kikoine, Quentin Le Hingrat, David Lebeaux, Anne Leclercq, Jonathan Lehacaut, Sophie Letrou, Bruno Lina, Jean-Christophe Lucet, Denis Malvy, Pauline Manchon, Milica Mandic, Mohamed Meghadecha, Justina Motiejunaite, Mariama Nouroudine, Valentine Piquard, Andreea Postolache, Caroline Quintin, Jade Rexach, Layidé Roufai, Zaven Terzian, Michael Thy, Sarah Tubiana, Sylvie van der Werf, Valérie Vignali, Benoit Visseaux, Yazdan Yazdanpanah COVID Human Genetic Effort: Laurent Abel, Alessandro Aiuti, Saleh Al Muhsen, Fahd Al-Mulla, Mark S. Anderson, Andrés Augusto Arias, Hagit Baris Feldman, Dusan Bogunovic, Alexandre Bolze, Anastasiia Bondarenko, Ahmed A. Bousfiha, Petter Brodin, Yenan Bryceson, Carlos D. Bustamante, Manish Butte, Giorgio Casari, Samya Chakravorty, John Christodoulou, Elizabeth Cirulli, Antonio Condino-Neto, Megan A. Cooper, Clifton L. Dalgard, Joseph L. DeRisi, Murkesh Desai, Beth A. Drolet, Sara Espinosa, Jacques Fellay, Carlos Flores, Jose Luis Franco, Peter K. Gregersen, Filomeen Haerynck, David Hagin, Rabih Halwani, Jim Heath, Sarah E. Henrickson, Elena Hsieh, Kohsuke Imai, Yuval Itan, Timokratis Karamitros, Kai Kisand, Cheng-Lung Ku, Yu-Lung Lau, Yun Ling, Carrie L. Lucas, Tom Maniatis, Davoud Mansouri, Laszlo Marodi, Isabelle Meyts, Joshua D. Milner, Kristina Mironska, Trine Mogensen, Tomohiro Morio, Lisa F. P. Ng, Luigi D. Notarangelo, Giuseppe Novelli, Antonio Novelli, Cliona O'Farrelly, Satoshi Okada, Tayfun Ozcelik, Rebeca Perez de Diego, Anna M. Planas, Carolina Prando, Aurora Pujol, Lluis Quintana-Murci, Laurent Renia, Alessandra Renieri, Carlos Rodríguez-Gallego, Vanessa Sancho-Shimizu, Vijay Sankaran, Kelly Schiabor Barrett, Mohammed Shahrooei, Andrew Snow, Pere Soler-Palacín, András N. Spaan, Stuart Tangye, Stuart Turvey, Furkan Uddin, Mohammed J. Uddin, Diederik van de Beek, Sara E. Vazquez, Donald C. Vinh, Horst von Bernuth, Nicole Washington, Pawel Zawadzki, Helen C. Su, Jean-Laurent Casanova Amsterdam UMC Covid-19 Biobank: Michiel van Agtmael, Anna Geke Algera, Frank van Baarle, Diane Bax, Martijn Beudel, Harm Jan Bogaard, Marije Bomers, Lieuwe Bos, Michela Botta, Justin de Brabander, Godelieve Bree, Matthijs C. Brouwer, Sanne de Bruin, Marianna Bugiani, Esther Bulle, Osoul Chouchane, Alex Cloherty, Paul Elbers, Lucas Fleuren, Suzanne Geerlings, Bart Geerts, Theo Geijtenbeek, Armand Girbes, Bram Goorhuis, Martin P. Grobusch, Florianne Hafkamp, Laura Hagens, Jorg Hamann, Vanessa Harris, Robert Hemke, Sabine M. Hermans, Leo Heunks, Markus W. Hollmann, Janneke Horn, Joppe W. Hovius, Menno D. de Jong, Rutger Koning, Niels van Mourik, Jeaninne Nellen, Frederique Paulus, Edgar Peters, Tom van der Poll, Benedikt Preckel, Jan M. Prins, Jorinde Raasveld, Tom Reijnders, Michiel Schinkel, Marcus J. Schultz, Alex Schuurman, Kim Sigaloff, Marry Smit, Cornelis S. Stijnis, Willemke Stilma, Charlotte Teunissen, Patrick Thoral, Anissa Tsonas, Marc van der Valk, Denise Veelo, Alexander P. J. Vlaar, Heder de Vries, Michèle van Vugt, W. Joost Wiersinga, Dorien Wouters, A. H. (Koos) Zwinderman, Diederik van de Beek HGID Lab: Andrés Augusto Arias, Bertrand Boisson, Soraya Boucherit, Jacinta Bustamante, Marwa Chbihi, Jie Chen, Maya Chrabieh, Tatiana Kochetkov, Tom Le Voyer, Dana Liu, Yelena Nemirovskaya, Masato Ogishi, Dominick Papandrea, Cécile Patissier, Franck Rapaport, Manon Roynard, Natasha Vladikine, Mark Woollett, Peng Zhang NIAID-USUHS Immune Response to COVID Group: Anuj Kashyap, Li Ding, Marita Bosticardo, Qinlu Wang, Sebastian Ochoa, Hui Liu, Samuel D. Chauvin, Michael Stack, Galina Koroleva, Neha Bansal, Clifton L. Dalgard, Andrew L. Snow COVID Clinicians: Jorge Abad, Sergio Aguilera-Albesa, Ozge Metin Akcan, Ilad Alavi Darazam, Juan C. Aldave, Miquel Alfonso Ramos, Seyed Alireza Nadji, Gulsum Alkan, Jerome Allardet-Servent, Luis M. Allende, Laia Alsina, Marie-Alexandra Alyanakian, Blanca Amador-Borrero, Zahir Amoura, Arnau Antolí, Sevket Arslan, Sophie Assant, Terese Auguet, Axelle Azot, Fanny Bajolle, Aurélie Baldolli, Maite Ballester, Hagit Baris Feldman, Benoit Barrou, Alexandra Beurton, Agurtzane Bilbao, Geraldine Blanchard-Rohner, Ignacio Blanco, Adeline Blandinières, Daniel Blazquez-Gamero, Marketa Bloomfield, Mireia Bolivar-Prados, Raphael Borie, Ahmed A. Bousfiha, Claire Bouvattier, Oksana Boyarchuk, Maria Rita P. Bueno, Jacinta Bustamante, Juan José Cáceres Agra, Semra Calimli, Ruggero Capra, Maria Carrabba, Carlos Casasnovas, Marion Caseris, Martin Castelle, Francesco Castelli, Martín Castillo de Vera, Mateus V. Castro, Emilie Catherinot, Martin Chalumeau, Bruno Charbit, Matthew P. Cheng, Père Clavé, Bonaventura Clotet, Anna Codina, Fatih Colkesen, Fatma Colkesen, Roger Colobran, Cloé Comarmond, Angelo G. Corsico, David Dalmau, David Ross Darley, Nicolas Dauby, Stéphane Dauger, Loic de Pontual, Amin Dehban, Geoffroy Delplancq, Alexandre Demoule, Antonio Di Sabatino, Jean-Luc Diehl, Stephanie Dobbelaere, Sophie Durand, Waleed Eldars, Mohamed Elgamal, Marwa H. Elnagdy, Melike Emiroglu, Emine Hafize Erdeniz, Selma Erol Aytekin, Romain Euvrard, Recep Evcen, Giovanna Fabio, Laurence Faivre, Antonin Falck, Muriel Fartoukh, Morgane Faure, Miguel Fernandez Arquero, Carlos Flores, Bruno Francois, Victoria Fumadó, Francesca Fusco, Blanca Garcia Solis, Pascale Gaussem, Juana Gil-Herrera, Laurent Gilardin, Monica Girona Alarcon, Mónica Girona-Alarcón, Jean-Christophe Goffard, Funda Gok, Rafaela González-Montelongo, Antoine Guerder, Yahya Gul, Sukru Nail Guner, Marta Gut, Jérôme Hadjadj, Filomeen Haerynck, Rabih Halwani, Lennart Hammarström, Nevin Hatipoglu, Elisa Hernandez-Brito, María Soledad Holanda-Peña, Juan Pablo Horcajada, Sami Hraiech, Linda Humbert, Alejandro D. Iglesias, Antonio Íñigo-Campos, Matthieu Jamme, María Jesús Arranz, Iolanda Jordan, Fikret Kanat, Hasan Kapakli, Iskender Kara, Adem Karbuz, Kadriye Kart Yasar, Sevgi Keles, Yasemin Kendir Demirkol, Adam Klocperk, Zbigniew J. Król, Paul Kuentz, Yat Wah M. Kwan, Jean-Christophe Lagier, Yu-Lung Lau, Fleur Le Bourgeois, Yee-Sin Leo, Rafael Leon Lopez, Daniel Leung, Michael Levin, Michael Levy, Romain Lévy, Zhi Li, Agnes Linglart, José M. Lorenzo-Salazar, Céline Louapre, Catherine Lubetzki, Charles-Edouard Luyt, David C. Lye, Davood Mansouri, Majid Marjani, Jesus Marquez Pereira, Andrea Martin, David Martínez Pueyo, Javier Martinez-Picado, Iciar Marzana, Alexis Mathian, Larissa R. B. Matos, Gail V. Matthews, Julien Mayaux, Jean-Louis Mège, Isabelle Melki, Jean-François Meritet, Ozge Metin, Isabelle Meyts, Mehdi Mezidi, Isabelle Migeotte, Maude Millereux, Tristan Mirault, Clotilde Mircher, Mehdi Mirsaeidi, Abián Montesdeoca Melián, Antonio Morales Martinez, Pierre Morange, Clémence Mordacq, Guillaume Morelle, Stéphane Mouly, Adrián Muñoz-Barrera, Cyril Nafati, João Farela Neves, Lisa F. P. Ng Yeray Novoa Medina, Esmeralda Nuñez Cuadros, J. Gonzalo Ocejo-Vinyals, Zerrin Orbak, Mehdi Oualha, Tayfun Özçelik, Qiang Pan Hammarström, Christophe Parizot, Tiffany Pascreau, Estela Paz-Artal, Rebeca Pérez de Diego, Aurélien Philippe, Quentin Philippot, Laura Planas-Serra, Dominique Ploin, Julien Poissy, Géraldine Poncelet, Marie Pouletty, Paul Quentric, Didier Raoult, Anne-Sophie Rebillat, Ismail Reisli, Pilar Ricart, Jean-Christophe Richard, Nadia Rivet, Jacques G. Rivière, Gemma Rocamora Blanch, Carlos Rodrigo, Carlos Rodriguez-Gallego, Agustí Rodríguez-Palmero, Carolina Soledad Romero, Anya Rothenbuhler, Flore Rozenberg, Maria Yolanda Ruiz del Prado, Joan Sabater Riera, Oliver Sanchez, Silvia Sánchez-Ramón, Agatha Schluter, Matthieu Schmidt, Cyril E. Schweitzer, Francesco Scolari, Anna Sediva, Luis M. Seijo, Damien Sene, Sevtap Senoglu, Mikko R. J. Seppänen, Alex Serra Ilovich, Mohammad Shahrooei, David Smadja, Ali Sobh, Xavier Solanich Moreno, Jordi Solé-Violán, Catherine Soler, Pere Soler-Palacín, Yuri Stepanovskiy, Annabelle Stoclin, Fabio Taccone, Yacine Tandjaoui-Lambiotte, Jean-Luc Taupin, Simon J. Tavernier, Benjamin Terrier, Caroline Thumerelle, Gabriele Tomasoni, Julie Toubiana, Josep Trenado Alvarez, Sophie Trouillet-Assant, Jesús Troya, Alessandra Tucci, Matilde Valeria Ursini‬, Yurdagul Uzunhan, Pierre Vabres, Juan Valencia-Ramos, Ana Maria Van Den Rym, Isabelle Vandernoot, Hulya Vatansev, Valentina Vélez-Santamaria, Sébastien Viel, Cédric Vilain, Marie E. Vilaire, Audrey Vincent, Guillaume Voiriot, Fanny Vuotto, Alper Yosunkaya, Barnaby E. Young, Fatih Yucel, Faiez Zannad, Mayana Zatz, Alexandre Belot COVID-STORM Clinicians: Giuseppe Foti, Giacomo Bellani, Giuseppe Citerio, Ernesto Contro, Alberto Pesci, Maria Grazia Valsecchi, Marina Cazzaniga Imagine COVID Group: Christine Bole-Feysot, Stanislas Lyonnet, Cécile Masson, Patrick Nitschke, Aurore Pouliet, Yoann Schmitt, Frederic Tores, Mohammed Zarhrate French COVID Cohort Study Group: Laurent Abel, Claire Andrejak, François Angoulvant, Delphine Bachelet, Romain Basmaci, Sylvie Behillil, Marine Beluze, Dehbia Benkerrou, Krishna Bhavsar, François Bompart, Lila Bouadma, Maude Bouscambert, Mireille Caralp, Minerva Cervantes-Gonzalez, Anissa Chair, Alexandra Coelho, Camille Couffignal, Sandrine Couffin-Cadiergues, Eric D’ortenzio, Charlene Da Silveira, Marie-Pierre Debray, Dominique Deplanque, Diane Descamps, Mathilde Desvallées, Alpha Diallo, Alphonsine Diouf, Céline Dorival, François Dubos, Xavier Duval, Philippine Eloy, Vincent V. E. Enouf, Hélène Esperou, Marina Esposito-Farese, Manuel Etienne, Nadia Ettalhaoui, Nathalie Gault, Alexandre Gaymard, Jade Ghosn, Tristan Gigante, Isabelle Gorenne, Jérémie Guedj, Alexandre Hoctin, Isabelle Hoffmann, Salma Jaafoura, Ouifiya Kafif, Florentia Kaguelidou, Sabina Kali, Antoine Khalil, Coralie Khan, Cédric Laouénan, Samira Laribi, Minh Le, Quentin Le Hingrat, Soizic Le Mestre, Hervé Le Nagard, François-Xavier Lescure, Yves Lévy, Claire Levy-Marchal, Bruno Lina, Guillaume Lingas, Jean Christophe Lucet, Denis Malvy, Marina Mambert, France Mentré, Noémie Mercier, Amina Meziane, Hugo Mouquet, Jimmy Mullaert, Nadège Neant, Marion Noret, Justine Pages, Aurélie Papadopoulos, Christelle Paul, Nathan Peiffer-Smadj, Ventzislava Petrov-Sanchez, Gilles Peytavin, Olivier Picone, Oriane Puéchal, Manuel Rosa-Calatrava, Bénédicte Rossignol, Patrick Rossignol, Carine Roy, Marion Schneider, Caroline Semaille, Nassima Si Mohammed, Lysa Tagherset, Coralie Tardivon, Marie-Capucine Tellier, François Téoulé, Olivier Terrier, Jean-François Timsit, Théo Treoux, Christelle Tual, Sarah Tubiana, Sylvie van der Werf, Noémie Vanel, Aurélie Veislinger, Benoit Visseaux, Aurélie Wiedemann, Yazdan Yazdanpanan The Milieu Intérieur Consortium: Laurent Abel, Andres Alcover, Hugues Aschard, Kalla Astrom, Philippe Bousso, Pierre Bruhns, Ana Cumano, Caroline Demangel, Ludovic Deriano, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Jacques Fellay, Ivo Gomperts-Boneca, Milena Hasan, Serge Hercberg, Olivier Lantz, Hugo Mouquet, Etienne Patin, Sandra Pellegrini, Stanislas Pol, Antonio Rausell, Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Frédéric Tangy, Antoine Toubert, Mathilde Touvier, Marie-Noëlle Ungeheuer, Matthew L. Albert, Darragh Duffy, Lluis Quintana-Murci, Bastard, Paul [0000-0002-5926-8437], Rosen, Lindsey B. [0000-0001-5894-3878], Zhang, Qian [0000-0002-9040-3289], Michailidis, Eleftherios [0000-0002-9907-4346], Dorgham, Karim [0000-0001-9539-3203], Béziat, Vivien [0000-0002-4020-824X], Manry, Jérémy [0000-0001-5998-2051], Shaw, Elana [0000-0001-9265-8026], Haljasmägi, Liis [0000-0001-7162-9808], Peterson, Pärt [0000-0001-6755-791X], Lorenzo, Lazaro [0000-0001-6648-8684], Bizien, Lucy [0000-0001-9163-9122], Trouillet-Assant, Sophie [0000-0001-6439-4705], Dobbs, Kerry [0000-0002-3432-3137], Belot, Alexandre [0000-0003-4902-5332], Kallaste, Anne [0000-0002-7492-667X], Tandjaoui-Lambiotte, Yacine [0000-0003-1123-4788], Le Pen, Jeremie [0000-0001-7025-9526], Kerner, Gaspard [0000-0003-0146-9428], Bigio, Benedetta [0000-0001-7291-5638], Yang, Rui [0000-0003-4427-2158], Bolze, Alexandre [0000-0001-7399-2766], Spaan, András N. [0000-0001-5981-7259], Aiuti, Alessandro [0000-0002-5398-1717], Lampasona, Vito [0000-0001-5162-8445], Piemonti, Lorenzo [0000-0002-2172-2198], Bilguvar, Kaya [0000-0002-7313-7652], Migaud, Mélanie [0000-0003-3062-1214], Hadjadj, Jérome [0000-0002-2520-3272], Terrier, Benjamin [0000-0001-6612-7336], Duffy, Darragh [0000-0002-8875-2308], Quintana-Murci, Lluis [0000-0003-2429-6320], Beek, Diederik van der [0000-0002-4571-044X], Roussel, Lucie [0000-0001-5355-702X], Vinh, Donald C. [0000-0003-1347-7767], Tangye, Stuart G. [0000-0002-5360-5180], Dalmau, David [0000-0003-1936-478X], Martínez-Picado, Javier [0000-0002-4916-2129], Brodin, Peter [0000-0002-8103-0046], Nussenzweig, Michel C. [0000-0003-0592-8564], Boisson-Dupuis, Stéphanie [0000-0002-7115-116X], Rodríguez-Gallego, Carlos [0000-0002-4344-8644], Mogensen, Trine [0000-0002-1853-9704], Oler, Andrew J. [0000-0002-6310-0434], Burbelo, Peter D. [0000-0003-1717-048X], Cohen, Jeffrey [0000-0003-0238-7176], Bettini, Laura Rachele [0000-0002-0280-1704], Bonfanti, Paolo [0000-0001-7289-8823], Rieux-Laucat, Frédéric [0000-0001-7858-7866], Husebye, Eystein S. [0000-0002-7886-2976], Castagnoli, Riccardo [0000-0003-0029-9383], Licari, Amelia [0000-0002-1773-6482], Vougny, Marie-Christine, Integrative Biology of Emerging Infectious Diseases - - IBEID2010 - ANR-10-LABX-0062 - LABX - VALID, Instituts Hospitalo-Universitaires - Institut Hospitalo-Universitaire Imagine - - Imagine2010 - ANR-10-IAHU-0001 - IAHU - VALID, Laboratoires d'excellence - GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE - - MILIEU INTERIEUR2010 - ANR-10-LABX-0069 - LABX - VALID, ISITE - Isite LUE - - LUE2015 - ANR-15-IDEX-0004 - IDEX - VALID, Combattre l'insuffisance cardiaque - - FIGHT-HF2015 - ANR-15-RHUS-0004 - RHUS - VALID, Etude de la régulation de la réponse interferon de type I dans le control de l'infection par SARS-Cov2 et sa pathogènese - - IFN-COVID192020 - ANR-20-COVI-0064 - COVID-19 - VALID, Analyse Omics de la réponse immune aigue au cours de l'infection à Covid19: rationnel moléculaire pour un traitement ciblé - - AIROCovid192020 - ANR-20-COVI-0022 - COVID-19 - VALID, Identification des défauts monogéniques de l'immunité responsables des formes sévères de COVID-19 chez les patients précédemment en bonne santé - - GENCOVID2020 - ANR-20-COVI-0003 - COVID-19 - VALID, Service de Département de médecine interne et immunologie clinique [CHU Pitié-Salpêtrière] (DMIIC), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Université Paris Cité - UFR Médecine [Santé] (UPCité UFR Médecine), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut National de la Santé et de la Recherche Médicale (INSERM)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Howard Hughes Medical Institute (HHMI)-Rockefeller University [New York]-Columbia University Irving Medical Center (CUIMC)-New York University School of Medicine, NYU System (NYU)-NYU System (NYU), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service d'anesthésiologie et soins intensifs [CHU Pitié-Salpêtrière], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université, Paris Diderot - Paris 7 - UFR Lettres, Arts, Langues, Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, Service d'immunologie [CHU Pitié-Salpétrière], Funding: The Laboratory of Human Genetics of Infectious Diseases is supported by the Howard Hughes Medical Institute, the Rockefeller University, the St. Giles Foundation, the National Institutes of Health (NIH) (R01AI088364), the National Center for Advancing Translational Sciences (NCATS), NIH Clinical and Translational Science Award (CTSA) program (UL1 TR001866), a Fast Grant from Emergent Ventures, Mercatus Center at George Mason University, the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956), the French National Research Agency (ANR) under the 'Investments for the Future' program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the French Foundation for Medical Research (FRM) (EQU201903007798), the FRM and ANR GENCOVID project, ANRS-COV05, the Square Foundation, Grandir - Fonds de solidarité pour l’enfance, the SCOR Corporate Foundation for Science, Institut Institut National de la Santé et de la Recherche Médicale (INSERM) and the University of Paris. Samples from San Raffaele Hospital were obtained within the Covid-BioB project and healthcare personnel of San Raffaele Hospital, San Raffaele Telethon Institute for Gene Therapy (SR-TIGET) clinical lab and clinical research Unit, funded by the Program Project COVID-19 OSR-UniSR and Fondazione Telethon. The French COVID Cohort study group was sponsored by Inserm and supported by the REACTing consortium and by a grant from the French Ministry of Health (PHRC 20-0424). The Cov-Contact Cohort was supported by the REACTing consortium, the French Ministry of Health, and the European Commission (RECOVER WP 6). The 'Milieu Intérieur' cohort was supported by was supported by the French Government’s Investissement d’Avenir Program, Laboratoire d’Excellence 'Milieu Intérieur' Grant (ANR-10-LABX-69-01) (PI: L Quintana-Murci & D Duffy). The Simoa experiment was supported by the PHRC-20-0375 COVID-19 grant 'DIGITAL COVID' (PI: G Gorochov). SGT is supported by a Leadership 3 Investigator Grant awarded by the National Health and Medical Research Council of Australia, and a COVID19 Rapid Response Grant awarded by UNSW Sydney. CRG and colleagues were supported by Instituto de Salud Carlos III (COV20_01333 and COV20_01334, Spanish Ministry of Science and Innovation -RTC-2017-6471-1, AEI/FEDER, UE), and Cabildo Insular de Tenerife (CGIEU0000219140 and 'Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19'). SA and AB were supported by ANR-20-COVI-0064 (PI: A Belot). This work is supported by the French Ministry of Health 'Programme Hospitalier de Recherche Clinique Inter regional 2013', by the Contrat de Plan Etat-Lorraine and FEDER Lorraine, and a public grant overseen by the French National Research Agency (ANR) as part of the second 'Investissements d’Avenir' program FIGHT-HF (reference: ANR-15-RHU-0004) and by the French PIA project 'Lorraine Université d’Excellence', reference ANR-15-IDEX-04-LUE (45) and biobanking is performed by the Biological Resource Center Lorrain BB-0033-00035. This study was supported by the Fonds IMMUNOV, for Innovation in Immunopathology and by a grant from the Agence National de la Recherche (ANR-flash Covid19 'AIROCovid' to FRL), and by the FAST Foundation (French Friends of Sheba Tel Hashomer Hospital). Work in the Laboratory of Virology and Infectious Disease was supported by NIH grants P01AI138398-S1, 2U19AI111825, and R01AI091707-10S1, a George Mason University Fast Grant, and the G. Harold and Leila Y. Mathers Charitable Foundation. The Amsterdam UMC Covid-19 Biobank was supported by grants of the Amsterdam Corona Research Fund, Dr. C.J. Vaillant Fund, and Netherlands Organization for Health Research and Development (ZonMw, NWO-Vici-Grant [grant number 918·19·627 to DvdB]. This work was also supported by the Division of Intramural Research of the National Institute of Dental Craniofacial Research and National Institute of Allergy and Infectious Diseases, National Institutes of Health, and by Regione Lombardia, Italy (project 'Risposta immune in pazienti con COVID-19 e comorbidita'). The opinions and assertions expressed herein are those of the author(s) and do not necessarily reflect the official policy or position of the Uniformed Services University or the Department of Defense. JH holds an Institut Imagine MD-PhD fellowship from the Fondation Bettencourt Schueller. JR is supported by the Inserm PhD program ('poste d’accueil Inserm'). PB was supported by the French Foundation for Medical Research (FRM, EA20170638020) and the MD-PhD program of the Imagine Institute (with the support of the Fondation Bettencourt-Schueller). We thank the Association 'Turner et vous' for their help and support. Sample processing at IrsiCaixa was possible thanks to the crowdfunding initiative YoMeCorono. DCV is supported by the Fonds de la recherche en santé du Québec clinician-scientist scholar program. K. Kisand was supported by the Estonian Research Council grant PUT1367. We thank the GEN-COVID Multicenter Study (https://sites.google.com/dbm.unisi.it/gen-covid). We thank the NIAID Office of Cyber Infrastructure and Computational Biology, Bioinformatics and Computational Biosciences Branch (Contract HHSN316201300006W/HHSN27200002 to MSC, Inc) and Operations Engineering Branch for developing the HGRepo system to enable streamlined access to the data and the NCI Advanced Biomedical Computational Science (ABCS) for data transformation support., The Milieu Intérieur Consortium : Laurent Abel 1, Andres Alcover 2, Hugues Aschard 2, Kalla Astrom 3, Philippe Bousso 2, Pierre Bruhns 2, Ana Cumano 2, Caroline Demangel 2, Ludovic Deriano 2, James Di Santo 2, Françoise Dromer 2, Gérard Eberl 2, Jost Enninga 2, Jacques Fellay 4, Ivo Gomperts-Boneca 2, Milena Hasan 2, Serge Hercberg 5, Olivier Lantz 6, Hugo Mouquet 2, Etienne Patin 2, Sandra Pellegrini 2, Stanislas Pol 7, Antonio Rausell 8, Lars Rogge 2, Anavaj Sakuntabhai 2, Olivier Schwartz 2, Benno Schwikowski 2, Spencer Shorte 2, Frédéric Tangy 2, Antoine Toubert 9, Mathilde Touvier 10, Marie-Noëlle Ungeheuer 2, Matthew L. Albert 11*, Darragh Duffy 2*, Lluis Quintana-Murci 2* - 1INSERM U1163, University of Paris, Imagine Institute, Paris, France. 2Pasteur Institute, Paris, France. 3Lund University, Lund, Sweden. 4EPFL, Lausanne, Switzerland. 5Université Paris 13, Paris, France. 6Curie Institute, Paris, France. 7Cochin Hospital, Paris, France. 8INSERM UMR 1163 – Institut Imagine, Paris, France. 9Hôpital Saint-Louis, Paris, France. 10Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Bobigny, France. 11In Sitro, San Francisco, CA, USA. *Co-coordinators of The Milieu Intérieur Consortium. Additional information can be found at: www.milieuinterieur.fr/en., Amsterdam UMC Covid-19 Biobank Michiel van Agtmael1, Anna Geke Algera2, Frank van Baarle2, Diane Bax3, Martijn Beudel4, Harm Jan Bogaard5, Marije Bomers1, Lieuwe Bos2, Michela Botta2, Justin de Brabander6, Godelieve Bree6, Matthijs C. Brouwer4, Sanne de Bruin2, Marianna Bugiani7, Esther Bulle2, Osoul Chouchane1, Alex Cloherty3, Paul Elbers2, Lucas Fleuren2, Suzanne Geerlings1, Bart Geerts8, Theo Geijtenbeek9, Armand Girbes2, Bram Goorhuis1, Martin P. Grobusch1, Florianne Hafkamp9, Laura Hagens2, Jorg Hamann10, Vanessa Harris1, Robert Hemke11, Sabine M. Hermans1, Leo Heunks2, Markus W. Hollmann8, Janneke Horn2, Joppe W. Hovius1, Menno D. de Jong12, Rutger Koning4, Niels van Mourik2, Jeaninne Nellen1, Frederique Paulus2, Edgar Peters1, Tom van der Poll1, Benedikt Preckel8, Jan M. Prins1, Jorinde Raasveld2, Tom Reijnders1, Michiel Schinkel1, Marcus J. Schultz2, Alex Schuurman13, Kim Sigaloff1, Marry Smit2, Cornelis S. Stijnis1, Willemke Stilma2, Charlotte Teunissen14, Patrick Thoral2, Anissa Tsonas2, Marc van der Valk1, Denise Veelo8, Alexander P. J. Vlaar15, Heder de Vries2, Michèle van Vugt1, W. Joost Wiersinga1, Dorien Wouters16, A. H. (Koos) Zwinderman17, Diederik van de Beek18* 1Department of Infectious Diseases, Amsterdam UMC, Amsterdam, Netherlands. 2Department of Intensive Care, Amsterdam UMC, Amsterdam, Netherlands. 3Experimental Immunology, Amsterdam UMC, Amsterdam, Netherlands. 4Department of Neurology, Amsterdam UMC, Amsterdam Neuroscience, Amsterdam, Netherlands. 5Department of Pulmonology, Amsterdam UMC, Amsterdam, Netherlands. 6Department of Infectious Diseases, Amsterdam UMC, Amsterdam, Netherlands. 7Department of Pathology, Amsterdam UMC, Amsterdam, Netherlands. 8Department of Anesthesiology, Amsterdam UMC, Amsterdam, Netherlands. 9Department of Experimental Immunology, Amsterdam UMC, Amsterdam, Netherlands. 10Amsterdam UMC, Netherlands Biobank Core Facility, Amsterdam UMC, Amsterdam, Netherlands. 11Department of Radiology, Amsterdam UMC, Amsterdam, Netherlands. 12Department of Medical Microbiology, Amsterdam UMC, Amsterdam, Netherlands. 13Department of Internal Medicine, Amsterdam UMC, Amsterdam, Netherlands. 14Neurochemical Laboratory, Amsterdam UMC, Amsterdam, Netherlands. 15Deparment of Intensive Care, Amsterdam UMC, Amsterdam, Netherlands. 16Department of Clinical Chemistry, Amsterdam UMC, Amsterdam, Netherlands. 17Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, Amsterdam, Netherlands. 18Department of Neurology, Amsterdam UMC, Amsterdam, Netherlands. *Leader of the AMC consortium., COVID Human Genetic Effort Laurent Abel1, Alessandro Aiuti2, Saleh Al Muhsen3, Fahd Al-Mulla4, Mark S. Anderson5, Andrés Augusto Arias6, Hagit Baris Feldman7, Dusan Bogunovic8, Alexandre Bolze9, Anastasiia Bondarenko10, Ahmed A. Bousfiha11, Petter Brodin12, Yenan Bryceson12, Carlos D. Bustamante13, Manish Butte14, Giorgio Casari15, Samya Chakravorty16, John Christodoulou17, Elizabeth Cirulli9, Antonio Condino-Neto18, Megan A. Cooper19, Clifton L. Dalgard20, Joseph L. DeRisi21, Murkesh Desai22, Beth A. Drolet23, Sara Espinosa24, Jacques Fellay25, Carlos Flores26, Jose Luis Franco27, Peter K. Gregersen28, Filomeen Haerynck29, David Hagin30, Rabih Halwani31, Jim Heath32, Sarah E. Henrickson33, Elena Hsieh34, Kohsuke Imai35, Yuval Itan8, Timokratis Karamitros36, Kai Kisand37, Cheng-Lung Ku38, Yu-Lung Lau39, Yun Ling40, Carrie L. Lucas41, Tom Maniatis42, Davoud Mansouri43, Laszlo Marodi44, Isabelle Meyts45, Joshua D. Milner46, Kristina Mironska47, Trine Mogensen48, Tomohiro Morio49, Lisa F. P. Ng50, Luigi D. Notarangelo51, Giuseppe Novelli52, Antonio Novelli53, Cliona O'Farrelly54, Satoshi Okada55, Tayfun Ozcelik56, Rebeca Perez de Diego57, Anna M. Planas58, Carolina Prando59, Aurora Pujol60, Lluis Quintana-Murci61, Laurent Renia62, Alessandra Renieri63, Carlos Rodríguez-Gallego64, Vanessa Sancho-Shimizu65, Vijay Sankaran66, Kelly Schiabor Barrett9, Mohammed Shahrooei67, Andrew Snow68, Pere Soler-Palacín69, András N. Spaan70, Stuart Tangye71, Stuart Turvey72, Furkan Uddin73, Mohammed J. Uddin74, Diederik van de Beek75, Sara E. Vazquez76, Donald C. Vinh77, Horst von Bernuth78, Nicole Washington9, Pawel Zawadzki79, Helen C. Su51*, Jean-Laurent Casanova80* 1INSERM U1163, University of Paris, Imagine Institute, Paris, France. 2San Raffaele Telethon Institute for Gene Therapy, IRCCS Ospedale San Raffaele, Milan, Italy. 3King Saud University, Riyadh, Saudi Arabia. 4Dasman Diabetes Institute, Department of Genetics and Bioinformatics, Dasman, Kuwait. 5University of California, San Francisco, San Francisco, CA, USA. 6Universidad de Antioquia, Group of Primary Immunodeficiencies, Antioquia, Colombia. 7The Genetics Institute, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. 8Icahn School of Medicine at Mount Sinai, New York, NY, USA. 9Helix, San Mateo, CA, USA. 10Shupyk National Medical Academy for Postgraduate Education, Kiev, Ukraine. 11Clinical Immunology Unit, Pediatric Infectious Disease Department, Faculty of Medicine and Pharmacy, Averroes University Hospital, LICIA Laboratoire d'immunologie clinique, d'inflammation et d'allergie, Hassann Ii University, Casablanca, Morocco. 12Karolinska Institute, Stockholm, Sweden. 13Stanford University, Stanford, CA, USA. 14University of California, Los Angeles, CA, USA. 15Medical Genetics, IRCCS Ospedale San Raffaele, Milan, Italy. 16Department of Pediatrics and Children’s Healthcare of Atlanta, Emory University, Atlanta, GA, USA. 17Murdoch Children's Research Institute, Victoria, Australia. 18University of São Paulo, São Paulo, Brazil. 19Washington University School of Medicine, St. Louis, MO, USA. 20The American Genome Center, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. 21University of California San Francisco, Chan Zuckerberg Biohub, San Francisco, CA, USA. 22Bai Jerbai Wadia Hospital for Children, Mumbai, India. 23 School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA. 24Instituto Nacional de Pediatria (National Institute of Pediatrics), Mexico City, Mexico. 25Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland. 26Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Canarian Health System, Santa Cruz de Tenerife, Spain. 27University of Antioquia, Medellín, Colombia. 28Feinstein Institute for Medical Research, Northwell Health USA, Manhasset, NY, USA. 29Department of Paediatric Immunology and Pulmonology, Centre for Primary Immunodeficiency Ghent (CPIG), PID Research Laboratory, Jeffrey Modell Diagnosis and Research Centre, Ghent University Hospital, Edegem, Belgium. 30The Genetics Institute Tel Aviv Sourasky Medical Center, Tel Aviv, Israel. 31Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates. 32Institute for Systems Biology, Seattle, WA, USA. 33Children's Hospital of Philadelphia, Philadelphia, PA, USA. 34Anschutz Medical Campus, Aurora, CO, USA. 35Riken, Tokyo, Japan. 36Hellenic Pasteur Institute, Athens, Greece. 37University of Tartu, Tartu, Estonia. 38Chang Gung University, Taoyuan County, Taiwan. 39The University of Hong Kong, Hong Kong, China. 40Shanghai Public Health Clinical Center, Fudan University, Shanghai, China. 41Yale School of Medicine, New Haven, CT, USA. 42New York Genome Center, New York, NY, USA. 43Shahid Beheshti University of Medical Sciences, Tehran, Iran. 44Semmelweis University Budapest, Budapest, Hungary. 45KU Leuven, Department of Immunology, Microbiology and Transplantation, Leuven, Belgium. 46Columbia University Medical Center, New York, NY, USA. 47University Clinic for Children's Diseases, Skopje, North Macedonia. 48Aarhus University, Aarhus, Denmark. 49Tokyo Medical & Dental University Hospital, Tokyo, Japan. 50Singapore Immunology Network, Singapore. 51National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. 52Department of Biomedicine and Prevention, University of Rome 'Tor Vergata,' Rome, Italy. 53Bambino Gesù Children's Hospital, Rome, Italy. 54Trinity College, Dublin, Ireland. 55Hiroshima University, Hiroshima, Japan. 56Bilkent University, Ankara, Turkey. 57Laboratory of Immunogenetics of Human Diseases, Innate Immunity Group, IdiPAZ Institute for Health Research, La Paz Hospital, Madrid, Spain. 58IIBB-CSIC, IDIBAPS, Barcelona, Spain. 59Faculdades Pequeno Príncipe e Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Brazil. 60Neurometabolic Diseases Laboratory, IDIBELL - Hospital Duran I Reynals, Catalan Institution for Research and Advanced Studies (ICREA), CIBERER U759, ISCiii Madrid Spain, Barcelona, Spain. 61Institut Pasteur (CNRS UMR2000) and Collège de France, Paris, France. 62Infectious Diseases Horizontal Technology Center and Singapore Immunology Network, Agency for Science Technology (A*STAR), Singapore. 63Medical Genetics, University of Siena, Italy, Genetica Medica, Azienda Ospedaliero-Universitaria Senese, GEN-COVID Multicenter Study, Italy. 64Hospital Universitario de Gran Canaria Dr Negrín, Canarian Health System, Canary Islands, Spain. 65Imperial College London, London, UK. 66Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. 67Saeed Pathobiology and Genetic Laboratory, Tehran, Iran. 68Uniformed Services University of the Health Sciences (USUHS), Bethesda, MD, USA. 69Hospital Universitari Vall d'Hebron, Barcelona, Spain. 70University Medical Center Utrecht, Amsterdam, Netherlands. 71Garvan Institute of Medical Research, Sydney, Australia. 72The University of British Columbia, Vancouver, Canada. 73Holy Family Red Crescent Medical College, Centre for Precision Therapeutics, NeuroGen Children's Healthcare, Genetics and Genomic Medicine Centre, NeuroGen Children's Healthcare, Dhaka, Bangladesh. 74Mohammed Bin Rashid University of Medicine and Health Sciences, College of Medicine, Dubai, United Arab Emirates, The Centre for Applied Genomics, Department of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada. 75Amsterdam UMC, University of Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam, Netherlands. 76University of California, San Francisco, San Francisco, CA, USA. 77McGill University Health Centre, Montreal, Canada. 78Charité - Berlin University Hospital Center, Berlin, Germany. 79Molecular Biophysics Division, Faculty of Physics, A. Mickiewicz University, Uniwersytetu Poznanskiego 2, Poznań, Poland. 80The Rockefeller University, Howard Hughes Medical Institute, Necker Hospital, New York, NY, USA. *Leaders of the COVID Human Genetic Effort., ANR-10-LABX-0062,IBEID,Biologie Intégrative des Maladies Infectieuses Emergentes(2011), ANR-10-LABX-0020,NUMEV,Digital and Hardware Solutions and Modeling for the Environement and Life Sciences(2010), European Project: 101003589, H2020-SC1-PHE-CORONAVIRUS-2020,RECOVER(2020), Pulmonary medicine, Medical Microbiology and Infection Prevention, Internal medicine, Intensive care medicine, APH - Quality of Care, and Özçelik, Tayfun
Subjects: Male, COVID19, Immunoglobulin G, DISEASE, MESH: Antibodies, Neutralizing, 0302 clinical medicine, MESH: Interferon alpha-2, 80 and over, Medicine, Asymptomatic Infections, MESH: Immunoglobulin G, Aged, 80 and over, 0303 health sciences, MESH: Middle Aged, COVID Clinicians, MESH: Case-Control Studies, 3. Good health, Settore MED/03, 030220 oncology & carcinogenesis, MESH: Critical Illness, Interferon Type I, Science & Technology - Other Topics, Viral disease, MESH: Pandemics, [SDV.IMM] Life Sciences [q-bio]/Immunology, Critical Illness, Immunology, Pneumonia, Viral, Interferon alpha-2, HGID Lab, 03 medical and health sciences, Betacoronavirus, Genetics, Humans, MESH: SARS-CoV-2, COVID Human Genetic Effort, Aged, Autoantibodies, [SDV.GEN]Life Sciences [q-bio]/Genetics, MESH: Humans, Science & Technology, CYTOKINES, MESH: Adult, Pneumonia, medicine.disease, Antibodies, Neutralizing, COVID-STORM Clinicians, MESH: Pneumonia, Viral, Case-Control Studies, NIAID-USUHS Immune Response to COVID Group, MESH: Female, MESH: Interferon Type I, MESH: Coronavirus Infections, CHRONIC MUCOCUTANEOUS CANDIDIASIS, [SDV.GEN] Life Sciences [q-bio]/Genetics, medicine.disease_cause, Autoimmunity, CoV-Contact Cohort, MESH: Aged, 80 and over, [SDV.BC.IC]Life Sciences [q-bio]/Cellular Biology/Cell Behavior [q-bio.CB], Medicine and Health Sciences, MESH: Autoantibodies, MESH: COVID-19, Online, Viral, Chronic mucocutaneous candidiasis, Imagine COVID Group, Amsterdam UMC Covid-19 Biobank, Neutralizing, Research Articles, MESH: Aged, Multidisciplinary, biology, Middle Aged, Multidisciplinary Sciences, Milieu Intérieur Consortium, MESH: Betacoronavirus, [SDV.IMM]Life Sciences [q-bio]/Immunology, Female, medicine.symptom, Coronavirus Infections, Research Article, Sciences exactes et naturelles, Adult, INTERFERON, General Science & Technology, PROTEINS, French COVID Cohort Study Group, MESH: Asymptomatic Infections, COVID-19, Pandemics, SARS-CoV-2, Asymptomatic, Antibodies, [SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Biochemistry [q-bio.BM], 030304 developmental biology, Phenocopy, business.industry, R-Articles, Autoantibody, GAMMA, MESH: Male, 3121 General medicine, internal medicine and other clinical medicine, ANTIBODIES, biology.protein, 3111 Biomedicine, business
Abstract: HGID Lab Andrés Augusto Arias1,3, Bertrand Boisson1,2, Soraya Boucherit2, Jacinta Bustamante1,2, Marwa Chbihi2, Jie Chen1, Maya Chrabieh2, Tatiana Kochetkov1, Tom Le Voyer2, Dana Liu1, Yelena Nemirovskaya1, Masato Ogishi1, Dominick Papandrea1, Cécile Patissier2, Franck Rapaport1, Manon Roynard2, Natasha Vladikine2, Mark Woollett1, Peng Zhang1 1St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University. 2Laboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children. 3School of Microbiology and Group of Primary Immunodeficiencies, University of Antioquia UdeA, Medellin, Colombia., NIAID-USUHS Immune Response to COVID Group Anuj Kashyap1, Li Ding1, Marita Bosticardo1, Qinlu Wang2, Sebastian Ochoa1, Hui Liu1, Samuel D. Chauvin3, Michael Stack1, Galina Koroleva4, Neha Bansal5, Clifton L. Dalgard6,7, Andrew L. Snow8 1Laboratory of Clinical Immunology and Microbiology, Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA. 2Bioinformatics and Computational Biosciences Branch, NIAID Office of Cyber Infrastructure and Computational Biology, NIAID, NIH, Bethesda, MD, USA. 3Laboratory of Immune System Biology, Division of Intramural Research, NIAID, NIH, Bethesda, MD, USA. 4NIH Center for Human Immunology, NIH, Bethesda, MD, USA. 5Multiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA. 6PRIMER, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. 7Department of Anatomy, Physiology & Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA. 8Department of Pharmacology & Molecular Therapeutics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA., COVID Clinicians Jorge Abad1, Sergio Aguilera-Albesa2, Ozge Metin Akcan3, Ilad Alavi Darazam4, Juan C. Aldave5, Miquel Alfonso Ramos6, Seyed Alireza Nadji7, Gulsum Alkan8, Jerome Allardet-Servent9, Luis M. Allende10, Laia Alsina11, Marie-Alexandra Alyanakian12, Blanca Amador-Borrero13, Zahir Amoura14, Arnau Antolí15, Sevket Arslan16, Sophie Assant17, Terese Auguet18, Axelle Azot19, Fanny Bajolle20, Aurélie Baldolli21, Maite Ballester22, Hagit Baris Feldman23, Benoit Barrou24, Alexandra Beurton25, Agurtzane Bilbao26, Geraldine Blanchard-Rohner27, Ignacio Blanco1, Adeline Blandinières28, Daniel Blazquez-Gamero29, Marketa Bloomfield30, Mireia Bolivar-Prados31, Raphael Borie32, Ahmed A. Bousfiha33, Claire Bouvattier34, Oksana Boyarchuk35, Maria Rita P. Bueno36, Jacinta Bustamante20, Juan José Cáceres Agra37, Semra Camli38, Ruggero Capra39, Maria Carrabba40, Carlos Casasnovas41, Marion Caseris42, Martin Castelle43, Francesco Castelli44, Martín Castillo de Vera45, Mateus V. Castro36, Emilie Catherinot46, Martin Chalumeau47, Bruno Charbit48, Matthew P. Cheng49, Père Clavé31, Bonaventura Clotet50, Anna Codina51, Fatih Colkesen52, Fatma Colkesen53, Roger Colobran 54, Cloé Comarmond55, Angelo G. Corsico56, David Dalmau57, David Ross Darley58, Nicolas Dauby59, Stéphane Dauger60, Loic de Pontual61, Amin Dehban62, Geoffroy Delplancq63, Alexandre Demoule64, Antonio Di Sabatino65, Jean-Luc Diehl66, Stephanie Dobbelaere67, Sophie Durand68, Waleed Eldars69, Mohamed Elgamal70, Marwa H. Elnagdy71, Melike Emiroglu72, Emine Hafize Erdeniz73, Selma Erol Aytekin74, Romain Euvrard75, Recep Evcen76, Giovanna Fabio40, Laurence Faivre77, Antonin Falck42, Muriel Fartoukh78, Morgane Faure79, Miguel Fernandez Arquero80, Carlos Flores81, Bruno Francois82, Victoria Fumadó83, Francesca Fusco84, Blanca Garcia Solis85, Pascale Gaussem86, Juana Gil-Herrera87, Laurent Gilardin88, Monica Girona Alarcon89, Mónica Girona-Alarcón89, Jean-Christophe Goffard90, Funda Gok91, Rafaela González-Montelongo92, Antoine Guerder93, Yahya Gul94, Sukru Nail Guner94, Marta Gut95, Jérôme Hadjadj96, Filomeen Haerynck97, Rabih Halwani98, Lennart Hammarström99, Nevin Hatipoglu100, Elisa Hernandez-Brito101, María Soledad Holanda-Peña102, Juan Pablo Horcajada103, Sami Hraiech104, Linda Humbert105, Alejandro D. Iglesias106, Antonio Íñigo-Campos92, Matthieu Jamme107, María Jesús Arranz108, Iolanda Jordan109, Fikret Kanat110, Hasan Kapakli111, Iskender Kara112, Adem Karbuz113, Kadriye Kart Yasar114, Sevgi Keles115, Yasemin Kendir Demirkol116, Adam Klocperk117, Zbigniew J. Król118, Paul Kuentz119, Yat Wah M. Kwan120, Jean-Christophe Lagier121, Yu-Lung Lau122, Fleur Le Bourgeois60, Yee-Sin Leo123, Rafael Leon Lopez124, Daniel Leung122, Michael Levin125, Michael Levy60, Romain Lévy20, Zhi Li48, Agnes Linglart126, José M. Lorenzo-Salazar92, Céline Louapre127, Catherine Lubetzki127, Charles-Edouard Luyt128, David C. Lye129, Davood Mansouri130, Majid Marjani131, Jesus Marquez Pereira132, Andrea Martin133, David Martínez Pueyo134, Javier Martinez-Picado135, Iciar Marzana136, Alexis Mathian14, Larissa R. B. Matos36, Gail V. Matthews137, Julien Mayaux138, Jean-Louis Mège139, Isabelle Melki140, Jean-François Meritet141, Ozge Metin142, Isabelle Meyts143, Mehdi Mezidi144, Isabelle Migeotte145, Maude Millereux146, Tristan Mirault147, Clotilde Mircher68, Mehdi Mirsaeidi148, Abián Montesdeoca Melián149, Antonio Morales Martinez150, Pierre Morange151, Demence Mordacq105, Guillaume Morelle152, Stéphane Mouly13, Adrián Muñoz-Barrera92, Cyril Nafati153, João Farela Neves154, Lisa F. P. Ng155, Yeray Novoa Medina156, Esmeralda Nuñez Cuadros157, J. Gonzalo Ocejo-Vinyals158, Zerrin Orbak159, Mehdi Oualha20, Tayfun Özçelik160, Qiang Pan Hammarström161, Christophe Parizot138, Tiffany Pascreau162, Estela Paz-Artal163, Sandra Pellegrini48, Rebeca Pérez de Diego85, Aurélien Philippe164, Quentin Philippot78, Laura Planas-Serra165, Dominique Ploin166, Julien Poissy167, Géraldine Poncelet42, Marie Pouletty168, Paul Quentric138, Didier Raoult139, Anne-Sophie Rebillat68, Ismail Reisli169, Pilar Ricart170, Jean-Christophe Richard171, Nadia Rivet28, Jacques G. Rivière172, Gemma Rocamora Blanch15, Carlos Rodrigo1, Carlos Rodriguez-Gallego173, Agustí Rodríguez-Palmero174, Carolina Soledad Romero175, Anya Rothenbuhler176, Flore Rozenberg177, Maria Yolanda Ruiz del Prado178, Joan Sabater Riera15, Oliver Sanchez179, Silvia Sánchez-Ramón180, Agatha Schluter165, Matthieu Schmidt181, Cyril E. Schweitzer182, Francesco Scolari183, Anna Sediva184, Luis M. Seijo185, Damien Sene13, Sevtap Senoglu114, Mikko Seppänen186, Alex Serra Ilovich187, Mohammad Shahrooei62, David Smadja188, Ali Sobh189, Xavier Solanich Moreno15, Jordi Solé-Violán190, Catherine Soler191, Pere Soler-Palacín133, Yuri Stepanovskiy192, Annabelle Stoclin193, Fabio Taccone145, Yacine Tandjaoui-Lambiotte194, Jean-Luc Taupin195, Simon J. Tavernier196, Benjamin Terrier197, Caroline Thumerelle105, Gabriele Tomasoni198, Julie Toubiana47, Josep Trenado Alvarez199, Sophie Trouillet-Assant200, Jesús Troya201, Alessandra Tucci202, Matilde Valeria Ursini‬84, Yurdagul Uzunhan203, Pierre Vabres204, Juan Valencia-Ramos205, Ana Maria Van Den Rym85, Isabelle Vandernoot206, Hulya Vatansev207, Valentina Vélez-Santamaria41, Sébastien Viel166, Cédric Vilain208, Marie E. Vilaire68, Audrey Vincent34, Guillaume Voiriot209, Fanny Vuotto105, Alper Yosunkaya91, Barnaby E. Young123, Fatih Yucel210, Faiez Zannad211, Mayana Zatz36, Alexandre Belot212* 1University Hospital and Research Institute “Germans Trias i Pujol”, Badalona, Spain. 2Navarra Health Service Hospital, Pamplona, Spain. 3Division of Pediatric Infectious Diseases, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 4Department of Infectious Diseases, Loghman Hakim Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 5Hospital Nacional Edgardo Rebagliati Martins, Lima, Peru. 6Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat Spain. 7Virology Research Center, National institutes of Tuberculosis and Lung diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 8Division of Pediatric Infectious Diseases, Faculty of Medicine, Selcuk University, Konya, Turkey. 