281 results on '"Barnes, KC"'
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2. A first update on mapping the human genetic architecture of COVID-19
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COVID-19 Host Genetics Initiative, Pathak, GA, Karjalainen, J, Stevens, C, Neale, BM, Daly, M, Ganna, A, Andrews, SJ, Kanai, M, Cordioli, M, Polimanti, R, Harerimana, N, Pirinen, M, Liao, RG, Chwialkowska, K, Trankiem, A, Balaconis, MK, Nguyen, H, Solomonson, M, Veerapen, K, Wolford, B, Roberts, G, Park, D, Ball, CA, Coignet, M, McCurdy, S, Knight, S, Partha, R, Rhead, B, Zhang, M, Berkowitz, N, Gaddis, M, Noto, K, Ruiz, L, Pavlovic, M, Hong, EL, Rand, K, Girshick, A, Guturu, H, Baltzell, AH, Niemi, MEK, Rahmouni, S, Guntz, J, Beguin, Y, Pigazzini, S, Nkambule, L, Georges, M, Moutschen, M, Misset, B, Darcis, G, Guiot, J, Azarzar, S, Gofflot, S, Claassen, S, Malaise, O, Huynen, P, Meuris, C, Thys, M, Jacques, J, Leonard, P, Frippiat, F, Giot, J-B, Sauvage, A-S, Frenckell, CV, Belhaj, Y, Lambermont, B, Nakanishi, T, Morrison, DR, Mooser, V, Richards, JB, Butler-Laporte, G, Forgetta, V, Li, R, Ghosh, B, Laurent, L, Belisle, A, Henry, D, Abdullah, T, Adeleye, O, Mamlouk, N, Kimchi, N, Afrasiabi, Z, Rezk, N, Vulesevic, B, Bouab, M, Guzman, C, Petitjean, L, Tselios, C, Xue, X, Afilalo, J, Afilalo, M, Oliveira, M, Brenner, B, Brassard, N, Durand, M, Schurr, E, Lepage, P, Ragoussis, J, Auld, D, Chassé, M, Kaufmann, DE, Lathrop, GM, Adra, D, Hayward, C, Glessner, JT, Shaw, DM, Campbell, A, Morris, M, Hakonarson, H, Porteous, DJ, Below, J, Richmond, A, Chang, X, Polikowski, H, Lauren, PE, Chen, H-H, Wanying, Z, Fawns-Ritchie, C, North, K, McCormick, JB, Glessner, JR, Gignoux, CR, Wicks, SJ, Crooks, K, Barnes, KC, Daya, M, Shortt, J, Rafaels, N, Chavan, S, Timmers, PRHJ, Wilson, JF, Tenesa, A, Kerr, SM, D’Mellow, K, Shahin, D, El-Sherbiny, YM, von Hohenstaufen, KA, Sobh, A, Eltoukhy, MM, Nkambul, L, Elhadidy, TA, Abd Elghafar, MS, El-Jawhari, JJ, Mohamed, AAS, Elnagdy, MH, Samir, A, Abdel-Aziz, M, Khafaga, WT, El-Lawaty, WM, Torky, MS, El-shanshory, MR, Yassen, AM, Hegazy, MAF, Okasha, K, Eid, MA, Moahmed, HS, Medina-Gomez, C, Ikram, MA, Uitterlinden, AG, Mägi, R, Milani, L, Metspalu, A, Laisk, T, Läll, K, Lepamets, M, Esko, T, Reimann, E, Naaber, P, Laane, E, Pesukova, J, Peterson, P, Kisand, K, Tabri, J, Allos, R, Hensen, K, Starkopf, J, Ringmets, I, Tamm, A, Kallaste, A, Alavere, H, Metsalu, K, Puusepp, M, Batini, C, Tobin, MD, Venn, LD, Lee, PH, Shrine, N, Williams, AT, Guyatt, AL, John, C, Packer, RJ, Ali, A, Free, RC, Wang, X, Wain, LV, Hollox, EJ, Bee, CE, Adams, EL, Palotie, A, Ripatti, S, Ruotsalainen, S, Kristiansson, K, Koskelainen, S, Perola, M, Donner, K, Kivinen, K, Kaunisto, M, Rivolta, C, Bochud, P-Y, Bibert, S, Boillat, N, Nussle, SG, Albrich, W, Quinodoz, M, Kamdar, D, Suh, N, Neofytos, D, Erard, V, Voide, C, Friolet, R, Vollenweider, P, Pagani, JL, Oddo, M, zu Bentrup, FM, Conen, A, Clerc, O, Marchetti, O, Guillet, A, Guyat-Jacques, C, Foucras, S, Rime, M, Chassot, J, Jaquet, M, Viollet, RM, Lannepoudenx, Y, Portopena, L, Bochud, PY, Desgranges, F, Filippidis, P, Guéry, B, Haefliger, D, Kampouri, EE, Manuel, O, Munting, A, Papadimitriou-Olivgeris, M, Regina, J, Rochat-Stettler, L, Suttels, V, Tadini, E, Tschopp, J, Van Singer, M, Viala, B, Boillat-Blanco, N, Brahier, T, Hügli, O, Meuwly, JY, Pantet, O, Gonseth Nussle, S, Bochud, M, D’Acremont, V, Estoppey Younes, S, Albrich, WC, Cerny, A, O’Mahony, L, von Mering, C, Frischknecht, M, Kleger, G-R., Filipovic, M, Kahlert, CR, Wozniak, H, Negro, TR, Pugin, J, Bouras, K, Knapp, C, Egger, T, Perret, A, Montillier, P, di Bartolomeo, C, Barda, B, de Cid, R, Carreras, A, Moreno, V, Kogevinas, M, Galván-Femenía, I, Blay, N, Farré, X, Sumoy, L, Cortés, B, Mercader, JM, Guindo-Martinez, M, Torrents, D, Garcia-Aymerich, J, Castaño-Vinyals, G, Dobaño, C, Gori, M, Renieri, A, Mari, F, Mondelli, MU, Castelli, F, Vaghi, M, Rusconi, S, Montagnani, F, Bargagli, E, Franchi, F, Mazzei, MA, Cantarini, L, Tacconi, D, Feri, M, Scala, R, Spargi, G, Nencioni, C, Bandini, M, Caldarelli, GP, Canaccini, A, Ognibene, A, D’Arminio Monforte, A, Girardis, M, Antinori, A, Francisci, D, Schiaroli, E, Scotton, PG, Panese, S, Scaggiante, R, Monica, MD, Capasso, M, Fiorentino, G, Castori, M, Aucella, F, Biagio, AD, Masucci, L, Valente, S, Mandalà, M, Zucchi, P, Giannattasio, F, Coviello, DA, Mussini, C, Tavecchia, L, Crotti, L, Rizzi, M, Rovere, MTL, Sarzi-Braga, S, Bussotti, M, Ravaglia, S, Artuso, R, Perrella, A, Romani, D, Bergomi, P, Catena, E, Vincenti, A, Ferri, C, Grassi, D, Pessina, G, Tumbarello, M, Pietro, MD, Sabrina, R, Luchi, S, Furini, S, Dei, S, Benetti, E, Picchiotti, N, Sanarico, M, Ceri, S, Pinoli, P, Raimondi, F, Biscarini, F, Stella, A, Zguro, K, Capitani, K, Tanfoni, M, Fallerini, C, Daga, S, Baldassarri, M, Fava, F, Frullanti, E, Valentino, F, Doddato, G, Giliberti, A, Tita, R, Amitrano, S, Bruttini, M, Croci, S, Meloni, I, Mencarelli, MA, Rizzo, CL, Pinto, AM, Beligni, G, Tommasi, A, Sarno, LD, Palmieri, M, Carriero, ML, Alaverdian, D, Busani, S, Bruno, R, Vecchia, M, Belli, MA, Mantovani, S, Ludovisi, S, Quiros-Roldan, E, Antoni, MD, Zanella, I, Siano, M, Emiliozzi, A, Fabbiani, M, Rossetti, B, Bergantini, L, D’Alessandro, M, Cameli, P, Bennett, D, Anedda, F, Marcantonio, S, Scolletta, S, Guerrini, S, Conticini, E, Frediani, B, Spertilli, C, Donati, A, Guidelli, L, Corridi, M, Croci, L, Piacentini, P, Desanctis, E, Cappelli, S, Verzuri, A, Anemoli, V, Pancrazzi, A, Lorubbio, M, Miraglia, FG, Venturelli, S, Cossarizza, A, Vergori, A, Gabrieli, A, Riva, A, Paciosi, F, Andretta, F, Gatti, F, Parisi, SG, Baratti, S, Piscopo, C, Russo, R, Andolfo, I, Iolascon, A, Carella, M, Merla, G, Squeo, GM, Raggi, P, Marciano, C, Perna, R, Bassetti, M, Sanguinetti, M, Giorli, A, Salerni, L, Parravicini, P, Menatti, E, Trotta, T, Coiro, G, Lena, F, Martinelli, E, Mancarella, S, Gabbi, C, Maggiolo, F, Ripamonti, D, Bachetti, T, Suardi, C, Parati, G, Bottà, G, Domenico, PD, Rancan, I, Bianchi, F, Colombo, R, Barbieri, C, Acquilini, D, Andreucci, E, Segala, FV, Tiseo, G, Falcone, M, Lista, M, Poscente, M, Vivo, OD, Petrocelli, P, Guarnaccia, A, Baroni, S, van