9Intensive care unit, Hôpital Européen, Marseille, France. 10Immunology Department, University Hospital 12 de Octubre. Research Institute imas12. Complutense University, Madrid, Spain. 11Hospital Sant Joan de Déu, Barcelona, Spain. 12Department of Biological Immunology, Necker Hospital for Sick Children, APHP and INEM, Paris, France. 13Internal medicine department, Hôpital Lariboisière, APHP; Université de Paris, Paris, France. 14Internal medicine department, Pitié-Salpétrière Hospital, Paris, France. 15Hospital Universitari de Bellvitge, Barcelona, Spain. 16Division of Clinical Immunology and Allergy, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 17Joint Research Unit, Hospices Civils de Lyon-bio Mérieux, Hospices Civils de Lyon, Lyon Sud Hospital, Lyon, France. 18Hospital U. de Tarragona Joan XXIII. Universitat Rovira i Virgili (URV). IISPV, Tarragona, Spain. 19Private practice, Paris, France. 20Necker Hospital for Sick Children, AP-HP, Paris, France. 21Department of Infectious Diseases, CHU de Caen, Caen, France. 22Consorcio Hospital General Universitario, Valencia, Spain. 23The Genetics Institute, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. 24Dept Urology, Nephrology, Transplantation, APHP-SU, Sorbonne Université, INSERM U 1082, Paris, France. 25Service de Médecine Intensive–Réanimation et Pneumologie, APHP Hôpital Pitié–Salpêtrière, Paris, France. 26Cruces University Hospital, Bizkaia, Spain. 27Paediatric Immunology and Vaccinology Unit, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland. 28Hematology, Georges Pompidou Hospital, APHP, Paris, France. 29Pediatric Infectious Diseases Unit. Instituto de Investigación 12 de Octubre (imas12). Hospital Universitario 12 de Octubre, Madrid, Spain. 30Department of Immunology, Motol University Hospital, 2nd Faculty of Medicine, Charles University, Department of Pediatrics, Thomayer’s Hospital, 1st Faculty of Medicine, Charles University, Prague, Czech Republic. 31Centro de Investigación Biomédica en Red de Enfermedades Hepàticas y Digestivas (Ciberehd). Hospital de Mataró, Consorci Sanitari del Maresme, Mataró, Spain. 32Service de Pneumologie, Hopital Bichat, APHP, Paris, France. 33Clinical immunology unit, pediatric infectious disease departement, Faculty of Medicine and Pharmacy, Averroes University Hospital. LICIA Laboratoire d'immunologie clinique, d'inflammation et d'allergie, Hassann Ii University, Casablanca, Morocco. 34Endocrinology unit, APHP Hôpitaux Universitaires Paris-Sud, Le Kremlin-Bicêtre, France. 35Department of Children's Diseases and Pediatric Surgery, I.Horbachevsky Ternopil National Medical University, Ternopil, Ukraine. 36Human Genome and stem-cell research center- University of São Paulo, São Paulo, Brazil. 37Hospital Insular, Las Palmas de Gran Canaria, Spain. 38Division of Critical Care Medicine, Department of Anesthesiology and Reanimation, Konya State Hospital, Konya, Turkey. 39MS Center, Spedali Civili, Brescia, Italy. 40Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy. 41Bellvitge University Hospital, L'Hospitalet de Llobregat, Barcelona, Spain. 42Hopital Robert Debré, Paris, France. 43Pediatric Immuno-hematology Unit, Necker Enfants Malades Hospital, AP-HP, Paris, France. 44Department of Infectious and Tropical Diseases, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy. 45Doctoral Health Care Center, Canarian Health System, Las Palmas de Gran Canaria, Spain. 46Hôpital Foch, Suresnes, France. 47Necker Hospital for Sick Children, Paris University, AP-HP, Paris, France. 48Pasteur Institute, Paris, France. 49McGill University Health Centre, Montreal, Canada. 50University Hospital and Research Institute “Germans Trias i Pujol”, IrsiCaixa AIDS Research Institute, UVic-UCC, Badalona, Spain. 51Clinical Biochemistry, Pathology, Paediatric Neurology and Molecular Medicine Departments and Biobank, Institut de Recerca Sant Joan de Déu and CIBERER-ISCIII, Esplugues, Spain. 52Division of Clinical Immunology and Allergy, Department of Internal Medicine, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 53Department of Infectious Diseases and Clinical Microbiology, Konya Training and Research Hospital, Konya, Turkey. 54Hospital Universitari Vall d’Hebron, Barcelona, Spain. 55Pitié-Salpêtrière Hospital, Paris, France. 56Respiratory Diseases Division, IRCCS Policlinico San Matteo Foundation and University of Pavia, Pavia, Italy. 57Fundació Docència i Recerca Mútua Terrassa, Barcelona, Spain. 58UNSW Medicine, St Vincent's Clinical School; Department of Thoracic Medicine, St Vincent's Hospital Darlinghurst, Sidney, Australia. 59CHU Saint-Pierre, Université Libre de Bruxelles (ULB), Brussels, Belgium. 60Pediatric Intensive Care Unit, Robert-Debré University Hospital, APHP, Paris, France. 61Sorbonne Paris Nord, Hôpital Jean Verdier, APHP, Bondy, France. 62Specialized Immunology Laboratory of Dr. Shahrooei, Sina Medical Complex, Ahvaz, Iran. 63Centre de génétique humaine, CHU Besançon, Besançon, France. 64Sorbonne Université médecine and APHP Sorbonne université site Pitié-Salpêtrière, Paris, France. 65Department of Internal Medicine, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy. 66Intensive Care unit, Georges Pompidou Hospital, APHP, Paris, France. 67Department of Pneumology, AZ Delta, Roeselare, Belgium. 68Institut Jérôme Lejeune, Paris, France. 69Department of Microbiology and Immunology, Faculty of Medicine, Mansoura University, Mansoura, Egypt. 70Department of Chest, Faculty of Medicine, Mansoura University, Mansoura, Egypt. 71Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Mansoura University, Mansoura, Egypt. 72Faculty of Medicine, Division of Pediatric Infectious Diseases, Selcuk University, Konya, Turkey. 73Division of Pediatric Infectious Diseases, Ondokuz Mayıs University, Samsun, Turkey. 74Necmettin Erbakan University, Meram Medical Faculty, Division of Pediatric Allergy and Immunology, Konya, Turkey. 75Centre Hospitalier Fleyriat, Bourg-en-Bresse, France. 76Division of Clinical Immunology and Allergy, Department of Internal Medicine, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 77Centre de Génétique, CHU Dijon, Dijon, France. 78APHP Tenon Hospital, Paris, France. 79Sorbonne Universités, UPMC University of Paris, Paris, France. 80Department of Clinical Immunology, Hospital Clínico San Carlos, Madrid, Spain. 81Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; Research Unit, Hospital Universitario N.S. de Candelaria, Santa Cruz de Tenerife, Spain; Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna, San Cristóbal de La Laguna, Spain. 82CHU Limoges and Inserm CIC 1435 & UMR 1092, Limoges, France. 83Infectious Diseases Unit, Department of Pediatrics, Hospital Sant Joan de Déu, Barcelona, Spain; Institut de Recerca Sant Joan de Déu, Spain; Universitat de Barcelona (UB), Barcelona, Spain. 84Institute of Genetics and Biophysics ‘Adriano Buzzati-Traverso’, IGB-CNR, Naples, Italy. 85Laboratory of Immunogenetics of Human Diseases, IdiPAZ Institute for Health Research, La Paz Hospital, Madrid, Spain. 86Hematology, APHP, Hopital Européen Georges Pompidou and Inserm UMR-S1140, Paris, France. 87Hospital General Universitario and Instituto de Investigación Sanitaria "Gregorio Marañón", Madrid, Spain. 88Bégin military Hospital, Bégin, France. 89Pediatric Intensive Care Unit, Hospital Sant Joan de Déu, Barcelona, Spain. 90Department of Internal Medicine, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium. 91Division of Critical Care Medicine, Department of Anesthesiology and Reanimation, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 92Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), Santa Cruz de Tenerife, Spain. 93Assistance Publique Hôpitaux de Paris, Paris, France. 94Division of Allergy and Immunology, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 95CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST); Universitat Pompeu Fabra (UPF), Barcelona, Spain. 96Department of Internal Medicine, National Reference Center for Rare Systemic Autoimmune Diseases, AP-HP, APHP-CUP, Hôpital Cochin, Paris, France. 97Ghent University Hospital, Ghent, Belgium. 98Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, UAE. 99Department of Biosciences and Nutrition, SE14183, Huddinge, Karolinska Institutet, Stockholm, Sweden. 100Pediatric Infectious Diseases Unit, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey. 101Department of Immunology, Hospital Universitario de Gran Canaria Dr. Negrín, Canarian Health System, Las Palmas de Gran Canaria, Spain. 102IntensivenCare Unit. Marqués de Valdecilla Hospital, Santander, Spain. 103Hospital del Mar, Parc de Salut Mar, Barcelona, Spain. 104Intensive care unit, APHM, Marseille, France. 105CHU Lille, Lille, France. 106Department of Pediatrics, Columbia University, New York, NY, USA. 107Centre hospitalier intercommunal Poissy Saint Germain en Laye, Poissy, France. 108Division of Respiratory Diseases, Fundació Docència i Recerca Mútua Terrassa, Barcelona, Spain. 109Hospital Sant Joan de Déu, Kids Corona Platfform, Barcelona, Spain. 110Selcuk University, Faculty of Medicine, Chest Diseases Department, Konya, Turkey. 111Division of Allergy and Immunology, Balikesir Ataturk City Hospital, Balikesir, Turkey. 112Division of Critical Care Medicine, Selcuk University, Faculty of Medicine, Konya, Turkey. 113Division of Pediatric Infectious Diseases, Prof. Dr. Cemil Tascıoglu City Hospital, Istanbul, Turkey. 114Departments of Infectious Diseases and Clinical Microbiology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey. 115Meram Medical Faculty, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 116Health Sciences University, Umraniye Education and Research Hospital, Istanbul, Turkey. 117Department of Immunology, 2nd Faculty of Medicine, Charles University and University Hospital in Motol, Prague, Czech Republic. 118Central Clinical Hospital of Ministry of the Interior and Administration in Warsaw, Warsaw, Poland. 119Oncobiologie Génétique Bioinformatique, PC Bio, CHU Besançon, Besançon, France. 120Paediatric Infectious Disease Unit, Hospital Authority Infectious Disease Center, Princess Margaret Hospital, Hong Kong (Special Administrative Region), China. 121Aix Marseille Univ, IRD, MEPHI, IHU Méditerranée Infection, Marseille, France. 122Department of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China. 123National Centre for Infectious Diseases, Singapore. 124Hospital Universitario Reina Sofía, Cordoba, Spain. 125Imperial College, London, England. 126Endocrinology and diabetes for children, AP-HP, Bicêtre Paris-Saclay hospital, Le Kremlin-Bicêtre, France. 127Neurology unit, APHP Pitié-Salpêtrière Hospital, Paris University, Paris, France. 128Intensive care unit, APHP Pitié-Salpêtrière Hospital, Paris University, Paris, France. 129National Centre for Infectious Diseases; Tan Tock Seng Hospital; Yong Loo Lin School of Medicine; Lee Kong Chian School of Medicine, Singapore. 130Department of Clinical Immunology and Infectious Diseases, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran. 131Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran. 132Hospital Sant Joan de Déu and University of Barcelona, Barcelona, Spain. 133Pediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Universitari Vall d’Hebron, Vall d'Hebron Research Institute, Vall d’Hebron Barcelona Hospital Campus. Universitat Autònoma de Barcelona (UAB), Barcelona, Spain. 134Hospital Universitari Mutua de Terrassa, Universitat de Barcelona, Barcelona, Spain. 135IrsiCaixa AIDS Research Institute, ICREA, UVic-UCC, Research Institute “Germans Trias i Pujol”, Badalona, Spain. 136Department of Laboratory, Cruces University Hospital, Barakaldo, Bizkaia, Spain. 137University of New South Wales, Australia. 138APHP Pitié-Salpêtrière Hospital, Paris, France. 139Aix-Marseille University, APHM, Marseille, France. 140Robert Debré Hospital, Paris, France. 141APHP Cohin Hospital, Paris, France. 142Necmettin Erbakan University Meram Faculty of Medicine Department of Pediatric Infectious Diseases, Konya, Turkey. 143University Hospitals Leuven, Leuven, Belgium. 144Hospices Civils de Lyon, Hôpital de la Croix-Rousse, Lyon, France. 145Hôpital Erasme, Brussels, Belgium. 146CH Gonesse, Gonesse, France. 147Vascular Medicine, Georges Pompidou Hospital, APHP, Paris, France. 148Division of Pulmonary and Critical Care, University of Miami, Miami, USA. 149Guanarteme Health Care Center, Canarian Health System, Las Palmas de Gran Canaria, Spain. 150Regional University Hospital of Malaga, Malaga, Spain. 151Aix-Marseille Université, Marseille, France. 152Department of General Paediatrics, Hôpital Bicêtre, AP-HP, University of Paris Saclay, Le Kremlin-Bicêtre, France. 153CHU de La Timone, Marseille, France. 154Centro Hospitalar Universitário de Lisboa Central, Lisbon, Portugal. 155Infectious Diseases Horizontal Technlogy Centre, A*STAR; Singapore Immunology Network, A*STAR, Singapore. 156Department of Pediatrics, Complejo Hospitalario Universitario Insular-Materno Infantil, Canarian Health System, Las Palmas de Gran Canaria, Spain. 157Regional Universitary Hospital of Malaga, Málaga, Spain. 158Hospital Universitario Marqués de Valdecilla, Santander, Spain. 159Ataturk University Medical Faculty, Erzurum, Turkey. 160Bilkent University, Department of Molecular Biology and Genetics, Ankara, Turkey. 161Department of Laboratory Medicine, Karolinska Institutet, SE14186, Stockholm, Sweden. 162L'Hôpital Foch, Suresnes, France. 163Department of Immunology, Hospital Universitario 12 de Octubre, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Madrid, Spain. 164APHP Hôpitaux Universitaires Paris-Sud, Le Kremlin-Bicêtre, France. 165Neurometabolic Diseases Laboratory, IDIBELL-Hospital Duran i Reynals, Barcelona; CIBERER U759, ISCiii Madrid, Spain. 166Hospices Civils de Lyon, Lyon, France. 167Université de Lille, Inserm U1285, CHU Lille, Paris, France. 168Departement of General Pediatrics, University Hospital Robert Debré, APHP, Paris, France. 169Necmettin Erbakan University, Konya, Turkey. 170Germans Trias i Pujol Hospital, Badalona, Spain. 171Medical intensive care unit. Hopital de la Croix-Rousse. Hospices Civils de Lyon, Lyon, France. 172Pediatric Infectious Diseases and Immunodeficiencies Unit, Hospital Universitari Vall d’Hebron, Vall d'Hebron Research Institute, Vall d’Hebron Barcelona Hospital Campus., Barcelona, Spain. 173Department of Immunology, Hospital Universitario de Gran Canaria Dr. Negrín, Canarian Health System, Las Palmas de Gran Canaria, Spain, EU. University Fernando Pessoa Canarias, Las Palmas de Gran Canaria, Spain. 174Neurometabolic Diseases Laboratory, IDIBELL-Hospital Duran i Reynals, Barcelona, Spain. 175Consorcio Hospital General Universitario, Valencia, Spain. 176APHP Hôpitaux Universitaires Paris-Sud, Paris, France. 177Virology unit, Université de Paris, Cohin Hospital, APHP, Paris, France. 178Hospital San Pedro, Logroño, Spain. 179Respiratory medicine, Georges Pompidou Hospital, APHP, Paris, France. 180Dept. Immunology, Hospital Clínico San Carlos, Madrid, Spain. 181Service de Médecine Intensive Réanimation, Institut de Cardiologie, Hopital Pitié-Salpêtrière, Paris, France. 182CHRU de Nancy, Hôpital d'Enfants, Vandoeuvre, France. 183Chair of Nephrology, University of Brescia, Brescia, Italy. 184Department of Immunology, 2nd Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic. 185Clínica Universidad de Navarra, Madrid, Spain. 186HUS Helsinki University Hospital, Children and Adolescents, Rare Disease Center, and Inflammation Center, Adult Immunodeficiency Unit, Majakka, Helsinki, Finland. 187Fundació Docència i Recerca Mútua Terrassa, Terrassa, Spain. 188Hopital Européen Georges Pompidou, Paris, France. 189Department of Pediatrics, Faculty of Medicine, Mansoura University, Mansoura, Egypt. 190Critical Care Unit, Hospital Universitario de Gran Canaria Dr. Negrín, Canarian Health System, Las Palmas de Gran Canaria, Spain. 191CHU de Saint Etienne, Saint-Priest-en-Jarez, France. 192Shupyk National Medical Academy for Postgraduate Education, Kiev, Ukraine. 193Gustave Roussy Cancer Campus, Villejuif, France. 194Intensive Care Unit, Avicenne Hospital, APHP, Bobigny, France. 195Laboratory of Immunology and Histocompatibility, Saint-Louis Hospital, Paris University, Paris, France. 196Department of Internal Diseases and Pediatrics, Primary Immune Deficiency Research Lab, Centre for Primary Immunodeficiency Ghent, Jeffrey Modell Diagnosis and Research Centre, Ghent University Hospital, Ghent, Belgium. 197Department of Internal Medicine, Université de Paris, INSERM, U970, PARCC, F-75015, Paris, France. 198First Division of Anesthesiology and Critical Care Medicine, University of Brescia, ASST Spedali Civili di Brescia, Brescia, Italy. 199Intensive Care Department, Hospital Universitari MutuaTerrassa, Universitat Barcelona, Terrassa, Spain. 200Hospices Civils de Lyon, Lyon Sud Hospital, Lyon, France. 201Infanta Leonor University Hospital, Madrid, Spain. 202Hematology Department, ASST Spedali Civili di Brescia, Brescia, Italy. 203Pneumologie, Hôpital Avicenne, APHP, INSERM U1272, Université Sorbonne Paris Nord, Bobigny, France. 204Dermatology unit, Laboratoire GAD, INSERM UMR1231 LNC, université de Bourgogne, Dijon, France. 205University Hospital of Burgos, Burgos, Spain. 206Center of Human Genetics, Hôpital Erasme, Université Libre de Bruxelles, Brussels, Belgium. 207Department of Chest Diseases, Necmettin Erbakan University, Meram Medical Faculty, Konya, Turkey. 208CHU de Caen, Caen, France. 209Sorbonne Université, Service de Médecine Intensive Réanimation, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris, Paris, France. 210General Intensive Care Unit, Konya Training and Research Hospital, Konya, Turkey. 211CHU de Nancy, Nancy, France. 212University of Lyon, CIRI, INSERM U1111, National referee centre RAISE, Pediatric Rheumatology, HFME, Hospices Civils de Lyon, Lyon, France. *Leader of the COVID-clinicians group., COVID-STORM Clinicians Giuseppe Foti1, Giacomo Bellani1, Giuseppe Citerio1, Ernesto Contro1, Alberto Pesci2, Maria Grazia Valsecchi3, Marina Cazzaniga4 1Department of Emergency, Anesthesia and Intensive Care, School of Medicine and Surgery, University of Milano-Bicocca, San Gerardo Hospital, Monza IT. 2Department of Pneumology, School of Medicine and Surgery, University of Milano-Bicocca, San Gerardo Hospital, Monza IT. 3Center of Bioinformatics and Biostatistics, School of Medicine and Surgery, University of Milano-Bicocca, San Gerardo Hospital, Monza IT. 4Phase I Research Center, School of Medicine and Surgery, University of Milano-Bicocca, San Gerardo Hospital, Monza IT., Imagine COVID Group Christine Bole-Feysot1, Stanislas Lyonnet1*, Cécile Masson1, Patrick Nitschke1, Aurore Pouliet1, Yoann Schmitt1, Frederic Tores1, Mohammed Zarhrate1 1Imagine Institute, Université de Paris, INSERM UMR 1163, Paris, France. *Leader of the Imagine COVID group., French COVID Cohort Study Group Laurent Abel1, Claire Andrejak2, François Angoulvant3, Delphine Bachelet4, Romain Basmaci5, Sylvie Behillil6, Marine Beluze7, Dehbia Benkerrou8, Krishna Bhavsar4, François Bompart9, Lila Bouadma4, Maude Bouscambert10, Mireille Caralp11, Minerva Cervantes-Gonzalez12, Anissa Chair4, Alexandra Coelho13, Camille Couffignal4, Sandrine Couffin-Cardiergues14, Eric D’ortenzio12, Charlene Da Silveira4, Marie-Pierre Debray4, Dominique Deplanque15, Diane Descamps16, Mathilde Desvallées17, Alpha Diallo18, Alphonsine Diouf13, Céline Dorival8, François Dubos19, Xavier Duval4, Philippine Eloy4, Vincent V. E. Enouf20, Hélène Esperou21, Marina Esposito-Farese4, Manuel Etienne22, Nadia Ettalhaoui4, Nathalie Gault4, Alexandre Gaymard10, Jade Ghosn4, Tristan Gigante23, Isabelle Gorenne4, Jérémie Guedj24, Alexandre Hoctin13, Isabelle Hoffmann4, Salma Jaafoura21, Ouifiya Kafif4, Florentia Kaguelidou25, Sabina Kali4, Antoine Khalil4, Coralie Khan17, Cédric Laouénan4, Samira Laribi4, Minh Le4, Quentin Le Hingrat4, Soizic Le Mestre18, Hervé Le Nagard24, François-Xavier Lescure4, Yves Lévy26, Claire Levy-Marchal27, Bruno Lina10, Guillaume Lingas24, Jean Christophe Lucet4, Denis Malvy28, Marina Mambert13, France Mentré4, Noémie Mercier18, Amina Meziane8, Hugo Mouquet20, Jimmy Mullaert4, Nadège Neant24, Marion Noret29, Justine Pages30, Aurélie Papadopoulos21, Christelle Paul18, Nathan Peiffer-Smadja4, Ventzislava Petrov-Sanchez18, Gilles Peytavin4, Olivier Picone31, Oriane Puéchal12, Manuel Rosa-Calatrava10, Bénédicte Rossignol23, Patrick Rossignol32, Carine Roy4, Marion Schneider4, Caroline Semaille12, Nassima Si Mohammed4, Lysa Tagherset4, Coralie Tardivon4, Marie-Capucine Tellier4, François Téoulé8, Olivier Terrier10, Jean-François Timsit4, Théo Treoux4, Christelle Tual33, Sarah Tubiana4, Sylvie van der Werf34, Noémie Vanel35, Aurélie Veislinger33, Benoit Visseaux16, Aurélie Wiedemann26, Yazdan Yazdanpanah36 1Inserm UMR 1163, Paris, France. 2CHU Amiens, France. 3Hôpital Necker, Paris, France. 4Hôpital Bichat, Paris, France. 5Hôpital Louis Mourrier, Colombes, France. 6Institut Pasteur, Paris, France. 7F-CRIN Partners Platform, AP-HP, Université de Paris, Paris, France. 8Inserm UMR 1136, Paris, France. 9Drugs for Neglected Diseases initiative, Geneva, Switzerland. 10Inserm UMR 1111, Lyon, France. 11Inserm Transfert, Paris, France. 12REACTing, Paris, France. 13Inserm UMR 1018, Paris, France. 14Inserm, Pôle Recherche Clinique, France. 15CIC 1403 Inserm-CHU Lille, Paris, France. 16Université de Paris, IAME, INSERM UMR 1137, AP-HP, University hospital Bichat Claude Bernard, Virology, F-75018 Paris, France. 17Inserm UMR 1219, Bordeaux, France. 18ANRS, Paris, France. 19CHU Lille, France. 20Pasteur Institute, Paris, France. 21Inserm sponsor, Paris, France. 22Rouen - SMIT, France. 23FCRIN INI-CRCT, Nancy, France. 24Inserm UMR 1137, Paris, France. 25Centre d'Investigation Clinique, Inserm CIC1426, Hôpital Robert Debré, Paris, France. 26Inserm UMR 955, Créteil, France; Vaccine Research Instiute (VRI), Paris, France. 27F-CRIN INI-CRCT, Paris, France. 28Bordeaux - SMIT, France. 29RENARCI, Annecy, France. 30Hôpital Robert Debré, Paris, France. 31Colombes - Louis Mourier - Gynécologie, France. 32University of Lorraine, Plurithematic Clinical Investigation Centre Inserm CIC-P; 1433, Inserm U1116, CHRU Nancy Hopitaux de Brabois, F-CRIN INI-CRCT; (Cardiovascular and Renal Clinical Trialists), Nancy, France. 33Inserm CIC-1414, Rennes, France. 34Institut Pasteur, UMR 3569 CNRS, Université de Paris, Paris, France. 35hôpital la timone, Marseille, France. 36Paris - Bichat - SMIT, France., The Milieu Intérieur Consortium Laurent Abel1, Andres Alcover2, Hugues Aschard2, Kalla Astrom3, Philippe Bousso2, Pierre Bruhns2, Ana Cumano2, Caroline Demangel2, Ludovic Deriano2, James Di Santo2, Françoise Dromer2, Gérard Eberl2, Jost Enninga2, Jacques Fellay4, Ivo Gomperts-Boneca2, Milena Hasan2, Serge Hercberg5, Olivier Lantz6, Hugo Mouquet2, Etienne Patin2, Sandra Pellegrini2, Stanislas Pol7, Antonio Rausell8, Lars Rogge2, Anavaj Sakuntabhai2, Olivier Schwartz2, Benno Schwikowski2, Spencer Shorte2, Frédéric Tangy2, Antoine Toubert9, Mathilde Touvier10, Marie-Noëlle Ungeheuer2, Matthew L. Albert11*, Darragh Duffy2*, Lluis Quintana-Murci2* 1INSERM U1163, University of Paris, Imagine Institute, Paris, France. 2Pasteur Institute, Paris, France. 3Lund University, Lund, Sweden. 4EPFL, Lausanne, Switzerland. 5Université Paris 13, Paris, France. 6Curie Institute, Paris, France. 7Cochin Hospital, Paris, France. 8INSERM UMR 1163 – Institut Imagine. 9Hôpital Saint-Louis, Paris, France. 10Université Paris 13, Paris, France. 11In Sitro. *Co-coordinators of the Milieu Intérieur Consortium. Additional information can be found at: https://www.pasteur.fr/labex/milieu-interieur., CoV-Contact Cohort Loubna Alavoine1, Karine K. A. Amat2, Sylvie Behillil3, Julia Bielicki4, Patricia Bruijning5, Charles Burdet6, Eric Caumes7, Charlotte Charpentier8, Bruno Coignard9, Yolande Costa1, Sandrine Couffin-Cardièrgues10, Florence Damond8, Aline Dechanet11, Christelle Delmas10, Diane Descamps8, Xavier Duval1, Jean-Luc Ecobichon1, Vincent Enouf3, Hélène Espérou10, Wahiba Frezouls1, Nadhira Houhou11, Emila Ilic-Habensus1, Ouifiya Kafif11, John Kikoine11, Quentin Le Hingrat8, David Lebeaux12, Anne Leclercq1, Jonathan Lehacaut1, Sophie Letrou1, Bruno Lina13, Jean-Christophe Lucet14, Denis Malvy15, Pauline Manchon11, Milica Mandic1, Mohamed Meghadecha16, Justina Motiejunaite17, Mariama Nouroudine1, Valentine Piquard11, Andreea Postolache11, Caroline Quintin1, Jade Rexach1, Layidé Roufai10, Zaven Terzian11, Michael Thy18, Sarah Tubiana1, Sylvie van der Werf3, Valérie Vignali1, Benoit Visseaux8, Yazdan Yazdanpanah14 1Centre d'Investigation Clinique, Inserm CIC 1425, Hôpital Bichat Claude Bernard, APHP, Paris, France. 2IMEA Fondation Léon M'Ba, Paris, France. 3Institut Pasteur, UMR 3569 CNRS, Université de Paris, Paris, France. 4University of Basel Children’s Hospital. 5Julius Center for Health Sciences and Primary Care, Utrecht. 6Université de Paris, IAME, Inserm UMR 1137, F-75018, Paris, France, Hôpital Bichat Claude Bernard, APHP, Paris, France. 7Hôpital Pitiè Salpétriere, APHP, Paris. 8Université de Paris, IAME, INSERM UMR 1137, AP-HP, University hospital Bichat Claude Bernard, Virology, F-75018 Paris, France. 9Santé Publique France, Saint Maurice, France. 10Pole Recherche Clinique, Inserm, Paris France. 11Hôpital Bichat Claude Bernard, APHP, Paris, France. 12APHP, Paris, France. 13Virpath Laboratory, International Center of Research in Infectiology, Lyon University, INSERM U1111, CNRS UMR 5308, ENS, UCBL, Lyon, France . 14IAME Inserm UMR 1138, Hôpital Bichat Claude Bernard, APHP, Paris, France. 15Service des Maladies Infectieuses et Tropicales; Groupe Pellegrin-Place Amélie-Raba-Léon, BORDEAUX. 16Hôpital Hotel Dieu, APHP, Paris, France. 17ervice des explorations fonctionnelles, Hôpital Bichat- Claude Bernard, APHP, Paris, France. 18Center for Clinical Investigation, Assistance Publique-Hôpitaux de Paris, Bichat-Claude Bernard University Hospital., Amsterdam UMC Covid-19 Biobank Michiel van Agtmael1, Anne Geke Algera2, Frank van Baarle2, Diane Bax3, Martijn Beudel4, Harm Jan Bogaard5, Marije Bomers1, Lieuwe Bos2, Michela Botta2, Justin de Brabander6, Godelieve Bree6, Matthijs C. Brouwer4, Sanne de Bruin2, Marianna Bugiani7, Esther Bulle2, O. Chouchane1, Alex Cloherty3, Paul Elbers2, Lucas Fleuren2, Suzanne Geerlings1, Bart Geerts8, Theo Geijtenbeek9, Armand Girbes2, Bram Goorhuis1, Martin P. Grobusch1, Florianne Hafkamp9, Laura Hagens2, Jorg Hamann10, Vanessa Harris1, Robert Hemke11, Sabine M. Hermans1, Leo Heunks2, Markus Hollmann8, Janneke Horn2, Joppe W. Hovius1, Menno de Jong12, Rutger Koning4, Mourik van Mourik2, Jeaninne Nellen1, Frederique Paulus2, Edgar Peters1, Tom van der Poll1, Bennedikt Preckel8, Jan M. Prins1, Jorinde Raasveld2, Tom Reijnders1, Michiel Schinkel1, Marcus Schultz2, Alex Schuurman13, Kim Sigaloff1, Marry Smit2, Cornelis S. Stijnis1, Willemke Stilma2, Charlotte Teunissen14, Patrick Thoral2, Anissa Tsonas2, Marc van der Valk1, Denise Veelo8, Alexander P. J. Vlaar15, Heder de Vries2, Michèle van Vugt1, W. Joost Wiersinga1, Dorien Wouters16, A. H. (Koos) Zwinderman17, Diederik van de Beek18* 1Department of Infectious Diseases, Amsterdam UMC, Netherlands. 2Department of Intensive Care, Amsterdam UMC, Netherlands. 3Experimental Immunology, Amsterdam UMC, Netherlands. 4Department of Neurology, Amsterdam UMC, Netherlands. 5Department of Pulmonology, Amsterdam UMC, Netherlands. 6Department of Infectious Diseases, Amsterdam UMC, Netherlands. 7Department of Pathology, Amsterdam UMC, Netherlands. 8Department of Anesthesiology, Amsterdam UMC, Netherlands. 9Department of Experimental Immunology, Amsterdam UMC, Netherlands. 10Amsterdam UMC, THE NETHERLANDS Biobank Core Facility, Amsterdam UMC, Netherlands. 11Department of Radiology, Amsterdam UMC, Netherlands. 12Department of Medical Microbiology, Amsterdam UMC, Netherlands. 13Department of Internal Medicine, Amsterdam UMC, Netherlands. 14Neurochemical Laboratory, Amsterdam UMC, Netherlands. 15Deparment of Intensive Care, Amsterdam UMC, Netherlands. 16Department of Clinical Chemistry, Amsterdam UMC, Netherlands. 17Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, Netherlands. 18Department of Neurology, Amsterdam UMC, Netherlands. *Leader of the AMC consortium., COVID Human Genetic Effort Laurent Abel1, Alessandro Aiuti2, Saleh Al Muhsen3, Fahd Al-Mulla4, Mark S. Anderson5, Andrés Augusto Arias6, Hagit Baris Feldman7, Dusan Bogunovic8, Alexandre Bolze9, Anastasiia Bondarenko10, Ahmed A. Bousfiha11, Petter Brodin12, Yenan Bryceson12, Carlos D. Bustamante13, Manish Butte14, Giorgio Casari15, Samya Chakravorty16, John Christodoulou17, Elizabeth Cirulli9, Antonio Condino Neto18, Megan A. Cooper19, Clifton L. Dalgard20, Joseph L. DeRisi21, Murkesh Desai22, Beth A. Drolet23, Sara Espinosa24, Jacques Fellay25, Carlos Flores26, Jose Luis Franco27, Peter K. Gregersen28, Filomeen Haerynck29, David Hagin30, Rabih Halwani31, Jim Heath32, Sarah E. Henrickson33, Elena Hsieh34, Kohsuke Imai35, Yuval Itan8, Timokratis Karamitros36, Kai Kisand37, Cheng-Lung Ku38, Yu-Lung Lau39, Yun Ling40, Carrie L. Lucas41, Tom Maniatis42, Davoud Mansouri43, Laszlo Marodi44, Isabelle Meyts45, Joshua Milner46, Kristina Mironska47, Trine Mogensen48, Tomohiro Morio49, Lisa P. Ng50, Luigi D. Notarangelo51, Giuseppe Novelli52, Antonio Novelli53, Cliona O'Farrelly54, Satoshi Okada55, Tayfun Ozcelik56, Rebeca Perez de Diego57, Anna M. Planas58, Carolina Prando59, Aurora Pujol60, Lluis Quintana-Murci61, Laurent Renia62, Alessandra Renieri63, Carlos Rodríguez-Gallego64, Vanessa Sancho-Shimizu65, Vijay Sankaran66, Kelly Schiabor Barrett9, Mohammed Shahrooei67, Andrew Snow68, Pere Soler-Palacín69, András N. Spaan70, Stuart Tangye71, Stuart Turvey72, Furkan Uddin73, Mohammed J. Uddin74, Diederik van de Beek75, Sara E. Vazquez76, Donald C. Vinh77, Horst von Bernuth78, Nicole Washington9, Pawel Zawadzki79, Helen C. Su51*, Jean-Laurent Casanova80* 1INSERM U1163, University of Paris, Imagine Institute, Paris, France. 2San Raffaele Telethon Institute for Gene Therapy, IRCCS Ospedale San Raffaele, Milan, Italy. 3King Saud University, Riyadh, Saudi Arabia. 4Kuwait University, Kuwait City, Kuwait. 5University of California, San Francisco, San Francisco, CA, USA. 6Universidad de Antioquia, Group of Primary Immunodeficiencies, Antioquia, Colombia. 7The Genetics Institute, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. 8Icahn School of Medicine at Mount Sinai, New York, NY, USA. 9Helix, San Mateo, CA, USA. 10Shupyk National Medical Academy for Postgraduate Education, Kiev, Ukraine. 11Clinical immunology unit, pediatric infectious disease departement, Faculty of Medicine and Pharmacy, Averroes University Hospital. LICIA Laboratoire d'immunologie clinique, d'inflammation et d'allergie, Hassann Ii University., Casablanca, Morocco. 12Karolinska Institute, Stockholm, Sweden. 13Stanford University, Stanford, CA, USA. 14University of California, Los Angeles, CA, USA. 15Medical Genetics, IRCCS Ospedale San Raffaele, Milan, Italy. 16Emory, Atlanta, GA, USA. 17Murdoch Children's Research Institute, Victoria, Australia. 18University of São Paulo, São Paulo, Brazil. 19Washington University School of Medicine, St. Louis, MO, USA. 20The American Genome Center; Uniformed Services University of the Health Sciences, Bethesda, MD, USA. 21University of California San Francisco; Chan Zuckerberg Biohub, San Francisco, CA, United States. 22Bai Jerbai Wadia Hospital for Children, Mumbai, India. 23 School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA. 24Instituto Nacional de Pediatria (National Institute of Pediatrics), Mexico City, Mexico. 25Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland. 26Research Unit, Hospital Universitario Nuestra Señora de Candelaria, Canarian Health System, Santa Cruz de Tenerife, Spain. 27University of Antioquia, Medellín, Colombia. 28Feinstein Institute for Medical Research, Northwell Health USA, Manhasset, NY, USA. 29Department of Paediatric Immunology and Pulmonology, Centre for Primary Immunodeficiency Ghent (CPIG), PID research lab, Jeffrey Modell Diagnosis and Research Centre, Ghent University Hospital, Edegem, Belgium. 30The Genetics Institute Tel Aviv Sourasky Medical Center, Tel Aviv, Israel. 31Sharjah Institute of Medical Research, College of Medicine, University of Sharjah, Sharjah, UAE. 32Institute for Systems Biology, Seattle, WA, USA. 33Children's Hospital of Philadelphia, Philadelphia, PA, USA. 34Anschutz Medical Campus, Aurora, CO, USA. 35Riken, Tokyo, Japan. 36Hellenic Pasteur Institute, Athens, Greece. 37University of Tartu, Tartu, Estonia. 38Chang Gung University, Taoyuan County, Taiwan. 39The University of Hong Kong, Hong Kong, China. 40Shanghai Public Health Clinical Center, Fudan University, Shanghai, China. 41Yale School of Medicine, New Haven, CT, USA. 42New York Genome Center, New York, NY, USA. 43Shahid Beheshti University of Medical Sciences, Tehran, Iran. 44Semmelweis University Budapest, Budapest, Hungary. 45KU Leuven, Department of Immunology, Microbiology and Transplantation, Leuven, Belgium. 46Columbia University Medical Center, New York, NY, USA. 47University Clinic for Children's Diseases, Skopje, North Macedonia. 48Aarhus University, Aarhus, Denmark. 49Tokyo Medical & Dental University Hospital, Tokyo, Japan. 50Singapore Immunology Network, Singapore. 51National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA. 52Bambino Gesù Children's Hospital, Rome, Italy; Dept. Biomedicine and Prevention, University of Rome “Tor Vergata”, Rome, Italy. 53Bambino Gesù Children's Hospital, Rome, Italy, Rome, Italy, Italy. 54Trinity College, Dublin, Ireland. 55Hiroshima University, Hiroshima, Japan. 56Bilkent University, Ankara, Turkey. 57Laboratory of Immunogenetics of Human Diseases, Innate Immunity Group, IdiPAZ Institute for Health Research, La Paz Hospital, Madrid 28046, Spain, EU, Madrid, Spain, Spain. 58IIBB-CSIC, IDIBAPS, Barcelona, Spain. 59Faculdades Pequeno Príncipe e Instituto de Pesquisa Pelé Pequeno Príncipe, Curitiba, Brazil. 60Neurometabolic Diseases Laboratory, IDIBELL- Hospital Duran I Reynals; Catalan Institution for Research and Advanced Studies (ICREA); CIBERER U759, ISCiii Madrid Spain, Barcelona, Spain. 61Institut Pasteur (CNRS UMR2000) and Collège de France, Paris, France. 62Infectious Diseases Horizontal Technology Center and Singapore Immunology Network, Agency for Science Technology (A*STAR), Singapore. 63University of Siena, Siena, Italy. 64Hospital Universitario de Gran Canaria Dr Negrín, Canarian Health System, Canary Islands, Spain. 65Imperial College London, London, UK. 66Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. 67Saeed Pathobiology and Genetic Lab, Tehran, Iran. 68Uniformed Services University of the Health Sciences (USUHS), Bethesda, MD, USA. 69Hospital Universitari Vall d'Hebron, Barcelona, Spain. 70University Medical Center Utrecht, Amsterdam, Netherlands. 71Garvan Institute of Medical Research, Sydney, Australia. 72The University of British Columbia, Vancouver, Canada. 73Holy Family Red Crescent Medical College; Centre for Precision Therapeutics, NeuroGen Children's Healthcare; Genetics and Genomic Medicine Centre, NeuroGen Children's Healthcare, Dhaka, Bangladesh. 74Mohammed Bin Rashid University of Medicine and Health Sciences, College of Medicine, Dubai, UAE; The Centre for Applied Genomics, Department of Genetics and Genome Biology, The Hospital for Sick Children, Toronto, Ontario, Canada, Dhaka, Bangladesh. 75Amsterdam UMC, Amsterdam, Netherlands. 76University of California, San Francisco, San Francisco, CA, United States. 77McGill University Health Centre, Montreal, Canada. 78Charité - Berlin University Hospital Center, Berlin, Germany. 79Molecular Biophysics Division, Faculty of Physics, A. Mickiewicz University, Uniwersytetu Poznanskiego 2, Poznań, Poland. 80Rockefeller University, Howard Hughes Medical Institute, Necker Hospital, New York, NY, USA. *Leaders of the COVID Human Genetic Effort., Interindividual clinical variability in the course of SARS-CoV-2 infection is immense. We report that at least 101 of 987 patients with life-threatening COVID-19 pneumonia had neutralizing IgG auto-Abs against IFN-ω (13 patients), the 13 types of IFN-α (36), or both (52), at the onset of critical disease; a few also had auto-Abs against the other three type I IFNs. The auto-Abs neutralize the ability of the corresponding type I IFNs to block SARS-CoV-2 infection in vitro. These auto-Abs were not found in 663 individuals with asymptomatic or mild SARS-CoV-2 infection and were present in only 4 of 1,227 healthy individuals. Patients with auto-Abs were aged 25 to 87 years and 95 were men. A B cell auto-immune phenocopy of inborn errors of type I IFN immunity underlies life-threatening COVID-19 pneumonia in at least 2.6% of women and 12.5% of men., The Laboratory of Human Genetics of Infectious Diseases is supported by the Howard Hughes Medical Institute, the Rockefeller University, the St. Giles Foundation, the National Institutes of Health (NIH) (R01AI088364), the National Center for Advancing Translational Sciences (NCATS), NIH Clinical and Translational Science Award (CTSA) program (UL1 TR001866), a Fast Grant from Emergent Ventures, Mercatus Center at George Mason University, the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956), the French National Research Agency (ANR) under the “Investments for the Future” program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62- IBEID), the French Foundation for Medical Research (FRM) (EQU201903007798), the FRM and ANR GENCOVID project, ANRS-COV05, the Square Foundation, Grandir - Fonds de solidarité pour l’enfance, the SCOR Corporate Foundation for Science, Institut Institut National de la Santé et de la Recherche Médicale (INSERM) and the University of Paris. Samples from San Raffaele Hospital were obtained within the Covid-BioB project and healthcare personnel of San Raffaele Hospital, San Raffaele Telethon Institute for Gene Therapy (SR-TIGET) clinical lab and clinical research Unit; funded by the Program Project COVID-19 OSR-UniSR and Fondazione Telethon. The French COVID Cohort study group was sponsored by Inserm and supported by the REACTing consortium and by a grant from the French Ministry of Health (PHRC 20-0424). The Cov-Contact Cohort was supported by the REACTing consortium, the French Ministry of Health, and the European Commission (RECOVER WP 6). The “Milieu Intérieur” cohort was supported by was supported by the French Government’s Investissement d’Avenir Program, Laboratoire d’Excellence “Milieu Intérieur” Grant (ANR-10-LABX-69-01) (PI: L QuintanaMurci & D Duffy). The Simoa experiment was supported by the PHRC-20-0375 COVID-19 grant “DIGITAL COVID” (PI: G Gorochov). SGT is supported by a Leadership 3 Investigator Grant awarded by the National Health and Medical Research Council of Australia, and a COVID19 Rapid Response Grant awarded by UNSW Sydney. CRG and colleagues were supported by Instituto de Salud Carlos III (COV20_01333 and COV20_01334, Spanish Ministry of Science and Innovation -RTC-2017-6471-1; AEI/FEDER, UE), and Cabildo Insular de Tenerife (CGIEU0000219140 and “Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19”). SA and AB were supported by ANR-20-COVI-0064 (PI: A Belot). This work is supported by the French Ministry of Health “Programme Hospitalier de Recherche Clinique Inter regional 2013”, by the Contrat de Plan Etat-Lorraine and FEDER Lorraine, and a public grant overseen by the French National Research Agency (ANR) as part of the second “Investissements d’Avenir” program FIGHT-HF (reference: ANR-15-RHU-0004) and by the French PIA project “Lorraine Université d’Excellence”, reference ANR15-IDEX-04-LUE (45) and biobanking is performed by the Biological Resource Center Lorrain BB-0033-00035. This study was supported by the Fonds IMMUNOV, for Innovation in Immunopathology and by a grant from the Agence National de la Recherche (ANR-flash Covid19 “AIROCovid” to FRL), and by the FAST Foundation (French Friends of Sheba Tel Hashomer Hospital). Work in the Laboratory of Virology and Infectious Disease was supported by NIH grants P01AI138398-S1, 2U19AI111825, and R01AI091707-10S1, a George Mason University Fast Grant, and the G. Harold and Leila Y. Mathers Charitable Foundation. The Amsterdam UMC Covid-19 Biobank was supported by grants of the Amsterdam Corona Research Fund, Dr. C.J. Vaillant Fund, and Netherlands Organization for Health Research and Development (ZonMw; NWO-Vici-Grant [grant number 918·19·627 to DvdB]. This work was also supported by the Division of Intramural Research of the National Institute of Dental Craniofacial Research and National Institute of Allergy and Infectious Diseases, National Institutes of Health, and by Regione Lombardia, Italy (project “Risposta immune in pazienti con COVID-19 e comorbidita”). The opinions and assertions expressed herein are those of the author(s) and do not necessarily reflect the official policy or position of the Uniformed Services University or the Department of Defense. JH holds an Institut Imagine MD-PhD fellowship from the Fondation Bettencourt Schueller. JR is supported by the Inserm PhD program (“poste d’accueil Inserm”). PB was supported by the French Foundation for Medical Research (FRM, EA20170638020) and the MD-PhD program of the Imagine Institute (with the support of the Fondation Bettencourt-Schueller). We thank the Association “Turner et vous” for their help and support. Sample processing at IrsiCaixa was possible thanks to the crowdfunding initiative YoMeCorono. DCV is supported by the Fonds de la recherche en santé du Québec clinician-scientist scholar program. K. Kisand was supported by the Estonian Research Council grant PUT1367. We thank the GEN-COVID Multicenter Study (https://sites.google.com/dbm.unisi.it/gen-covid). We thank the NIAID Office of Cyber Infrastructure and Computational Biology, Bioinformatics and Computational Biosciences Branch (Contract HHSN316201300006W/HHSN27200002 to MSC, Inc) and Operations Engineering Branch for developing the HGRepo system to enable streamlined access to the data and the NCI Advanced Biomedical Computational Science (ABCS) for data transformation support.
Published: 2020
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2. Autoantibodies neutralizing type I IFNs are present in ~4% of uninfected individuals over 70 years old and account for ~20% of COVID-19 deaths