Heel, DA, Hunt, KA, Trembath, RC, Huang, QQ, Martin, HC, Mason, D, Trivedi, B, Wright, J, Finer, S, Akhtar, S, Anwar, M, Arciero, E, Ashraf, S, Breen, G, Chung, R, Curtis, CJ, Chowdhury, M, Colligan, G, Deloukas, P, Durham, C, Griffiths, C, Hurles, M, Hussain, S, Islam, K, Khan, A, Lavery, C, Lee, SH, Lerner, R, MacArthur, D, MacLaughlin, B, Martin, H, Miah, S, Newman, B, Safa, N, Tahmasebi, F, Griffiths, CJ, Smith, AV, Boughton, AP, Li, KW, LeFaive, J, Annis, A, Niavarani, A, Aliannejad, R, Sharififard, B, Amirsavadkouhi, A, Naderpour, Z, Tadi, HA, Aleagha, AE, Ahmadi, S, Moghaddam, SBM, Adamsara, A, Saeedi, M, Abdollahi, H, Hosseini, A, Chariyavilaskul, P, Jantarabenjakul, W, Hirankarn, N, Chamnanphon, M, Suttichet, TB, Shotelersuk, V, Pongpanich, M, Phokaew, C, Chetruengchai, W, Putchareon, O, Torvorapanit, P, Puthanakit, T, Suchartlikitwong, P, Nilaratanakul, V, Sodsai, P, Brumpton, BM, Hveem, K, Willer, C, Zhou, W, Rogne, T, Solligard, E, Åsvold, BO, Franke, L, Boezen, M, Deelen, P, Claringbould, A, Lopera, E, Warmerdam, R, Vonk, JM, van Blokland, I, Lanting, P, Ori, APS, Feng, Y-CA, Mercader, J, Weiss, ST, Karlson, EW, Smoller, JW, Murphy, SN, Meigs, JB, Woolley, AE, Green, RC, Perez, EF, Zöllner, S, Wang, J, Beck, A, Sloofman, LG, Ascolillo, S, Sebra, RP, Collins, BL, Levy, T, Buxbaum, JD, Sealfon, SC, Jordan, DM, Thompson, RC, Gettler, K, Chaudhary, K, Belbin, GM, Preuss, M, Hoggart, C, Choi, S, Underwood, SJ, Salib, I, Britvan, B, Keller, K, Tang, L, Peruggia, M, Hiester, LL, Niblo, K, Aksentijevich, A, Labkowsky, A, Karp, A, Zlatopolsky, M, Zyndorf, M, Charney, AW, Beckmann, ND, Schadt, EE, Abul-Husn, NS, Cho, JH, Itan, Y, Kenny, EE, Loos, RJF, Nadkarni, GN, Do, R, O’Reilly, P, Huckins, LM, Ferreira, MAR, Abecasis, GR, Leader, JB, Cantor, MN, Justice, AE, Carey, DJ, Chittoor, G, Josyula, NS, Kosmicki, JA, Horowitz, JE, Baras, A, Gass, MC, Yadav, A, Mirshahi, T, Hottenga, JJ, Bartels, M, de geus, EEJC, Nivard, MMG, Verma, A, Ritchie, MD, Rader, D, Li, B, Verma, SS, Lucas, A, Bradford, Y, Abedalthagafi, M, Alaamery, M, Alshareef, A, Sawaji, M, Massadeh, S, AlMalik, A, Alqahtani, S, Baraka, D, Harthi, FA, Alsolm, E, Safieh, LA, Alowayn, AM, Alqubaishi, F, Mutairi, AA, Mangul, S, Almutairi, M, Aljawini, N, Albesher, N, Arabi, YM, Mahmoud, ES, Khattab, AK, Halawani, RT, Alahmadey, ZZ, Albakri, JK, Felemban, WA, Suliman, BA, Hasanato, R, Al-Awdah, L, Alghamdi, J, AlZahrani, D, AlJohani, S, Al-Afghani, H, AlDhawi, N, AlBardis, H, Alkwai, S, Alswailm, M, Almalki, F, Albeladi, M, Almohammed, I, Barhoush, E, Albader, A, Alotaibi, S, Alghamdi, B, Jung, J, fawzy, MS, Alrashed, M, Zeberg, H, Frithiof, R, Hultström, M, Lipcsey, M, Tardif, N, Rooyackers, O, Grip, J, Maricic, T, Helgeland, Ø, Magnus, P, Trogstad, L-IS, Lee, Y, Harris, JR, Mangino, M, Spector, TD, Emma, D, Moutsianas, L, Caulfield, MJ, Scott, RH, Kousathanas, A, Pasko, D, Walker, S, Stuckey, A, Odhams, CA, Rhodes, D, Fowler, T, Rendon, A, Chan, G, Arumugam, P, Karczewski, KJ, Martin, AR, Wilson, DJ, Spencer, CCA, Crook, DW, Wyllie, DH, O’Connell, AM, Atkinson, EG, Tsuo, K, Baya, N, Turley, P, Gupta, R, Walters, RK, Palmer, DS, Sarma, G, Cheng, N, Lu, W, Churchhouse, C, Goldstein, JI, King, D, Seed, C, Daly, MJ, Finucane, H, Bryant, S, Satterstrom, FK, Band, G, Earle, SG, Lin, S-K, Arning, N, Koelling, N, Armstrong, J, Rudkin, JK, Callier, S, Cusick, C, Soranzo, N, Zhao, JH, Danesh, J, Angelantonio, ED, Butterworth, AS, Sun, YV, Huffman, JE, Cho, K, O’Donnell, CJ, Tsao, P, Gaziano, JM, Peloso, G, Ho, Y-L, Smieszek, SP, Polymeropoulos, C, Polymeropoulos, V, Polymeropoulos, MH, Przychodzen, BP, Fernandez-Cadenas, I, Planas, AM, Perez-Tur, J, Llucià-Carol, L, Cullell, N, Muiño, E, Cárcel-Márquez, J, DeDiego, ML, Iglesias, LL, Soriano, A, Rico, V, Agüero, D, Bedini, JL, Lozano, F, Domingo, C, Robles, V, Ruiz-Jaén, F, Márquez, L, Gomez, J, Coto, E, Albaiceta, GM, García-Clemente, M, Dalmau, D, Arranz, MJ, Dietl, B, Serra-Llovich, A, Soler, P, Colobrán, R, Martín-Nalda, A, Martínez, AP, Bernardo, D, Rojo, S, Fiz-López, A, Arribas, E, de la Cal-Sabater, P, Segura, T, González-Villa, E, Serrano-Heras, G, Martí-Fàbregas, J, Jiménez-Xarrié, E, de Felipe Mimbrera, A, Masjuan, J, García-Madrona, S, Domínguez-Mayoral, A, Villalonga, JM, Menéndez-Valladares, P, Chasman, DI, Sesso, HD, Manson, JE, Buring, JE, Ridker, PM, Franco, G, Davis, L, Lee, S, Priest, J, Sankaran, VG, van Heel, D, Biesecker, L, Kerchberger, VE, Baillie, JK, Pathak, Gita A., Karjalainen, Juha, Stevens, Christine, Neale, Benjamin M., Daly, Mark, Ganna, Andrea, Andrews, Shea J., Kanai, Masahiro, Cordioli, Mattia, Polimanti, Renato, Harerimana, Nadia, Pirinen, Matti, Liao, Rachel G., Chwialkowska, Karolina, Trankiem, Amy, Balaconis, Mary K., Nguyen, Huy, Solomonson, Matthew, Veerapen, Kumar, Wolford, Brooke, Roberts, Genevieve, Park, Danny, Ball, Catherine A., Coignet, Marie, McCurdy, Shannon, Knight, Spencer, Partha, Raghavendran, Rhead, Brooke, Zhang, Miao, Berkowitz, Nathan, Gaddis, Michael, Noto, Keith, Ruiz, Luong, Pavlovic, Milo, Hong, Eurie L., Rand, Kristin, Girshick, Ahna, Guturu, Harendra, Baltzell, Asher Haug, Niemi, Mari E. K., Rahmouni, Souad, Guntz, Julien, Beguin, Yve, Pigazzini, Sara, Nkambule, Lindokuhle, Georges, Michel, Moutschen, Michel, Misset, Benoit, Darcis, Gille, Guiot, Julien, Azarzar, Samira, Gofflot, Stéphanie, Claassen, Sabine, Malaise, Olivier, Huynen, Pascale, Meuris, Christelle, Thys, Marie, Jacques, Jessica, Léonard, Philippe, Frippiat, Frederic, Giot, Jean-Baptiste, Sauvage, Anne-Sophie, Frenckell, Christian Von, Belhaj, Yasmine, Lambermont, Bernard, Nakanishi, Tomoko, Morrison, David R., Mooser, Vincent, Richards, J. Brent, Butler-Laporte, Guillaume, Forgetta, Vincenzo, Li, Rui, Ghosh, Biswarup, Laurent, Laetitia, Belisle, Alexandre, Henry, Danielle, Abdullah, Tala, Adeleye, Olumide, Mamlouk, Noor, Kimchi, Nofar, Afrasiabi, Zaman, Rezk, Nardin, Vulesevic, Branka, Bouab, Meriem, Guzman, Charlotte, Petitjean, Loui, Tselios, Chri, Xue, Xiaoqing, Afilalo, Jonathan, Afilalo, Marc, Oliveira, Maureen, Brenner, Bluma, Brassard, Nathalie, Durand, Madeleine, Schurr, Erwin, Lepage, Pierre, Ragoussis, Jianni, Auld, Daniel, Chassé, Michaël, Kaufmann, Daniel E., Lathrop, G. Mark, Adra, Darin, Hayward, Caroline, Glessner, Joseph T., Shaw, Douglas M., Campbell, Archie, Morris, Marcela, Hakonarson, Hakon, Porteous, David J., Below, Jennifer, Richmond, Anne, Chang, Xiao, Polikowski, Hannah, Lauren, Petty E., Chen, Hung-Hsin, Wanying, Zhu, Fawns-Ritchie, Chloe, North, Kari, McCormick, Joseph B., Glessner, Joseph R., Gignoux, Christopher R., Wicks, Stephen J., Crooks, Kristy, Barnes, Kathleen C., Daya, Michelle, Shortt, Jonathan, Rafaels, Nichola, Chavan, Sameer, Timmers, Paul R. H. J., Wilson, James F., Tenesa, Albert, Kerr, Shona M., D’Mellow, Kenton, Shahin, Doaa, El-Sherbiny, Yasser M., von Hohenstaufen, Kathrin Aprile, Sobh, Ali, Eltoukhy, Madonna M., Nkambul, Lindokuhle, Elhadidy, Tamer A., Abd Elghafar, Mohamed S., El-Jawhari, Jehan J., Mohamed, Attia A. S., Elnagdy, Marwa H., Samir, Amr, Abdel-Aziz, Mahmoud, Khafaga, Walid T., El-Lawaty, Walaa M., Torky, Mohamed S., El-shanshory, Mohamed R., Yassen, Amr M., Hegazy, Mohamed A. F., Okasha, Kamal, Eid, Mohammed A., Moahmed, Hanteera S., Medina-Gomez, Carolina, Ikram, M. Arfan, Uitterlinden, Andre G., Mägi, Reedik, Milani, Lili, Metspalu, Andre, Laisk, Triin, Läll, Kristi, Lepamets, Maarja, Esko, Tõnu, Reimann, Ene, Naaber, Paul, Laane, Edward, Pesukova, Jaana, Peterson, Pärt, Kisand, Kai, Tabri, Jekaterina, Allos, Raili, Hensen, Kati, Starkopf, Joel, Ringmets, Inge, Tamm, Anu, Kallaste, Anne, Alavere, Helene, Metsalu, Kristjan, Puusepp, Mairo, Batini, Chiara, Tobin, Martin D., Venn, Laura D., Lee, Paul H., Shrine, Nick, Williams, Alexander T., Guyatt, Anna L., John, Catherine, Packer, Richard J., Ali, Altaf, Free, Robert C., Wang, Xueyang, Wain, Louise V., Hollox, Edward J., Bee, Catherine E., Adams, Emma L., Palotie, Aarno, Ripatti, Samuli, Ruotsalainen, Sanni, Kristiansson, Kati, Koskelainen, Sami, Perola, Marku, Donner, Kati, Kivinen, Katja, Kaunisto, Mari, Rivolta, Carlo, Bochud, Pierre-Yve, Bibert, Stéphanie, Boillat, Noémie, Nussle, Semira Gonseth, Albrich, Werner, Quinodoz, Mathieu, Kamdar, Dhryata, Suh, Noémie, Neofytos, Dionysio, Erard, Véronique, Voide, Cathy, Friolet, R., Vollenweider, P., Pagani, J. L., Oddo, M., zu Bentrup, F. Meyer, Conen, A., Clerc, O., Marchetti, O., Guillet, A., Guyat-Jacques, C., Foucras, S., Rime, M., Chassot, J., Jaquet, M., Viollet, R. Merlet, Lannepoudenx, Y., Portopena, L., Bochud, P. Y., Desgranges, F., Filippidis, P., Guéry, B., Haefliger, D., Kampouri, E. E., Manuel, O., Munting, A., Papadimitriou-Olivgeris, M., Regina, J., Rochat-Stettler, L., Suttels, V., Tadini, E., Tschopp, J., Van Singer, M., Viala, B., Boillat-Blanco, N., Brahier, T., Hügli, O., Meuwly, J. Y., Pantet, O., Gonseth Nussle, S., Bochud, M., D’Acremont, V., Estoppey Younes, S., Albrich, W. C., Suh, N., Cerny, A., O’Mahony, L., von Mering, C., Frischknecht, M., Kleger, G-R., Filipovic, M., Kahlert, C. R., Wozniak, H., Negro, T. Rochat, Pugin, J., Bouras, K., Knapp, C., Egger, T., Perret, A., Montillier, P., di Bartolomeo, C., Barda, B., de Cid, Rafael, Carreras, Anna, Moreno, Victor, Kogevinas, Manoli, Galván-Femenía, Iván, Blay, Natalia, Farré, Xavier, Sumoy, Lauro, Cortés, Beatriz, Mercader, Josep Maria, Guindo-Martinez, Marta, Torrents, David, Garcia-Aymerich, Judith, Castaño-Vinyals, Gemma, Dobaño, Carlota, Gori, Marco, Renieri, Alessandra, Mari, Francesca, Mondelli, Mario Umberto, Castelli, Francesco, Vaghi, Massimo, Rusconi, Stefano, Montagnani, Francesca, Bargagli, Elena, Franchi, Federico, Mazzei, Maria Antonietta, Cantarini, Luca, Tacconi, Danilo, Feri, Marco, Scala, Raffaele, Spargi, Genni, Nencioni, Cesira, Bandini, Maria, Caldarelli, Gian Piero, Canaccini, Anna, Ognibene, Agostino, D’Arminio Monforte, Antonella, Girardis, Massimo, Antinori, Andrea, Francisci, Daniela, Schiaroli, Elisabetta, Scotton, Pier Giorgio, Panese, Sandro, Scaggiante, Renzo, Monica, Matteo Della, Capasso, Mario, Fiorentino, Giuseppe, Castori, Marco, Aucella, Filippo, Biagio, Antonio Di, Masucci, Luca, Valente, Serafina, Mandalà, Marco, Zucchi, Patrizia, Giannattasio, Ferdinando, Coviello, Domenico A., Mussini, Cristina, Tavecchia, Luisa, Crotti, Lia, Rizzi, Marco, Rovere, Maria Teresa La, Sarzi-Braga, Simona, Bussotti, Maurizio, Ravaglia, Sabrina, Artuso, Rosangela, Perrella, Antonio, Romani, Davide, Bergomi, Paola, Catena, Emanuele, Vincenti, Antonella, Ferri, Claudio, Grassi, Davide, Pessina, Gloria, Tumbarello, Mario, Pietro, Massimo Di, Sabrina, Ravaglia, Luchi, Sauro, Furini, Simone, Dei, Simona, Benetti, Elisa, Picchiotti, Nicola, Sanarico, Maurizio, Ceri, Stefano, Pinoli, Pietro, Raimondi, Francesco, Biscarini, Filippo, Stella, Alessandra, Zguro, Kristina, Capitani, Katia, Tanfoni, Marco, Fallerini, Chiara, Daga, Sergio, Baldassarri, Margherita, Fava, Francesca, Frullanti, Elisa, Valentino, Floriana, Doddato, Gabriella, Giliberti, Annarita, Tita, Rossella, Amitrano, Sara, Bruttini, Mirella, Croci, Susanna, Meloni, Ilaria, Mencarelli, Maria Antonietta, Rizzo, Caterina Lo, Pinto, Anna Maria, Beligni, Giada, Tommasi, Andrea, Sarno, Laura Di, Palmieri, Maria, Carriero, Miriam Lucia, Alaverdian, Diana, Busani, Stefano, Bruno, Raffaele, Vecchia, Marco, Belli, Mary Ann, Mantovani, Stefania, Ludovisi, Serena, Quiros-Roldan, Eugenia, Antoni, Melania Degli, Zanella, Isabella, Siano, Matteo, Emiliozzi, Arianna, Fabbiani, Massimiliano, Rossetti, Barbara, Bergantini, Laura, D’Alessandro, Miriana, Cameli, Paolo, Bennett, David, Anedda, Federico, Marcantonio, Simona, Scolletta, Sabino, Guerrini, Susanna, Conticini, Edoardo, Frediani, Bruno, Spertilli, Chiara, Donati, Alice, Guidelli, Luca, Corridi, Marta, Croci, Leonardo, Piacentini, Paolo, Desanctis, Elena, Cappelli, Silvia, Verzuri, Agnese, Anemoli, Valentina, Pancrazzi, Alessandro, Lorubbio, Maria, Miraglia, Federica Gaia, Venturelli, Sophie, Cossarizza, Andrea, Vergori, Alessandra, Gabrieli, Arianna, Riva, Agostino, Paciosi, Francesco, Andretta, Francesca, Gatti, Francesca, Parisi, Saverio Giuseppe, Baratti, Stefano, Piscopo, Carmelo, Russo, Roberta, Andolfo, Immacolata, Iolascon, Achille, Carella, Massimo, Merla, Giuseppe, Squeo, Gabriella Maria, Raggi, Pamela, Marciano, Carmen, Perna, Rita, Bassetti, Matteo, Sanguinetti, Maurizio, Giorli, Alessia, Salerni, Lorenzo, Parravicini, Pierpaolo, Menatti, Elisabetta, Trotta, Tullio, Coiro, Gabriella, Lena, Fabio, Martinelli, Enrico, Mancarella, Sandro, Gabbi, Chiara, Maggiolo, Franco, Ripamonti, Diego, Bachetti, Tiziana, Suardi, Claudia, Parati, Gianfranco, Bottà, Giordano, Domenico, Paolo