Author: Bastard, P. Gervais, A. Voyer, T.L. Rosain, J. Philippot, Q. Manry, J. Michailidis, E. Hoffmann, H.-H. Eto, S. Garcia-Prat, M. Bizien, L. Parra-Martínez, A. Yang, R. Haljasmägi, L. Migaud, M. Särekannu, K. Maslovskaja, J. De Prost, N. Tandjaoui-Lambiotte, Y. Luyt, C.-E. Amador-Borrero, B. Gaudet, A. Poissy, J. Morel, P. Richard, P. Cognasse, F. Troya, J. Trouillet-Assant, S. Belot, A. Saker, K. Garçon, P. Rivière, J.G. Lagier, J.-C. Gentile, S. Rosen, L.B. Shaw, E. Morio, T. Tanaka, J. Dalmau, D. Tharaux, P.-L. Sene, D. Stepanian, A. Megarbane, B. Triantafyllia, V. Fekkar, A. Heath, J.R. Franco, J.L. Anaya, J.-M. Solé-Violán, J. Imberti, L. Biondi, A. Bonfanti, P. Castagnoli, R. Delmonte, O.M. Zhang, Y. Snow, A.L. Holland, S.M. Biggs, C.M. Moncada-Vélez, M. Arias, A.A. Lorenzo, L. Boucherit, S. Coulibaly, B. Anglicheau, D. Planas, A.M. Haerynck, F. Duvlis, S. Nussbaum, R.L. Ozcelik, T. Keles, S. Bousfiha, A.A. El Bakkouri, J. Ramirez-Santana, C. Paul, S. Pan-Hammarström, Q. Hammarström, L. Dupont, A. Kurolap, A. Metz, C.N. Aiuti, A. Casari, G. Lampasona, V. Ciceri, F. Barreiros, L.A. Dominguez-Garrido, E. Vidigal, M. Zatz, M. Van De Beek, D. Sahanic, S. Tancevski, I. Stepanovskyy, Y. Boyarchuk, O. Nukui, Y. Tsumura, M. Vidaur, L. Tangye, S.G. Burrel, S. Duffy, D. Quintana-Murci, L. Klocperk, A. Kann, N.Y. Shcherbina, A. Lau, Y.-L. Leung, D. Coulongeat, M. Marlet, J. Koning, R. Reyes, L.F. Chauvineau-Grenier, A. Venet, F. Monneret, G. Nussenzweig, M.C. Arrestier, R. Boudhabhay, I. Baris-Feldman, H. Hagin, D. Wauters, J. Meyts, I. Dyer, A.H. Kennelly, S.P. Bourke, N.M. Halwani, R. Sharif-Askari, N.S. Dorgham, K. Sallette, J. Sedkaoui, S.M. AlKhater, S. Rigo-Bonnin, R. Morandeira, F. Roussel, L. Vinh, D.C. Ostrowski, S.R. Condino-Neto, A. Prando, C. Bondarenko, A. Spaan, A.N. Gilardin, L. Fellay, J. Lyonnet, S. Bilguvar, K. Lifton, R.P. Mane, S. Anderson, M.S. Boisson, B. Béziat, V. Zhang, S.-Y. Andreakos, E. Hermine, O. Pujol, A. Peterson, P. Mogensen, T.H. Rowen, L. Mond, J. Debette, S. De Lamballerie, X. Duval, X. Mentré, F. Zins, M. Soler-Palacin, P. Colobran, R. Gorochov, G. Solanich, X. Susen, S. Martinez-Picado, J. Raoult, D. Vasse, M. Gregersen, P.K. Piemonti, L. Rodríguez-Gallego, C. Notarangelo, L.D. Su, H.C. Kisand, K. Okada, S. Puel, A. Jouanguy, E. Rice, C.M. Tiberghien, P. Zhang, Q. Cobat, A. Abel, L. Casanova, J.-L. Alavoine, L. Behillil, S. Burdet, C. Charpentier, C. Dechanet, A. Descamps, D. Ecobichon, J.-L. Enouf, V. Frezouls, W. Houhou, N. Kafif, O. Lehacaut, J. Letrou, S. Lina, B. Lucet, J.-C. Manchon, P. Nouroudine, M. Piquard, V. Quintin, C. Thy, M. Tubiana, S. Van Der Werf, S. Vignali, V. Visseaux, B. Yazdanpanah, Y. Chahine, A. Waucquier, N. Migaud, M.-C. Deplanque, D. Djossou, F. Mergeay-Fabre, M. Lucarelli, A. Demar, M. Bruneau, L. Gerardin, P. Maillot, A. Payet, C. Laviolle, B. Laine, F. Paris, C. Desille-Dugast, M. Fouchard, J. Malvy, D. Nguyen, D. Pistone, T. Perreau, P. Gissot, V. Le Goas, C. Montagne, S. Richard, L. Chirouze, C. Bouiller, K. Desmarets, M. Meunier, A. Lefevre, B. Jeulin, H. Legrand, K. Lomazzi, S. Tardy, B. Gagneux-Brunon, A. Bertholon, F. Botelho-Nevers, E. Christelle, K. Nicolas, L. Roufai, L. Amat, K. Couffin-Cadiergues, S. Esperou, H. Hendou, S. Townsend, L. Cheallaigh, C.N. Bergin, C. Martin-Loeches, I. Dunne, J. Conlon, N. O'Farrelly, C. Abad, J. Accordino, G. Achille, C. Aguilera-Albesa, S. Aguilo-Cucurull, A. Ozkan, E.A. Darazam, I.A. Albisures, J.A.R. Aldave, J.C. Ramos, M.A. Khan, T.A. Aliberti, A. Nadji, S.A. Alkan, G. AlKhater, S.A. Allardet-Servent, J. Allende, L.M. Alonso-Arias, R. Alshahrani, M.S. Alsina, L. Alyanakian, M.-A. Borrero, B.A. Amoura, Z. Antoli, A. Aubart, M. Auguet, T. Avramenko, I. Aytekin, G. Azot, A. Bahram, S. Bajolle, F. Baldanti, F. Baldolli, A. Ballester, M. Feldman, H.B. Barrou, B. Barzaghi, F. Basso, S. Bayhan, G.I. Bezrodnik, L. Bilbao, A. Blanchard-Rohner, G. Blanco, I. Blandinieres, A. Blazquez-Gamero, D. 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Ploin, D. Poncelet, G. Poulakou, G. Pouletty, M.S. Pourshahnazari, P. Qiu-Chen, J.L. Quentric, P. Rambaud, T. Raoult, V. Rebillat, A.-S. Redin, C. Resmini, L. Ricart, P. Richard, J.-C. Rivet, N. Rocamora-Blanch, G. Rodero, M.P. Rodrigo, C. Rodriguez, L.A. Rodriguez-Palmero, A. Romero, C.S. Rothenbuhler, A. Roux, D. Rovina, N. Rozenberg, F. Ruch, Y. Ruiz, M. Del Prado, M.Y.R. Ruiz-Rodriguez, J.C. Sabater-Riera, J. Saks, K. Salagianni, M. Sanchez, O. Sanchez-Montalva, A. Sanchez-Ramon, S. Schidlowski, L. Schluter, A. Schmidt, J. Schmidt, M. Schuetz, C. Schweitzer, C.E. Scolari, F. Sediva, A. Seijo, L. Seminario, A.G. Seng, P. Senoglu, S. Seppanen, M. Llovich, A.S. Shahrooei, M. Siguret, V. Siouti, E. Smadja, D.M. Smith, N. Sobh, A. Soler, C. Sozeri, B. Stella, G.M. Stepanovskiy, Y. Stoclin, A. Taccone, F. Taupin, J.-L. Tavernier, S.J. Terrier, B. Thiery, G. Thorball, C. Thorn, K. Thumerelle, C. Tipu, I. Tolstrup, M. Tomasoni, G. Toubiana, J. Alvarez, J.T. Tsang, O.T.Y. Tserel, L. Tso, E.Y.K. Tucci, A. Oz, Ş.K.T. Ursini, M.V. Utsumi, T. Uzunhan, Y. Vabres, P. Valencia-Ramos, J. Van Den Rym, A.M. Vandernoot, I. Velez-Santamaria, V. Veliz, S.P.Z. Vidigal, M.C. Viel, S. Vilain, C. Vilaire-Meunier, M.E. Villar-Garcia, J. Vincent, A. Vogt, G. Voiriot, G. Volokha, A. Vuotto, F. Wauters, E. Wu, A.K.L. Wu, T.-C. Yahşi, A. Yesilbas, O. Yildiz, M. Young, B.E. Yukselmiş, U. Zecca, M. Zuccaro, V. Van Praet, J. Lambrecht, B.N. Van Braeckel, E. Bosteels, C. Hoste, L. Hoste, E. Bauters, F. De Clercq, J. Heijmans, C. Slabbynck, H. Naesens, L. Florkin, B. Boulanger, C. Vanderlinden, D. Allavena, C. Andrejak, C. Angoulvant, F. Azoulay, C. Bachelet, D. Bartoli, M. Basmaci, R. Behillill, S. Beluze, M. Benech, N. Benkerrou, D. Bhavsar, K. Bitker, L. Bouadma, L. Bouscambert-Duchamp, M. Paz, P.C. Cervantes-Gonzalez, M. Chair, A. Coelho, A. Cordel, H. Couffignal, C. D'Ortenzio, E. De Montmollin, E. Debard, A. Debray, M.-P. Desvallee, M. Diallo, A. Diouf, A. Dorival, C. Dubos, F. Eloy, P. Epaulard, O. Esposito-Farase, M. Etienne, M. Garot, D. Gault, N. Gaymard, A. Ghosn, J. Gigante, T. Gilg, M. Goehringer, F. Guedj, J. Hoctin, A. Hoffmann, I. Houas, I. Hulot, J.-S. Jaafoura, S. Kaguelidou, F. Kali, S. Kerroumi, Y. Khalil, A. Khan, C. Kimmoun, A. Laouenan, C. Laribi, S. Le, M. Le Bris, C. Le Gac, S. Le Hingrat, Q. Le Mestre, S. Le Nagard, H. Lemaignen, A. Lemee, V. Lescure, F.-X. Levy, Y. Lingas, G. Lucet, J.C. MacHado, M. Mambert, M. Manuel, A. Meziane, A. Mouquet, H. Mullaert, J. Neant, N. Noret, M. Papadopoulos, A. Paul, C. Peiffer-Smadja, N. Peigne, V. Petrov-Sanchez, V. Peytavin, G. Pham, H. Picone, O. Puechal, O. Rosa-Calatrava, M. Rossignol, B. Rossignol, P. Roy, C. Schneider, M. Su, R. Tardivon, C. Tellier, M.-C. Teoule, F. Terrier, O. Timsit, J.F. Tual, C. Vanel, N. Veislinger, A. Wiedemann, A. Danielson, J.J. Dobbs, K. Kashyap, A. Ding, L. Dalgard, C.L. Sottini, A. Quaresima, V. Quiros-Roldan, E. Rossi, C. Bettini, L.R. D'Angio, M. Beretta, I. Montagna, D. Licari, A. Marseglia, G.L. Storgaard, M. Jorgensen, S. Al-Muhsen, S. Al-Mulla, F. Arias, A.A. Bogunovic, D. Bolze, A. Brodin, P. Bryceson, Y. Bustamante, C.D. Butte, M.J. Chakravorty, S. Christodoulou, J. Constantinescu, S.N. Cooper, M.A. Desai, M. Drolet, B.A. El Baghdadi, J. Espinosa-Padilla, S. Froidure, A. Henrickson, S.E. Hsieh, E.W.Y. Husebye, E.S. Imai, K. Itan, Y. Jarvis, E.D. Karamitros, T. Ku, C.-L. Ling, Y. Lucas, C.L. Maniatis, T. Marodi, L. Milner, J.D. Mironska, K. Novelli, A. Novelli, G. Renia, L. Resnick, I. Sancho-Shimizu, V. Seppanen, M.R.J. Shahrooei, M. Slaby, O. Tayoun, A.A. Ramaswamy, S. Turvey, S.E. Furkan Uddin, K.M. Uddin, M.J. Von Bernuth, H. Zawadzki, P. Bigio, B. De La Chapelle, A. Chen, J. Chrabieh, M. Liu, D. Nemirowskaya, Y. Cruz, I.M. Materna, M. Pelet, S. Seeleuthner, Y. Thibault, C. Liu, Z. Foti, G. Bellani, G. Citerio, G. Contro, E. Pesci, A. Valsecchi, M.G. Cazzaniga, M. Batten, I. Reddy, C. McElheron, M. Noonan, C. Connolly, E. Fallon, A. Erikstrup, C. Pedersen, O.B. Sorensen, E. Mikkelsen, S. Dinh, K.M. Larsen, M.A.H. Paulsen, I.W. Von Stemann, J.H. Hansen, M.B. Annereau, J.-P. Briseno-Roa, L. Gribouval, O. Pelet, A. Alcover, A. Aschard, H. Bousso, P. Bruhns, P. Cerf-Bensussan, N. Cumano, A. D'Enfert, C. Deriano, L. Dillies, M.-A. Di Santo, J. Dromer, F. Eberl, G. Enninga, J. Gomperts-Boneca, I. Hasan, M. Hedestam, G.K. Hercberg, S. Ingersoll, M.A. Lantz, O. Kenny, R.A. Menager, M. Michel, F. Patin, E. Pellegrini, S. Rausell, A. Rieux-Laucat, F. Rogge, L. Fontes, M. Sakuntabhai, A. Schwartz, O. Schwikowski, B. Shorte, S. Tangy, F. Toubert, A. Touvier, M. Ungeheuer, M.-N. Zimmer, C. Albert, M.L. Van Agtmael, M. Algera, A.G. Appelman, B. Van Baarle, F. Bax, D. Beudel, M. Bogaard, H.J. Bomers, M. Bonta, P. Bos, L. Botta, M. De Brabander, J. De Bree, G. De Bruin, S. Buis, D.T.P. Bugiani, M. Bulle, E. Chouchane, O. Cloherty, A. Dijkstra, M. Dongelmans, D.A. Dujardin, R.W.G. Elbers, P. Fleuren, L. Geerlings, S. Geijtenbeek, T. Girbes, A. Goorhuis, B. Grobusch, M.P. Hafkamp, F. Hagens, L. Hamann, J. Harris, V. Hemke, R. Hermans, S.M. Heunks, L. Hollmann, M. Horn, J. Hovius, J.W. De Jong, M.D. Lim, E.H.T. Van Mourik, N. Nellen, J. Nossent, E.J. Paulus, F. Peters, E. Pina-Fuentes, D.A.I. Van Der Poll, T. Preckel, B. Prins, J.M. Raasveld, J. Reijnders, T. De Rotte, M.C.F.J. Schinkel, M. Schultz, M.J. Schrauwen, F.A.P. Schuurman, A. Schuurmans, J. Sigaloff, K. Slim, M.A. Smeele, P. Smit, M. Stijnis, C.S. Stilma, W. Teunissen, C. Thoral, P. Tsonas, A.M. Tuinman, P.R. Van Der Valk, M. Veelo, D. Volleman, C. De Vries, H. Vught, L.A. Van Vugt, M. Wouters, D. Zwinderman, A.H. Brouwer, M.C. Joost Wiersinga, W. Vlaar, A.P.J. Nadif, R. Goldberg, M. Ozguler, A. Henny, J. Lemonnier, S. Coeuret-Pellicer, M. Le Got, S. Tzourio, C. Dufouil, C. Soumare, A. Lachaize, M. Fievet, N. Flaig, A. Martin, F. Bonneaudeau, B. Cannet, D. Gallian, P. Jeanne, M. Perroquin, M. Hamzeh-Cognasse, H. CoV-Contact Cohort St James's Hospital, SARS CoV2 Interest group COVID Clinicians French COVID Cohort Study Group NIAID Immune Response to COVID Group Danish CHGE COVID Human Genetic Effort HGID Lab COVID-STORM Clinicians NH-COVAIR Study Group The Danish Blood Donor Study (DBDS) Imagine COVID-Group The Milieu Interieur Consortium Amsterdam UMC Covid-19 Biobank CONSTANCES cohort 3C-Dijon Study Cerba HealthCare Etablissement du Sang study group
Abstract: Circulating autoantibodies (auto-Abs) neutralizing high concentrations (10 ng/ml; in plasma diluted 1:10) of IFN-α and/or IFN-ω are found in about 10% of patients with critical COVID-19 (coronavirus disease 2019) pneumonia but not in individuals with asymptomatic infections. We detect auto-Abs neutralizing 100-fold lower, more physiological, concentrations of IFN-α and/or IFN-ω (100 pg/ml; in 1:10 dilutions of plasma) in 13.6% of 3595 patients with critical COVID-19, including 21% of 374 patients >80 years, and 6.5% of 522 patients with severe COVID-19. These antibodies are also detected in 18% of the 1124 deceased patients (aged 20 days to 99 years; mean: 70 years). Moreover, another 1.3% of patients with critical COVID-19 and 0.9% of the deceased patients have auto-Abs neutralizing high concentrations of IFN-β. We also show, in a sample of 34,159 uninfected individuals from the general population, that auto-Abs neutralizing high concentrations of IFN-α and/or IFN-ω are present in 0.18% of individuals between 18 and 69 years, 1.1% between 70 and 79 years, and 3.4% >80 years. Moreover, the proportion of individuals carrying auto-Abs neutralizing lower concentrations is greater in a subsample of 10,778 uninfected individuals: 1% of individuals 80 years. By contrast, auto-Abs neutralizing IFN-β do not become more frequent with age. Auto-Abs neutralizing type I IFNs predate SARS-CoV-2 infection and sharply increase in prevalence after the age of 70 years. They account for about 20% of both critical COVID-19 cases in the over 80s and total fatal COVID-19 cases. © 2021 The Authors, some rights reserved.
Published: 2021