Di, Rancan, Ilaria, Bianchi, Francesco, Colombo, Riccardo, Barbieri, Chiara, Acquilini, Donatella, Andreucci, Elena, Segala, Francesco Vladimiro, Tiseo, Giusy, Falcone, Marco, Lista, Mirjam, Poscente, Monica, Vivo, Oreste De, Petrocelli, Paola, Guarnaccia, Alessandra, Baroni, Silvia, van Heel, David A., Hunt, Karen A., Trembath, Richard C., Huang, Qin Qin, Martin, Hilary C., Mason, Dan, Trivedi, Bhavi, Wright, John, Finer, Sarah, Akhtar, Shaheen, Anwar, Mohammad, Arciero, Elena, Ashraf, Samina, Breen, Gerome, Chung, Raymond, Curtis, Charles J., Chowdhury, Maharun, Colligan, Grainne, Deloukas, Pano, Durham, Ceri, Griffiths, Chri, Hurles, Matt, Hussain, Shapna, Islam, Kamrul, Khan, Ahsan, Khan, Amara, Lavery, Cath, Lee, Sang Hyuck, Lerner, Robin, MacArthur, Daniel, MacLaughlin, Bev, Martin, Hilary, Miah, Shefa, Newman, Bill, Safa, Nishat, Tahmasebi, Farah, Griffiths, Christopher J., Smith, Albert V., Boughton, Andrew P., Li, Kevin W., LeFaive, Jonathon, Annis, Aubrey, Niavarani, Ahmadreza, Aliannejad, Rasoul, Sharififard, Bahareh, Amirsavadkouhi, Ali, Naderpour, Zeinab, Tadi, Hengameh Ansari, Aleagha, Afshar Etemadi, Ahmadi, Saeideh, Moghaddam, Seyed Behrooz Mohseni, Adamsara, Alireza, Saeedi, Morteza, Abdollahi, Hamed, Hosseini, Abdolmajid, Chariyavilaskul, Pajaree, Jantarabenjakul, Watsamon, Hirankarn, Nattiya, Chamnanphon, Monpat, Suttichet, Thitima B., Shotelersuk, Vorasuk, Pongpanich, Monnat, Phokaew, Chureerat, Chetruengchai, Wanna, Putchareon, Opa, Torvorapanit, Pattama, Puthanakit, Thanyawee, Suchartlikitwong, Pintip, Nilaratanakul, Voraphoj, Sodsai, Pimpayao, Brumpton, Ben M., Hveem, Kristian, Willer, Cristen, Zhou, Wei, Rogne, Tormod, Solligard, Erik, Åsvold, Bjørn Olav, Franke, Lude, Boezen, Marike, Deelen, Patrick, Claringbould, Annique, Lopera, Esteban, Warmerdam, Robert, Vonk, Judith. M., van Blokland, Irene, Lanting, Pauline, Ori, Anil P. S., Feng, Yen-Chen Anne, Mercader, Josep, Weiss, Scott T., Karlson, Elizabeth W., Smoller, Jordan W., Murphy, Shawn N., Meigs, James B., Woolley, Ann E., Green, Robert C., Perez, Emma F., Zöllner, Sebastian, Wang, Jiongming, Beck, Andrew, Sloofman, Laura G., Ascolillo, Steven, Sebra, Robert P., Collins, Brett L., Levy, Te, Buxbaum, Joseph D., Sealfon, Stuart C., Jordan, Daniel M., Thompson, Ryan C., Gettler, Kyle, Chaudhary, Kumardeep, Belbin, Gillian M., Preuss, Michael, Hoggart, Clive, Choi, Sam, Underwood, Slayton J., Salib, Irene, Britvan, Bari, Keller, Katherine, Tang, Lara, Peruggia, Michael, Hiester, Liam L., Niblo, Kristi, Aksentijevich, Alexandra, Labkowsky, Alexander, Karp, Avromie, Zlatopolsky, Menachem, Zyndorf, Marissa, Charney, Alexander W., Beckmann, Noam D., Schadt, Eric E., Abul-Husn, Noura S., Cho, Judy H., Itan, Yuval, Kenny, Eimear E., Loos, Ruth J. F., Nadkarni, Girish N., Do, Ron, O’Reilly, Paul, Huckins, Laura M., Ferreira, Manuel A. R., Abecasis, Goncalo R., Leader, Joseph B., Cantor, Michael N., Justice, Anne E., Carey, Dave J., Chittoor, Geetha, Josyula, Navya Shilpa, Kosmicki, Jack A., Horowitz, Julie E., Baras, Ari, Gass, Matthew C., Yadav, Ashish, Mirshahi, Tooraj, Hottenga, Jouke Jan, Bartels, Meike, de geus, Eco E. J. C., Nivard, Michel M. G., Verma, Anurag, Ritchie, Marylyn D., Rader, Daniel, Li, Binglan, Verma, Shefali S., Lucas, Anastasia, Bradford, Yuki, Abedalthagafi, Malak, Alaamery, Manal, Alshareef, Abdulraheem, Sawaji, Mona, Massadeh, Salam, AlMalik, Abdulaziz, Alqahtani, Saleh, Baraka, Dona, Harthi, Fawz Al, Alsolm, Ebtehal, Safieh, Leen Abu, Alowayn, Albandary M., Alqubaishi, Fatimah, Mutairi, Amal Al, Mangul, Serghei, Almutairi, Mansour, Aljawini, Nora, Albesher, Nour, Arabi, Yaseen M., Mahmoud, Ebrahim S., Khattab, Amin K., Halawani, Roaa T., Alahmadey, Ziab Z., Albakri, Jehad K., Felemban, Walaa A., Suliman, Bandar A., Hasanato, Rana, Al-Awdah, Laila, Alghamdi, Jahad, AlZahrani, Deema, AlJohani, Sameera, Al-Afghani, Hani, AlDhawi, Nouf, AlBardis, Hadeel, Alkwai, Sarah, Alswailm, Moneera, Almalki, Faisal, Albeladi, Maha, Almohammed, Iman, Barhoush, Eman, Albader, Anoud, Alotaibi, Sara, Alghamdi, Bader, Jung, Junghyun, fawzy, Mohammad S., Alrashed, May, Zeberg, Hugo, Nkambul, Lindo, Frithiof, Robert, Hultström, Michael, Lipcsey, Miklo, Tardif, Nicola, Rooyackers, Olav, Grip, Jonathan, Maricic, Tomislav, Helgeland, Øyvind, Magnus, Per, Trogstad, Lill-Iren S., Lee, Yunsung, Harris, Jennifer R., Mangino, Massimo, Spector, Tim D., Emma, Duncan, Moutsianas, Louka, Caulfield, Mark J., Scott, Richard H., Kousathanas, Athanasio, Pasko, Dorota, Walker, Susan, Stuckey, Alex, Odhams, Christopher A., Rhodes, Daniel, Fowler, Tom, Rendon, Augusto, Chan, Georgia, Arumugam, Prabhu, Karczewski, Konrad J., Martin, Alicia R., Wilson, Daniel J., Spencer, Chris C. A., Crook, Derrick W., Wyllie, David H., O’Connell, Anne Marie, Atkinson, Elizabeth G., Tsuo, Kristin, Baya, Nikola, Turley, Patrick, Gupta, Rahul, Walters, Raymond K., Palmer, Duncan S., Sarma, Gopal, Cheng, Nathan, Lu, Wenhan, Churchhouse, Claire, Goldstein, Jacqueline I., King, Daniel, Seed, Cotton, Daly, Mark J., Finucane, Hilary, Bryant, Sam, Satterstrom, F. Kyle, Band, Gavin, Earle, Sarah G., Lin, Shang-Kuan, Arning, Nicola, Koelling, Nil, Armstrong, Jacob, Rudkin, Justine K., Callier, Shawneequa, Cusick, Caroline, Soranzo, Nicole, Zhao, Jing Hua, Danesh, John, Angelantonio, Emanuele Di, Butterworth, Adam S., Sun, Yan V., Huffman, Jennifer E., Cho, Kelly, O’Donnell, Christopher J., Tsao, Phil, Gaziano, J. Michael, Peloso, Gina, Ho, Yuk-Lam, Smieszek, Sandra P., Polymeropoulos, Christo, Polymeropoulos, Vasilio, Polymeropoulos, Mihael H., Przychodzen, Bartlomiej P., Fernandez-Cadenas, Israel, Planas, Anna M., Perez-Tur, Jordi, Llucià-Carol, Laia, Cullell, Natalia, Muiño, Elena, Cárcel-Márquez, Jara, DeDiego, Marta L., Iglesias, Lara Lloret, Soriano, Alex, Rico, Veronica, Agüero, Daiana, Bedini, Josep L., Lozano, Francisco, Domingo, Carlo, Robles, Veronica, Ruiz-Jaén, Francisca, Márquez, Leonardo, Gomez, Juan, Coto, Eliecer, Albaiceta, Guillermo M., García-Clemente, Marta, Dalmau, David, Arranz, Maria J., Dietl, Beatriz, Serra-Llovich, Alex, Soler, Pere, Colobrán, Roger, Martín-Nalda, Andrea, Martínez, Alba