3. Condition-dependent transcriptome reveals high-level regulatory architecture in Bacillus subtilis

Author: Nicolas, P., Mader, U., Dervyn, Etienne, Rochat, T., Leduc, A., Pigeonneau, N., Marchadier, E., Hoebeke, M., Aymerich, S., Becher, D., Bisicchia, P., Botella, E., Delumeau, O., Doherty, G., Denham, E., Fogg, M., Fromion, V., Goelzer, A., Hansen, A., Hartig, E., Harwood, C., Homuth, G., Jarmer, H., Jules, M., Klipp, E., Le Chat, L., Lecointe, F., Lewis, P., Liebermeister, W., March, A., Mars, R., Nannapaneni, P., Noone, D., Pohl, S., Rinn, B., Rugheimer, F., Sappa, P., Samson, F., Schaffer, M., Schwikowski, B., Steil, L., Stulke, J., Wiegert, T., Devine, K., Wilkinson, A., Maarten van Dijl, J., Hecker, M., VOLKER, U., Bessieres, P., Noirot, P., Steczkiewicz, Kamil, Prestel, Eric, Bidnenko, Elena, Szczepankowska, Agnieszka, Unité Mathématique, Informatique et Génome (MIG), Institut National de la Recherche Agronomique (INRA), Institut für Mikrobiologie - Institute for Microbiology, Universität Greifswald - University of Greifswald, Interfaculty Institute for Genetics and Functional Genomics, MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Smurfit Institute of Genetics, Trinity College Dublin, School of Environmental and Life Sciences, Newcastle University [Newcastle], Department of Medical Microbiology, University of Groningen [Groningen], York Structural Biology Laboratory, Department of Chemistry, University of York [York, UK], Institute of Microbiology, Technische Universität Braunschweig [Braunschweig], Centre for Bacterial Cell Biology, Institute, of Cell and Molecular Biosciences, Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark [Lyngby] (DTU), Theoretical Biophysics [Berlin], Humboldt Universität zu Berlin, Center for Information Sciences and Databases - Department of Biosystems Science and Engineering, Biologie systémique - Systems Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Department of General Microbiology Georg-Augus, Georg-August-Universität Göttingen, FN Biotechnologie, Laurea University of Applied Sciences, Unité Mathématique Informatique et Génome (MIG), Technische Universität Braunschweig = Technical University of Braunschweig [Braunschweig], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Humboldt University Of Berlin, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Georg-August-University = Georg-August-Universität Göttingen, Humboldt-Universität zu Berlin, Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Georg-August-University [Göttingen], Unité du méningocoque, Centre Collaborateur OMS, Institut de Médecine Tropicale du Service de Santé des Armées-Institut de Recherches Biomédicales des Armées, Institute of Geological Sciences [Bern], University of Bern, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ALK Abelló, Partenaires INRAE, Laboratoire de Spectroscopie Biomédicale, Institut de Physique, Université de Liège, AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Faculteit Medische Wetenschappen/UMCG, Microbes in Health and Disease (MHD), and Translational Immunology Groningen (TRIGR)
Subjects: [SDV]Life Sciences [q-bio], antisense, phage recombinase, Bacillus subtilis, [SDV.BC]Life Sciences [q-bio]/Cellular Biology, Biology, single strand annealing proteins (SSAP), Firmicutes bacteriophages, Transcriptome, 03 medical and health sciences, chemistry.chemical_compound, RNA-POLYMERASE, Sigma factor, Transcription (biology), RHO, RNA polymerase, CLANS, bacteria, Gene, 030304 developmental biology, abortive intection, Regulation of gene expression, Genetics, bacterie, 0303 health sciences, Multidisciplinary, IDENTIFICATION, SEQUENCES, LANDSCAPE, 030306 microbiology, Promoter, BIOLOGIE, DNA, BIOLOGIE MOLECULAIRE, biology.organism_classification, GENE, GENOME, CRISPR/cas, chemistry, ESCHERICHIA-COLI, facteur sigma, sigma factor, transcription, Sak3/DUF1071, phage-bacteria arms race
Abstract: Outside In Acquisition and analysis of large data sets promises to move us toward a greater understanding of the mechanisms by which biological systems are dynamically regulated to respond to external cues. Now, two papers explore the responses of a bacterium to changing nutritional conditions (see the Perspective by Chalancon et al. ). Nicolas et al. (p. 1103 ) measured transcriptional regulation for more than 100 different conditions. Greater amounts of antisense RNA were generated than expected and appeared to be produced by alternative RNA polymerase targeting subunits called sigma factors. One transition, from malate to glucose as the primary nutrient, was studied in more detail by Buescher et al. (p. 1099 ) who monitored RNA abundance, promoter activity in live cells, protein abundance, and absolute concentrations of intracellular and extracellular metabolites. In this case, the bacteria responded rapidly and largely without transcriptional changes to life on malate, but only slowly adapted to use glucose, a shift that required changes in nearly half the transcription network. These data offer an initial understanding of why certain regulatory strategies may be favored during evolution of dynamic control systems.
Published: 2012
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4. Better tree alignments through near-optimal intermediates

Author: Schwikowski, B., Vingron, M., and Publica
Published: 1997

5. Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges

Author: Barbara, Piasecka, Darragh, Duffy, Alejandra, Urrutia, Hélène, Quach, Etienne, Patin, Céline, Posseme, Jacob, Bergstedt, Bruno, Charbit, Vincent, Rouilly, Cameron R, MacPherson, Milena, Hasan, Benoit, Albaud, David, Gentien, Jacques, Fellay, Matthew L, Albert, Lluis, Quintana-Murci, Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris], Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Genentech, Inc., Genentech, Inc. [San Francisco], Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Lund University [Lund], International Group for Data Analysis (IGDA), Plateforme de génomique [Institut Curie], Institut Curie [Paris], Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne (UNIL), This work was supported by the French Government’s Investissement d’Avenir Program, Laboratoire d’Excellence 'Milieu Intérieur' Grant ANR-10-LABX-69-01., We acknowledge Stephanie Thomas for managing the Milieu Intérieur Consortium. Milieu intérieur Consortium : Abel L, Alcover A, Aschard H, Aström K, Bousso P, Bruhns P, Cumano A, Duffy D, Demangel C, Deriano L, Di Santo J, Dromer F, Eberl G, Enninga J, Fellay J, Fontes M, Freitas A, Gelpi O, Gomperts-Boneca I, Hercberg S, Lantz O, Leclerc C, Mouquet H, Patin E, Pellegrini S, Pol S, Raussel A, Rogge L, Sakuntabhai A, Schwartz O, Schwikowski B, Shorte S, Soumelis V, Tangy F, Tartour E, Toubert A, Ungeheuer MN, Quintana-Murci L, Albert ML., ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Centre de Recherche Translationnelle ( CRT ), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique ( CNRS ), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de Bioinformatique, Biostatistique et Biologie Intégrative ( C3BI ), International Group for Data Analysis ( IGDA ), Institut Curie, Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Milieu intérieur Consortium : Abel L, Alcover A, Aschard H, Aström K, Bousso P, Bruhns P, Cumano A, Duffy D, Demangel C, Deriano L, Di Santo J, Dromer F, Eberl G, Enninga J, Fellay J, Fontes M, Freitas A, Gelpi O, Gomperts-Boneca I, Hercberg S, Lantz O, Leclerc C, Mouquet H, Patin E, Pellegrini S, Pol S, Raussel A, Rogge L, Sakuntabhai A, Schwartz O, Schwikowski B, Shorte S, Soumelis V, Tangy F, Tartour E, Toubert A, Ungeheuer MN, Quintana-Murci L, Albert ML., ANR : 10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE ( 2010 ), Vougny, Marie-Christine, Laboratoires d'excellence - GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE - - MILIEU INTERIEUR2010 - ANR-10-LABX-0069 - LABX - VALID, Institut Pasteur [Paris] (IP), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Lausanne = University of Lausanne (UNIL), Milieu Intérieur Consortium, Abel, L., Alcover, A., Aschard, H., Aström, K., Bousso, P., Bruhns, P., Cumano, A., Duffy, D., Demangel, C., Deriano, L., Di Santo, J., Dromer, F., Eberl, G., Enninga, J., Fellay, J., Fontes, M., Freitas, A., Gelpi, O., Gomperts-Boneca, I., Hercberg, S., Lantz, O., Leclerc, C., Mouquet, H., Patin, E., Pellegrini, S., Pol, S., Raussel, A., Rogge, L., Sakuntabhai, A., Schwartz, O., Schwikowski, B., Shorte, S., Soumelis, V., Tangy, F., Tartour, E., Toubert, A., Ungeheuer, M.N., Quintana-Murci, L., and Albert, M.L.
Subjects: Adult, Male, Aging, Genotype, [SDV.IMM] Life Sciences [q-bio]/Immunology, Quantitative Trait Loci, [ SDV.IMM.IA ] Life Sciences [q-bio]/Immunology/Adaptive immunology, Cohort Studies, Enterotoxins, Young Adult, Immunology and Inflammation, Humans, sex, genetics, [ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], [ SDV.GEN.GH ] Life Sciences [q-bio]/Genetics/Human genetics, Aged, [ SDV.IMM.II ] Life Sciences [q-bio]/Immunology/Innate immunity, Bacteria, Fungi, Genetic Variation, Middle Aged, Biological Sciences, Bacteria/immunology, Enterotoxins/immunology, Female, Fungi/immunology, Gene Expression Regulation/immunology, Influenza A virus/immunology, age, gene expression, human immune variation, [ SDV.GEN.GPO ] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], [ SDV.MHEP.MI ] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Gene Expression Regulation, PNAS Plus, Influenza A virus, [SDV.IMM]Life Sciences [q-bio]/Immunology
Abstract: Significance Identifying the drivers of the interindividual diversity of the human immune system is crucial to understand their consequences on immune-mediated diseases. By examining the transcriptional responses of 1,000 individuals to various microbial challenges, we show that age and sex influence the expression of many immune-related genes, but their effects are overall moderate, whereas genetic factors affect a smaller gene set but with a stronger effect. We identify numerous genetic variants that affect transcriptional variation on infection, many of which are associated with autoimmune or inflammatory disorders. These results enable additional exploration of the role of regulatory variants in the pathogenesis of immune-related diseases and improve our understanding of the respective effects of age, sex, and genetics on immune response variation., The contribution of host genetic and nongenetic factors to immunological differences in humans remains largely undefined. Here, we generated bacterial-, fungal-, and viral-induced immune transcriptional profiles in an age- and sex-balanced cohort of 1,000 healthy individuals and searched for the determinants of immune response variation. We found that age and sex affected the transcriptional response of most immune-related genes, with age effects being more stimulus-specific relative to sex effects, which were largely shared across conditions. Although specific cell populations mediated the effects of age and sex on gene expression, including CD8+ T cells for age and CD4+ T cells and monocytes for sex, we detected a direct effect of these intrinsic factors for the majority of immune genes. The mapping of expression quantitative trait loci (eQTLs) revealed that genetic factors had a stronger effect on immune gene regulation than age and sex, yet they affected a smaller number of genes. Importantly, we identified numerous genetic variants that manifested their regulatory effects exclusively on immune stimulation, including a Candida albicans-specific master regulator at the CR1 locus. These response eQTLs were enriched in disease-associated variants, particularly for autoimmune and inflammatory disorders, indicating that differences in disease risk may result from regulatory variants exerting their effects only in the presence of immune stress. Together, this study quantifies the respective effects of age, sex, genetics, and cellular heterogeneity on the interindividual variability of immune responses and constitutes a valuable resource for further exploration in the context of different infection risks or disease outcomes.
Published: 2018
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6. Autoantibodies neutralizing type I IFNs are present in ~4% of uninfected individuals over 70 years old and account for ~20% of COVID-19 deaths

Author: Bastard, Paul, Gervais, Adrian, Le Voyer, Tom, Rosain, Jérémie, Philippot, Quentin, Manry, Jérémy, Michailidis, Eleftherios, Hoffmann, Hans-Heinrich, Eto, Shohei, Garcia-Prat, Marina, Bizien, Lucy, Parra-Martínez, Alba, Yang, Rui, Haljasmägi, Liis, Migaud, Mélanie, Särekannu, Karita, Maslovskaja, Julia, de Prost, Nicolas, Tandjaoui-Lambiotte, Yacine, Luyt, Charles-Edouard, Amador-Borrero, Blanca, Gaudet, Alexandre, Poissy, Julien, Morel, Pascal, Richard, Pascale, Cognasse, Fabrice, Troya, Jesus, Trouillet-Assant, Sophie, Belot, Alexandre, Saker, Kahina, Garçon, Pierre, Rivière, Jacques G., Lagier, Jean-Christophe, Gentile, Stéphanie, Rosen, Lindsey B., Shaw, Elana, Morio, Tomohiro, Tanaka, Junko, Dalmau, David, Tharaux, Pierre-Louis, Sene, Damien, Stepanian, Alain, Megarbane, Bruno, Triantafyllia, Vasiliki, Fekkar, Arnaud, Heath, James R., Franco, José Luis, Anaya, Juan-Manuel, Solé-Violán, Jordi, Imberti, Luisa, Biondi, Andrea, Bonfanti, Paolo, Castagnoli, Riccardo, Delmonte, Ottavia M., Zhang, Yu, Snow, Andrew L., Holland, Steven M., Biggs, Catherine M., Moncada-Vélez, Marcela, Arias, Andrés Augusto, Lorenzo, Lazaro, Boucherit, Soraya, Coulibaly, Boubacar, Anglicheau, Dany, Planas, Anna M., Haerynck, Filomeen, Duvlis, Sotirija, Nussbaum, Robert L., Ozcelik, Tayfun, Keles, Sevgi, Bousfiha, Ahmed A., El Bakkouri, Jalila, Ramirez-Santana, Carolina, Paul, Stéphane, Pan-Hammarström, Qiang, Hammarström, Lennart, Dupont, Annabelle, Kurolap, Alina, Metz, Christine N., Aiuti, Alessandro, Casari, Giorgio, Lampasona, Vito, Ciceri, Fabio, Barreiros, Lucila A., Dominguez-Garrido, Elena, Vidigal, Mateus, Zatz, Mayana, van de Beek, Diederik, Sahanic, Sabina, Tancevski, Ivan, Stepanovskyy, Yurii, Boyarchuk, Oksana, Nukui, Yoko, Tsumura, Miyuki, Vidaur, Loreto, Tangye, Stuart G., Burrel, Sonia, Duffy, Darragh, Quintana-Murci, Lluis, Klocperk, Adam, Kann, Nelli Y., Shcherbina, Anna, Lau, Yu-Lung, Leung, Daniel, Coulongeat, Matthieu, Marlet, Julien, Koning, Rutger, Reyes, Luis Felipe, Chauvineau-Grenier, Angélique, Venet, Fabienne, Monneret, Guillaume, Nussenzweig, Michel C., Arrestier, Romain, Boudhabhay, Idris, Baris-Feldman, Hagit, Hagin, David, Wauters, Joost, Meyts, Isabelle, Dyer, Adam H., Kennelly, Sean P., Bourke, Nollaig M., Halwani, Rabih, Sharif-Askari, Narjes Saheb, Dorgham, Karim, Sallette, Jérome, Mehlal Sedkaoui, Souad, AlKhater, Suzan, Rigo-Bonnin, Raúl, Morandeira, Francisco, Roussel, Lucie, Vinh, Donald C., Ostrowski, Sisse Rye, Condino-Neto, Antonio, Prando, Carolina, Bondarenko, Anastasiia, Spaan, András N., Gilardin, Laurent, Fellay, Jacques, Lyonnet, Stanislas, Bilguvar, Kaya, Lifton, Richard P., Mane, Shrikant, Anderson, Mark S., Boisson, Bertrand, Béziat, Vivien, Zhang, Shen-Ying, Andreakos, Evangelos, Hermine, Olivier, Pujol, Aurora, Peterson, Pärt, Mogensen, Trine H., Rowen, Lee, Mond, James, Debette, Stéphanie, de Lamballerie, Xavier, Duval, Xavier, Mentré, France, Zins, Marie, Soler-Palacin, Pere, Colobran, Roger, Gorochov, Guy, Solanich, Xavier, Susen, Sophie, Martinez-Picado, Javier, Raoult, Didier, Vasse, Marc, Gregersen, Peter K., Piemonti, Lorenzo, Rodríguez-Gallego, Carlos, Notarangelo, Luigi D., Su, Helen C., Kisand, Kai, Okada, Satoshi, Puel, Anne, Jouanguy, Emmanuelle, Rice, Charles M., Tiberghien, Pierre, Zhang, Qian, Cobat, Aurélie, Abel, Laurent, Casanova, Jean-Laurent, Bigio, Benedetta, de la Chapelle, Aliénor, Chen, Jie, Chrabieh, Maya, Liu, Dana, Nemirowskaya, Yelena, Cruz, Inés Marín, Materna, Marie, Pelet, Sophie, Seeleuthner, Yoann, Thibault, Chloé, Liu, Zhiyong, Abad, Jorge, Accordino, Giulia, Achille, Cristian, Aguilera-Albesa, Sergio, Aguiló-Cucurull, Aina, Özkan, Esra Akyüz, Darazam, Ilad Alavi, Roblero Albisures, Jonathan Antonio, Aldave, Juan C, Ramos, Miquel Alfonso, Khan, Taj Ali, Aliberti, Anna, Nadji, Seyed Alireza, Alkan, Gulsum, Alkhater, Suzan A., Allardet-Servent, Jerome, Allende, Luis M, Alonso-Arias, Rebeca, Alshahrani, Mohammed S, Alsina, Laia, Alyanakian, Marie-Alexandra, Borrero, Blanca Amador, Amoura, Zahir, Antolí, Arnau, Aubart, Mélodie, Auguet, Teresa, Avramenko, Iryna, Aytekin, Gökhan, Azot, Axelle, Bahram, Seiamak, Bajolle, Fanny, Baldanti, Fausto, Baldolli, Aurélie, Ballester, Maite, Feldman, Hagit Baris, Barrou, Benoit, Barzagh, Federica, Basso, Sabrina, Bayhan, Gulsum Iclal, Bezrodnik, Liliana, Bilbao, Agurtzane, Blanchard-Rohner, Geraldine, Blanco, Ignacio, Blandinières, Adeline, Blázquez-Gamero, Daniel, Bleibtreu, Alexandre, Bloomfield, Marketa, Bolivar-Prados, Mireia, Borghesi, Alessandro, Borie, Raphael, Botdhlo-Nevers, Elisabeth, Bousfiha, Ahmed A, Bousquet, Aurore, Boutolleau, David, Bouvattier, Claire, Bravais, Juliette, Briones, M. Luisa, Brunner, Marie-Eve, Bruno, Raffaele, Bueno, Maria Rita P, Bukhari, Huda, Bustamante, Jacinta, Cáceres Agra, Juan José, Capra, Ruggero, Carapito, Raphael, Carrabba, Maria, Casasnovas, Carlos, Caseris, Marion, Cassaniti, Irene, Castelle, Martin, Castelli, Francesco, de Vera, Martín Castillo, Castro, Mateus V, Catherinot, Emilie, Celik, Jale Bengi, Ceschi, Alessandro, Chalumeau, Martin, Charbit, Bruno, Cheng, Matthew P., Clavé, Père, Clotet, Bonaventura, Codina, Anna, Cohen, Yves, Comarmond, Cloé, Combes, Alain, Comoli, Patrizia, Corsico, Angelo G, Coşkuner, Taner, Cvetkovski, Aleksandar, Cyrus, Cyril, Danion, François, Darley, David Ross, Das, Vincent, Dauby, Nicolas, Dauger, Stéphane, De Munter, Paul, de Pontual, Loic, Dehban, Amin, Delplancq, Geoffroy, Demoule, Alexandre, Desguerre, Isabelle, Di Sabatino, Antonio, Diehl, Jean-Luc, Dobbelaere, Stephanie, Domínguez-Garrido, Elena, Dubost, Clément, Ekwall, Olov, Bozdemir, Şefika Elmas, Elnagdy, Marwa H, Emiroglu, Melike, Endo, Akifumi, Erdeniz, Emine Hafize, Aytekin, Selma Erol, Lasa, Maria Pilar Etxart, Euvrard, Romain, Fabio, Giovanna, Faivre, Laurence, Falck, Antonin, Fartoukh, Muriel, Faure, Morgane, Arquero, Miguel Fernandez, Ferrer, Ricard, Ferreres, Jose, Flores, Carlos, Francois, Bruno, Fumadó, Victoria, Fung, Kitty S C, Fusco, Francesca, Gagro, Alenka, Solis, Blanca Garcia, Gaussem, Pascale, Gayretli, Zeynep, Gil-Herrera, Juana, Gatineau, Audrey Giraud, Girona-Alarcón, Mònica, Cifuentes Godínez, Karen Alejandra, Goffard, Jean-Christophe, Gonzales, Nacho, Gonzalez-Granado, Luis I, González-Montelongo, Rafaela, Guerder, Antoine, Gülhan, Belgin, Gumucio, Victor Daniel, Hanitsch, Leif Gunnar, Gunst, Jan, Gut, Marta, Hadjadj, Jérôme, Hancerli, Selda, Hariyan, Tetyana, Hatipoglu, Nevin, Heppekcan, Deniz, Hernandez-Brito, Elisa, Ho, Po-ki, Holanda-Peña, María Soledad, Horcajada, Juan P, Hraiech, Sami, Humbert, Linda, Hung, Ivan F N, Iglesias, Alejandro D., Íñigo-Campos, Antonio, Jamme, Matthieu, Arranz, María Jesús, Jimeno, Marie-Thérèse, Jordan, Iolanda, Yüksek, Saliha Kanık, Kara, Yalcin Burak, Karahan, Aydın, Karbuz, Adem, Yasar, Kadriye Kart, Kasapcopur, Ozgur, Kashimada, Kenichi, Demirkol, Yasemin Kendir, Kido, Yasutoshi, Kizil, Can, Kılıç, Ahmet Osman, Koutsoukou, Antonia, Król, Zbigniew J., Ksouri, Hatem, Kuentz, Paul, Kwan, Arthur M C, Kwan, Yat Wah M, Kwok, Janette S Y, Lam, David S Y, Lampropoulou, Vicky, Lanternier, Fanny, Le Bourgeois, Fleur, Leo, Yee-Sin, Lopez, Rafael Leon, Levin, Michael, Levy, Michael, Lévy, Romain, Li, Zhi, Lilleri, Daniele, Lima, Edson Jose Adrian Bolanos, Linglart, Agnes, López-Collazo, Eduardo, Lorenzo-Salazar, José M., Louapre, Céline, Lubetzki, Catherine, Lung, Kwok-Cheung, Lye, David C, Magnone, Cinthia, Mansouri, Davood, Marchioni, Enrico, Marioli, Carola, Marjani, Majid, Marques, Laura, Pereira, Jesus Marquez, Martín-Nalda, Andrea, Pueyo, David Martínez, Marzana, Iciar, Mata-Martínez, Carmen, Mathian, Alexis, Matos, Larissa RB, Matthews, Gail V, Mayaux, Julien, McLaughlin-Garcia, Raquel, Meersseman, Philippe, Mège, Jean-Louis, Mekontso-Dessap, Armand, Melki, Isabelle, Meloni, Federica, Meritet, Jean-François, Merlani, Paolo, Akcan, Özge Metin, Mezidi, Mehdi, Migeotte, Isabelle, Millereux, Maude, Million, Matthieu, Mirault, Tristan, Mircher, Clotilde, Mirsaeidi, Mehdi, Mizoguchi, Yoko, Modi, Bhavi P, Mojoli, Francesco, Moncomble, Elsa, Melián, Abián Montesdeoca, Martinez, Antonio Morales, Morange, Pierre-Emmanuel, Mordacq, Clémence, Morelle, Guillaume, Mouly, Stéphane J, Muñoz-Barrera, Adrián, Nafati, Cyril, Nagashima, Shintaro, Nakagama, Yu, Neven, Bénédicte, Neves, João Farela, Ng, Lisa FP, Ng, Yuk-Yung, Nielly, Hubert, Medina, Yeray Novoa, Cuadros, Esmeralda Nuñez, Ocejo-Vinyals, J. Gonzalo, Okamoto, Keisuke, Oualha, Mehdi, Ouedrani, Amani, Özçelik, Tayfun, Ozkaya-Parlakay, Aslinur, Pagani, Michele, Papadaki, Maria, Parizot, Christophe, Parola, Philippe, Pascreau, Tiffany, Paz-Artal, Estela, Pedraza, Sigifredo, González Pellecer, Nancy Carolina, Pellegrini, Silvia, de Diego, Rebeca Pérez, Pérez-Fernández, Xosé Luis, Philippe, Aurélien, Picod, Adrien, de Chambrun, Marc Pineton, Piralla, Antonio, Planas-Serra, Laura, Ploin, Dominique, Poncelet, Géraldine, Poulakou, Garyphallia, Pouletty, Marie S, Pourshahnazari, Persia, Qiu-Chen, Jia Li, Quentric, Paul, Rambaud, Thomas, Raoult, Violette, Rebillat, Anne-Sophie, Redin, Claire, Resmini, Léa, Ricart, Pilar, Richard, Jean-Christophe, Rivet, Nadia, Rivière, Jacques G, Rocamora-Blanch, Gemma, Rodero, Mathieu P, Rodrigo, Carlos, Rodriguez, Luis Antonio, Rodriguez-Gallego, Carlos, Rodriguez-Palmero, Agustí, Romero, Carolina Soledad, Rothenbuhler, Anya, Roux, Damien, Rovina, Nikoletta, Rozenberg, Flore, Ruch, Yvon, Ruiz, Montse, Ruiz del Prado, Maria Yolanda, Ruiz-Rodriguez, Juan Carlos, Sabater-Riera, Joan, Saks, Kai, Salagianni, Maria, Sanchez, Oliver, Sánchez-Montalvá, Adrián, Sánchez-Ramón, Silvia, Schidlowski, Laire, Schluter, Agatha, Schmidt, Julien, Schmidt, Matthieu, Schuetz, Catharina, Schweitzer, Cyril E, Scolari, Francesco, Sediva, Anna, Seijo, Luis, Seminario, Analia Gisela, Seng, Piseth, Senoglu, Sevtap, Seppänen, Mikko, Llovich, Alex Serra, Shahrooei, Mohammad, Siguret, Virginie, Siouti, Eleni, Smadja, David M, Smith, Nikaia, Sobh, Ali, Soler, Catherine, Soler-Palacín, Pere, Sözeri, Betül, Stella, Giulia Maria, Stepanovskiy, Yuriy, Stoclin, Annabelle, Taccone, Fabio, Taupin, Jean-Luc, Tavernier, Simon J, Tello, Loreto Vidaur, Terrier, Benjamin, Thiery, Guillaume, Thorball, Christian, THORN, Karolina, Thumerelle, Caroline, Tipu, Imran, Tolstrup, Martin, Tomasoni, Gabriele, Toubiana, Julie, Alvarez, Josep Trenado, Troya, Jesús, Tsang, Owen T Y, Tserel, Liina, Tso, Eugene Y K, Tucci, Alessandra, Tüter Öz, Şadiye Kübra, Ursini, Matilde Valeria, Utsumi, Takanori, Uzunhan, Yurdagul, Vabres, Pierre, Valencia-Ramos, Juan, Van Den Rym, Ana Maria, Vandernoot, Isabelle, Velez-Santamaria, Valentina, Zuniga Veliz, Silvia Patricia, Vidigal, Mateus C, Viel, Sébastien, Vilain, Cédric, Vilaire-Meunier, Marie E, Villar-García, Judit, Vincent, Audrey, Vogt, Guillaume, Voiriot, Guillaume, Volokha, Alla, Vuotto, Fanny, Wauters, Els, Wu, Alan K L, Wu, Tak-Chiu, Yahşi, Aysun, Yesilbas, Osman, Yildiz, Mehmet, Young, Barnaby E, Yükselmiş, Ufuk, Zecca, Marco, Zuccaro, Valentina, Jens, Van Praet, Lambrecht, Bart N., Eva, Van Braeckel, Cédric, Bosteels, Levi, Hoste, Eric, Hoste, Bauters, Fré, De Clercq, Jozefien, Cathérine, Heijmans, Hans, Slabbynck, Leslie, Naesens, Florkin, Benoit, Boulanger, Cécile, Vanderlinden, Dimitri, Foti, Giuseppe, Bellani, Giacomo, Citerio, Giuseppe, Contro, Ernesto, Pesci, Alberto, Valsecchi, Maria Grazia, Cazzaniga, Marina, Danielson, Jeffrey J., Dobbs, Kerry, Kashyap, Anuj, Ding, Li, Dalgard, Clifton L., Sottini, Alessandra, Quaresima, Virginia, Quiros-Roldan, Eugenia, Rossi, Camillo, Bettini, Laura Rachele, D’Angio’, Mariella, Beretta, Ilaria, Montagna, Daniela, Licari, Amelia, Marseglia, Gian Luigi, Batten, Isabella, Reddy, Conor, McElheron, Matt, Noonan, Claire, Connolly, Emma, Fallon, Aoife, Storgaard, Merete, Jørgensen, Sofie, Erikstrup, Christian, Pedersen, Ole Birger, Sørensen, Erik, Mikkelsen, Susan, Dinh, Khoa Manh, Larsen, Margit Anita Hørup, Paulsen, Isabella Worlewenut, Von Stemann, Jakob Hjorth, Hansen, Morten Bagge, Townsend, Liam, Cheallaigh, Cliona Ni, Bergin, Colm, Martin-Loeches, Ignacio, Dunne, Jean, Conlon, Niall, Bourke, Nollaig, O'Farrelly, Cliona, Allavena, Clotilde, Andrejak, Claire, Angoulvant, François, Azoulay, Cecile, Bachelet, Delphine, Bartoli, Marie, Basmaci, Romain, Behilill, Sylvie, Beluze, Marine, Benech, Nicolas, Benkerrou, Dehbia, Bhavsar, Krishna, Bitker, Laurent, Bouadma, Lila, Bouscambert-Duchamp, Maude, Paz, Pauline Caraux, Cervantes-Gonzalez, Minerva, Chair, Anissa, Chirouze, Catherine, Coelho, Alexandra, Cordel, Hugues, Couffignal, Camille, Couffin-Cadiergues, Sandrine, d’Ortenzio, Eric, De Montmollin, Etienne, Debard, Alexa, Debray, Marie-Pierre, Deplanque, Dominique, Descamps, Diane, Desvallée, Mathilde, Diallo, Alpha, Diouf, Alphonsine, Dorival, Céline, Dubos, François, Eloy, Philippine, Enouf, Vincent, Epaulard, Olivier, Esperou, Hélène, Esposito-Farese, Marina, Etienne, Manuel, Garot, Denis, Gault, Nathalie, Gaymard, Alexandre, Ghosn, Jade, Gigante, Tristan, Gilg, Morgane, Goehringer, François, Guedj, Jérémie, Hoctin, Alexandre, Hoffmann, Isabelle, Houas, Ikram, Hulot, Jean-Sébastien, Jaafoura, Salma, Kafif, Ouifiya, Kaguelidou, Florentia, Kali, Sabrina, Kerroumi, Younes, Khalil, Antoine, Khan, Coralie, Kimmoun, Antoine, Laine, Fabrice, Laouénan, Cédric, Laribi, Samira, Le, Minh, Le Bris, Cyril, Le Gac, Sylvie, Le Hingrat, Quentin, Le Mestre, Soizic, Le Nagard, Hervé, Lemaignen, Adrien, Lemee, Véronique, Lescure, François-Xavier, Letrou, Sophie, Levy, Yves, Lina, Bruno, Lingas, Guillaume, Lucet, Jean Christophe, Machado, Moïse, Malvy, Denis, Mambert, Marina, Manuel, Aldric, Meziane, Amina, Mouquet, Hugo, Mullaert, Jimmy, Neant, Nadège, Nguyen, Duc, Noret, Marion, Papadopoulos, Aurélie, Paul, Christelle, Peiffer-Smadja, Nathan, Peigne, Vincent, Petrov-Sanchez, Ventzislava, Peytavin, Gilles, Pham, Huong, Picone, Olivier, Piquard, Valentine, Puéchal, Oriane, Rosa-Calatrava, Manuel, Rossignol, Bénédicte, Rossignol, Patrick, Roy, Carine, Schneider, Marion, Su, Richa, Tardivon, Coralie, Tellier, Marie-Capucine, Téoulé, François, Terrier, Olivier, Timsit, Jean-François, Tual, Christelle, Tubiana, Sarah, Van Der Werf, Sylvie, Vanel, Noémie, Veislinger, Aurélie, Visseaux, Benoit, Wiedemann, Aurélie, Yazdanpanah, Yazdan, Annereau, Jean-Philippe, Briseño-Roa, Luis, Gribouval, Olivier, Pelet, Anna, Alcover, Andres, Aschard, Hugues, Bousso, Philippe, Brodin, Petter, Bruhns, Pierre, Cerf-Bensussan, Nadine, Cumano, Ana, D’Enfert, Christophe, Deriano, Ludovic, Dillies, Marie-Agnès, Di Santo, James, Dromer, Françoise, Eberl, Gérard, Enninga, Jost, Gomperts-Boneca, Ivo, Hasan, Milena, Hedestam, Gunilla Karlsson, Hercberg, Serge, Ingersoll, Molly A, Lantz, Olivier, Kenny, Rose Anne, Ménager, Mickaël, Michel, Frédérique, Patin, Etienne, Pellegrini, Sandra, Rausell, Antonio, Rieux-Laucat, Frédéric, Rogge, Lars, Fontes, Magnus, Sakuntabhai, Anavaj, Schwartz, Olivier, Schwikowski, Benno, Shorte, Spencer, Tangy, Frédéric, Toubert, Antoine, Touvier, Mathilde, Ungeheuer, Marie-Noëlle, Zimmer, Christophe, Albert, Matthew L., Alavoine, Loubna, Behillil, Sylvie, Burdet, Charles, Charpentier, Charlotte, Dechanet, Aline, Ecobichon, Jean-Luc, Frezouls, Wahiba, Houhou, Nadhira, Lehacaut, Jonathan, Lucet, Jean-Christophe, Manchon, Pauline, Nouroudine, Mariama, Quintin, Caroline, Thy, Michael, van der Werf, Sylvie, Vignali, Valérie, Chahine, Abir, Waucquier, Nawal, Migaud, Maria-Claire, Djossou, Félix, Mergeay-Fabre, Mayka, Lucarelli, Aude, Demar, Magalie, Bruneau, Léa, Gérardin, Patrick, Maillot, Adrien, Payet, Christine, Laviolle, Bruno, Paris, Christophe, Desille-Dugast, Mireille, Fouchard, Julie, Pistone, Thierry, Perreau, Pauline, Gissot, Valérie, Le Goas, Carole, Montagne, Samatha, Richard, Lucie, Bouiller, Kévin, Desmarets, Maxime, Meunier, Alexandre, Lefévre, Benjamin, Jeulin, Hélène, Legrand, Karine, Lomazzi, Sandra, Tardy, Bernard, Gagneux-Brunon, Amandine, Bertholon, Frédérique, Botelho-Nevers, Elisabeth, Kouakam, Christelle, Leturque, Nicolas, Roufai, Layidé, Amat, Karine, Espérou, Hélène, Hendou, Samia, van Agtmael, Michiel, Algera, Anne Geke, Appelman, Brent, van Baarle, Frank, Bax, Diane, Beudel, Martijn, Bogaard, Harm Jan, Bomers, Marije, Bonta, Peter, Bos, Lieuwe, Botta, Michela, de Brabander, Justin, de Bree, Godelieve, de Bruin, Sanne, Buis, David T.P., Bugiani, Marianna, Bulle, Esther, Chouchane, Osoul, Cloherty, Alex, Dijkstra, Mirjam, Dongelmans, Dave A., Dujardin, Romein W.G., Elbers, Paul, Fleuren, Lucas, Geijtenbeek, Suzanne Geerlings Theo, Girbes, Armand, Goorhuis, Bram, Grobusch, Martin P., Hafkamp, Florianne, Hagens, Laura, Hamann, Jorg, Harris, Vanessa, Hemke, Robert, Hermans, Sabine M., Heunks, Leo, Hollmann, Markus, Horn, Janneke, Hovius, Joppe W., de Jong, Menno D., Lim, Endry H.T., van Mourik, Niels, Nellen, Jeaninne, Nossent, Esther J., Paulus, Frederique, Peters, Edgar, Pina-Fuentes, Dan A.I., van der Poll, Tom, Preckel, Bennedikt, Prins, Jan M., Raasveld, Jorinde, Reijnders, Tom, de Rotte, Maurits C.F.J., Schinkel, Michiel, Schultz, Marcus J., Schrauwen, Femke A.P., Schuurmans, Alex, Schuurmans, Jaap, Sigaloff, Kim, Slim, Marleen A., Smeele, Patrick, Smit, Marry, Stijnis, Cornelis S., Stilma, Willemke, Teunissen, Charlotte, Thoral, Patrick, Tsonas, Anissa M, Tuinman, Pieter R., van der Valk, Marc, Veelo, Denise, Volleman, Carolien, de Vries, Heder, Vught, Lonneke A., van Vugt, Michèle, Wouters, Dorien, Zwinderman, A. H (Koos, Brouwer, Matthijs C., Wiersinga, W. Joost, Vlaar, Alexander P.J., Al-Muhsen, Saleh, Al-Mulla, Fahd, Arias, Andrés A., Bogunovic, Dusan, Bolze, Alexandre, Bryceson, Yenan, Bustamante, Carlos D., Butte, Manish J., Chakravorty, Samya, Christodoulou, John, Constantinescu, Stefan N., Cooper, Megan A., Desai, Murkesh, Drolet, Beth A., El Baghdadi, Jamila, Espinosa-Padilla, Sara, Froidure, Antoine, Henrickson, Sarah E., Hsieh, Elena W.Y., Husebye, Eystein S., Imai, Kohsuke, Itan, Yuval, Jarvis, Erich D., Karamitros, Timokratis, Ku, Cheng-Lung, Ling, Yun, Lucas, Carrie L., Maniatis, Tom, Maródi, László, Milner, Joshua D., Mironska, Kristina, Ng, Lisa F.P., Novelli, Antonio, Novelli, Giuseppe, de Diego, Rebeca Perez, Renia, Laurent, Resnick, Igor, Sancho-Shimizu, Vanessa, Seppänen, Mikko R.J., Shahrooei, Mohammed, Slaby, Ondrej, Abou Tayoun, Ahmad, Ramaswamy, Sathishkumar, Turvey, Stuart E, Uddin, K M Furkan, Uddin, Mohammed J., von Bernuth, Horst, Zawadzki, Pawel, Nadif, Rachel, Goldberg, Marcel, Ozguler, Anna, Henny, Joseph, Lemonnier, Sylvie, Coeuret-Pellicer, Mireille, Le Got, Stéphane, Tzourio, Christophe, Dufouil, Carole, Soumaré, Aïcha, Lachaize, Morgane, Fievet, Nathalie, Flaig, Amandine, Martin, Fernando, Bonneaudeau, Brigitte, Cannet, Dorothée, Gallian, Pierre, Jeanne, Michel, Perroquin, Magali, Hamzeh-Cognasse, Hind, Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Groupe de recherche clinique CARMAS (Cardiovascular and Respiratory Manifestations of Acute lung injury and Sepsis) (CARMAS), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-CHU Henri Mondor [Créteil], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Hôpital Lariboisière-Fernand-Widal [APHP], Centre d’Infection et d’Immunité de Lille - INSERM U 1019 - UMR 9017 - UMR 8204 (CIIL), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Hôpital Roger Salengro [Lille], Etablissement Français du Sang [La Plaine Saint-Denis] (EFS), Interactions hôte-greffon-tumeur, ingénierie cellulaire et génique - UFC (UMR INSERM 1098) (RIGHT), Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS BFC)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Santé Ingénierie Biologie Saint-Etienne (SAINBIOSE), Centre Ingénierie et Santé (CIS-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Etablissement français du sang - Auvergne-Rhône-Alpes (EFS), Hospices Civils de Lyon (HCL), Centre International de Recherche en Infectiologie (CIRI), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Grand Hôpital de l'Est Francilien (GHEF), Microbes évolution phylogénie et infections (MEPHI), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Institut Hospitalier Universitaire Méditerranée Infection (IHU Marseille), Assistance Publique - Hôpitaux de Marseille (APHM), Centre d'études et de recherche sur les services de santé et la qualité de vie (CEReSS), Aix Marseille Université (AMU), Paris-Centre de Recherche Cardiovasculaire (PARCC (UMR_S 970/ U970)), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Recherche clinique appliquée à l'hématologie ((EA_3518)), Université Paris Diderot - Paris 7 (UPD7), Service de Réanimation Médicale et Toxicologique [Hôpital Lariboisière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut Necker Enfants-Malades (INEM - UM 111 (UMR 8253 / U1151)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Centre d'Investigation Clinique - Epidémiologie Clinique Saint-Etienne (CIC-EC), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Récepteurs Nucléaires, Maladies Métaboliques et Cardiovasculaires - U1011 (RNMCD), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Immunologie Translationnelle - Translational Immunology lab, Institut Pasteur [Paris] (IP), Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Collège de France - Chaire Génomique humaine et évolution, Collège de France (CdF (institution)), CHU Trousseau [Tours], Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Morphogénèse et antigénicité du VIH et du virus des Hépatites (MAVIVH - U1259 Inserm - CHRU Tours ), Centre Hospitalier Régional Universitaire de Tours (CHRU Tours)-Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Robert Ballanger [Aulnay-sous-Bois], Hôpital Edouard Herriot [CHU - HCL], Physiopathologie de l'immunodépression associée aux réponses inflammatoires systémiques / Pathophysiology of Injury-induced Immunosuppression (PI3), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Centre d'Immunologie et des Maladies Infectieuses (CIMI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Hôpital Jean Verdier [AP-HP], Centre de Recherche des Cordeliers (CRC (UMR_S_1138 / U1138)), École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Paris Cité (UPCité), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Unité des Virus Emergents (UVE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'investigation Clinique [CHU Bichat] - Épidémiologie clinique (CIC 1425), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, Cohortes épidémiologiques en population (CONSTANCES), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Université Paris Cité (UPCité), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Laboratoire de Chimie et de Biochimie Pharmacologiques et Toxicologiques (LCBPT - UMR 8601), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Agents infectieux, résistance et chimiothérapie - UR UPJV 4294 (AGIR ), Université de Picardie Jules Verne (UPJV)-CHU Amiens-Picardie, CHU Amiens-Picardie, French COVID cohort study group, Howard Hughes Medical Institute, Rockefeller University, European Commission, Jeffrey Modell Foundation, Université de Bordeaux, Meath Foundation, National Human Genome Research Institute, Agence Nationale de la Recherche, Fondation pour la Recherche Médicale, Fondation du Souffle, Instituto de Salud Carlos III, Institut National de la Santé et de la Recherche Médicale, St. Giles Foundation, Ministère des Solidarités et de la Santé, Sorbonne Université, Mutuelle Générale de l'Education Nationale, Conseil Régional Aquitaine, Conseil régional de Bourgogne-Franche-Comté, Meyer Foundation, Fondation de France, National Cancer Institute, European Regional Development Fund, Fundación DISA, Ministero della Salute, ANR-20-COVI-0003,GENCOVID,Identification des défauts monogéniques de l'immunité responsables des formes sévères de COVID-19 chez les patients précédemment en bonne santé(2020), ANR-20-CE93-0003,GENVIR,Analyse multi-omique de l'immunité anti-virale: de l'identification des circuits biologiques pertinents à la découverte de défauts monogéniques héréditaires de l'immunité chez les patients avec infections virales sévères(2020), ANR-20-CO11-0001,AABIFNCOV,Bases génétiques et immunologiques des auto-anticorps contre les interférons de type I prédisposant aux formes sévères de COVID-19.(2020), European Project: IdEx Bordeaux (ANR-10-IDEX- 003-02), Bastard, Paul, Gervais, Adrian, Le Voyer, Tom, Rosain, Jérémie, Philippot, Quentin, Manry, Jérémy, Michailidis, Eleftherio, Hoffmann, Hans-Heinrich, Eto, Shohei, Garcia-Prat, Marina, Bizien, Lucy, Parra-Martínez, Alba, Yang, Rui, Haljasmägi, Lii, Migaud, Mélanie, Särekannu, Karita, Maslovskaja, Julia, de Prost, Nicola, Tandjaoui-Lambiotte, Yacine, Luyt, Charles-Edouard, Amador-Borrero, Blanca, Gaudet, Alexandre, Poissy, Julien, Morel, Pascal, Richard, Pascale, Cognasse, Fabrice, Troya, Jesu, Trouillet-Assant, Sophie, Belot, Alexandre, Saker, Kahina, Garçon, Pierre, Rivière, Jacques G, Lagier, Jean-Christophe, Gentile, Stéphanie, Rosen, Lindsey B, Shaw, Elana, Morio, Tomohiro, Tanaka, Junko, Dalmau, David, Tharaux, Pierre-Loui, Sene, Damien, Stepanian, Alain, Megarbane, Bruno, Triantafyllia, Vasiliki, Fekkar, Arnaud, Heath, James R, Franco, José Lui, Anaya, Juan-Manuel, Solé-Violán, Jordi, Imberti, Luisa, Biondi, Andrea, Bonfanti, Paolo, Castagnoli, Riccardo, Delmonte, Ottavia M, Zhang, Yu, Snow, Andrew L, Holland, Steven M, Biggs, Catherine, Moncada-Vélez, Marcela, Arias, Andrés Augusto, Lorenzo, Lazaro, Boucherit, Soraya, Coulibaly, Boubacar, Anglicheau, Dany, Planas, Anna M, Haerynck, Filomeen, Duvlis, Sotirija, Nussbaum, Robert L, Ozcelik, Tayfun, Keles, Sevgi, Bousfiha, Ahmed A, El Bakkouri, Jalila, Ramirez-Santana, Carolina, Paul, Stéphane, Pan-Hammarström, Qiang, Hammarström, Lennart, Dupont, Annabelle, Kurolap, Alina, Metz, Christine N, Aiuti, Alessandro, Casari, Giorgio, Lampasona, Vito, Ciceri, Fabio, Barreiros, Lucila A, Dominguez-Garrido, Elena, Vidigal, Mateu, Zatz, Mayana, van de Beek, Diederik, Sahanic, Sabina, Tancevski, Ivan, Stepanovskyy, Yurii, Boyarchuk, Oksana, Nukui, Yoko, Tsumura, Miyuki, Vidaur, Loreto, Tangye, Stuart G, Burrel, Sonia, Duffy, Darragh, Quintana-Murci, Llui, Klocperk, Adam, Kann, Nelli Y, Shcherbina, Anna, Lau, Yu-Lung, Leung, Daniel, Coulongeat, Matthieu, Marlet, Julien, Koning, Rutger, Reyes, Luis Felipe, Chauvineau-Grenier, Angélique, Venet, Fabienne, Monneret, Guillaume, Nussenzweig, Michel C, Arrestier, Romain, Boudhabhay, Idri, Baris-Feldman, Hagit, Hagin, David, Wauters, Joost, Meyts, Isabelle, Dyer, Adam H, Kennelly, Sean P, Bourke, Nollaig M, Halwani, Rabih, Sharif-Askari, Narjes Saheb, Dorgham, Karim, Sallette, Jérome, Sedkaoui, Souad Mehlal, Alkhater, Suzan, Rigo-Bonnin, Raúl, Morandeira, Francisco, Roussel, Lucie, Vinh, Donald C, Ostrowski, Sisse Rye, Condino-Neto, Antonio, Prando, Carolina, Bonradenko, Anastasiia, Spaan, András N, Gilardin, Laurent, Fellay, Jacque, Lyonnet, Stanisla, Bilguvar, Kaya, Lifton, Richard P, Mane, Shrikant, Anderson, Mark S, Boisson, Bertrand, Béziat, Vivien, Zhang, Shen-Ying, Vandreakos, Evangelo, Hermine, Olivier, Pujol, Aurora, Peterson, Pärt, Mogensen, Trine H, Rowen, Lee, Mond, Jame, Debette, Stéphanie, de Lamballerie, Xavier, Duval, Xavier, Mentré, France, Zins, Marie, Soler-Palacin, Pere, Colobran, Roger, Gorochov, Guy, Solanich, Xavier, Susen, Sophie, Martinez-Picado, Javier, Raoult, Didier, Vasse, Marc, Gregersen, Peter K, Piemonti, Lorenzo, Rodríguez-Gallego, Carlo, Notarangelo, Luigi D, Su, Helen C, Kisand, Kai, Okada, Satoshi, Puel, Anne, Jouanguy, Emmanuelle, Rice, Charles M, Tiberghien, Pierre, Zhang, Qian, Cobat, Aurélie, Abel, Laurent, Casanova, Jean-Laurent, St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller University [New York], CHU Necker - Enfants Malades [AP-HP], Human genetics of infectious diseases : Mendelian predisposition (Equipe Inserm U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Hiroshima University, Vall d’Hebron Research Institute (VHIR), University of Tartu, Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), CHU Henri Mondor [Créteil], Service de Réanimation Médicale [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut Pasteur [Paris] (IP)-Université Paris Cité (UPCité), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Mycologie moléculaire - Molecular Mycology, Members of the The Milieu Intérieur Consortium: Laurent Abel1 , Andres Alcover2 , Hugues Aschard2 , Philippe Bousso2 , Nollaig Bourke3 , Petter Brodin4 , Pierre Bruhns2 , Nadine Cerf-Bensussan5 , Ana Cumano2 , Christophe D’Enfert2 , Ludovic Deriano2 , Marie-Agnès Dillies2 , James Di Santo2 , Françoise Dromer2 , Gérard Eberl2 , Jost Enninga2 , Jacques Fellay6 , Ivo Gomperts-Boneca2 , Milena Hasan2 , Gunilla Karlsson Hedestam4 , Serge Hercberg7 , Molly A. Ingersoll2 , Olivier Lantz8 , Rose Anne Kenny3 , Mickaël Ménager5 , Frédérique Michel2 , Hugo Mouquet2 , Cliona O’Farrelly3 , Etienne Patin2 , Sandra Pellegrini2 , Antonio Rausell5 , Frédéric Rieux-Laucat5 , Lars Rogge2 , Magnus Fontes9 , Anavaj Sakuntabhai2 , Olivier Schwartz2 , Benno Schwikowski2 , Spencer Shorte2 , Frédéric Tangy2 , Antoine Toubert10 , Mathilde Touvier12 , Marie-Noëlle Ungeheuer2 , Christophe Zimmer2 , Matthew L. Albert11 , Darragh Duffy2 , Lluis Quintana-Murc, ANR-10-LABX-0062,IBEID,Integrative Biology of Emerging Infectious Diseases(2010), European Project: 824110,H2020-INFRAIA-2018-1,EASI-Genomics(2019), European Project: 948959,ERC-2020-STG,MORE2ADA2(2021), National Institutes of Health (US), National Center for Advancing Translational Sciences (US), George Mason University, National Human Genome Research Institute (US), Agence Nationale de la Recherche (France), Institut National de la Santé et de la Recherche Médicale (France), Université de Paris, Ministère des Solidarités et de la Santé (France), National Health and Medical Research Council (Australia), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Cabildo de Tenerife, Fondation Bettencourt Schueller, Estonian Research Council, Michailidis, Eleftherios, García-Prat, Marina, Paul, Stephanie, Metz, Christine N., Barreiros, Lucila, Domínguez-Garrido, Elena, Vidigal, Mateus, Beek, Diederik van der, Stepanovskyy, Yuriy, Tangye, Stuart G., Quintana-Murci, Lluis, Kan, Nelli, Nussenzweig, Michel C., Baris, Hagit N., Dyer, Adam, Bourke, Nollaig, Vinh, Donald C., Spaan, András N., Fellay, Jacques, Mane, Shrikant M., Anderson, MarK S., Andreakos, Evangelos, Haljasmägi, Liis, Mogensen, Trine, Lamballerie, Xavier de, Soler-Palacín, Pere, Martínez-Picado, Javier, Gregersen, Peter K., Rodríguez-Gallego, Carlos, Notarangelo, Luigi D., Su, Helen C., Prost, Nicolas de, Amador-Borrero, Blanco, Troya, Jesús, Rivière, Jacques G., Gentile, Stephanie, Rosen, Lindsey B., Tharaux, Pierre-Louis, Stépanian, Alain, Mégarbane, Bruno, Heath, James R., Franco, José Luis, Anaya, Juan Manuel, Snow, Andrew L., Holland, Steven M., Biggs, Catherine M., Moncada-Velez, Marcela, Planas, Anna M., Nussbaum, Robert, Bousfiha, Ahmed Aziz, Ramírez-Santana, Carolina, Intensive care medicine, Internal medicine, AII - Infectious diseases, Pulmonary medicine, ACS - Pulmonary hypertension & thrombosis, Pathology, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Amsterdam Neuroscience - Complex Trait Genetics, ACS - Diabetes & metabolism, Amsterdam Cardiovascular Sciences, Radiology and nuclear medicine, AMS - Rehabilitation & Development, VU University medical center, Laboratory Medicine, Amsterdam Neuroscience - Neurodegeneration, Amsterdam Neuroscience - Neuroinfection & -inflammation, Anesthesiology, APH - Quality of Care, ACS - Heart failure & arrhythmias, Özçelik, Tayfun, Children's Hospital, HUS Children and Adolescents, Clinicum, Department of Medicine, Infektiosairauksien yksikkö, HUS Inflammation Center, Admin, Oskar, Identification des défauts monogéniques de l'immunité responsables des formes sévères de COVID-19 chez les patients précédemment en bonne santé - - GENCOVID2020 - ANR-20-COVI-0003 - COVID-19 - VALID, Analyse multi-omique de l'immunité anti-virale: de l'identification des circuits biologiques pertinents à la découverte de défauts monogéniques héréditaires de l'immunité chez les patients avec infections virales sévères - - GENVIR2020 - ANR-20-CE93-0003 - AAPG2020 - VALID, Bases génétiques et immunologiques des auto-anticorps contre les interférons de type I prédisposant aux formes sévères de COVID-19. - - AABIFNCOV2020 - ANR-20-CO11-0001 - COVID-19 - VALID, Program Initiative d’Excellence - IdEx Bordeaux (ANR-10-IDEX- 003-02) - INCOMING, CHU Tenon [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Henri Mondor, Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang [Bourgogne-Franche-Comté] (EFS [Bourgogne-Franche-Comté])-Université de Franche-Comté (UFC), INSERM U1059, SAINBIOSE - Santé, Ingénierie, Biologie, Saint-Etienne (SAINBIOSE-ENSMSE), Centre International de Recherche en Infectiologie - UMR (CIRI), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service de Parasitologie - Mycologie [CHU Pitié-Salpétrière], CIC Saint Etienne, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Nord (Saint Etienne), Récepteurs Nucléaires, Maladies Métaboliques et Cardiovasculaires (RNMCD - U1011), Physiopathologie de l'immunodépression associée aux réponses inflammatoires systémiques - EA 7426 (PI3), École pratique des hautes études (EPHE), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Neurology, ANS - Neuroinfection & -inflammation, Graduate School, Infectious diseases, Center of Experimental and Molecular Medicine, APH - Aging & Later Life, APH - Global Health, AII - Amsterdam institute for Infection and Immunity, APH - Health Behaviors & Chronic Diseases, Global Health, APH - Methodology, APH - Digital Health, APH - Personalized Medicine, ACS - Microcirculation, Bastard, P, Gervais, A, Le Voyer, T, Rosain, J, Philippot, Q, Manry, J, Michailidis, E, Hoffmann, H, Eto, S, Garcia-Prat, M, Bizien, L, Parra-Martínez, A, Yang, R, Haljasmägi, L, Migaud, M, Särekannu, K, Maslovskaja, J, de Prost, N, Tandjaoui-Lambiotte, Y, Luyt, C, Amador-Borrero, B, Gaudet, A, Poissy, J, Morel, P, Richard, P, Cognasse, F, Troya, J, Trouillet-Assant, S, Belot, A, Saker, K, Garçon, P, Rivière, J, Lagier, J, Gentile, S, Rosen, L, Shaw, E, Morio, T, Tanaka, J, Dalmau, D, Tharaux, P, Sene, D, Stepanian, A, Megarbane, B, Triantafyllia, V, Fekkar, A, Heath, J, Franco, J, Anaya, J, Solé-Violán, J, Imberti, L, Biondi, A, Bonfanti, P, Castagnoli, R, Delmonte, O, Zhang, Y, Snow, A, Holland, S, Biggs, C, Moncada-Vélez, M, Arias, A, Lorenzo, L, Boucherit, S, Coulibaly, B, Anglicheau, D, Planas, A, Haerynck, F, Duvlis, S, Nussbaum, R, Ozcelik, T, Keles, S, Bousfiha, A, El Bakkouri, J, Ramirez-Santana, C, Paul, S, Pan-Hammarström, Q, Hammarström, L, Dupont, A, Kurolap, A, Metz, C, Aiuti, A, Casari, G, Lampasona, V, Ciceri, F, Barreiros, L, Dominguez-Garrido, E, Vidigal, M, Zatz, M, van de Beek, D, Sahanic, S, Tancevski, I, Stepanovskyy, Y, Boyarchuk, O, Nukui, Y, Tsumura, M, Vidaur, L, Tangye, S, Burrel, S, Duffy, D, Quintana-Murci, L, Klocperk, A, Kann, N, Shcherbina, A, Lau, Y, Leung, D, Coulongeat, M, Marlet, J, Koning, R, Reyes, L, Chauvineau-Grenier, A, Venet, F, Monneret, G, Nussenzweig, M, Arrestier, R, Boudhabhay, I, Baris-Feldman, H, Hagin, D, Wauters, J, Meyts, I, Dyer, A, Kennelly, S, Bourke, N, Halwani, R, Sharif-Askari, N, Dorgham, K, Sallette, J, Sedkaoui, S, Alkhater, S, Rigo-Bonnin, R, Morandeira, F, Roussel, L, Vinh, D, Ostrowski, S, Condino-Neto, A, Prando, C, Bonradenko, A, Spaan, A, Gilardin, L, Fellay, J, Lyonnet, S, Bilguvar, K, Lifton, R, Mane, S, Anderson, M, Boisson, B, Béziat, V, Zhang, S, Vandreakos, E, Hermine, O, Pujol, A, Peterson, P, Mogensen, T, Rowen, L, Mond, J, Debette, S, de Lamballerie, X, Duval, X, Mentré, F, Zins, M, Soler-Palacin, P, Colobran, R, Gorochov, G, Solanich, X, Susen, S, Martinez-Picado, J, Raoult, D, Vasse, M, Gregersen, P, Piemonti, L, Rodríguez-Gallego, C, Notarangelo, L, Su, H, Kisand, K, Okada, S, Puel, A, Jouanguy, E, Rice, C, Tiberghien, P, Zhang, Q, Cobat, A, Abel, L, Casanova, J, Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Laboratory of Human Genetics of Infectious Diseases (Necker Branch - INSERM U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), HGID Lab, COVID Clinicians, COVID-STORM Clinicians, NIAID Immune Response to COVID Group, NH-COVAIR Study Group, Danish CHGE, Danish Blood Donor Study, St. James's Hospital, SARS CoV2 Interest group, French COVID Cohort Study Group, Imagine COVID-Group, Milieu Intérieur Consortium, CoV-Contact Cohort, Amsterdam UMC Covid-19, Biobank Investigators, COVID Human Genetic Effort, CONSTANCES cohort, 3C-Dijon Study, Cerba Health-Care, Etablissement du Sang study group, Bigio, B., Boucherit, S., de la Chapelle, A., Chen, J., Chrabieh, M., Coulibaly, B., Liu, D., Nemirowskaya, Y., Cruz, I.M., Materna, M., Pelet, S., Seeleuthner, Y., Thibault, C., Liu, Z., Abad, J., Accordino, G., Achille, C., Aguilera-Albesa, S., Aguiló-Cucurull, A., Aiuti, A., Özkan, E.A., Darazam, I.A., Roblero Albisures, J.A., Aldave, J.C., Ramos, M.A., Khan, T.A., Aliberti, A., Nadji, S.A., Alkan, G., Alkhater, S.A., Allardet-Servent, J., Allende, L.M., Alonso-Arias, R., Alshahrani, M.S., Alsina, L., Alyanakian, M.A., Borrero, B.A., Amoura, Z., Antolí, A., Arrestier, R., Aubart, M., Auguet, T., Avramenko, I., Aytekin, G., Azot, A., Bahram, S., Bajolle, F., Baldanti, F., Baldolli, A., Ballester, M., Feldman, H.B., Barrou, B., Barzagh, F., Basso, S., Bayhan, G.I., Belot, A., Bezrodnik, L., Bilbao, A., Blanchard-Rohner, G., Blanco, I., Blandinières, A., Blázquez-Gamero, D., Bleibtreu, A., Bloomfield, M., Bolivar-Prados, M., Bondarenko, A., Borghesi, A., Borie, R., Botdhlo-Nevers, E., Bousfiha, A.A., Bousquet, A., Boutolleau, D., Bouvattier, C., Boyarchuk, O., Bravais, J., Briones, M.L., Brunner, M.E., Bruno, R., Bueno, MRP, Bukhari, H., Bustamante, J., Cáceres Agra, J.J., Capra, R., Carapito, R., Carrabba, M., Casari, G., Casasnovas, C., Caseris, M., Cassaniti, I., Castelle, M., Castelli, F., de Vera, M.C., Castro, M.V., Catherinot, E., Celik, J.B., Ceschi, A., Chalumeau, M., Charbit, B., Cheng, M.P., Clavé, P., Clotet, B., Codina, A., Cohen, Y., Colobran, R., Comarmond, C., Combes, A., Comoli, P., Corsico, A.G., Coşkuner, T., Cvetkovski, A., Cyrus, C., Dalmau, D., Danion, F., Darley, D.R., Das, V., Dauby, N., Dauger, S., De Munter, P., de Pontual, L., Dehban, A., Delplancq, G., Demoule, A., Desguerre, I., Di Sabatino, A., Diehl, J.L., Dobbelaere, S., Domínguez-Garrido, E., Dubost, C., Ekwall, O., Bozdemir, Ş.E., Elnagdy, M.H., Emiroglu, M., Endo, A., Erdeniz, E.H., Aytekin, S.E., Lasa, MPE, Euvrard, R., Fabio, G., Faivre, L., Falck, A., Fartoukh, M., Faure, M., Arquero, M.F., Ferrer, R., Ferreres, J., Flores, C., Francois, B., Fumadó, V., Fung, KSC, Fusco, F., Gagro, A., Solis, B.G., Gaussem, P., Gayretli, Z., Gil-Herrera, J., Gilardin, L., Gatineau, A.G., Girona-Alarcón, M., Cifuentes Godínez, K.A., Goffard, J.C., Gonzales, N., Gonzalez-Granado, L.I., González-Montelongo, R., Guerder, A., Gülhan, B., Gumucio, V.D., Hanitsch, L.G., Gunst, J., Gut, M., Hadjadj, J., Haerynck, F., Halwani, R., Hammarström, L., Hancerli, S., Hariyan, T., Hatipoglu, N., Heppekcan, D., Hernandez-Brito, E., Ho, P.K., Holanda-Peña, M.S., Horcajada, J.P., Hraiech, S., Humbert, L., Hung, IFN, Iglesias, A.D., Íñigo-Campos, A., Jamme, M., Arranz, M.J., Jimeno, M.T., Jordan, I., Yüksek, S.K., Kara, Y.B., Karahan, A., Karbuz, A., Yasar, K.K., Kasapcopur, O., Kashimada, K., Keles, S., Demirkol, Y.K., Kido, Y., Kizil, C., Kılıç, A.O., Klocperk, A., Koutsoukou, A., Król, Z.J., Ksouri, H., Kuentz, P., Kwan, AMC, Kwan, YWM, Kwok, JSY, Lagier, J.C., Lam, DSY, Lampropoulou, V., Lanternier, F., Lau, Y.L., Le Bourgeois, F., Leo, Y.S., Lopez, R.L., Leung, D., Levin, M., Levy, M., Lévy, R., Li, Z., Lilleri, D., Lima, EJAB, Linglart, A., López-Collazo, E., Lorenzo-Salazar, J.M., Louapre, C., Lubetzki, C., Lung, K.C., Luyt, C.E., Lye, D.C., Magnone, C., Mansouri, D., Marchioni, E., Marioli, C., Marjani, M., Marques, L., Pereira, J.M., Martín-Nalda, A., Pueyo, D.M., Martinez-Picado, J., Marzana, I., Mata-Martínez, C., Mathian, A., Matos, L.R., Matthews, G.V., Mayaux, J., McLaughlin-Garcia, R., Meersseman, P., Mège, J.L., Mekontso-Dessap, A., Melki, I., Meloni, F., Meritet, J.F., Merlani, P., Akcan, Ö.M., Meyts, I., Mezidi, M., Migeotte, I., Millereux, M., Million, M., Mirault, T., Mircher, C., Mirsaeidi, M., Mizoguchi, Y., Modi, B.P., Mojoli, F., Moncomble, E., Melián, A.M., Martinez, A.M., Morandeira, F., Morange, P.E., Mordacq, C., Morelle, G., Mouly, S.J., Muñoz-Barrera, A., Nafati, C., Nagashima, S., Nakagama, Y., Neven, B., Neves, J.F., Ng, L.F., Ng, Y.Y., Nielly, H., Medina, Y.N., Cuadros, E.N., Ocejo-Vinyals, J.G., Okamoto, K., Oualha, M., Ouedrani, A., Özçelik, T., Ozkaya-Parlakay, A., Pagani, M., Pan-Hammarström, Q., Papadaki, M., Parizot, C., Parola, P., Pascreau, T., Paul, S., Paz-Artal, E., Pedraza, S., González Pellecer, N.C., Pellegrini, S., de Diego, R.P., Pérez-Fernández, X.L., Philippe, A., Philippot, Q., Picod, A., de Chambrun, M.P., Piralla, A., Planas-Serra, L., Ploin, D., Poissy, J., Poncelet, G., Poulakou, G., Pouletty, M.S., Pourshahnazari, P., Qiu-Chen, J.L., Quentric, P., Rambaud, T., Raoult, D., Raoult, V., Rebillat, A.S., Redin, C., Resmini, L., Ricart, P., Richard, J.C., Rigo-Bonnin, R., Rivet, N., Rivière, J.G., Rocamora-Blanch, G., Rodero, M.P., Rodrigo, C., Rodriguez, L.A., Rodriguez-Gallego, C., Rodriguez-Palmero, A., Romero, C.S., Rothenbuhler, A., Roux, D., Rovina, N., Rozenberg, F., Ruch, Y., Ruiz, M., Ruiz Del Prado, M.Y., Ruiz-Rodriguez, J.C., Sabater-Riera, J., Saks, K., Salagianni, M., Sanchez, O., Sánchez-Montalvá, A., Sánchez-Ramón, S., Schidlowski, L., Schluter, A., Schmidt, J., Schmidt, M., Schuetz, C., Schweitzer, C.E., Scolari, F., Sediva, A., Seijo, L., Seminario, A.G., Sene, D., Seng, P., Senoglu, S., Seppänen, M., Llovich, A.S., Shahrooei, M., Shcherbina, A., Siguret, V., Siouti, E., Smadja, D.M., Smith, N., Sobh, A., Solanich, X., Solé-Violán, J., Soler, C., Soler-Palacín, P., Sözeri, B., Stella, G.M., Stepanovskiy, Y., Stoclin, A., Taccone, F., Tandjaoui-Lambiotte, Y., Taupin, J.L., Tavernier, S.J., Tello, L.V., Terrier, B., Thiery, G., Thorball, C., Thorn, K., Thumerelle, C., Tipu, I., Tolstrup, M., Tomasoni, G., Toubiana, J., Alvarez, J.T., Triantafyllia, V., Trouillet-Assant, S., Troya, J., Tsang, OTY, Tserel, L., Tso, EYK, Tucci, A., Tüter Öz, Ş.K., Ursini, M.V., Utsumi, T., Uzunhan, Y., Vabres, P., Valencia-Ramos, J., Van Den Rym, A.M., Vandernoot, I., Velez-Santamaria, V., Zuniga Veliz, S.P., Vidigal, M.C., Viel, S., Vilain, C., Vilaire-Meunier, M.E., Villar-García, J., Vincent, A., Vogt, G., Voiriot, G., Volokha, A., Vuotto, F., Wauters, E., Wauters, J., Wu, AKL, Wu, T.C., Yahşi, A., Yesilbas, O., Yildiz, M., Young, B.E., Yükselmiş, U., Zatz, M., Zecca, M., Zuccaro, V., Jens, V.P., Lambrecht, B.N., Eva, V.B., Cédric, B., Levi, H., Eric, H., Bauters, F., De Clercq, J., Cathérine, H., Hans, S., Leslie, N., Florkin, B., Boulanger, C., Vanderlinden, D., Foti, G., Bellani, G., Citerio, G., Contro, E., Pesci, A., Valsecchi, M.G., Cazzaniga, M., Danielson, J.J., Dobbs, K., Kashyap, A., Ding, L., Dalgard, C.L., Sottini, A., Quaresima, V., Quiros-Roldan, E., Rossi, C., Bettini, L.R., D'Angio', M., Beretta, I., Montagna, D., Licari, A., Marseglia, G.L., Batten, I., Reddy, C., McElheron, M., Noonan, C., Connolly, E., Fallon, A., Storgaard, M., Jørgensen, S., Erikstrup, C., Pedersen, O.B., Sørensen, E., Mikkelsen, S., Dinh, K.M., Larsen, MAH, Paulsen, I.W., Von Stemann, J.H., Hansen, M.B., Ostrowski, S.R., Townsend, L., Cheallaigh, C.N., Bergin, C., Martin-Loeches, I., Dunne, J., Conlon, N., Bourke, N., O'Farrelly, C., Abel, L., Allavena, C., Andrejak, C., Angoulvant, F., Azoulay, C., Bachelet, D., Bartoli, M., Basmaci, R., Behilill, S., Beluze, M., Benech, N., Benkerrou, D., Bhavsar, K., Bitker, L., Bouadma, L., Bouscambert-Duchamp, M., Paz, P.C., Cervantes-Gonzalez, M., Chair, A., Chirouze, C., Coelho, A., Cordel, H., Couffignal, C., Couffin-Cadiergues, S., d'Ortenzio, E., De Montmollin, E., Debard, A., Debray, M.P., Deplanque, D., Descamps, D., Desvallée, M., Diallo, A., Diouf, A., Dorival, C., Dubos, F., Duval, X., Eloy, P., Enouf, V., Epaulard, O., Esperou, H., Esposito-Farese, M., Etienne, M., Garot, D., Gault, N., Gaymard, A., Ghosn, J., Gigante, T., Gilg, M., Goehringer, F., Guedj, J., Hoctin, A., Hoffmann, I., Houas, I., Hulot, J.S., Jaafoura, S., Kafif, O., Kaguelidou, F., Kali, S., Kerroumi, Y., Khalil, A., Khan, C., Kimmoun, A., Laine, F., Laouénan, C., Laribi, S., Le, M., Le Bris, C., Le Gac, S., Le Hingrat, Q., Le Mestre, S., Le Nagard, H., Lemaignen, A., Lemee, V., Lescure, F.X., Letrou, S., Levy, Y., Lina, B., Lingas, G., Lucet, J.C., Machado, M., Malvy, D., Mambert, M., Manuel, A., Mentré, F., Meziane, A., Mouquet, H., Mullaert, J., Neant, N., Nguyen, D., Noret, M., Papadopoulos, A., Paul, C., Peiffer-Smadja, N., Peigne, V., Petrov-Sanchez, V., Peytavin, G., Pham, H., Picone, O., Piquard, V., Puéchal, O., Rosa-Calatrava, M., Rossignol, B., Rossignol, P., Roy, C., Schneider, M., Su, R., Tardivon, C., Tellier, M.C., Téoulé, F., Terrier, O., Timsit, J.F., Tual, C., Tubiana, S., Van Der Werf, S., Vanel, N., Veislinger, A., Visseaux, B., Wiedemann, A., Yazdanpanah, Y., Annereau, J.P., Briseño-Roa, L., Gribouval, O., Pelet, A., Alcover, A., Aschard, H., Bousso, P., Brodin, P., Bruhns, P., Cerf-Bensussan, N., Cumano, A., D'Enfert, C., Deriano, L., Dillies, M.A., Di Santo, J., Dromer, F., Eberl, G., Enninga, J., Fellay, J., Gomperts-Boneca, I., Hasan, M., Hedestam, G.K., Hercberg, S., Ingersoll, M.A., Lantz, O., Kenny, R.A., Ménager, M., Michel, F., Patin, E., Rausell, A., Rieux-Laucat, F., Rogge, L., Fontes, M., Sakuntabhai, A., Schwartz, O., Schwikowski, B., Shorte, S., Tangy, F., Toubert, A., Touvier, M., Ungeheuer, M.N., Zimmer, C., Albert, M.L., Duffy, D., Quintana-Murci, L., Alavoine, L., Behillil, S., Burdet, C., Charpentier, C., Dechanet, A., Ecobichon, J.L., Frezouls, W., Houhou, N., Lehacaut, J., Manchon, P., Nouroudine, M., Quintin, C., Thy, M., van der Werf, S., Vignali, V., Chahine, A., Waucquier, N., Migaud, M.C., Djossou, F., Mergeay-Fabre, M., Lucarelli, A., Demar, M., Bruneau, L., Gérardin, P., Maillot, A., Payet, C., Laviolle, B., Paris, C., Desille-Dugast, M., Fouchard, J., Pistone, T., Perreau, P., Gissot, V., Le Goas, C., Montagne, S., Richard, L., Bouiller, K., Desmarets, M., Meunier, A., Lefévre, B., Jeulin, H., Legrand, K., Lomazzi, S., Tardy, B., Gagneux-Brunon, A., Bertholon, F., Botelho-Nevers, E., Kouakam, C., Leturque, N., Roufai, L., Amat, K., Espérou, H., Hendou, S., van Agtmael, M., Algera, A.G., Appelman, B., van Baarle, F., Bax, D., Beudel, M., Bogaard, H.J., Bomers, M., Bonta, P., Bos, L., Botta, M., de Brabander, J., de Bree, G., de Bruin, S., Buis, DTP, Bugiani, M., Bulle, E., Chouchane, O., Cloherty, A., Dijkstra, M., Dongelmans, D.A., Dujardin, RWG, Elbers, P., Fleuren, L., Geijtenbeek, SGT, Girbes, A., Goorhuis, B., Grobusch, M.P., Hafkamp, F., Hagens, L., Hamann, J., Harris, V., Hemke, R., Hermans, S.M., Heunks, L., Hollmann, M., Horn, J., Hovius, J.W., de Jong, M.D., Koning, R., Lim, EHT, van Mourik, N., Nellen, J., Nossent, E.J., Paulus, F., Peters, E., Pina-Fuentes, DAI, van der Poll, T., Preckel, 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Hans-Heinrich [0000-0003-0554-0244], Eto, Shohei [0000-0002-2885-7490], García-Prat, Marina [0000-0001-5387-1908], Bizien, Lucy [0000-0001-9163-9122], Parra-Martínez, Alba [0000-0002-9564-8912], Dorgham, Karim [0000-0001-9539-3203], Alkhater, Suzan [0000-0001-7315-6581], Rigo-Bonnin, Raúl [0000-0001-5511-074X], Roussel, Lucie [0000-0001-5355-702X], Vinh, Donald C. [0000-0003-1347-7767], Ostrowski, Sisse Rye [0000-0001-5288-3851], Condino-Neto, Antonio [0000-0002-1069-3117], Prando, Carolina [0000-0002-9570-9770], Spaan, András N. [0000-0001-5981-7259], Gilardin, Laurent [0000-0001-9212-0859], Yang, Rui [0000-0003-4427-2158], Fellay, Jacques [0000-0002-8240-939X], Bilguvar, Kaya [0000-0002-7313-7652], Mane, Shrikant M. [0000-0002-3267-5139], Anderson, MarK S. [0000-0002-3093-4758], Boisson, Bertrand [0000-0001-5240-3555], Béziat, Vivien [0000-0002-4020-824X], Andreakos, Evangelos [0000-0001-5536-1661], Hermine, Olivier [0000-0003-2574-3874], Pujol, Aurora [0000-0002-9606-0600], Peterson, Pärt [0000-0001-6755-791X], Haljasmägi, Liis [0000-0001-7162-9808], Mogensen, Trine [0000-0002-1853-9704], Lamballerie, Xavier de [0000-0001-7895-2720], Zins, Marie [0000-0002-4540-4282], Soler-Palacín, Pere [0000-0002-0346-5570], Colobran, Roger [0000-0002-5964-536X], Gorochov, Guy [0000-0003-2097-9677], Solanich, Xavier [0000-0002-2572-2187], Susen, Sophie [0000-0001-5953-163X], Martínez-Picado, Javier [0000-0002-4916-2129], Gregersen, Peter K. [0000-0003-1613-1518], Migaud, Mélanie [0000-0003-3062-1214], Piemonti, Lorenzo [0000-0002-2172-2198], Rodríguez-Gallego, Carlos [0000-0002-4344-8644], Notarangelo, Luigi D. [0000-0002-8335-0262], Su, Helen C. [0000-0002-5582-9110], Kisand, Kai [0000-0002-5426-4648], Okada, Satoshi [0000-0002-4622-5657], Puel, Anne [0000-0003-2603-0323], Jouanguy, Emmanuelle [0000-0002-7358-9157], Tiberghien, Pierre [0000-0002-9310-8322], Zhang, Qian [0000-0002-9040-3289], Särekannu, Karita [0000-0002-5984-668X], Cobat, Aurélie [0000-0001-7209-6257], Abel, Laurent [0000-0001-7016-6493], Casanova, Jean-Laurent [0000-0002-7782-4169], Prost, Nicolas de [0000-0002-4833-4320], Tandjaoui-Lambiotte, Yacine [0000-0003-1123-4788], Luyt, Charles-Edouard [0000-0001-7424-2705], Amador-Borrero, Blanco [0000-0001-6170-8721], Poissy, Julien [0000-0001-6017-5353], Richard, Pascale [0000-0003-1864-3824], Cognasse, Fabrice [0000-0001-8041-928X], Troya, Jesús [0000-0001-7323-114X], Trouillet-Assant, Sophie [0000-0001-6439-4705], Belot, Alexandre [0000-0003-4902-5332], Saker, Kahina [0000-0001-8825-5400], Rivière, Jacques G. [0000-0003-1055-2063], Gentile, Stephanie [0000-0003-3858-9503], Rosen, Lindsey B. [0000-0001-5894-3878], Shaw, Elana [0000-0001-9265-8026], Dalmau, David [0000-0003-1936-478X], Tharaux, Pierre-Louis [0000-0002-6062-5905], Stépanian, Alain [0000-0002-2942-0901], Mégarbane, Bruno [0000-0002-2522-2764], Triantafyllia, Vasiliki [0000-0001-5832-4014], Fekkar, Arnaud [0000-0001-9954-075X], Heath, James R. [0000-0001-5356-4385], Franco, José Luis [0000-0001-5664-6415], Anaya, Juan Manuel [0000-0002-6444-1249], Imberti, Luisa[0000-0002-2075-8391], Bonfanti, Paolo [0000-0001-7289-8823], Castagnoli, Riccardo [0000-0003-0029-9383], Snow, Andrew L. [0000-0002-8728-6691], Holland, Steven M. [0000-0003-3207-5464], Biggs, Catherine M. [0000-0002-4363-2660], Moncada-Velez, Marcela [0000-0002-3073-5345], Arias, Andrés Augusto [0000-0002-9478-8403], Lorenzo, Lazaro [0000-0001-6648-8684], Boucherit, Soraya [0000-0002-8819-7594], Anglicheau, Dany [0000-0001-5793-6174], Planas, Anna M. [0000-0002-6147-1880], Haerynck, Filomeen [0000-0001-9161-7361], Duvlis, Sotirija [0000-0001-8587-7386], Nussbaum, Robert [0000-0003-3445-8880], Bousfiha, Ahmed Aziz [0000-0002-5011-9873], El Bakkouri, Jalila [0000-0003-2303-3369], Ramírez-Santana, Carolina [0000-0003-2137-4899], Paul, Stephanie [0000-0002-8830-4273], Pan-Hammarström, Qiang [0000-0003-1990-8804], Hammarström, Lennart [0000-0002-8635-9609], Dupont, Annabelle [0000-0002-1554-9931], Kurolap, Alina [0000-0002-7005-3621], Metz, Christine N. [0000-0002-1013-1691], Aiuti, Alessandro [0000-0002-5398-1717], Casari, Giorgio [0000-0002-0115-8980], Lampasona, Vito [0000-0001-5162-8445], Ciceri, Fabio [0000-0003-0873-0123], Barreiros, Lucila [0000-0002-9818-2345], Domínguez-Garrido, Elena [0000-0002-2066-0511], Vidigal, Mateus [0000-0002-8895-652X], Zatz, Mayana [0000-0003-3970-8025], Beek, Diederik van der [0000-0002-4571-044X], Stepanovskyy, Yuriy [0000-0001-6339-5490], Boyarchuk, Oksana [0000-0002-1234-0040], Nukui, Yoko [0000-0002-6123-5212], Vidaur, Loreto [0000-0002-6720-4900], Tangye, Stuart G. [0000-0002-5360-5180], Burrel, Sonia [0000-0002-7783-2601], Duffy, Darragh [0000-0002-8875-2308], Quintana-Murci, Lluis [0000-0003-2429-6320], Klocperk, Adam [0000-0002-1526-4557], Kan, Nelli [0000-0003-3564-6496], Shcherbina, Anna [0000-0002-3113-4939], Lau, Yu-Lung [0000-0002-4780-0289], Leung, Daniel [0000-0002-9360-6233], Coulongeat, Matthieu [0000-0003-1986-3546], Marlet, Julien [0000-0002-8645-8703], Koning, Rutger [0000-0003-3128-5072], Reyes, Luis Felipe [0000-0003-1172-6539], Venet, Fabienne [0000-0003-0462-4235], Monneret, Guillaume [0000-0002-9961-5739], Nussenzweig, Michel C. [0000-0003-0592-8564], Baris, Hagit N. [0000-0003-4065-7560], Hagin, David [0000-0003-2702-1031], Wauters, Joost [0000-0002-5983-3897], Meyts, Isabelle [0000-0003-1214-0302], Dyer, Adam [0000-0003-1356-510X], Bourke, Nollaig [0000-0003-4313-6859], Halwani, Rabih [0000-0002-6516-7771], and Sharif-Askari, Narjes Saheb [0000-0003-0482-6777]
Subjects: Interferon Type I/immunology, AUTOIMMUNITY, [SDV]Life Sciences [q-bio], Interferó, Gastroenterology, COVID-19 (Malaltia), Immunoglobulin G, Basic medicine, 0302 clinical medicine, Medicine and Health Sciences, 80 and over, Immunologia, Young adult, Child, Neutralizing, MYASTHENIA-GRAVIS PATIENTS, ComputingMilieux_MISCELLANEOUS, Aged, 80 and over, 0303 health sciences, education.field_of_study, biology, General Medicine, Middle Aged, 3. Good health, COVID-19/immunology, Settore MED/03, 030220 oncology & carcinogenesis, Child, Preschool, Interferon Type I, Antibody, medicine.symptom, INTERFERON, Adult, medicine.medical_specialty, Adolescent, Critical Illness, Immunology, Population, Aged, Antibodies, Neutralizing, Autoantibodies, COVID-19, Case-Control Studies, Humans, Infant, Infant, Newborn, Interferon-alpha, Young Adult, Alpha interferon, Immunoglobulins, IMMUNITY, Asymptomatic, PATIENT, 03 medical and health sciences, Internal medicine, medicine, Preschool, education, Antibodies, Neutralizing/blood, HOMENS, 030304 developmental biology, ANTINUCLEAR, business.industry, Autoantibody, Case-control study, Antibodies, Neutralizing/immunology, Autoantibodies/blood, Autoantibodies/immunology, COVID-19/mortality, Immunoglobulin G/blood, Immunoglobulin G/immunology, Interferon-alpha/immunology, Newborn, DISTINCT FUNCTIONS, ALPHA, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, 3121 General medicine, internal medicine and other clinical medicine, ANTIBODIES, biology.protein, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business, Immunoglobulines
Abstract: Circulating autoantibodies (auto-Abs) neutralizing high concentrations (10 ng/ml; in plasma diluted 1:10) of IFN-α and/or IFN-ω are found in about 10% of patients with critical COVID-19 (coronavirus disease 2019) pneumonia but not in individuals with asymptomatic infections. We detect auto-Abs neutralizing 100-fold lower, more physiological, concentrations of IFN-α and/or IFN-ω (100 pg/ml; in 1:10 dilutions of plasma) in 13.6% of 3595 patients with critical COVID-19, including 21% of 374 patients >80 years, and 6.5% of 522 patients with severe COVID-19. These antibodies are also detected in 18% of the 1124 deceased patients (aged 20 days to 99 years; mean: 70 years). Moreover, another 1.3% of patients with critical COVID-19 and 0.9% of the deceased patients have auto-Abs neutralizing high concentrations of IFN-β. We also show, in a sample of 34,159 uninfected individuals from the general population, that auto-Abs neutralizing high concentrations of IFN-α and/or IFN-ω are present in 0.18% of individuals between 18 and 69 years, 1.1% between 70 and 79 years, and 3.4% >80 years. Moreover, the proportion of individuals carrying auto-Abs neutralizing lower concentrations is greater in a subsample of 10,778 uninfected individuals: 1% of individuals 80 years. By contrast, auto-Abs neutralizing IFN-β do not become more frequent with age. Auto-Abs neutralizing type I IFNs predate SARS-CoV-2 infection and sharply increase in prevalence after the age of 70 years. They account for about 20% of both critical COVID-19 cases in the over 80s and total fatal COVID-19 cases., The Laboratory of Human Genetics of Infectious Diseases is supported by the Howard Hughes Medical Institute, the Rockefeller University, the St. Giles Foundation, the National Institutes of Health (NIH) (R01AI088364), the National Center for Advancing Translational Sciences (NCATS), NIH Clinical and Translational Science Awards (CTSA) program (UL1 TR001866), a Fast Grant from Emergent Ventures, Mercatus Center at George Mason University, the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956), the Yale High Performance Computing Center (S10OD018521), the Fisher Center for Alzheimer’s Research Foundation, the Meyer Foundation, the JPB Foundation, the French National Research Agency (ANR) under the “Investments for the Future” program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the French Foundation for Medical Research (FRM) (EQU201903007798), the FRM and ANR GENCOVID project (ANR-20-COVI-0003), ANRS Nord-Sud (ANRS-COV05), ANR GENVIR (ANR-20-CE93-003) and ANR AABIFNCOV (ANR-20-CO11-0001) projects, the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824110 (EASI-Genomics), the Square Foundation, Grandir–Fonds de solidarité pour l’Enfance, the Fondation du Souffle, the SCOR Corporate Foundation for Science, Institut National de la Santé et de la Recherche Médicale (INSERM), REACTing-INSERM; and the University of Paris. P.B. was supported by the FRM (EA20170638020). P.B., J.R., and T.L.V. were supported by the MD-PhD program of the Imagine Institute (with the support of the Fondation Bettencourt Schueller). Work in the Laboratory of Virology and Infectious Disease was supported by the NIH (P01AI138398-S1, 2U19AI111825, and R01AI091707-10S1), a George Mason University Fast Grant, and the G. Harold and Leila Y. Mathers Charitable Foundation. The French COVID Cohort study group was sponsored by INSERM and supported by the REACTing consortium and by a grant from the French Ministry of Health (PHRC 20-0424). The Cov-Contact Cohort was supported by the REACTing consortium, the French Ministry of Health, and the European Commission (RECOVER WP 6). This work was also partly supported by the Intramural Research Program of the NIAID and NIDCR, NIH (grants ZIA AI001270 to L.D.N. and 1ZIAAI001265 to H.C.S.). This program is supported by the Agence Nationale de la Recherche (reference ANR-10-LABX-69-01). K.K.’s group was supported by the Estonian Research Council grants PRG117 and PRG377. R.H. was supported by an Al Jalila Foundation Seed Grant (AJF202019), Dubai, UAE, and a COVID-19 research grant (CoV19-0307) from the University of Sharjah, UAE. S.G.T. is supported by Investigator and Program Grants awarded by the National Health and Medical Research Council of Australia and a UNSW Sydney COVID Rapid Response Initiative Grant. L.I. reported funding from Regione Lombardia, Italy (project “Risposta immune in pazienti con COVID-19 e co-morbidità”). L.I. and G. L. Marseglia reported funding from Regione Lombardia, Italy (project Risposta immune in pazienti con COVID-19 e co-morbidità). This research was partially supported by the Instituto de Salud Carlos III (COV20/0968). J.R.H. reported funding from Biomedical Advanced Research and Development Authority HHSO10201600031C. S.O. reports funding Research Program on Emerging and Re-emerging Infectious Diseases from Japan Agency for Medical Research and Development, AMED (grant number JP20fk0108531). G.G. was supported by ANR Flash COVID-19 program and SARS-CoV-2 Program of the Faculty of Medicine from Sorbonne University iCOVID programs. The Three-City (3C) Study was conducted under a partnership agreement among the INSERM, the Victor Segalen Bordeaux 2 University, and Sanofi-Aventis. The Fondation pour la Recherche Médicale funded the preparation and initiation of the study. The 3C Study was also supported by the Caisse Nationale d’Assurance Maladie des Travailleurs Salariés, Direction générale de la Santé, Mutuelle Générale de l’Education Nationale (MGEN), Institut de la Longévité, Conseils Régionaux of Aquitaine and Bourgogne, Fondation de France, and Ministry of Research–INSERM Programme “Cohortes et collections de données biologiques”. S. Debette was supported by the University of Bordeaux Initiative of Excellence. P.K.G. reports funding from the National Cancer Institute, NIH, under contract no. 75N91019D00024, task order no. 75N91021F00001. J.W. is supported by an FWO Fundamental Clinical Mandate (1833317N). Sample processing at IrsiCaixa was possible thanks to the crowdfunding initiative YoMeCorono. Work at Vall d’Hebron was also partly supported by research funding from Instituto de Salud Carlos III grant PI17/00660 cofinanced by the European Regional Development Fund (ERDF). C.R.-G. and colleagues of the Canarian Health System Sequencing Hub were supported by the Instituto de Salud Carlos III (COV20_01333 and COV20_01334, Spanish Ministry for Science and Innovation RTC-2017-6471-1; AEI/FEDER, UE), Fundación DISA (OA18/017 and OA20/024), and Cabildo Insular de Tenerife (CGIEU0000219140 and “Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19”). C.M.B. is supported by a MSFHR Health Professional-Investigator Award. P.Q.H. and L.H. were funded by the European Union’s Horizon 2020 research and innovation program (ATAC, 101003650). Work at Y.-L.L.’s laboratory in the University of Hong Kong (HKU) was supported by the Society for the Relief of Disabled Children. MBBS/PhD study of D.L. in HKU was supported by the Croucher Foundation. J.L.F. was supported in part by the Coopération Scientifique France-Colciencias (ECOS-Nord/COLCIENCIAS/MEN/ICETEX (806-2018) and Colciencias contract 713-2016 (code 111574455633)]. A.K. was in part supported by grants NU20-05-00282 and NV18-05-00162 issued by the Czech Health Research Council and Ministry of Health, Czech Republic. L.P. was funded by Program Project COVID-19 OSR-UniSR and Ministero della Salute (COVID-2020-12371617). I.M. is a Senior Clinical Investigator at the Research Foundation–Flanders and is supported by the CSL Behring Chair of Primary Immunodeficiencies; by the KU Leuven C1 grant C16/18/007; by a VIB-GC PID grant; by the FWO frants G0C8517N, G0B5120N, and G0E8420N; and by the Jeffrey Modell Foundation. I.M. has received funding under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 948959). E.A. received funding from the Hellenic Foundation for Research and Innovation (INTERFLU, no. 1574). M.Vi received funding from the São Paulo Research Foundation (FAPESP) (grant number 2020/09702-1) and JBS SA (grant number 69004). The NH-COVAIR study group consortium was supported by a grant from the Meath Foundation
Published: 2021
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7. Deciphering the state of immune silence in fatal COVID-19 patients