Parra, Bernardo, David, Rojo, Silvia, Fiz-López, Aida, Arribas, Elisa, de la Cal-Sabater, Paloma, Segura, Tomá, González-Villa, Esther, Serrano-Heras, Gemma, Martí-Fàbregas, Joan, Jiménez-Xarrié, Elena, de Felipe Mimbrera, Alicia, Masjuan, Jaime, García-Madrona, Sebastian, Domínguez-Mayoral, Anna, Villalonga, Joan Montaner, Menéndez-Valladares, Paloma, Chasman, Daniel I., Sesso, Howard D., Manson, JoAnn E., Buring, Julie E., Ridker, Paul M., Franco, Giulianini, Davis, Lea, Lee, Sulggi, Priest, Jame, Sankaran, Vijay G., van Heel, David, Biesecker, Le, Kerchberger, V. Eric, Baillie, J. Kenneth, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Biological Psychology, APH - Mental Health, AMS - Sports, AMS - Ageing & Vitality, APH - Methodology, Mccurdy, Shannon, Mccormick, Joseph B., Macarthur, Daniel, Maclaughlin, Bev, Lefaive, Jonathon, Almalik, Abdulaziz, Alzahrani, Deema, Aljohani, Sameera, Aldhawi, Nouf, Albardis, Hadeel, Fawzy, Mohammad S., Dediego, Marta L., Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), University of Zurich, COVID-19 Host Genetics Initiative, Barcelona Supercomputing Center, COVID-19 Genetics Initiative, including authors, Institute for Molecular Medicine Finland, and Data Science Genetic Epidemiology Lab
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Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC] ,Quantitative Trait Loci ,MUC5B PROMOTER POLYMORPHISM ,Genome-wide association studies ,COVID-19 (Malaltia) ,UFSP13-7 Evolution in Action: From Genomes to Ecosystems ,COVID-19 (Disease) ,Settore BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,SDG 3 - Good Health and Well-being ,Humans ,genetics ,Genetic variation ,Genomes ,Medicinsk genetik ,1000 Multidisciplinary ,Multidisciplinary ,Chromosome Mapping ,COVID-19 ,Human Genetics ,10124 Institute of Molecular Life Sciences ,covid-19 ,3121 General medicine, internal medicine and other clinical medicine ,570 Life sciences ,biology ,Medical Genetics - Abstract
Matters arising from: Mapping the human genetic architecture of COVID-19 Original Article published on 08 July 2021 https://www.nature.com/articles/s41586-021-03767-x The COVID-19 pandemic continues to pose a major public health threat, especially in countries with low vaccination rates. To better understand the biological underpinnings of SARS-CoV-2 infection and COVID-19 severity, we formed the COVID-19 Host Genetics Initiative1. Here we present a genome-wide association study meta-analysis of up to 125,584 cases and over 2.5 million control individuals across 60 studies from 25 countries, adding 11 genome-wide significant loci compared with those previously identified2. Genes at new loci, including SFTPD, MUC5B and ACE2, reveal compelling insights regarding disease susceptibility and severity. Here we present meta-analyses bringing together 60 studies from 25 countries (Fig. 1 and Supplementary Table 1) for three COVID-19-related phenotypes: (1) individuals critically ill with COVID-19 on the basis of requiring respiratory support in hospital or who died as a consequence of the disease (9,376 cases, of which 3,197 are new in this data release, and 1,776,645 control individuals); (2) individuals with moderate or severe COVID-19 defined as those hospitalized due to symptoms associated with the infection (25,027 cases, 11,386 new and 2,836,272 control individuals); and (3) all cases with reported SARS-CoV-2 infection regardless of symptoms (125,584 cases, 76,022 new and 2,575,347 control individuals). Most studies have reported results before the roll out of the COVID-19 vaccination campaign. An overview of the study design is provided in Supplementary Fig. 1. We found a total of 23 genome-wide significant loci (P
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3. The Law of Rights of Light
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Michael Barnes KC and Michael Barnes KC
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4. The Law of Compulsory Purchase and Compensation
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Michael Barnes KC and Michael Barnes KC
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- 2014
5. Mapping the human genetic architecture of COVID-19
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Mandalà, Marco, Zucchi, Patrizia, Giannattasio, Ferdinando, Coviello, Domenico A., Mussini, Cristina, Bosio, Giancarlo, Tavecchia, Luisa, Crotti, Lia, Rizzi, Marco, La Rovere, Maria Teresa, Sarzi-Braga, Simona, Bussotti, Maurizio, Ravaglia, Sabrina, Artuso, Rosangela, Perrella, Antonio, Romani, Davide, Bergomi, Paola, Catena, Emanuele, Vincenti, Antonella, Ferri, Claudio, Grassi, Davide, Pessina, Gloria, Tumbarello, Mario, Di Pietro, Massimo, Sabrina, Ravaglia, Luchi, Sauro, Barbieri, Chiara, Acquilini, Donatella, Andreucci, Elena, Paciosi, Francesco, Segala, Francesco Vladimiro, Tiseo, Giusy, Falcone, Marco, Lista, Mirjam, Poscente, Monica, De Vivo, Oreste, Petrocelli, Paola, Guarnaccia, Alessandra, Baroni, Silvia, Perticaroli, Valentina, Furini, Simone, Dei, Simona, Benetti, Elisa, Picchiotti, Nicola, Sanarico, Maurizio, Ceri, Stefano, Pinoli, Pietro, Raimondi, Francesco, Biscarini, Filippo, Stella, Alessandra, Bergomi, Mattia, Zguro, Kristina, Capitani, Katia, Tanfoni, Marco, 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Piacentini, Paolo, Desanctis, Elena, Cappelli, Silvia, Verzuri, Agnese, Anemoli, Valentina, Pancrazi, Alessandro, Lorubbio, Maria, Merlini, Esther, Miraglia, Federica Gaia, Venturelli, Sophie, Cossarizza, Andrea, Vergori, Alessandra, Gabrieli, Arianna, Riva, Agostino, Andretta, Francesca, Gatti, Francesca, Parisi, Saverio Giuseppe, Baratti, Stefano, Piscopo, Carmelo, Russo, Roberta, Andolfo, Immacolata, Iolascon, Achille, Carella, Massimo, Merla, Giuseppe, Squeo, Gabriella Maria, Raggi, Pamela, Marciano, Carmen, Perna, Rita, Bassetti, Matteo, Sanguinetti, Maurizio, Giorli, Alessia, Salerni, Lorenzo, Parravicini, Pierpaolo, Menatti, Elisabetta, Trotta, Tullio, Coiro, Gabriella, Lena, Fabio, Martinelli, Enrico, Mancarella, Sandro, Gabbi, Chiara, Maggiolo, Franco, Ripamonti, Diego, Bachetti, Tiziana, Suardi, Claudia, Parati, Gianfranco, Bottà, Giordano, Di Domenico, Paolo, Rancan, Ilaria, Bianchi, Francesco, Colombo, Riccardo, van