Author: Federica Facciotti, Francesco De Sanctis, Alessandra Fiore, Cristina Anselmi, Evelina Tacconelli, Rosalinda Trovato, Davide Gibellini, Pasquale De Nardo, Stefano Ugel, Pierre Bost, Simone Caligola, Leonardo Gottin, Roza Maria Barouni, Ido Amit, Enrico Polati, Alessia Lamolinara, Katia Donadello, Monica Castellucci, David Eyal, Annarita Mazzariol, Stefania Canè, Benno Schwikowski, Manuela Iezzi, Vincenzo Bronte, Biologie systémique - Systems Biology, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Weizmann Institute of Science [Rehovot, Israël], University and Hospital Trust of Verona, Università degli studi di Verona = University of Verona (UNIVR), University of G. D Annunzio of Chieti-Pescara [Chieti, Italy], European Institute of Oncology IRCCS [Milan, Italy] (EIO), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), University of Verona (UNIVR), Bost, P, De Sanctis, F, Cane, S, Ugel, S, Donadello, K, Castellucci, M, Eyal, D, Fiore, A, Anselmi, C, Barouni, R, Trovato, R, Caligola, S, Lamolinara, A, Iezzi, M, Facciotti, F, Mazzariol, A, Gibellini, D, De Nardo, P, Tacconelli, E, Gottin, L, Polati, E, Schwikowski, B, Amit, I, and Bronte, V
Subjects: Male, 0301 basic medicine, Myeloid, Neutrophils, T-Lymphocytes, General Physics and Astronomy, Disease, CD8-Positive T-Lymphocytes, Monocyte, Monocytes, 0302 clinical medicine, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Medicine, Myeloid Cells, CD4-positive T cells, Myeloid Cell, Aged, 80 and over, 0303 health sciences, Multidisciplinary, Neutrophil, Middle Aged, 3. Good health, Cytokine release syndrome, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Cytokines, Female, Case-Control Studie, Viral load, Human, Coronavirus disease 2019 (COVID-19), Science, Article, General Biochemistry, Genetics and Molecular Biology, Sepsis, 03 medical and health sciences, Immune system, Humans, In patient, Cytokine, Aged, 030304 developmental biology, Hemophagocytic lymphohistiocytosis, Lung, SARS-CoV-2, business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Case-control study, COVID-19, CD8-Positive T-Lymphocyte, General Chemistry, medicine.disease, 030104 developmental biology, T-Lymphocyte, Viral infection, Case-Control Studies, Immunology, business, Ex vivo, 030217 neurology & neurosurgery
Abstract: Since the beginning of the SARS-CoV-2 pandemic, COVID-19 appeared as a unique disease with unconventional tissue and systemic immune features. Here we show a COVID-19 immune signature associated with severity by integrating single-cell RNA-seq analysis from blood samples and broncho-alveolar lavage fluids with clinical, immunological and functional ex vivo data. This signature is characterized by lung accumulation of naïve lymphoid cells associated with a systemic expansion and activation of myeloid cells. Myeloid-driven immune suppression is a hallmark of COVID-19 evolution, highlighting arginase-1 expression with immune regulatory features of monocytes. Monocyte-dependent and neutrophil-dependent immune suppression loss is associated with fatal clinical outcome in severe patients. Additionally, our analysis shows a lung CXCR6+ effector memory T cell subset is associated with better prognosis in patients with severe COVID-19. In summary, COVID-19-induced myeloid dysregulation and lymphoid impairment establish a condition of ‘immune silence’ in patients with critical COVID-19., Integrated studies of matched tissue sites and cell types in COVID-19 patients are important to define the immune mechanisms of pathology. Here, the authors describe an immune signature in fatal COVID-19 patients harmonizing single-cell RNA sequencing of blood and matched BAL cells with deep clinical, immunological and functional data.
Published: 2020
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8. Human genetic variants and age are the strongest predictors of humoral immune responses to common pathogens and vaccines

Author: Lluis Quintana-Murci, Bruno Charbit, Christian W. Thorball, Darragh Duffy, Cécile Alanio, Nimisha Chaturvedi, Flavia Hodel, Jacques Fellay, Jacob Bergstedt, Etienne Patin, Laurent Abel, Petar Scepanovic, Christian Hammer, Matthew L. Albert, Milieu Intérieur Consortium, Abel, L., Alcover, A., Aschard, H., Astrom, K., Bousso, P., Bruhns, P., Cumano, A., Demangel, C., Deriano, L., Di Santo, J., Dromer, F., Duffy, D., Eberl, G., Enninga, J., Fellay, J., Gelpi, O., Gomperts-Boneca, I., Hasan, M., Hercberg, S., Lantz, O., Leclerc, C., Mouquet, H., Pellegrini, S., Pol, S., Rausell, A., Rogge, L., Sakuntabhai, A., Schwartz, O., Schwikowski, B., Shorte, S., Soumelis, V., Tangy, F., Tartour, E., Toubert, A., Touvier, M., Ungeheuer, M.N., Albert, M.L., Quintana-Murci, L., Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Institute of Bioinformatics [Lausanne] (SIB), Université de Lausanne = University of Lausanne (UNIL), Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Human genetics of infectious diseases : Mendelian predisposition (Equipe Inserm U1163), Imagine - Institut des maladies génétiques (IMAGINE - U1163), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Genentech, Inc. [San Francisco], This work benefited from support of the French government’s Invest in the Future Program, managed by the Agence Nationale de la Recherche (ANR,reference 10-LABX-69-01). It was also supported by a grant from the Swiss National Science Foundation (31003A_175603, to JF). C.A. received a Post Doctoral Fellowship from Institut National de la Recherche Médicale., The Milieu Intérieur Consortium is composed of the following team leaders: Laurent Abel (Hôpital Necker, Paris, France), Andres Alcover (Institut Pasteur, Paris, France), Hugues Aschard (Institut Pasteur, Paris, France), Kalla Astrom (Lund University, Lund, Sweden), Philippe Bousso (Institut Pasteur, Paris, France), Pierre Bruhns (Institut Pasteur, Paris, France), Ana Cumano (Institut Pasteur, Paris, France), Caroline Demangel (Institut Pasteur, Paris, France), Ludovic Deriano (Institut Pasteur, Paris, France), James Di Santo (Institut Pasteur, Paris, France), Françoise Dromer (Institut Pasteur, Paris, France), Darragh Duffy (Institut Pasteur, Paris, France), Gérard Eberl (Institut Pasteur, Paris, France), Jost Enninga (Institut Pasteur, Paris, France), Jacques Fellay (EPFL, Lausanne, Switzerland), Odile Gelpi (Institut Pasteur, Paris, France), Ivo Gomperts-Boneca (Institut Pasteur, Paris, France), Milena Hasan (Institut Pasteur, Paris, France), Serge Hercberg (Université Paris 13, Paris, France), Olivier Lantz (Institut Curie, Paris, France), Claude Leclerc (Institut Pasteur, Paris, France), Hugo Mouquet (Institut Pasteur, Paris, France), Sandra Pellegrini (Institut Pasteur, Paris, France), Stanislas Pol (Hôpital Côchin, Paris, France), Antonio Rausell (INSERM UMR 1163–Institut Imagine, Paris, France), Lars Rogge (Institut Pasteur, Paris, France), Anavaj Sakuntabhai (Institut Pasteur, Paris, France), Olivier Schwartz (Institut Pasteur, Paris, France), Benno Schwikowski (Institut Pasteur, Paris, France), Spencer Shorte (Institut Pasteur, Paris, France), Vassili Soumelis (Institut Curie, Paris, France), Frédéric Tangy (Institut Pasteur, Paris, France), Eric Tartour (Hôpital Européen George Pompidou, Paris, France), Antoine Toubert (Hôpital Saint-Louis, Paris, France), Mathilde Touvier (Université Paris 13, Paris, France), Marie-Noëlle Ungeheuer (Institut Pasteur, Paris, France), Matthew L. Albert (Roche Genentech, South San Francisco, CA, USA), Lluis Quintana-Murci (Institut Pasteur, Paris, France)., ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Intérieur Consortium, Milieu, Laboratoires d'excellence - GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE - - MILIEU INTERIEUR2010 - ANR-10-LABX-0069 - LABX - VALID, Université de Lausanne (UNIL), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pasteur [Paris], Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], and Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Male, Aging, MESH: Immunity, Humoral/genetics, lcsh:Medicine, Human genomics, Genome-wide association study, [SDV.IMM.II]Life Sciences [q-bio]/Immunology/Innate immunity, MESH: Aging/immunology, MESH: Virus Diseases/immunology, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, GWAS, Genetics (clinical), MESH: Aged, HLA-D Antigens, Vaccines, MESH: Middle Aged, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], biology, MESH: HLA-D Antigens/genetics, MESH: Polymorphism, Single Nucleotide, Vaccination, Bacterial Infections, Middle Aged, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], 3. Good health, HLA, Serology, [SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunology, Virus Diseases, MESH: Bacterial Infections/immunology, [SDV.IMM.IA] Life Sciences [q-bio]/Immunology/Adaptive immunology, [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases, Molecular Medicine, Female, Sex, Antibody, Infection, Adult, lcsh:QH426-470, Immunoglobulins, Human leukocyte antigen, [SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human genetics, Polymorphism, Single Nucleotide, Virus, 03 medical and health sciences, Immune system, Age, Antigen, Genetics, Humans, Seroconversion, MESH: Vaccines/immunology, Humoral immunity, MESH: HLA-D Antigens/immunology, Molecular Biology, [SDV.IMM.II] Life Sciences [q-bio]/Immunology/Innate immunity, Aged, MESH: Humans, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Research, lcsh:R, MESH: Adult, MESH: Male, Immunity, Humoral, lcsh:Genetics, 030104 developmental biology, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Immunology, biology.protein, [SDV.GEN.GPO] Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], MESH: Female
Abstract: Background Humoral immune responses to infectious agents or vaccination vary substantially among individuals, and many of the factors responsible for this variability remain to be defined. Current evidence suggests that human genetic variation influences (i) serum immunoglobulin levels, (ii) seroconversion rates, and (iii) intensity of antigen-specific immune responses. Here, we evaluated the impact of intrinsic (age and sex), environmental, and genetic factors on the variability of humoral response to common pathogens and vaccines. Methods We characterized the serological response to 15 antigens from common human pathogens or vaccines, in an age- and sex-stratified cohort of 1000 healthy individuals (Milieu Intérieur cohort). Using clinical-grade serological assays, we measured total IgA, IgE, IgG, and IgM levels, as well as qualitative (serostatus) and quantitative IgG responses to cytomegalovirus, Epstein-Barr virus, herpes simplex virus 1 and 2, varicella zoster virus, Helicobacter pylori, Toxoplasma gondii, influenza A virus, measles, mumps, rubella, and hepatitis B virus. Following genome-wide genotyping of single nucleotide polymorphisms and imputation, we examined associations between ~ 5 million genetic variants and antibody responses using single marker and gene burden tests. Results We identified age and sex as important determinants of humoral immunity, with older individuals and women having higher rates of seropositivity for most antigens. Genome-wide association studies revealed significant associations between variants in the human leukocyte antigen (HLA) class II region on chromosome 6 and anti-EBV and anti-rubella IgG levels. We used HLA imputation to fine map these associations to amino acid variants in the peptide-binding groove of HLA-DRβ1 and HLA-DPβ1, respectively. We also observed significant associations for total IgA levels with two loci on chromosome 2 and with specific KIR-HLA combinations. Conclusions Using extensive serological testing and genome-wide association analyses in a well-characterized cohort of healthy individuals, we demonstrated that age, sex, and specific human genetic variants contribute to inter-individual variability in humoral immunity. By highlighting genes and pathways implicated in the normal antibody response to frequently encountered antigens, these findings provide a basis to better understand disease pathogenesis. Trials registration ClinicalTrials.gov, NCT01699893 Electronic supplementary material The online version of this article (10.1186/s13073-018-0568-8) contains supplementary material, which is available to authorized users.
Published: 2018
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9. Functional analysis via standardized whole-blood stimulation systems defines the boundaries of a healthy immune response to complex stimuli

Author: Ivo Gomperts-Boneca, Ludovic Deriano, Spencer L. Shorte, Annick Dubois, Anavaj Sakuntabhai, Claude Leclerc, Caroline Demangel, Ana Cumano, Lluis Quintana-Murci, Matthew L. Albert, Antonio A. Freitas, Antoine Toubert, Lars Rogge, Manfred Schmolz, Gérard Eberl, Vincent Rouilly, Valentina Libri, Alejandra Urrutia, James P. Di Santo, Eric Tartour, Marie-Noëlle Ungeheuer, Françoise Dromer, Hugo Mouquet, Olivier Schwartz, Benoit Beitz, Mikael David, Olivier Lantz, Stéphanie Thomas, Ivo G. Boneca, Philippe Bousso, Laurent Abel, Vassili Soumelis, Cécile Delval, Darragh Duffy, Benno Schwikowski, Frédéric Tangy, Serge Hercberg, Jost Enninga, Milena Hasan, Samuel S.T. LaBrie, Sandra Pellegrini, Aurélie Bisiaux, Stanislas Pol, Marc Daëron, Andrés Alcover, Immunobiologie des Cellules dendritiques, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre de Recherche Translationnelle - Center for Translational Science (CRT), Institut Pasteur [Paris] (IP), Centre d'Immunologie Humaine (CIH), Substances Lichéniques et Photoprotection, Université de Rennes (UR), Centre d'Immunologie et de Maladies Infectieuses (CIMI), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Immunobiologie des Cellules Dendritiques, Myriad rules based medicine, Chambre Régionale d'Agriculture des Pays de la Loire, Biologie et Génétique de la Paroi bactérienne - Biology and Genetics of Bacterial Cell Wall (BGPB), Laboratoire de géographie physique : Environnements Quaternaires et Actuels (LGP), Université Paris 1 Panthéon-Sorbonne (UP1)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Département d'Immunologie - Department of Immunology, Immunorégulation, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Génétique Evolutive Humaine - Human Evolutionary Genetics, Laboratory of Cellular Physiology and Immunology and Chris Browne Center, Rockefeller University [New York], St. Giles Laboratory of Human Genetics of Infectious Diseases, Laboratory of Human Genetics of Infectious Diseases, Institut National de la Santé et de la Recherche Médicale (INSERM), Imagine - Institut des maladies génétiques (IMAGINE - U1163), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biologie Cellulaire des Lymphocytes - Lymphocyte Cell Biology, Dynamiques des Réponses Immunes, Lymphopoïèse (Lymphopoïèse (UMR_1223 / U1223 / U-Pasteur_4)), Institut Pasteur [Paris] (IP)-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cellule Pasteur, Université Paris Diderot - Paris 7 (UPD7)-PRES Sorbonne Paris Cité, Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Immunobiologie de l'Infection - Immunobiology of Infection, Département de Génomes et Génétique - Department of Genomes and Genetics, Mycologie moléculaire, Centre National de Référence Mycologie et Antifongiques-Mycologie Moléculaire (CNRMA), Microenvironnement et Immunité - Microenvironment and Immunity, Dynamique des Interactions Hôte-Pathogène - Dynamics of Host-Pathogen Interactions, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle (CRESS - U1153), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de formation en masso-kinésithérapie (IFMK Brest), Université de Brest (UBO)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Réponse humorale aux pathogènes, Signalisation des Cytokines - Cytokine Signaling, Service d'hépatologie médicale [CHU Cochin], Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Génétique fonctionnelle des Maladies infectieuses - Functional Genetics of Infectious Diseases, Centre de recherche sur les liens sociaux (CERLIS - UMR 8070), Université Sorbonne Nouvelle - Paris 3-Université Paris Descartes - Paris 5 (UPD5)-Centre National de la Recherche Scientifique (CNRS), Biologie systémique - Systems Biology, Imagopole (CITECH), Laboratoire d'Immunologie Clinique, Institut Curie [Paris], Génomique virale et vaccination, Cytokines et Immunologie des Tumeurs Humaines (U753), Université Paris-Sud - Paris 11 (UP11)-Institut Gustave Roussy (IGR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Saint-Louis, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7), Investigation Clinique et d’Accès aux Ressources Biologiques (Plate-forme) - Clinical Investigation and Access to BioResources (ICAReB), This work benefited from support of the French government’s Invest in the Future Program, managed by the Agence Nationale de la Recherche (ANR, reference 10-LABX-69-01). We also acknowledge A. Pugsley for his support in obtaining funding and the logistical aspects of initiating the project, Milieu Intérieur Consortium (32 collaborateurs) : Abel L, Alcover A, Bousso P, Cumano A, Daëron M, Delval C, Demangel C, Deriano L, Di Santo J, Dromer F, Eberl G, Enninga J, Freitas A, Gomperts-Boneca I, Hercberg S, Lantz O, Leclerc C, Mouquet H, Pellegrini S, Pol S, Rogge L, Sakuntabhai A, Schwartz O, Schwikowski B, Shorte S, Soumelis V, Tangy F, Tartour E, Toubert A, Ungeheuer MN, Quintana-Murci L, Albert ML., ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pasteur [Paris], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris]-Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Centre National de la Recherche Scientifique (CNRS)-Institut Pasteur [Paris], Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Université Paris 13 (UP13)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Centre de Recherche Translationnelle ( CRT ), Centre d'Immunologie Humaine ( CIH ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Centre d'Immunologie et de Maladies Infectieuses ( CIMI ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Biologie et Génétique de la Paroi bactérienne, Laboratoire de géographie physique ( LGP ), Université Panthéon-Sorbonne ( UP1 ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ) -Centre National de la Recherche Scientifique ( CNRS ), Département d'Immunologie, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique ( CNRS ), rockefeller university, St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Institut National de la Santé et de la Recherche Médicale ( INSERM ), Imagine - Institut des maladies génétiques ( IMAGINE - U1163 ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Biologie Cellulaire des Lymphocytes, Lymphopoïèse, Université Paris Diderot - Paris 7 ( UPD7 ) -PRES Sorbonne Paris Cité, Centre d'Immunologie de Marseille - Luminy ( CIML ), Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Aix Marseille Université ( AMU ) -Centre National de la Recherche Scientifique ( CNRS ), Immunobiologie de l'Infection, Département de Génomes et Génétique, Centre National de Référence Mycologie et Antifongiques-Mycologie Moléculaire ( CNRMA ), Microenvironnement et Immunité, Dynamique des Interactions Hôte-Pathogène, Equipe 3: EREN- Equipe de Recherche en Epidémiologie Nutritionnelle ( CRESS - U1153 ), Université Paris 13 ( UP13 ) -Institut National de la Recherche Agronomique ( INRA ) -Conservatoire National des Arts et Métiers [CNAM] ( CNAM ) -Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité ( CRESS (U1153 / UMR_A 1125) ), Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut National de la Recherche Agronomique ( INRA ) -Université Sorbonne Paris Cité ( USPC ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Institut de formation en masso-kinésithérapie ( IFMK Brest ), Université de Brest ( UBO ) -Centre Hospitalier Régional Universitaire de Brest ( CHRU Brest ), Signalisation des Cytokines, Assistance publique - Hôpitaux de Paris (AP-HP)-CHU Cochin [AP-HP], Génétique fonctionnelle des Maladies infectieuses, CERLIS - Centre de recherche sur les liens sociaux - UMR 8070 ( CERLIS - UMR 8070 ), Centre National de la Recherche Scientifique ( CNRS ) -Université Paris Descartes - Paris 5 ( UPD5 ) -Université Sorbonne Nouvelle - Paris 3, Biologie systémique, Imagopole ( CITECH ), Institut Curie, Institut Curie-Institut Curie, Cytokines et Immunologie des Tumeurs Humaines ( U753 ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut Gustave Roussy ( IGR ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Assistance publique - Hôpitaux de Paris (AP-HP)-Université Paris Diderot - Paris 7 ( UPD7 ), Investigation Clinique et d’Accès aux Ressources Biologiques (Plate-forme) - Clinical Investigation and Access to BioResources ( ICAReB ), ANR : 10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE ( 2010 ), Centre de Recherche Translationnelle (CRT), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Panthéon-Sorbonne (UP1), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris 13 (UP13)-Institut National de la Recherche Agronomique (INRA)-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), CHU Cochin [AP-HP]-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Université Paris Diderot - Paris 7 (UPD7)-Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), and ANR: 10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010)
Subjects: Chemokine, MESH : Cytokines, MESH : Antigens, Disease, MESH : Monitoring, Immunologic, Adaptive Immunity, 0302 clinical medicine, Immunophenotyping, Reference Values, [ SDV.IMM ] Life Sciences [q-bio]/Immunology, Immunology and Allergy, MESH: Monitoring, Immunologic, MESH: Healthy Volunteers, 0303 health sciences, MESH: Cytokines, biology, MESH: Reference Values, MESH : Immunity, Innate, Healthy Volunteers, 3. Good health, MESH: Reproducibility of Results, Infectious Diseases, Cytokines, [SDV.IMM]Life Sciences [q-bio]/Immunology, MESH: Antigens, MESH: Immunity, Innate, Inflammation Mediators, Functional analysis (psychology), Whole blood stimulation, MESH : Adaptive Immunity, Immunology, MESH: Inflammation Mediators, MESH : Reference Values, MESH : Inflammation Mediators, 03 medical and health sciences, Immune system, Immunity, Monitoring, Immunologic, Humans, Antigens, 030304 developmental biology, MESH : Healthy Volunteers, MESH: Humans, MESH : Reproducibility of Results, MESH : Humans, Reproducibility of Results, Immunity, Innate, Reference values, biology.protein, MESH: Adaptive Immunity, 030215 immunology
Abstract: International audience; Standardization of immunophenotyping procedures has become a high priority. We have developed a suite of whole-blood, syringe-based assay systems that can be used to reproducibly assess induced innate or adaptive immune responses. By eliminating preanalytical errors associated with immune monitoring, we have defined the protein signatures induced by (1) medically relevant bacteria, fungi, and viruses; (2) agonists specific for defined host sensors; (3) clinically employed cytokines; and (4) activators of T cell immunity. Our results provide an initial assessment of healthy donor reference values for induced cytokines and chemokines and we report the failure to release interleukin-1α as a common immunological phenotype. The observed naturally occurring variation of the immune response may help to explain differential susceptibility to disease or response to therapeutic intervention. The implementation of a general solution for assessment of functional immune responses will help support harmonization of clinical studies and data sharing.
Published: 2014
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10. The Milieu Intérieur study — An integrative approach for study of human immunological variance

Author: Stéphanie Thomas, Vincent Rouilly, Etienne Patin, Cécile Alanio, Annick Dubois, Cécile Delval, Louis-Guillaume Marquier, Nicolas Fauchoux, Seloua Sayegrih, Muriel Vray, Darragh Duffy, Lluis Quintana-Murci, Matthew L. Albert, Laurent Abel, Andres Alcover, Philippe Bousso, Pierre Bruhns, Ana Cumano, Marc Daëron, Caroline Demangel, Ludovic Deriano, James Di Santo, Françoise Dromer, Gérard Eberl, Jost Enninga, Antonio Freitas, Odile Gelpi, Ivo Gomperts-Boneca, Serge Hercberg, Olivier Lantz, Claude Leclerc, Hugo Mouquet, Sandra Pellegrini, Stanislas Pol, Lars Rogge, Anavaj Sakuntabhai, Olivier Schwartz, Benno Schwikowski, Spencer Shorte, Vassili Soumelis, Frédéric Tangy, Eric Tartour, Antoine Toubert, Marie-Noëlle Ungeheuer, Immunobiologie des Cellules Dendritiques, Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Génétique Evolutive Humaine - Human Evolutionary Genetics, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Pôle Intégré de Recherche Clinique (PIRC), Institut Pasteur [Paris], Biotrial, Biotrial, Rennes, France, Epidémiologie des Maladies Emergentes - Emerging Diseases Epidemiology, Pasteur-Cnam Risques infectieux et émergents (PACRI), Institut Pasteur [Paris]-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Institut Pasteur [Paris]-Conservatoire National des Arts et Métiers [CNAM] (CNAM), This work benefited from the support of the French government's 'Invest in the Future program', managed by the Agence Nationale de la Recherche (ANR, reference 10-LABX-69-01). We acknowledge the advice of the 'healthy donor' working group that helped us to define the inclusion/exclusion criteria: Laurent Abel, François Aubin, Raphaëlle Bourdet-Sicard, Ingrid Callies, Miguel Fenoy, Bridget Holmes, Laurence Mathivet, Cédric Ménager, Stéphane Reynier, Manfred Schmoltz, Muriel Vray). Scientific advisory board members that supported the trial design discussions included: Hyam Levitsky, Philip Greenberg, John Marioni, Jonathan Braun, Adrian Hayday and Thomas Joos. We also thank Dusko Ehrlich and Joël Doré for advice on stool sample collection procedures. We would like to acknowledge all the Biotrial team of doctors, nurses, technicians and project managers for their expertise and professionalism. We also thank the donors for their contribution to the study., Consortium 'Milieu Intérieur' (34 collaborateurs) : Abel L, Alcover A, Bousso P, Bruhns P, Cumano A, Daëron M, Delval C, Demangel C, Deriano L, Di Santo J, Dromer F, Eberl G, Enninga J, Freitas A, Gelpi O, Gomperts-Boneca I, Hercberg S, Lantz O, Leclerc C, Mouquet H, Pellegrini S, Pol S, Rogge L, Sakuntabhai A, Schwartz O, Schwikowski B, Shorte S, Soumelis V, Tangy F, Tartour E, Toubert A, Ungeheuer MN, Quintana-Murci L, Albert ML., ANR-10-LABX-0069,MILIEU INTERIEUR,GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE(2010), Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris] (IP), Institut Pasteur [Paris] (IP)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Institut Pasteur [Paris] (IP)-Conservatoire National des Arts et Métiers [CNAM] (CNAM), HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM), RIBIERRE, Helene, and Laboratoires d'excellence - GENETIC & ENVIRONMENTAL CONTROL OF IMMUNE PHENOTYPE VARIANCE: ESTABLISHING A PATH TOWARDS PERSONALIZED MEDICINE - - MILIEU INTERIEUR2010 - ANR-10-LABX-0069 - LABX - VALID
Subjects: Gerontology, Adult, Male, medicine.medical_specialty, [SDV.IMM] Life Sciences [q-bio]/Immunology, Cohort design, Population, Immunology, Disease, Immune phenotypes, Bioinformatics, Cohort Studies, Young Adult, Sex Factors, Risk Factors, Epidemiology, Medicine, SNP, Immunology and Allergy, Humans, Milieu intérieur, education, Aged, education.field_of_study, business.industry, Smoking, Age Factors, CMV, Variance (accounting), Healthy donor, Middle Aged, Baseline serologic data, Metabolic syndrome, 3. Good health, Cross-Sectional Studies, Socioeconomic Factors, Immune System, Cytomegalovirus Infections, [SDV.IMM]Life Sciences [q-bio]/Immunology, Female, Sample collection, France, business, Cohort study
Abstract: International audience; The Milieu Intérieur Consortium has established a 1000-person healthy population-based study (stratified according to sex and age), creating an unparalleled opportunity for assessing the determinants of human immunologic variance. Herein, we define the criteria utilized for participant enrollment, and highlight the key data that were collected for correlative studies. In this report, we analyzed biological correlates of sex, age, smoking-habits, metabolic score and CMV infection. We characterized and identified unique risk factors among healthy donors, as compared to studies that have focused on the general population or disease cohorts. Finally, we highlight sex-bias in the thresholds used for metabolic score determination and recommend a deeper examination of current guidelines. In sum, our clinical design, standardized sample collection strategies, and epidemiological data analyses have established the foundation for defining variability within human immune responses.
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11. Comparative evaluation of feature reduction methods for drug response prediction.

Author: Firoozbakht F, Yousefi B, Tsoy O, Baumbach J, and Schwikowski B
Subjects: Humans, Antineoplastic Agents pharmacology, Precision Medicine methods, Neoplasms drug therapy, Neoplasms pathology, Neoplasms genetics, Cell Line, Tumor, Machine Learning
Abstract: Personalized medicine aims to tailor medical treatments to individual patients, and predicting drug responses from molecular profiles using machine learning is crucial for this goal. However, the high dimensionality of the molecular profiles compared to the limited number of samples presents significant challenges. Knowledge-based feature selection methods are particularly suitable for drug response prediction, as they leverage biological insights to reduce dimensionality and improve model interpretability. This study presents the first comparative evaluation of nine different knowledge-based and data-driven feature reduction methods on cell line and tumor data. Our analysis employs six distinct machine learning models, with a total of more than 6,000 runs to ensure a robust evaluation. Our findings indicate that transcription factor activities outperform other methods in predicting drug responses, effectively distinguishing between sensitive and resistant tumors for seven of the 20 drugs evaluated., Competing Interests: Declarations. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)
Published: 2024
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12. Consensus gene modules strategy identifies candidate blood-based biomarkers for primary Sjögren's disease.

Author: Boudjeniba C, Soret P, Trutschel D, Hamon A, Baloche V, Chassagnol B, Desvaux E, Bichat A, Aussy A, Moingeon P, Lefebvre C, Hubert S, Alarcon-Riquelmé M, Ng WF, Gottenberg JE, Schwikowski B, Bombardieri M, van Roon JAG, Mariette X, Guedj M, Birmele E, Laigle L, and Becht E
Subjects: Humans, Transcriptome, Gene Expression Profiling methods, Hydroxychloroquine therapeutic use, Female, Gene Regulatory Networks, Lymphocytes metabolism, Sjogren's Syndrome genetics, Sjogren's Syndrome blood, Biomarkers blood
Abstract: Primary Sjögren disease (pSD) is an autoimmune disease characterized by lymphoid infiltration of exocrine glands leading to dryness of the mucosal surfaces and by the production of autoantibodies. The pathophysiology of pSD remains elusive and no treatment with demonstrated efficacy is available yet. To better understand the biology underlying pSD heterogeneity, we aimed at identifying Consensus gene Modules (CMs) that summarize the high-dimensional transcriptomic data of whole blood samples in pSD patients. We performed unsupervised gene classification on four data sets and identified thirteen CMs. We annotated and interpreted each of these CMs as corresponding to cell type abundances or biological functions by using gene set enrichment analyses and transcriptomic profiles of sorted blood cell subsets. Correlation with independently measured cell type abundances by flow cytometry confirmed these annotations. We used these CMs to reconcile previously proposed patient stratifications of pSD. Importantly, we showed that the expression of modules representing lymphocytes and erythrocytes before treatment initiation is associated with response to hydroxychloroquine and leflunomide combination therapy in a clinical trial. These consensus modules will help the identification and translation of blood-based predictive biomarkers for the treatment of pSD., Competing Interests: Declaration of competing interest While engaged in the research project, C.B., B.C. and E.D. were PhD students financed by Institut de Recherches Internationales Servier when they contributed to the research project. P.S., A.B., A.A., P.M., M.G., L.L., C.L., S.H., and E.Be were employees Institut de Recherches Internationales Servier when they contributed to the research project. W.F.N. has provided consultation for Novartis, GlaxoSmithKline, Abbvie, BMS, Sanofi, MedImmune, Argenx, Janssen, Resolves Therapeutics, Astella and UCB. J.R. received funding from ZonMW and ReumaNederland., (Copyright © 2024 Elsevier Inc. All rights reserved.)
Published: 2024
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13. Identification of new candidate drugs for primary Sjögren's syndrome using a drug repurposing transcriptomic approach.

Author: Felten R, Ye T, Schleiss C, Schwikowski B, Sibilia J, Monneaux F, Dumortier H, Jonsson R, Lessard C, Ng F, Takeuchi T, Mariette X, and Gottenberg JE
Subjects: Humans, Transcriptome, Drug Repositioning, Phosphatidylinositol 3-Kinases genetics, Interferons genetics, Histone Deacetylases genetics, Sjogren's Syndrome drug therapy, Sjogren's Syndrome genetics
Abstract: Objectives: To date, no immunomodulatory drug has demonstrated its efficacy in primary SS (pSS). We sought to analyse potential commonalities between pSS transcriptomic signatures and signatures of various drugs or specific knock-in or knock-down genes., Methods: Gene expression from peripheral blood samples of patients with pSS was compared with that of healthy controls in two cohorts and three public databases. In each of the five datasets, we analysed the 150 most up- and downregulated genes between pSS patients and controls with regard to the differentially expressed genes resulting from the biological action on nine cell lines of 2837 drugs, 2160 knock-in and 3799 knock-down genes in the Connectivity Map database., Results: We analysed 1008 peripheral blood transcriptomes from five independent studies (868 patients with pSS and 140 healthy controls). Eleven drugs could represent potential candidate drugs, with histone deacetylases and PI3K inhibitors among the most significantly associated. Twelve knock-in genes were associated with a pSS-like profile and 23 knock-down genes were associated with a pSS-revert profile. Most of those genes (28/35, 80%) were interferon-regulated., Conclusion: This first drug repositioning transcriptomic approach in SS confirms the interest of targeting interferons and identifies histone deacetylases and PI3K inhibitors as potential therapeutic targets., (© The Author(s) 2023. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Published: 2023
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14. PLEX.I: a tool to discover features in multiplex networks that reflect clinical variation.

Author: Yousefi B, Firoozbakht F, Melograna F, Schwikowski B, and Van Steen K
Abstract: Molecular profiling technologies, such as RNA sequencing, offer new opportunities to better discover and understand the molecular networks involved in complex biological processes. Clinically important variations of diseases, or responses to treatment, are often reflected, or even caused, by the dysregulation of molecular interaction networks specific to particular network regions. In this work, we propose the R package PLEX.I, that allows quantifying and testing variation in the direct neighborhood of a given node between networks corresponding to different conditions or states. We illustrate PLEX.I in two applications in which we discover variation that is associated with different responses to tamoxifen treatment and to sex-specific responses to bacterial stimuli. In the first case, PLEX.I analysis identifies two known pathways i) that have already been implicated in the same context as the tamoxifen mechanism of action, and ii) that would have not have been identified using classical differential gene expression analysis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yousefi, Firoozbakht, Melograna, Schwikowski and Van Steen.)
Published: 2023
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15. Democratizing knowledge representation with BioCypher.

Author: Lobentanzer S, Aloy P, Baumbach J, Bohar B, Carey VJ, Charoentong P, Danhauser K, Doğan T, Dreo J, Dunham I, Farr E, Fernandez-Torras A, Gyori BM, Hartung M, Hoyt CT, Klein C, Korcsmaros T, Maier A, Mann M, Ochoa D, Pareja-Lorente E, Popp F, Preusse M, Probul N, Schwikowski B, Sen B, Strauss MT, Turei D, Ulusoy E, Waltemath D, Wodke JAH, and Saez-Rodriguez J
Published: 2023
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16. Capturing the dynamics of microbial interactions through individual-specific networks.

Author: Yousefi B, Melograna F, Galazzo G, van Best N, Mommers M, Penders J, Schwikowski B, and Van Steen K
Abstract: Longitudinal analysis of multivariate individual-specific microbiome profiles over time or across conditions remains dauntin. Most statistical tools and methods that are available to study microbiomes are based on cross-sectional data. Over the past few years, several attempts have been made to model the dynamics of bacterial species over time or across conditions. However, the field needs novel views on handling microbial interactions in temporal analyses. This study proposes a novel data analysis framework, MNDA, that combines representation learning and individual-specific microbial co-occurrence networks to uncover taxon neighborhood dynamics. As a use case, we consider a cohort of newborns with microbiomes available at 6 and 9 months after birth, and extraneous data available on the mode of delivery and diet changes between the considered time points. Our results show that prediction models for these extraneous outcomes based on an MNDA measure of local neighborhood dynamics for each taxon outperform traditional prediction models solely based on individual-specific microbial abundances. Furthermore, our results show that unsupervised similarity analysis of newborns in the study, again using the notion of a taxon's dynamic neighborhood derived from time-matched individual-specific microbial networks, can reveal different subpopulations of individuals, compared to standard microbiome-based clustering, with potential relevance to clinical practice. This study highlights the complementarity of microbial interactions and abundances in downstream analyses and opens new avenues to personalized prediction or stratified medicine with temporal microbiome data., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Yousefi, Melograna, Galazzo, van Best, Mommers, Penders, Schwikowski and Van Steen.)
Published: 2023
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17. Author Correction: A shared disease-associated oligodendrocyte signature among multiple CNS pathologies.

Author: Kenigsbuch M, Bost P, Halevi S, Chang Y, Chen S, Ma Q, Hajbi R, Schwikowski B, Bodenmiller B, Fu H, Schwartz M, and Amit I
Published: 2023
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18. Variability of Primary Sjögren's Syndrome Is Driven by Interferon-α and Interferon-α Blood Levels Are Associated With the Class II HLA-DQ Locus.

Author: Trutschel D, Bost P, Mariette X, Bondet V, Llibre A, Posseme C, Charbit B, Thorball CW, Jonsson R, Lessard CJ, Felten R, Ng WF, Chatenoud L, Dumortier H, Sibilia J, Fellay J, Brokstad KA, Appel S, Tarn JR, Quintana-Murci L, Mingueneau M, Meyer N, Duffy D, Schwikowski B, and Gottenberg JE
Subjects: Humans, Interferon-alpha, Proteomics, Prospective Studies, HLA-DQ Antigens genetics, Sjogren's Syndrome
Abstract: Objective: Primary Sjögren's syndrome (SS) is the second most frequent systemic autoimmune disease, affecting 0.1% of the general population. To characterize the molecular and clinical variabilities among patients with primary SS, we integrated transcriptomic, proteomic, cellular, and genetic data with clinical phenotypes in a cohort of 351 patients with primary SS., Methods: We analyzed blood transcriptomes and genotypes of 351 patients with primary SS who were participants in a multicenter prospective clinical cohort. We replicated the transcriptome analysis in 3 independent cohorts (n = 462 patients). We determined circulating interferon-α (IFNα) and IFNγ protein concentrations using digital single molecular arrays (Simoa)., Results: Transcriptome analysis of the prospective cohort showed a strong IFN gene signature in more than half of the patients; this finding was replicated in the 3 independent cohorts. Because gene expression analysis did not discriminate between type I IFN and type II IFN, we used Simoa to demonstrate that the IFN transcriptomic signature was driven by circulating IFNα and not by IFNγ protein levels. IFNα protein levels, detectable in 75% of patients, were significantly associated with clinical and immunologic features of primary SS disease activity at enrollment and with increased frequency of systemic complications over the 5-year follow-up. Genetic analysis revealed a significant association between IFNα protein levels, a major histocompatibility (MHC) class II haplotype, and anti-SSA antibody. Additional cellular analysis revealed that an MHC class II HLA-DQ locus acts through up-regulation of HLA class II molecules on conventional dendritic cells., Conclusion: We identified the predominance of IFNα as a driver of primary SS variability, with IFNα demonstrating an association with HLA gene polymorphisms., (© 2022 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology.)
Published: 2022
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19. A shared disease-associated oligodendrocyte signature among multiple CNS pathologies.

Author: Kenigsbuch M, Bost P, Halevi S, Chang Y, Chen S, Ma Q, Hajbi R, Schwikowski B, Bodenmiller B, Fu H, Schwartz M, and Amit I
Subjects: Amyloid beta-Peptides metabolism, Amyloid beta-Protein Precursor metabolism, Animals, Brain metabolism, Disease Models, Animal, Humans, Mice, Mice, Transgenic, Oligodendroglia metabolism, Plaque, Amyloid metabolism, Alzheimer Disease metabolism, Neurodegenerative Diseases pathology
Abstract: Alzheimer's disease (AD) is a complex neurodegenerative disease, perturbing neuronal and non-neuronal cell populations. In this study, using single-cell transcriptomics, we mapped all non-immune, non-neuronal cell populations in wild-type and AD model (5xFAD) mouse brains. We identified an oligodendrocyte state that increased in association with brain pathology, which we termed disease-associated oligodendrocytes (DOLs). In a murine model of amyloidosis, DOLs appear long after plaque accumulation, and amyloid-beta (Aβ) alone was not sufficient to induce the DOL signature in vitro. DOLs could be identified in a mouse model of tauopathy and in other murine neurodegenerative and autoimmune inflammatory conditions, suggesting a common response to severe pathological conditions. Using quantitative spatial analysis of mouse and postmortem human brain tissues, we found that oligodendrocytes expressing a key DOL marker (SERPINA3N/SERPINA3 accordingly) are present in the cortex in areas of brain damage and are enriched near Aβ plaques. In postmortem human brain tissue, the expression level of this marker correlated with cognitive decline. Altogether, this study uncovers a shared signature of oligodendrocytes in central nervous system pathologies., (© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.)
Published: 2022
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20. An overview of machine learning methods for monotherapy drug response prediction.

Author: Firoozbakht F, Yousefi B, and Schwikowski B
Subjects: Machine Learning, Software
Abstract: For an increasing number of preclinical samples, both detailed molecular profiles and their responses to various drugs are becoming available. Efforts to understand, and predict, drug responses in a data-driven manner have led to a proliferation of machine learning (ML) methods, with the longer term ambition of predicting clinical drug responses. Here, we provide a uniquely wide and deep systematic review of the rapidly evolving literature on monotherapy drug response prediction, with a systematic characterization and classification that comprises more than 70 ML methods in 13 subclasses, their input and output data types, modes of evaluation, and code and software availability. ML experts are provided with a fundamental understanding of the biological problem, and how ML methods are configured for it. Biologists and biomedical researchers are introduced to the basic principles of applicable ML methods, and their application to the problem of drug response prediction. We also provide systematic overviews of commonly used data sources used for training and evaluation methods., (© The Author(s) 2021. Published by Oxford University Press.)
Published: 2022
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21. Differential levels of IFNα subtypes in autoimmunity and viral infection.

Author: Bondet V, Rodero MP, Posseme C, Bost P, Decalf J, Haljasmägi L, Bekaddour N, Rice GI, Upasani V, Herbeuval JP, Reynolds JA, Briggs TA, Bruce IN, Mauri C, Isenberg D, Menon M, Hunt D, Schwikowski B, Mariette X, Pol S, Rozenberg F, Cantaert T, Eric Gottenberg J, Kisand K, and Duffy D
Subjects: Adolescent, Adult, Aged, Child, Child, Preschool, Female, Humans, Infant, Male, Middle Aged, Young Adult, Antiviral Agents immunology, Autoimmunity immunology, Interferon-alpha immunology, Virus Diseases immunology
Abstract: Type I interferons are essential for host response to viral infections, while dysregulation of their response can result in autoinflammation or autoimmunity. Among IFNα (alpha) responses, 13 subtypes exist that signal through the same receptor, but have been reported to have different effector functions. However, the lack of available tools for discriminating these closely related subtypes, in particular at the protein level, has restricted the study of their differential roles in disease. We developed a digital ELISA with specificity and high sensitivity for the IFNα2 subtype. Application of this assay, in parallel with our previously described pan-IFNα assay, allowed us to study different IFNα protein responses following cellular stimulation and in diverse patient cohorts. We observed different ratios of IFNα protein responses between viral infection and autoimmune patients. This analysis also revealed a small percentage of autoimmune patients with high IFNα2 protein measurements but low pan-IFNα measurements. Correlation with an ISG score and functional activity showed that in this small sub group of patients, IFNα2 protein measurements did not reflect its biological activity. This unusual phenotype was partly explained by the presence of anti-IFNα auto-antibodies in a subset of autoimmune patients. This study reports ultrasensitive assays for the study of IFNα proteins in patient samples and highlights the insights that can be obtained from the use of multiple phenotypic readouts in translational and clinical studies., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Published: 2021
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22. Deciphering the state of immune silence in fatal COVID-19 patients.

Author: Bost P, De Sanctis F, Canè S, Ugel S, Donadello K, Castellucci M, Eyal D, Fiore A, Anselmi C, Barouni RM, Trovato R, Caligola S, Lamolinara A, Iezzi M, Facciotti F, Mazzariol A, Gibellini D, De Nardo P, Tacconelli E, Gottin L, Polati E, Schwikowski B, Amit I, and Bronte V
Subjects: Aged, Aged, 80 and over, CD8-Positive T-Lymphocytes immunology, COVID-19 blood, Case-Control Studies, Cytokines immunology, Female, Humans, Male, Middle Aged, Monocytes immunology, Myeloid Cells immunology, Neutrophils immunology, T-Lymphocytes immunology, COVID-19 immunology, SARS-CoV-2 immunology
Abstract: Since the beginning of the SARS-CoV-2 pandemic, COVID-19 appeared as a unique disease with unconventional tissue and systemic immune features. Here we show a COVID-19 immune signature associated with severity by integrating single-cell RNA-seq analysis from blood samples and broncho-alveolar lavage fluids with clinical, immunological and functional ex vivo data. This signature is characterized by lung accumulation of naïve lymphoid cells associated with a systemic expansion and activation of myeloid cells. Myeloid-driven immune suppression is a hallmark of COVID-19 evolution, highlighting arginase-1 expression with immune regulatory features of monocytes. Monocyte-dependent and neutrophil-dependent immune suppression loss is associated with fatal clinical outcome in severe patients. Additionally, our analysis shows a lung CXCR6 + effector memory T cell subset is associated with better prognosis in patients with severe COVID-19. In summary, COVID-19-induced myeloid dysregulation and lymphoid impairment establish a condition of 'immune silence' in patients with critical COVID-19.
Published: 2021
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23. Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients.

Author: Bost P, Giladi A, Liu Y, Bendjelal Y, Xu G, David E, Blecher-Gonen R, Cohen M, Medaglia C, Li H, Deczkowska A, Zhang S, Schwikowski B, Zhang Z, and Amit I
Subjects: Animals, Betacoronavirus isolation & purification, COVID-19, Coinfection immunology, Coronavirus Infections immunology, Coronavirus Infections pathology, Coronavirus Infections virology, Humans, Interferons immunology, Lung pathology, Pandemics, Pneumonia, Viral immunology, Pneumonia, Viral pathology, Pneumonia, Viral virology, SARS-CoV-2, Sensitivity and Specificity, Sequence Analysis, RNA, Severity of Illness Index, Single-Cell Analysis, Coronavirus Infections physiopathology, Host-Pathogen Interactions, Pneumonia, Viral physiopathology, Software
Abstract: Viruses are a constant threat to global health as highlighted by the current COVID-19 pandemic. Currently, lack of data underlying how the human host interacts with viruses, including the SARS-CoV-2 virus, limits effective therapeutic intervention. We introduce Viral-Track, a computational method that globally scans unmapped single-cell RNA sequencing (scRNA-seq) data for the presence of viral RNA, enabling transcriptional cell sorting of infected versus bystander cells. We demonstrate the sensitivity and specificity of Viral-Track to systematically detect viruses from multiple models of infection, including hepatitis B virus, in an unsupervised manner. Applying Viral-Track to bronchoalveloar-lavage samples from severe and mild COVID-19 patients reveals a dramatic impact of the virus on the immune system of severe patients compared to mild cases. Viral-Track detects an unexpected co-infection of the human metapneumovirus, present mainly in monocytes perturbed in type-I interferon (IFN)-signaling. Viral-Track provides a robust technology for dissecting the mechanisms of viral-infection and pathology., Competing Interests: Declaration of Interests The authors declare no competing interests., (Copyright © 2020 Elsevier Inc. All rights reserved.)
Published: 2020
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24. Bystander IFN-γ activity promotes widespread and sustained cytokine signaling altering the tumor microenvironment.

Author: Thibaut R, Bost P, Milo I, Cazaux M, Lemaître F, Garcia Z, Amit I, Breart B, Cornuot C, Schwikowski B, and Bousso P
Subjects: Cytokines, Humans, T-Lymphocytes, Interferon-gamma, Tumor Microenvironment
Abstract: The cytokine IFN-γ produced by tumor-reactive T cells is a key effector molecule with pleiotropic effects during anti-tumor immune responses. While IFN-γ production is targeted at the immunological synapse, its spatiotemporal activity within the tumor remains elusive. Here, we report that while IFN-γ secretion requires local antigen recognition, IFN-γ diffuses extensively to alter the tumor microenvironment in distant areas. Using intravital imaging and a reporter for STAT1 translocation, we provide evidence that T cells mediate sustained IFN-γ signaling in remote tumor cells. Furthermore, tumor phenotypic alterations required several hours of exposure to IFN-γ, a feature that disfavored local IFN-γ activity over diffusion and bystander activity. Finally, single-cell RNA-seq data from melanoma patients also suggested bystander IFN-γ activity in human tumors. Thus, tumor-reactive T cells act collectively to create large cytokine fields that profoundly modify the tumor microenvironment., Competing Interests: Competing interests statement The authors declare no competing interests.
Published: 2020
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25. LGP2 binds to PACT to regulate RIG-I- and MDA5-mediated antiviral responses.

Author: Sanchez David RY, Combredet C, Najburg V, Millot GA, Beauclair G, Schwikowski B, Léger T, Camadro JM, Jacob Y, Bellalou J, Jouvenet N, Tangy F, and Komarova AV
Subjects: Animals, Chlorocebus aethiops, DEAD Box Protein 58 genetics, Enterovirus B, Human genetics, Enterovirus B, Human physiology, HEK293 Cells, HeLa Cells, Humans, Interferon Type I genetics, Interferon Type I metabolism, Interferon-Induced Helicase, IFIH1 genetics, Mengovirus genetics, Mengovirus physiology, Protein Binding, RNA Helicases genetics, RNA, Small Interfering genetics, RNA, Small Interfering metabolism, RNA, Viral genetics, RNA, Viral metabolism, RNA-Binding Proteins genetics, Receptors, Immunologic, Signal Transduction genetics, Vero Cells, Antiviral Agents metabolism, DEAD Box Protein 58 metabolism, Interferon-Induced Helicase, IFIH1 metabolism, RNA Helicases metabolism, RNA-Binding Proteins metabolism
Abstract: The retinoic acid-inducible gene I (RIG-I)-like receptors (RLRs) RIG-I, MDA5, and LGP2 stimulate inflammatory and antiviral responses by sensing nonself RNA molecules produced during viral replication. Here, we investigated how LGP2 regulates the RIG-I- and MDA5-dependent induction of type I interferon (IFN) signaling and showed that LGP2 interacted with different components of the RNA-silencing machinery. We identified a direct protein-protein interaction between LGP2 and the IFN-inducible, double-stranded RNA binding protein PACT. The LGP2-PACT interaction was mediated by the regulatory C-terminal domain of LGP2 and was necessary for inhibiting RIG-I-dependent responses and for amplifying MDA5-dependent responses. We described a point mutation within LGP2 that disrupted the LGP2-PACT interaction and led to the loss of LGP2-mediated regulation of RIG-I and MDA5 signaling. These results suggest a model in which the LGP2-PACT interaction regulates the inflammatory responses mediated by RIG-I and MDA5 and enables the cellular RNA-silencing machinery to coordinate with the innate immune response., (Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
Published: 2019
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26. Single-Cell Analysis of Diverse Pathogen Responses Defines a Molecular Roadmap for Generating Antigen-Specific Immunity.

Author: Blecher-Gonen R, Bost P, Hilligan KL, David E, Salame TM, Roussel E, Connor LM, Mayer JU, Bahar Halpern K, Tóth B, Itzkovitz S, Schwikowski B, Ronchese F, and Amit I
Subjects: Animals, Humans, Mice, Immunity, Innate immunology, Single-Cell Analysis methods
Abstract: The immune system generates pathogen-tailored responses. The precise innate immune cell types and pathways that direct robust adaptive immune responses have not been fully characterized. By using fluorescent pathogens combined with massively parallel single-cell RNA-seq, we comprehensively characterized the initial 48 h of the innate immune response to diverse pathogens. We found that across all pathogens tested, most of the lymph node cell types and states showed little pathogen specificity. In contrast, the rare antigen-positive cells displayed pathogen-specific transcriptional programs as early as 24 h after immunization. In addition, mycobacteria activated a specific NK-driven IFNγ response. Depletion of NK cells and IFNγ showed that IFNγ initiated a monocyte-specific signaling cascade, leading to the production of major chemokines and cytokines that promote Th1 development. Our systems immunology approach sheds light on early events in innate immune responses and may help further development of safe and efficient vaccines., (Copyright © 2019 Elsevier Inc. All rights reserved.)
Published: 2019
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27. The Cytoscape Automation app article collection.