Heel, David A., Hunt, Karen A., Trembath, Richard C., Huang, Qin Qin, Martin, Hilary C., Mason, Dan, Trivedi, Bhavi, Wright, John, Finer, Sarah, Griffiths, Christopher J., Akhtar, Shaheen, Anwar, Mohammad, Arciero, Elena, Ashraf, Samina, Breen, Gerome, Chung, Raymond, Curtis, Charles J., Chowdhury, Maharun, Colligan, Grainne, Deloukas, Pano, Durham, Ceri, Griffiths, Chri, Hurles, Matt, Hussain, Shapna, Islam, Kamrul, Khan, Ahsan, Khan, Amara, Lavery, Cath, Lee, Sang Hyuck, Lerner, Robin, Macarthur, Daniel, Maclaughlin, Bev, Martin, Hilary, Miah, Shefa, Newman, Bill, Safa, Nishat, Tahmasebi, Farah, Smith, Albert V., Boughton, Andrew P., Li, Kevin W., Lefaive, Jonathon, Annis, Aubrey, Jannes, Cinthia E., Krieger, Jose E., Pereira, Alexandre C., Velho, Mariliza, Marques, Emanuelle, Lima, Isabella Ramo, Tada, Mauricio Teruo, Valino, Karina, Mccarthy, Mark, Rosenberger, Carrie, Lee, Jong Eun, Chang, Diana, Hammer, Christian, Hunkapiller, Julie, Mahajan, Anubha, Pendergrass, Sarah, Sucheston-Campbell, Lara, Yaspan, Brian, Lee, Hyun Soo, Shin, Eunsoon, Jang, Hye Yoon, Kim, Sunmie, Kym, Sungmin, Kim, Yeon-Sook, Jeong, Hyeongseok, Kwon, Ki Tae, Kim, Shin-Woo, Kim, Jin Yong, Jang, Young Rock, Kim, Hyun ah, Lee, Ji Yeon, Lee, Jeong Eun, Lee, Shinwon, Choe, Kang-Won, Kang, Yu Min, Jee, Sun Ha, Jung, Keum Ji, Parikh, Victoria, Ashley, Euan, Wheeler, Matthew, Rivas, Manuel, Bustamante, Carlo, Pinksy, Benjamin, Febbo, Phillip, Farh, Kyle, Schroth, Gary P., Desouza, Franci, Dalton, Karen, Christle, Jeff, Deboever, Christopher, Szalma, Sándor, Rubinacci, Simone, Delaneau, Olivier, Gorzynski, John, de Jong, Hannah, Sutton, Shirley, Youlton, Nathan, Joshi, Ruchi, Jimenez-Morales, David, Hughes, Christopher, Amar, David, Ioannidis, Alex, Hershman, Steve, Kirillova, Anna, Seo, Kinya, Huang, Yong, Shoura, Massa, Hammond, Nathan, Watson, Nathaniel, Raja, Archana, Huang, Chunhong, Sahoo, Malaya, Wang, Hannah, Zhen, Jimmy, Rakitko, Alexander, Ilinsky, Valery, Yermakovich, Danat, Popov, Iaroslav, Chernitsov, Alexander, Kovalenko, Elena, Krasnenko, Anna, Plotnikov, Nikolay, Stetsenko, Ivan, Kim, Anna, Cirulli, Elizabeth T., Schiabor Barrett, Kelly M., Bolze, Alexandre, White, Simon, Washington, Nicole L., Lu, James T., Riffle, Stephen, Tanudjaja, Francisco, Wang, Xueqing, Ramirez, Jimmy M., Leonetti, Nicole, Sandoval, Efren, Neveux, Iva, Dabe, Shaun, Grzymski, Joseph J., Esteban Miñano, Juan Ignacio, Aguirre, Luis A., López-Collazo, Eduardo, de la Mata Pazos, Manuel, Cerrato, Luciano, Lozano-Rodríguez, Roberto, Avendaño-Ortiz, José, Arcos, Verónica Terrón, Montalbán-Hernández, Karla Marina, Quiroga, Jaime Valentín, Pascual-Iglesias, Alejandro, Maroun-Eid, Charbel, Martín-Quirós, Alejandro, Namkoong, Ho, Imoto, Seiya, Katayama, Kazuhiko, Fukunaga, Koichi, Kitagawa, Yuko, Sato, Toshiro, Hasegawa, Naoki, Kumanogoh, Atsushi, Kimura, Akinori, Ai, Masumi, Tokunaga, Katsushi, Kanai, Takanori, Miyano, Satoru, Ogawa, Seishi, Edahiro, Ryuya, Sonehara, Kyuto, Shirai, Yuya, Ishii, Makoto, Kabata, Hiroki, Masaki, Katsunori, Kamata, Hirofumi, Ikemura, Shinnosuke, Chubachi, Shotaro, Okamori, Satoshi, Terai, Hideki, Tanaka, Hiromu, Morita, Atsuho, Lee, Ho, Asakura, Takanori, Sasaki, Junichi, Morisaki, Hiroshi, Uwamino, Yoshifumi, Nanki, Kosaku, Mikami, Yohei, Tomono, Kazunori, Kato, Kazuto, Matsuda, Fumihiko, Takahashi, Meiko, Hizawa, Nobuyuki, Takeda, Yoshito, Hirata, Haruhiko, Shiroyama, Takayuki, Miyawaki, Satoru, Suzuki, Ken, Maeda, Yuichi, Nii, Takuro, Noda, Yoshimi, Niitsu, Takayuki, Adachi, Yuichi, Enomoto, Takatoshi, Amiya, Saori, Hara, Reina, Takahashi, Kunihiko, Anzai, Tatsuhiko, Hasegawa, Takanori, Ito, Satoshi, Koike, Ryuji, Endo, Akifumi, Uchimura, Yuji, Miyazaki, Yasunari, Honda, Takayuki, Tateishi, Tomoya, Tohda, Shuji, Ichimura, Naoya, Sonobe, Kazunari, Sassa, Chihiro, Nakajima, Jun, Nannya, Yasuhito, Omae, Yosuke, Takahashi, Kazuhisa, Harada, Norihiro, Hiki, Makoto, Takagi, Haruhi, Nakamura, Ai, Tagaya, Etsuko, Kawana, Masatoshi, Arimura, Ken, Ishiguro, Takashi, Takayanagi, Noboru, Isono, Taisuke, Takaku, Yotaro, Takano, Kenji, Anan, Ryusuke, Nakajima, Yukiko, Nakano, Yasushi, Nishio, Kazumi, Ueda, Soichiro, Hayashi, Reina, Tateno, Hiroki, Hase, Isano, Yoshida, Shuichi, Suzuki, Shoji, Mitamura, Keiko, Saito, Fumitake, Ueda, Tetsuya, Azuma, Masanori, Nagasaki, Tadao, Yasui, Yoshinori, Hasegawa, Yoshinori, Mutoh, Yoshikazu, Yoshiyama, Takashi, Shoko, Tomohisa, Kojima, Mitsuaki, Adachi, Tomohiro, Ishikawa, Motonao, Takahashi, Kenichiro, Watanabe, Kazuyoshi, Manabe, Tadashi, Ito, Fumimaro, Fukui, Takahiro, Funatsu, Yohei, Koh, Hidefumi, Hirai, Yoshihiro, Kawashima, Hidetoshi, Narita, Atsuya, Niwa, Kazuki, Sekikawa, Yoshiyuki, Saito, Fukuki, Yoshiya, Kazuhisa, Yoshihara, Tomoyuki, Suzuki, Yusuke, Nakayama, Sohei, Masuzawa, Keita, Nishi, Koichi, Nishitsuji, Masaru, Tani, Maiko, Inoue, Takashi, Hirano, Toshiyuki, Kobayashi, Keigo, Miyazawa, Naoki, Kimura, Yasuhiro, Sado, Reiko, Ogura, Takashi, Kitamura, Hideya, Murohashi, Kota, Nakachi, Ichiro, Baba, Rie, Arai, Daisuke, Fuke, Satoshi, Saito, Hiroshi, Kuwahara, Naota, Fujiwara, Akiko, Okada, Takenori, Baba, Tomoya, Noda, Junya, Mashimo, Shuko, Yagi, Kazuma, Shiomi, Tetsuya, Hashiguchi, Mizuha, Odani, Toshio, Mochimaru, Takao, Oyamada, Yoshitaka, Mori, Nobuaki, Izumi, Namiki, Nagata, Kaoru, Taki, Reiko, Murakami, Koji, Yamada, Mitsuhiro, Sugiura, Hisatoshi, Hayashi, Kentaro, Shimizu, Tetsuo, Gon, Yasuhiro, Fujitani, Shigeki, Tsuchida, Tomoya, Yoshida, Toru, Kagaya, Takashi, Kita, Toshiyuki, Sakagami, Satoru, Kimizuka, Yoshifumi, Kawana, Akihiko, Nakamura, Yoshihiko, Ishikura, Hiroyasu, Takata, Tohru, Kikuchi, Takahide, Taniyama, Daisuke, Nakamura, Morio, Kodama, Nobuhiro, Kaneyama, Yasunari, Maeda, Shunsuke, Nagasaki, Yoji, Okamoto, Masaki, Ishihara, Sayoko, Ito, Akihiro, Chihara, Yusuke, Takeuchi, Mayumi, Onoi, Keisuke, Hashimoto, Naozumi, Wakahara, Keiko, Ando, Akira, Masuda, Makoto, Wakabayashi, Aya, Watanabe, Hiroki, Sageshima, Hisako, Nakada, Taka-Aki, Abe, Ryuzo, Shimada, Tadanaga, Kawamura, Kodai, Ichikado, Kazuya, Nishiyama, Kenta, Yamasaki, Masaki, Hashimoto, Satoru, Kusaka, Yu, Ohba, Takehiko, Isogai, Susumu, Takada, Minoru, Kanda, Hidenori, Komase, Yuko, Sano, Fumiaki, Asano, Koichiro, Oguma, Tsuyoshi, Harada, Masahiro, Takahashi, Takeshi, Shibusawa, Takayuki, Abe, Shinji, Kono, Yuta, Togashi, Yuki, Izumo, Takehiro, Inomata, Minoru, Awano, Nobuyasu, Ogawa, Shinichi, Ogata, Tomouki, Ishihara, Shoichiro, Kanehiro, Arihiko, Ozaki, Shinji, Fuchimoto, Yasuko, Kitagawa, Yuichiro, Yoshida, Shozo, Ogura, Shinji, Nishiyama, Kei, Yoshida, Kousuke, Beppu, Satoru, Fukuyama, Satoru, Eriguchi, Yoshihiro, Yonekawa, Akiko, Inoue, Yoshiaki, Yamagata, Kunihiro, Chiba, Shigeru, Narumoto, Osamu, Nagai, Hideaki, Ooshima, Nobuharu, Motegi, Mitsuru, Sagara, Hironori, Tanaka, Akihiko, Ohta, Shin, Shibata, Yoko, Tanino, Yoshinori, Sato, Yuki, Yamada, Yuichiro, Hashino, Takuya, Shinoki, Masato, Iwagoe, Hajime, Imamura, Tomonori, Umeda, Akira, Shimada, Hisato, Endo, Mayu, Hayashi, Shinichi, Takahashi, Mai, Nakano, Shigefumi, Yatomi, Masakiyo, Maeno, Toshitaka, Ishii, Tomoo, Utsugi, Mitsuyoshi, Ono, Akihiro, Kanaoka, Kensuke, Ihara, Shoichi, Komuta, Kiyoshi, Boezen, Marike, Claringbould, Annique, Lopera, Esteban, Warmerdam, Robert, Vonk, Judith. M., van Blokland, Irene, Lanting, Pauline, Ori, Anil P. 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F., Nadkarni, Girish N., Do, Ron, O’Reilly, Paul, Huckins, Laura M., Ferreira, Manuel A. R., Abecasis, Goncalo R., Leader, Joseph B., Cantor, Michael N., Justice, Anne E., Carey, Dave J., Chittoor, Geetha, Josyula, Navya Shilpa, Kosmicki, Jack A., Horowitz, Julie E., Baras, Ari, Gass, Matthew C., Yadav, Ashish, Mirshahi, Tooraj, Jan Hottenga, Jouke, Bartels, Meike, de Geus, Eco J. C., Nivard, Michel G., Verma, Anurag, Ritchie, Marylyn D., Rader, Daniel, Li, Binglan, Verma, Shefali S., Lucas, Anastasia, Bradford, Yuki, Zara, Federico, Salpietro, Vincenzo, Scala, Marcello, Iacomino, Michele, Scudieri, Paolo, Bocciardi, Renata, Minetti, Carlo, Riva, Antonella, Vari, Maria Stella, Rahier, Jean-Françoi, Giorgio, Elisa, Carli, Diana, Louis, Edouad, Bulik, Cynthia M., Landén, Mikael, Brusco, Alfredo, Ferrero, Giovanni Battista, Madia, Francesca, Fundín, Bengt, Ismail, Said I., Saad, Chadi, Al-Sarraj, Yaser, Badji, Radja Messai, Al-Muftah, Wadha, Al Thani, Asma, Afifi, Nahla, Klovins, Jani, Rovite, Vita, Rescenko, Raimond, Peculis, Raiti, Ustinova, Monta, Zeberg, Hugo, Frithiof, Robert, Hultström, Michael, Lipcsey, Miklo, Johnson, Ruth, Geschwind, Daniel H., Freimer, Nelson, Butte, Manish J., Ding, Yi, Chiu, Alec, Chang, Timothy S., Boutros, Paul, Moutsianas, Louka, Caulfield, Mark J., Scott, Richard H., Walker, Susan, Stuckey, Alex, Odhams, Christopher A., Rhodes, Daniel, Fowler, Tom, Rendon, Augusto, Chan, Georgia, Arumugam, Prabhu, Karczewski, Konrad J., Wilson, Daniel J., Spencer, Chris A., Crook, Derrick W., Wyllie, David H., O’Connell, Anne Marie, Atkinson, Elizabeth G., Tsuo, Kristin, Baya, Nikola, Turley, Patrick, Gupta, Rahul, Walters, Raymond K., Palmer, Duncan S., Sarma, Gopal, Cheng, Nathan, Lu, Wenhan, Churchhouse, Claire, Goldstein, Jacqueline I., King, Daniel, Seed, Cotton, Daly, Mark J., Bryant, Sam, Satterstrom, F. Kyle, Band, Gavin, Earle, Sarah G., Lin, Shang-Kuan, Arning, Nicola, Armstrong, Jacob, Rudkin, Justine K., Callier, Shawneequa, Cusick, Caroline, Soranzo, Nicole, Zhao, Jing Hua, Danesh, John, Di Angelantonio, Emanuele, Butterworth, Adam S., Sun, Yan V., Huffman, Jennifer E., Cho, Kelly, O’Donnell, Christopher J., Tsao, Phil, Gaziano, J. Michael, Peloso, Gina, Ho, Yuk-Lam, Mian, Michael, Scaggiante, Federica, Chang, Xiao, Glessner, Joseph R., Hakonarson, Hakon, Mcguigan, Peter J., Prockter Moore, Luke Stephen, Vizcaychipi, Marcela Paola, Hall, Kathryn, Campbell, Andy, Nichol, Ailstair, Ward, Geraldine, Page, Valerie Joan, Semple, Malcolm G., Adeniji, Kayode, Agranoff, Daniel, Agwuh, Ken, Ail, Dhiraj, Aldera, Erin L., Alegria, Ana, Angus, Brian, Ashish, Abdul, Atkinson, Dougal, Bari, Shahedal, Barlow, Gavin, Barnass, Stella, Barrett, Nichola, Bassford, Christopher, Basude, Sneha, Baxter, David, Beadsworth, Michael, Bernatoniene, Jolanta, Berridge, John, Best, Nicola, Bothma, Pieter, Chadwick, David, Brittain-Long, Robin, Bulteel, Naomi, Burden, Tom, Burtenshaw, Andrew, Caruth, Vikki, Chambler, Duncan, Chee, Nigel, Child, Jenny, Chukkambotla, Srikanth, Clark, Tom, Collini, Paul, Cosgrove, Catherine, Cupitt, Jason, Cutino-Moguel, Maria-Teresa, Dark, Paul, Dawson, Chri, Dervisevic, Samir, Donnison, Phil, Douthwaite, Sam, Drummond, Andrew, Durand, Ingrid, Dushianthan, Ahilanadan, Dyer, Tristan, Evans, Cariad, Eziefula, Chi, Fegan, Christopher, Finn, Adam, Fullerton, Duncan, Garg, Sanjeev, Garg, Atul, Gkrania-Klotsas, Effrossyni, Godden, Jo, Goldsmith, Arthur, Graham, Clive, Hardy, Elaine, Hartshorn, Stuart, Harvey, Daniel, Havalda, Peter, Hawcutt, Daniel B., Hobrok, Maria, Hodgson, Luke, Hormis, Anil, Jacobs, Michael, Jain, Susan, Jennings, Paul, Kaliappan, Agilan, Kasipandian, Vidya, Kegg, Stephen, Kelsey, Michael, Kendall, Jason, Kerrison, Caroline, Kerslake, Ian, Koch, Oliver, Koduri, Gouri, Koshy, George, Laha, Shondipon, Laird, Steven, Larkin, Susan, Leiner, Tama, Lillie, Patrick, Limb, Jame, Linnett, Vanessa, Little, Jeff, Lyttle, Mark, Macmahon, Michael, Macnaughton, Emily, Mankregod, Ravish, Masson, Huw, Matovu, Elijah, Mccullough, Katherine, Mcewen, Ruth, Meda, Manjula, Mills, Gary H., Minton, Jane, Ward, Karl, Mirfenderesky, Mariyam, Mohandas, Kavya, Mok, Quen, Moon, Jame, Moore, Elinoor, Morgan, Patrick, Morris, Craig, Mortimore, Katherine, Moses, Samuel, Mpenge, Mbiye, Mulla, Rohinton, Murphy, Michael, Nagel, Megan, Nagarajan, Thapa, Nelson, Mark, O’Shea, Matthew K., Otahal, Igor, Ostermann, Marlie, Pais, Mark, Panchatsharam, Selva, Papakonstantinou, Danai, Paraiso, Hassan, Patel, Brij, Pattison, Natalie, Pepperell, Justin, Peters, Mark, Phull, Mandeep, Pintus, Stefania, Pooni, Jagtur Singh, Post, Frank, Price, David, Prout, Rachel, Rae, Nikola, Reschreiter, Henrik, Reynolds, Tim, Richardson, Neil, Roberts, Mark, Roberts, Devender, Rose, Alistair, Rousseau, Guy, Ryan, Brendan, Saluja, Taranprit, Shah, Aarti, Shanmuga, Prad, Sharma, Anil, Shawcross, Anna, Sizer, Jeremy, Shankar-Hari, Manu, Smith, Richard, Snelson, Catherine, Spittle, Nick, Staines, Nikki, Stambach, Tom, Stewart, Richard, Subudhi, Pradeep, Szakmany, Tama, Tatham, Kate, Thomas, Jo, Thompson, Chri, Thompson, Robert, Tridente, Ascanio, Tupper-Carey, Darell, Twagira, Mary, Ustianowski, Andrew, Vallotton, Nick, Vincent-Smith, Lisa, Visuvanathan, Shico, Vuylsteke, Alan, Waddy, Sam, Wake, Rachel, Walden, Andrew, Welters, Ingeborg, Whitehouse, Tony, Whittaker, Paul, Whittington, Ashley, Papineni, Padmasayee, Wijesinghe, Meme, Williams, Martin, Wilson, Lawrence, Cole, Sarah, Winchester, Stephen, Wiselka, Martin, Wolverson, Adam, Wooton, Daniel