Author: Demchak B, Otasek D, Pico AR, Bader GD, Ono K, Settle B, Sage E, Morris JH, Longabaugh W, Lopes C, Kucera M, Treister A, Schwikowski B, Molenaar P, and Ideker T
Abstract: Cytoscape is the premiere platform for interactive analysis, integration and visualization of network data. While Cytoscape itself delivers much basic functionality, it relies on community-written apps to deliver specialized functions and analyses. To date, Cytoscape's CyREST feature has allowed researchers to write workflows that call basic Cytoscape functions, but provides no access to its high value app-based functions. With Cytoscape Automation, workflows can now call apps that have been upgraded to expose their functionality. This article collection is a resource to assist readers in quickly and economically leveraging such apps in reproducible workflows that scale independently to large data sets and production runs., Competing Interests: No competing interests were disclosed.
Published: 2018
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28. A Blood RNA Signature Detecting Severe Disease in Young Dengue Patients at Hospital Arrival.

Author: Nikolayeva I, Bost P, Casademont I, Duong V, Koeth F, Prot M, Czerwinska U, Ly S, Bleakley K, Cantaert T, Dussart P, Buchy P, Simon-Lorière E, Sakuntabhai A, and Schwikowski B
Subjects: Adolescent, Adult, Child, Child, Preschool, Coinfection blood, Coinfection diagnosis, Coinfection virology, Dengue Virus genetics, Female, Genetic Markers genetics, Hospitalization, Hospitals, Humans, Leukocytes, Mononuclear virology, Male, Prospective Studies, ROC Curve, Sensitivity and Specificity, Serogroup, Transcriptome genetics, Young Adult, RNA blood, Severe Dengue blood, Severe Dengue diagnosis
Abstract: Background: Early detection of severe dengue can improve patient care and survival. To date, no reliable single-gene biomarker exists. We hypothesized that robust multigene signatures exist., Methods: We performed a prospective study on Cambodian dengue patients aged 4 to 22 years. Peripheral blood mononuclear cells (PBMCs) were obtained at hospital admission. We analyzed 42 transcriptomic profiles of patients with secondary dengue infected with dengue serotype 1. Our novel signature discovery approach controls the number of included genes and captures nonlinear relationships between transcript concentrations and severity. We evaluated the signature on secondary cases infected with different serotypes using 2 datasets: 22 PBMC samples from additional patients in our cohort and 32 whole blood samples from an independent cohort., Results: We identified an 18-gene signature for detecting severe dengue in patients with secondary infection upon hospital admission with a sensitivity of 0.93 (95% confidence interval [CI], .82-.98), specificity of 0.67 (95% CI, .53-.80), and area under the receiver operating characteristic curve (AUC) of 0.86 (95% CI, .75-.97). At validation, the signature had empirical AUCs of 0.85 (95% CI, .69-1.00) and 0.83 (95% CI, .68-.98) for the PBMCs and whole blood datasets, respectively., Conclusions: The signature could detect severe dengue in secondary-infected patients upon hospital admission. Its genes offer new insights into the pathogenesis of severe dengue.
Published: 2018
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29. Network module identification-A widespread theoretical bias and best practices.

Author: Nikolayeva I, Guitart Pla O, and Schwikowski B
Subjects: Algorithms, Bias, Gene Expression Profiling, Gene Regulatory Networks, Humans, Computational Biology methods
Abstract: Biological processes often manifest themselves as coordinated changes across modules, i.e., sets of interacting genes. Commonly, the high dimensionality of genome-scale data prevents the visual identification of such modules, and straightforward computational search through a set of known pathways is a limited approach. Therefore, tools for the data-driven, computational, identification of modules in gene interaction networks have become popular components of visualization and visual analytics workflows. However, many such tools are known to result in modules that are large, and therefore hard to interpret biologically. Here, we show that the empirically known tendency towards large modules can be attributed to a statistical bias present in many module identification tools, and discuss possible remedies from a mathematical perspective. In the current absence of a straightforward practical solution, we outline our view of best practices for the use of the existing tools., (Copyright © 2017 Elsevier Inc. All rights reserved.)
Published: 2018
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30. Common and phylogenetically widespread coding for peptides by bacterial small RNAs.

Author: Friedman RC, Kalkhof S, Doppelt-Azeroual O, Mueller SA, Chovancová M, von Bergen M, and Schwikowski B
Subjects: Antitoxins genetics, Bacterial Toxins genetics, Internet, Machine Learning, Molecular Sequence Annotation, Open Reading Frames genetics, Ribosomes genetics, Bacteria genetics, Peptides genetics, Phylogeny, RNA, Bacterial genetics, RNA, Small Untranslated genetics
Abstract: Background: While eukaryotic noncoding RNAs have recently received intense scrutiny, it is becoming clear that bacterial transcription is at least as pervasive. Bacterial small RNAs and antisense RNAs (sRNAs) are often assumed to be noncoding, due to their lack of long open reading frames (ORFs). However, there are numerous examples of sRNAs encoding for small proteins, whether or not they also have a regulatory role at the RNA level., Methods: Here, we apply flexible machine learning techniques based on sequence features and comparative genomics to quantify the prevalence of sRNA ORFs under natural selection to maintain protein-coding function in 14 phylogenetically diverse bacteria. Importantly, we quantify uncertainty in our predictions, and follow up on them using mass spectrometry proteomics and comparison to datasets including ribosome profiling., Results: A majority of annotated sRNAs have at least one ORF between 10 and 50 amino acids long, and we conservatively predict that 409±191.7 unannotated sRNA ORFs are under selection to maintain coding (mean estimate and 95% confidence interval), an average of 29 per species considered here. This implies that overall at least 10.3±0.5% of sRNAs have a coding ORF, and in some species around 20% do. 165±69 of these novel coding ORFs have some antisense overlap to annotated ORFs. As experimental validation, many of our predictions are translated in published ribosome profiling data and are identified via mass spectrometry shotgun proteomics. B. subtilis sRNAs with coding ORFs are enriched for high expression in biofilms and confluent growth, and S. pneumoniae sRNAs with coding ORFs are involved in virulence. sRNA coding ORFs are enriched for transmembrane domains and many are predicted novel components of type I toxin/antitoxin systems., Conclusions: We predict over two dozen new protein-coding genes per bacterial species, but crucially also quantified the uncertainty in this estimate. Our predictions for sRNA coding ORFs, along with predicted novel type I toxins and tools for sorting and visualizing genomic context, are freely available in a user-friendly format at http://disco-bac.web.pasteur.fr. We expect these easily-accessible predictions to be a valuable tool for the study not only of bacterial sRNAs and type I toxin-antitoxin systems, but also of bacterial genetics and genomics.
Published: 2017
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31. Detecting multi-way epistasis in family-based association studies.

Author: Loucoubar C, Grant AV, Bureau JF, Casademont I, Bar NA, Bar-Hen A, Diop M, Faye J, Sarr FD, Badiane A, Tall A, Trape JF, Cliquet F, Schwikowski B, Lathrop M, Paul RE, and Sakuntabhai A
Subjects: Genome, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Models, Genetic, Pedigree, Epistasis, Genetic
Abstract: The era of genome-wide association studies (GWAS) has led to the discovery of numerous genetic variants associated with disease. Better understanding of whether these or other variants interact leading to differential risk compared with individual marker effects will increase our understanding of the genetic architecture of disease, which may be investigated using the family-based study design. We present M-TDT (the multi-locus transmission disequilibrium test), a tool for detecting family-based multi-locus multi-allelic effects for qualitative or quantitative traits, extended from the original transmission disequilibrium test (TDT). Tests to handle the comparison between additive and epistatic models, lack of independence between markers and multiple offspring are described. Performance of M-TDT is compared with a multifactor dimensionality reduction (MDR) approach designed for investigating families in the hypothesis-free genome-wide setting (the multifactor dimensionality reduction pedigree disequilibrium test, MDR-PDT). Other methods derived from the TDT or MDR to investigate genetic interaction in the family-based design are also discussed. The case of three independent biallelic loci is illustrated using simulations for one- to three-locus alternative hypotheses. M-TDT identified joint-locus effects and distinguished effectively between additive and epistatic models. We showed a practical example of M-TDT based on three genes already known to be implicated in malaria susceptibility. Our findings demonstrate the value of M-TDT in a hypothesis-driven context to test for multi-way epistasis underlying common disease etiology, whereas MDR-PDT-based methods are more appropriate in a hypothesis-free genome-wide setting., (© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
Published: 2017
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32. Network-based analysis of omics data: the LEAN method.

Author: Gwinner F, Boulday G, Vandiedonck C, Arnould M, Cardoso C, Nikolayeva I, Guitart-Pla O, Denis CV, Christophe OD, Beghain J, Tournier-Lasserve E, and Schwikowski B
Subjects: Animals, Hemangioma, Cavernous, Central Nervous System genetics, Hemangioma, Cavernous, Central Nervous System metabolism, Humans, Mice, Proteins genetics, von Willebrand Factor genetics, Computational Biology methods, Gene Regulatory Networks, Software, Transcriptome
Abstract: Motivation: Most computational approaches for the analysis of omics data in the context of interaction networks have very long running times, provide single or partial, often heuristic, solutions and/or contain user-tuneable parameters., Results: We introduce local enrichment analysis (LEAN) for the identification of dysregulated subnetworks from genome-wide omics datasets. By substituting the common subnetwork model with a simpler local subnetwork model, LEAN allows exact, parameter-free, efficient and exhaustive identification of local subnetworks that are statistically dysregulated, and directly implicates single genes for follow-up experiments., Evaluation on simulated and biological data suggests that LEAN generally detects dysregulated subnetworks better, and reflects biological similarity between experiments more clearly than standard approaches. A strong signal for the local subnetwork around Von Willebrand Factor (VWF), a gene which showed no change on the mRNA level, was identified by LEAN in transcriptome data in the context of the genetic disease Cerebral Cavernous Malformations (CCM). This signal was experimentally found to correspond to an unexpected strong cellular effect on the VWF protein. LEAN can be used to pinpoint statistically significant local subnetworks in any genome-scale dataset., Availability and Implementation: The R-package LEANR implementing LEAN is supplied as supplementary material and available on CRAN ( https://cran.r-project.org )., Contacts: benno@pasteur.fr or tournier-lasserve@univ-paris-diderot.fr., Supplementary Information: Supplementary data are available at Bioinformatics online., (© The Author 2016. Published by Oxford University Press.)
Published: 2017
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33. From the exposome to mechanistic understanding of chemical-induced adverse effects.

Author: Escher BI, Hackermüller J, Polte T, Scholz S, Aigner A, Altenburger R, Böhme A, Bopp SK, Brack W, Busch W, Chadeau-Hyam M, Covaci A, Eisenträger A, Galligan JJ, Garcia-Reyero N, Hartung T, Hein M, Herberth G, Jahnke A, Kleinjans J, Klüver N, Krauss M, Lamoree M, Lehmann I, Luckenbach T, Miller GW, Müller A, Phillips DH, Reemtsma T, Rolle-Kampczyk U, Schüürmann G, Schwikowski B, Tan YM, Trump S, Walter-Rohde S, and Wambaugh JF
Subjects: Animals, Humans, Risk Assessment, Environmental Exposure, Environmental Pollutants toxicity
Abstract: The exposome encompasses an individual's exposure to exogenous chemicals, as well as endogenous chemicals that are produced or altered in response to external stressors. While the exposome concept has been established for human health, its principles can be extended to include broader ecological issues. The assessment of exposure is tightly interlinked with hazard assessment. Here, we explore if mechanistic understanding of the causal links between exposure and adverse effects on human health and the environment can be improved by integrating the exposome approach with the adverse outcome pathway (AOP) concept that structures and organizes the sequence of biological events from an initial molecular interaction of a chemical with a biological target to an adverse outcome. Complementing exposome research with the AOP concept may facilitate a mechanistic understanding of stress-induced adverse effects, examine the relative contributions from various components of the exposome, determine the primary risk drivers in complex mixtures, and promote an integrative assessment of chemical risks for both human and environmental health., (Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Published: 2017
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34. Bacterial Internalization, Localization, and Effectors Shape the Epithelial Immune Response during Shigella flexneri Infection.

Author: Lippmann J, Gwinner F, Rey C, Tamir U, Law HK, Schwikowski B, and Enninga J
Subjects: Flow Cytometry, Fluorescence Resonance Energy Transfer, HeLa Cells, Humans, Reverse Transcriptase Polymerase Chain Reaction, Shigella flexneri immunology, Transfection, Dysentery, Bacillary immunology
Abstract: Intracellular pathogens are differentially sensed by the compartmentalized host immune system. Nevertheless, gene expression studies of infected cells commonly average the immune responses, neglecting the precise pathogen localization. To overcome this limitation, we dissected the transcriptional immune response to Shigella flexneri across different infection stages in bulk and single cells. This identified six distinct transcriptional profiles characterizing the dynamic, multilayered host response in both bystander and infected cells. These profiles were regulated by external and internal danger signals, as well as whether bacteria were membrane bound or cytosolic. We found that bacterial internalization triggers a complex, effector-independent response in bystander cells, possibly to compensate for the undermined host gene expression in infected cells caused by bacterial effectors, particularly OspF. Single-cell analysis revealed an important bacterial strategy to subvert host responses in infected cells, demonstrating that OspF disrupts concomitant gene expression of proinflammatory, apoptosis, and stress pathways within cells. This study points to novel mechanisms through which bacterial internalization, localization, and injected effectors orchestrate immune response transcriptional signatures., (Copyright © 2015, American Society for Microbiology. All Rights Reserved.)
Published: 2015
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35. The Cyni framework for network inference in Cytoscape.

Author: Guitart-Pla O, Kustagi M, Rügheimer F, Califano A, and Schwikowski B
Subjects: Algorithms, Gene Regulatory Networks, Software
Abstract: Motivation: Research on methods for the inference of networks from biological data is making significant advances, but the adoption of network inference in biomedical research practice is lagging behind. Here, we present Cyni, an open-source 'fill-in-the-algorithm' framework that provides common network inference functionality and user interface elements. Cyni allows the rapid transformation of Java-based network inference prototypes into apps of the popular open-source Cytoscape network analysis and visualization ecosystem. Merely placing the resulting app in the Cytoscape App Store makes the method accessible to a worldwide community of biomedical researchers by mouse click. In a case study, we illustrate the transformation of an ARACNE implementation into a Cytoscape app., Availability and Implementation: Cyni, its apps, user guides, documentation and sample code are available from the Cytoscape App Store http://apps.cytoscape.org/apps/cynitoolbox, Contact: benno.schwikowski@pasteur.fr., (© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
Published: 2015
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36. Automated flow cytometric analysis across large numbers of samples and cell types.

Author: Chen X, Hasan M, Libri V, Urrutia A, Beitz B, Rouilly V, Duffy D, Patin É, Chalmond B, Rogge L, Quintana-Murci L, Albert ML, and Schwikowski B
Subjects: B-Lymphocytes, Bayes Theorem, Cluster Analysis, Dendritic Cells, Humans, Killer Cells, Natural, Monocytes, Neutrophils, Reference Standards, Software, Statistics as Topic, T-Lymphocyte Subsets, T-Lymphocytes, Algorithms, Automation, Laboratory methods, Flow Cytometry methods
Abstract: Multi-parametric flow cytometry is a key technology for characterization of immune cell phenotypes. However, robust high-dimensional post-analytic strategies for automated data analysis in large numbers of donors are still lacking. Here, we report a computational pipeline, called FlowGM, which minimizes operator input, is insensitive to compensation settings, and can be adapted to different analytic panels. A Gaussian Mixture Model (GMM)-based approach was utilized for initial clustering, with the number of clusters determined using Bayesian Information Criterion. Meta-clustering in a reference donor permitted automated identification of 24 cell types across four panels. Cluster labels were integrated into FCS files, thus permitting comparisons to manual gating. Cell numbers and coefficient of variation (CV) were similar between FlowGM and conventional gating for lymphocyte populations, but notably FlowGM provided improved discrimination of "hard-to-gate" monocyte and dendritic cell (DC) subsets. FlowGM thus provides rapid high-dimensional analysis of cell phenotypes and is amenable to cohort studies., (Copyright © 2015. Published by Elsevier Inc.)
Published: 2015
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37. Filter-free exhaustive odds ratio-based genome-wide interaction approach pinpoints evidence for interaction in the HLA region in psoriasis.

Author: Grange L, Bureau JF, Nikolayeva I, Paul R, Van Steen K, Schwikowski B, and Sakuntabhai A
Subjects: Chromosomes, Human, Pair 6, Humans, Odds Ratio, Polymorphism, Single Nucleotide, Epistasis, Genetic, Genome-Wide Association Study methods, Histocompatibility Antigens genetics, Psoriasis genetics, Software
Abstract: Background: Deciphering the genetic architecture of complex traits is still a major challenge for human genetics. In most cases, genome-wide association studies have only partially explained the heritability of traits and diseases. Epistasis, one potentially important cause of this missing heritability, is difficult to explore at the genome-wide level. Here, we develop and assess a tool based on interactive odds ratios (IOR), Fast Odds Ratio-based sCan for Epistasis (FORCE), as a novel approach for exhaustive genome-wide epistasis search. IOR is the ratio between the multiplicative term of the odds ratio (OR) of having each variant over the OR of having both of them. By definition, an IOR that significantly deviates from 1 suggests the occurrence of an interaction (epistasis). As the IOR is fast to calculate, we used the IOR to rank and select pairs of interacting polymorphisms for P value estimation, which is more time consuming., Results: FORCE displayed power and accuracy similar to existing parametric and non-parametric methods, and is fast enough to complete a filter-free genome-wide epistasis search in a few days on a standard computer. Analysis of psoriasis data uncovered novel epistatic interactions in the HLA region, corroborating the known major and complex role of the HLA region in psoriasis susceptibility., Conclusions: Our systematic study revealed the ability of FORCE to uncover novel interactions, highlighted the importance of exhaustiveness, as well as its specificity for certain types of interactions that were not detected by existing approaches. We therefore believe that FORCE is a valuable new tool for decoding the genetic basis of complex diseases.
Published: 2015
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38. The Cytoscape app article collection.

Author: Pico AR, Bader GD, Demchak B, Guitart Pla O, Hull T, Longabaugh W, Lopes C, Lotia S, Molenaar P, Montojo J, Morris JH, Ono K, Schwikowski B, Welker D, and Ideker T
Abstract: As a network visualization and analysis platform, Cytoscape relies on apps to provide domain-specific features and functions. There are many resources available to support Cytoscape app development and distribution, including the Cytoscape App Store and an online "cookbook" for app developers. This article collection is another resource to help researchers find out more about relevant Cytoscape apps and to provide app developers with useful implementation tips. The collection will grow over time as new Cytoscape apps are developed and published.
Published: 2014
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39. Analysis of time-resolved gene expression measurements across individuals.

Author: Elo LL and Schwikowski B
Subjects: Adaptor Proteins, Signal Transducing metabolism, Cell Differentiation, Databases, Genetic, Humans, Reproducibility of Results, Software, Th2 Cells cytology, Th2 Cells metabolism, Time Factors, Gene Expression Profiling methods, Gene Expression Regulation
Abstract: Genetic and environmental determinants of altered cellular function, disease state, and drug response are increasingly studied using time-resolved transcriptomic profiles. While it is widely acknowledged that the rate of biological processes may vary between individuals, data analysis approaches that go beyond evaluating differential expression of single genes have so far not taken this variability into account. To this end, we introduce here a robust multi-gene data analysis approach and evaluate it in a biomarker discovery scenario across four publicly available datasets. In our evaluation, existing methods perform surprisingly poorly on time-resolved data; only the approach taking the variability into account yields reproducible and biologically plausible results. Our results indicate the need to capture gene expression between potentially heterogeneous individuals at multiple time points, and highlight the importance of robust data analysis in the presence of heterogeneous gene expression responses.
Published: 2013
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40. TLM-Quant: an open-source pipeline for visualization and quantification of gene expression heterogeneity in growing microbial cells.

Author: Piersma S, Denham EL, Drulhe S, Tonk RH, Schwikowski B, and van Dijl JM
Subjects: Bacillus subtilis growth & development, Green Fluorescent Proteins genetics, Bacillus subtilis genetics, Gene Expression, Microscopy, Fluorescence methods
Abstract: Gene expression heterogeneity is a key driver for microbial adaptation to fluctuating environmental conditions, cell differentiation and the evolution of species. This phenomenon has therefore enormous implications, not only for life in general, but also for biotechnological applications where unwanted subpopulations of non-producing cells can emerge in large-scale fermentations. Only time-lapse fluorescence microscopy allows real-time measurements of gene expression heterogeneity. A major limitation in the analysis of time-lapse microscopy data is the lack of fast, cost-effective, open, simple and adaptable protocols. Here we describe TLM-Quant, a semi-automatic pipeline for the analysis of time-lapse fluorescence microscopy data that enables the user to visualize and quantify gene expression heterogeneity. Importantly, our pipeline builds on the open-source packages ImageJ and R. To validate TLM-Quant, we selected three possible scenarios, namely homogeneous expression, highly 'noisy' heterogeneous expression, and bistable heterogeneous expression in the Gram-positive bacterium Bacillus subtilis. This bacterium is both a paradigm for systems-level studies on gene expression and a highly appreciated biotechnological 'cell factory'. We conclude that the temporal resolution of such analyses with TLM-Quant is only limited by the numbers of recorded images.
Published: 2013
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41. Identification of additional proteins in differential proteomics using protein interaction networks.

Author: Gwinner F, Acosta-Martin AE, Boytard L, Chwastyniak M, Beseme O, Drobecq H, Duban-Deweer S, Juthier F, Jude B, Amouyel P, Pinet F, and Schwikowski B
Subjects: Cell Extracts, Cells, Cultured, Databases, Protein, Electrophoresis, Gel, Two-Dimensional, Humans, Myocytes, Smooth Muscle cytology, Myocytes, Smooth Muscle metabolism, Reproducibility of Results, Software, Muscle Proteins metabolism, Protein Interaction Maps, Proteomics methods
Abstract: In this study, we developed a novel computational approach based on protein-protein interaction networks to identify a list of proteins that might have remained undetected in differential proteomic profiling experiments. We tested our computational approach on two sets of human smooth muscle cell protein extracts that were affected differently by DNase I treatment. Differential proteomic analysis by saturation DIGE resulted in the identification of 41 human proteins. The application of our approach to these 41 input proteins consisted of four steps: (i) Compilation of a human protein-protein interaction network from public databases; (ii) calculation of interaction scores based on functional similarity; (iii) determination of a set of candidate proteins that are needed to efficiently and confidently connect the 41 input proteins; and (iv) ranking of the resulting 25 candidate proteins. Two of the three highest-ranked proteins, beta-arrestin 1, and beta-arrestin 2, were experimentally tested, revealing that their abundance levels in human smooth muscle cell samples were indeed affected by DNase I treatment. These proteins had not been detected during the experimental proteomic analysis. Our study suggests that our computational approach may represent a simple, universal, and cost-effective means to identify additional proteins that remain elusive for current 2D gel-based proteomic profiling techniques., (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
Published: 2013
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42. Automated phosphopeptide identification using multiple MS/MS fragmentation modes.

Author: Vandenbogaert M, Hourdel V, Jardin-Mathé O, Bigeard J, Bonhomme L, Legros V, Hirt H, Schwikowski B, and Pflieger D
Subjects: Amino Acid Sequence, Arabidopsis Proteins isolation & purification, Arabidopsis Proteins metabolism, Consensus Sequence, Databases, Protein, Electronic Data Processing instrumentation, Internet, Phosphopeptides metabolism, Phosphorylation, Proteomics methods, Search Engine, Sensitivity and Specificity, Sequence Analysis, Protein, Arabidopsis metabolism, Computational Biology methods, Electronic Data Processing methods, Phosphopeptides isolation & purification, Software, Tandem Mass Spectrometry methods
Abstract: Phosphopeptide identification is still a challenging task because fragmentation spectra obtained by mass spectrometry do not necessarily contain sufficient fragment ions to establish with certainty the underlying amino acid sequence and the precise phosphosite. To improve upon this, it has been suggested to acquire pairs of spectra from every phosphorylated precursor ion using different fragmentation modes, for example CID, ETD, and/or HCD. The development of automated tools for the interpretation of these paired spectra has however, until now, lagged behind. Using phosphopeptide samples analyzed by an LTQ-Orbitrap instrument, we here assess an approach in which, on each selected precursor, a pair of CID spectra, with or without multistage activation (MSA or MS2, respectively), are acquired in the linear ion trap. We applied this approach on phosphopeptide samples of variable proteomic complexity obtained from Arabidopsis thaliana . We present a straightforward computational approach to reconcile sequence and phosphosite identifications provided by the database search engine Mascot on the spectrum pairs, using two simple filtering rules, at the amino acid sequence and phosphosite localization levels. If multiple sequences and/or phosphosites are likely, they are reported in the consensus sequence. Using our program FragMixer, we could assess that on samples of moderate complexity, it was worth combining the two fragmentation schemes on every precursor ion to help efficiently identify amino acid sequences and precisely localize phosphosites. FragMixer can be flexibly configured, independently of the Mascot search parameters, and can be applied to various spectrum pairs, such as MSA/ETD and ETD/HCD, to automatically compare and combine the information provided by these more differing fragmentation modes. The software is openly accessible and can be downloaded from our Web site at http://proteomics.fr/FragMixer.
Published: 2012
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43. Feature detection with controlled error rates in LC/MS images.

Author: Li-Thiao-Té S and Schwikowski B
Subjects: Models, Statistical, Algorithms, Chromatography, Liquid methods, Mass Spectrometry methods, Peptides chemistry
Abstract: The Median M-N rule is a feature detection algorithm to detect peptide signals in Liquid Chromatography/Mass Spectrometry (LC/MS) images. As the procedure does not adequately control the statistical errors, we investigate an extension of the Median M-N rule to compute a statistical bound on the false-positive rate. We then study the false-negative rate and provide insights on the types of signal that can be detected by the M-N rule and the limit of detection. The resulting feature detection algorithm, which we term Quantile M-N rule, can be used in most feature detection algorithms to provide statistical control of the false-positive and false-negative rate.
Published: 2012
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44. Global network reorganization during dynamic adaptations of Bacillus subtilis metabolism.

Author: Buescher JM, Liebermeister W, Jules M, Uhr M, Muntel J, Botella E, Hessling B, Kleijn RJ, Le Chat L, Lecointe F, Mäder U, Nicolas P, Piersma S, Rügheimer F, Becher D, Bessieres P, Bidnenko E, Denham EL, Dervyn E, Devine KM, Doherty G, Drulhe S, Felicori L, Fogg MJ, Goelzer A, Hansen A, Harwood CR, Hecker M, Hubner S, Hultschig C, Jarmer H, Klipp E, Leduc A, Lewis P, Molina F, Noirot P, Peres S, Pigeonneau N, Pohl S, Rasmussen S, Rinn B, Schaffer M, Schnidder J, Schwikowski B, Van Dijl JM, Veiga P, Walsh S, Wilkinson AJ, Stelling J, Aymerich S, and Sauer U
Subjects: Algorithms, Bacterial Proteins metabolism, Computer Simulation, Data Interpretation, Statistical, Gene Expression Regulation, Bacterial, Genome, Bacterial, Metabolome, Metabolomics, Models, Biological, Operon, Promoter Regions, Genetic, Transcription Factors metabolism, Transcription, Genetic, Adaptation, Physiological, Bacillus subtilis genetics, Bacillus subtilis metabolism, Gene Regulatory Networks, Glucose metabolism, Malates metabolism, Metabolic Networks and Pathways genetics
Abstract: Adaptation of cells to environmental changes requires dynamic interactions between metabolic and regulatory networks, but studies typically address only one or a few layers of regulation. For nutritional shifts between two preferred carbon sources of Bacillus subtilis, we combined statistical and model-based data analyses of dynamic transcript, protein, and metabolite abundances and promoter activities. Adaptation to malate was rapid and primarily controlled posttranscriptionally compared with the slow, mainly transcriptionally controlled adaptation to glucose that entailed nearly half of the known transcription regulation network. Interactions across multiple levels of regulation were involved in adaptive changes that could also be achieved by controlling single genes. Our analysis suggests that global trade-offs and evolutionary constraints provide incentives to favor complex control programs.
Published: 2012
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45. Condition-dependent transcriptome reveals high-level regulatory architecture in Bacillus subtilis.

Author: Nicolas P, Mäder U, Dervyn E, Rochat T, Leduc A, Pigeonneau N, Bidnenko E, Marchadier E, Hoebeke M, Aymerich S, Becher D, Bisicchia P, Botella E, Delumeau O, Doherty G, Denham EL, Fogg MJ, Fromion V, Goelzer A, Hansen A, Härtig E, Harwood CR, Homuth G, Jarmer H, Jules M, Klipp E, Le Chat L, Lecointe F, Lewis P, Liebermeister W, March A, Mars RA, Nannapaneni P, Noone D, Pohl S, Rinn B, Rügheimer F, Sappa PK, Samson F, Schaffer M, Schwikowski B, Steil L, Stülke J, Wiegert T, Devine KM, Wilkinson AJ, van Dijl JM, Hecker M, Völker U, Bessières P, and Noirot P
Subjects: Adaptation, Physiological, Algorithms, Binding Sites, Gene Expression Profiling, Gene Regulatory Networks, Oligonucleotide Array Sequence Analysis, RNA, Antisense genetics, RNA, Antisense metabolism, RNA, Bacterial genetics, RNA, Bacterial metabolism, RNA, Messenger genetics, RNA, Messenger metabolism, Regulon, Sigma Factor metabolism, Terminator Regions, Genetic, Bacillus subtilis genetics, Bacillus subtilis physiology, Gene Expression Regulation, Bacterial, Promoter Regions, Genetic, Transcription, Genetic, Transcriptome
Abstract: Bacteria adapt to environmental stimuli by adjusting their transcriptomes in a complex manner, the full potential of which has yet to be established for any individual bacterial species. Here, we report the transcriptomes of Bacillus subtilis exposed to a wide range of environmental and nutritional conditions that the organism might encounter in nature. We comprehensively mapped transcription units (TUs) and grouped 2935 promoters into regulons controlled by various RNA polymerase sigma factors, accounting for ~66% of the observed variance in transcriptional activity. This global classification of promoters and detailed description of TUs revealed that a large proportion of the detected antisense RNAs arose from potentially spurious transcription initiation by alternative sigma factors and from imperfect control of transcription termination.
Published: 2012
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46. Fragmentation-free LC-MS can identify hundreds of proteins.

Author: Bochet P, Rügheimer F, Guina T, Brooks P, Goodlett D, Clote P, and Schwikowski B
Subjects: Francisella tularensis metabolism, Peptides metabolism, Proteins metabolism, Chromatography, High Pressure Liquid, Computational Biology, Tandem Mass Spectrometry methods
Abstract: One of the most common approaches for large-scale protein identification is LC, followed by MS. If more than a few proteins are to be identified, the additional fragmentation of individual peptides has so far been considered as indispensable, and thus, the associated costs, in terms of instrument time and infrastructure, as unavoidable. Here, we present evidence to the contrary. Using a combination of (i) highly accurate and precise mass measurements, (ii) modern retention time prediction, and (iii) a robust scoring algorithm, we were able to identify 257 proteins of Francisella tularensis from a single LC-MS experiment in a fragmentation-free approach (i.e. without experimental fragmentation spectra). This number amounts to 59% of the number of proteins identified in a standard fragmentation-based approach, when executed with the same false discovery rate. Independent evidence supports at least 27 of a set of 31 proteins that were identified only in the fragmentation-free approach. Our results suggest that additional developments in retention time prediction, measurement technology, and scoring algorithms may render fragmentation-free approaches an interesting complement or an alternative to fragmentation-based approaches., (Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
Published: 2011
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47. Evolution of metabolic network organization.

Author: Mazurie A, Bonchev D, Schwikowski B, and Buck GA
Subjects: Algorithms, Artificial Intelligence, Bacteria metabolism, Cell Movement, Computational Biology methods, Evolution, Molecular, Gene Regulatory Networks, Humans, Models, Biological, Protein Interaction Mapping, Metabolic Networks and Pathways genetics, Systems Biology
Abstract: Background: Comparison of metabolic networks across species is a key to understanding how evolutionary pressures shape these networks. By selecting taxa representative of different lineages or lifestyles and using a comprehensive set of descriptors of the structure and complexity of their metabolic networks, one can highlight both qualitative and quantitative differences in the metabolic organization of species subject to distinct evolutionary paths or environmental constraints., Results: We used a novel representation of metabolic networks, termed network of interacting pathways or NIP, to focus on the modular, high-level organization of the metabolic capabilities of the cell. Using machine learning techniques we identified the most relevant aspects of cellular organization that change under evolutionary pressures. We considered the transitions from prokarya to eukarya (with a focus on the transitions among the archaea, bacteria and eukarya), from unicellular to multicellular eukarya, from free living to host-associated bacteria, from anaerobic to aerobic, as well as the acquisition of cell motility or growth in an environment of various levels of salinity or temperature. Intuitively, we expect organisms with more complex lifestyles to have more complex and robust metabolic networks. Here we demonstrate for the first time that such organisms are not only characterized by larger, denser networks of metabolic pathways but also have more efficiently organized cross communications, as revealed by subtle changes in network topology. These changes are unevenly distributed among metabolic pathways, with specific categories of pathways being promoted to more central locations as an answer to environmental constraints., Conclusions: Combining methods from graph theory and machine learning, we have shown here that evolutionary pressures not only affects gene and protein sequences, but also specific details of the complex wiring of functional modules in the cell. This approach allows the identification and quantification of those changes, and provides an overview of the evolution of intracellular systems.
Published: 2010
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48. MUDE: a new approach for optimizing sensitivity in the target-decoy search strategy for large-scale peptide/protein identification.

Author: Cerqueira FR, Graber A, Schwikowski B, and Baumgartner C
Subjects: Algorithms, Animals, Databases, Protein, Humans, Linear Models, Multivariate Analysis, Phosphoproteins chemistry, Proteins chemistry, Sensitivity and Specificity, Tandem Mass Spectrometry, Data Mining methods, Peptide Mapping methods, Peptides chemistry, Proteomics methods
Abstract: The target-decoy search strategy has been successfully applied in shotgun proteomics for validating peptide and protein identifications. If, on one hand, this method has proven to be very efficient for error estimation, on the other hand, little attention has been paid to the resulting sensitivity. Only two scores are normally used and thresholds are explored in a very simplistic way. In this work, a multivariate decoy analysis is described, where many quality parameters are considered. This analysis is treated in our approach as an optimization problem for sensitivity maximization. Furthermore, an efficient heuristic is proposed to solve this problem. Experiments comparing our method, termed MUDE (multivariate decoy database analysis), with traditional bivariate decoy analysis and with Peptide/ProteinProphet showed that our procedure significantly enhances the retrieved number of identifications when comparing the same false discovery rates. Particularly for phosphopeptide/protein identifications, we could demonstrate more than a two-fold increase in sensitivity compared with the Trans-Proteomic Pipeline tools.
Published: 2010
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49. Phylogenetic distances are encoded in networks of interacting pathways.

Author: Mazurie A, Bonchev D, Schwikowski B, and Buck GA
Subjects: Models, Biological, RNA, Ribosomal, 16S genetics, Metabolomics, Phylogeny
Abstract: Motivation: Although metabolic reactions are unquestionably shaped by evolutionary processes, the degree to which the overall structure and complexity of their interconnections are linked to the phylogeny of species has not been evaluated in depth. Here, we apply an original metabolome representation, termed Network of Interacting Pathways or NIP, with a combination of graph theoretical and machine learning strategies, to address this question. NIPs compress the information of the metabolic network exhibited by a species into much smaller networks of overlapping metabolic pathways, where nodes are pathways and links are the metabolites they exchange., Results: Our analysis shows that a small set of descriptors of the structure and complexity of the NIPs combined into regression models reproduce very accurately reference phylogenetic distances derived from 16S rRNA sequences (10-fold cross-validation correlation coefficient higher than 0.9). Our method also showed better scores than previous work on metabolism-based phylogenetic reconstructions, as assessed by branch distances score, topological similarity and second cousins score. Thus, our metabolome representation as network of overlapping metabolic pathways captures sufficient information about the underlying evolutionary events leading to the formation of metabolic networks and species phylogeny. It is important to note that precise knowledge of all of the reactions in these pathways is not required for these reconstructions. These observations underscore the potential for the use of abstract, modular representations of metabolic reactions as tools in studying the evolution of species., Supplementary Information: Supplementary data are available at Bioinformatics online.
Published: 2008
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50. Alignment of LC-MS images, with applications to biomarker discovery and protein identification.

Author: Vandenbogaert M, Li-Thiao-Té S, Kaltenbach HM, Zhang R, Aittokallio T, and Schwikowski B
Subjects: Algorithms, Computational Biology methods, Electronic Data Processing, Peptide Library, Proteins isolation & purification, Reproducibility of Results, Validation Studies as Topic, Biomarkers analysis, Chromatography, High Pressure Liquid, Mass Spectrometry, Proteins analysis, Proteomics methods
Abstract: LC-MS-based approaches have gained considerable interest for the analysis of complex peptide or protein mixtures, due to their potential for full automation and high sampling rates. Advances in resolution and accuracy of modern mass spectrometers allow new analytical LC-MS-based applications, such as biomarker discovery and cross-sample protein identification. Many of these applications compare multiple LC-MS experiments, each of which can be represented as a 2-D image. In this article, we survey current approaches to LC-MS image alignment. LC-MS image alignment corrects for experimental variations in the chromatography and represents a computational key technology for the comparison of LC-MS experiments. It is a required processing step for its two major applications: biomarker discovery and protein identification. Along with descriptions of the computational analysis approaches, we discuss their relative merits and potential pitfalls.
Published: 2008
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