G., Workman, Andrew, Yates, Bryan, Young, Peter, Beale, Rupert, Bretherick, Andrew D., Clohisey, Sara, Fourman, Max Head, Furniss, Jame, Gountouna, Elvina, Grimes, Graeme, Haley, Chri, Harrison, David, Hayward, Caroline, Keating, Sean, Klaric, Lucija, Klenerman, Paul, Law, Andy, Meynert, Alison M., Millar, Jonathan, Pairo-Castineira, Erola, Parkinson, Nichola, Ponting, Chris P., Porteous, David J., Rawlik, Konrad, Richmond, Anne, Rowan, Kathy, Russell, Clark D., Shen, Xia, Shih, Barbara, Tenesa, Albert, Vitart, Veronique, Wang, Bo, Wilson, James F., Wu, Yang, Yang, Jian, Yang, Zhijian, Zechner, Marie, Zhai, Ranran, Zheng, Chenqing, Norman, Lisa, Pius, Riinu, Drake, Thomas M., Fairfield, Cameron J., Knight, Stephen R., Mclean, Kenneth A., Murphy, Derek, Shaw, Catherine A., Dalton, Jo, Girvan, Michelle, Saviciute, Egle, Roberts, Stephanie, Harrison, Janet, Marsh, Laura, Connor, Marie, Halpin, Sophie, Jackson, Clare, Gamble, Carrol, Leeming, Gary, Law, Andrew, Wham, Murray, Hendry, Ro, Scott-Brown, Jame, Begg, Colin, Hinds, Charle, Wai Ho, Antonia Ying, Horby, Peter W., Knight, Julian, Ling, Lowell, Maslove, David, Mcauley, Danny, Montgomery, Hugh, Nichol, Alistair, Openshaw, Peter J. M., Summers, Charlotte, Walsh, Timothy, Armstrong, Lisa, Bates, Hayley, Dooks, Emma, Farquhar, Fiona, Hairsine, Brigid, Mcparland, C., Packham, Sophie, Alldis, Zoe, Astin-Chamberlain, Raine, Bibi, Fatima, Biddle, Jack, Blow, Sarah, Bolton, Matthew, Borra, Catherine, Bowles, Ruth, Burton, Maudrian, Choudhury, Yasmin, Collier, David, Cox, Amber, Easthope, Amy, Ebano, Patrizia, Fotiadis, Stavro, Gurasashvili, Jana, Halls, Rosslyn, Hartridge, Pippa, Kallon, Delordson, Kassam, Jamila, Lancoma-Malcolm, Ivone, Matharu, Maninderpal, May, Peter, Mitchelmore, Oliver, Newman, Tabitha, Patel, Mital, Pheby, Jane, Pinzuti, Irene, Prime, Zoe, Prysyazhna, Oleksandra, Shiel, Julian, Taylor, Melanie, Tierney, Carey, Wood, Suzanne, Zak, Anne, Zongo, Olivier, Forsey, Miranda, Nicholson, Anne, Riches, Joanne, Vertue, Mark, Wasson, Christopher, Finn, Stephanie, Green, Jackie, Collins, Erin, King, Bernadette, Grauslyte, Lina, Hussain, Musarat, Pogreban, Tatiana, Rosaroso, Lace, Salciute, Erika, Franke, George, Wong, Joanna, George, Aparna, Akeroyd, Louise, Bano, Shereen, Bromley, Matt, Gurr, Lucy, Lawton, Tom, Morgan, Jame, Sellick, Kirsten, Warren, Deborah, Wilkinson, Brian, Mcgowan, Janet, Ledgard, Camilla, Stacey, Amelia, Pye, Kate, Bellwood, Ruth, Bentley, Michael, Loosley, Ronda, Mcguinness, Heather, Tench, Helen, Wolf-Roberts, Rebecca, Gibson, Sian, Lyle, Amanda, Mcneela, Fiona, Radhakrishnan, Jayachandran, Hughes, Alistair, Ali, Asifa, Brady, Megan, Dale, Sam, Dance, Annalisa, Gledhill, Lisa, Greig, Jill, Hanson, Kathryn, Holdroyd, Kelly, Home, Marie, Kelly, Diane, Kitson, Ro, Matapure, Lear, Melia, Deborah, Mellor, Samantha, Nortcliffe, Tonicha, Pinnell, Jez, Robinson, Matthew, Shaw, Lisa, Shaw, Ryan, Thomis, Lesley, Wilson, Alison, Wood, Tracy, Bayo, Lee-Ann, Merwaha, Ekta, Ishaq, Tahira, Hanley, Sarah, Antcliffe, David, Banach, Dorota, Brett, Stephen, Coghlan, Phoebe, Fernandez, Ziortza, Gordon, Anthony, Rojo, Roceld, Arias, Sonia Sousa, Templeton, Maie, Jha, Rajeev, Krishnamurthy, Vinodh, Lim, Lai, Bi, Rehana, Scholefield, Barney, Ashton, Lydia, Williams, Alison, Cheyne, Claire, Saunderson, Anne, Allan, Angela, Anderson, Felicity, Kaye, Callum, Liew, Jade, Medhora, Jasmine, Scott, Teresa, Trumper, Erin, Botello, Adriana, Polgarova, Petra, Stroud, Katerina, Meaney, Eoghan, Jones, Megan, Ng, Anthony, Agrawal, Shruti, Pathan, Nazima, White, Deborah, Daubney, Esther, Elston, Kay, Parker, Robert, Reddy, Amie, Turner-Bone, Ian, Wilding, Laura, Harding, Peter, Jacob, Reni, Jones, Cathy, Denmade, Craig, Croft, Maria, White, Ian, Lim, Li, Griffin, Denise, Muchenje, Nycola, Mupudzi, Mcdonald, Partridge, Richard, Conyngham, Jo-Anna, Thomas, Rachel, Wright, Mary, Corral, Maria Alvarez, Bastion, Victoria, Clarke, Daphene, David, Beena, Kent, Harriet, Lorusso, Rachel, Lubimbi, Gamu, Murdoch, Sophie, Penacerrada, Melchizedek, Thomas, Alastair, Valentine, Jennifer, Vochin, Ana, Wulandari, Retno, Djeugam, Brice, Dawson, Joy, Garrioch, Sweyn, Tolson, Melanie, Aldridge, Jonathan, de Almeida Martins, Laura Gome, Carungcong, Jaime, Beavis, Sarah, Dale, Katie, Gascoyne, Rachel, Hawes, Joanne, Pritchard, Kelly, Stevenson, Lesley, Whileman, Amanda, Cowley, Anne, Highgate, Judith, Crawley, Rikki, Crew, Abigail, Cunningham, Mishell, Daniels, Allison, Harrison, Laura, Hope, Susan, Inweregbu, Ken, Jones, Sian, Lancaster, Nicola, Matthews, Jamie, Nicholson, Alice, Wray, Gemma, Benham, Leonie, Bradshaw, Zena, Brown, Joanna, Caswell, Melanie, Melling, Sarah, Preston, Stephen, Slawson, Nicola, Stoddard, Emma, Warden, Scott, Combes, Edward, Joefield, Teishel, Monnery, Sonja, Beech, Valerie, Trotman, Sallyanne, Hopkins, Bridget, Scriven, Jame, Thrasyvoulou, Laura, Willis, Heather, Anderson, Susan, Birch, Janine, Collins, Emma, Hammerton, Kate, O’Leary, Ryan, Abernathy, Caroline, Foster, Louise, Gratrix, Andrew, Martinson, Vicky, Parkinson, Priyai, Stones, Elizabeth, Carbral-Ortega, Llucia, Kapoor, Ritoo, Loader, David, Castle, Karen, Brandwood, Craig, Smith, Lara, Clark, Richard, Birchall, Katie, Kolakaluri, Laurel, Baines, Deborah, Sukumaran, Anila, Mapfunde, Isheunesu, Meredith, Megan, Morris, Lucy, Ryan, Lucy, Clark, Amy, Sampson, Julia, Peters, Cecilia, Dent, Martin, Langley, Margaret, Ashraf, Saima, Wei, Shuying, Andrew, Angela, Chablani, Manish, Kirkby, Amy, Netherton, Kimberley, Bates, Michelle, Dasgin, Jo, Gill, Jaspret, Nilsson, Annette, Apetri, Elena, Basikolo, Cathrine, Blackledge, Bethan, Catlow, Laura, Charles, Bethan, Doonan, Reece, Harris, Jade, Harvey, Alice, Horner, Daniel, Knowles, Karen, Lee, Stephanie, Lomas, Diane, Lyons, Chloe, Marsden, Tracy, Mclaughlan, Danielle, Mcmorrow, Liam, Pendlebury, Jessica, Perez, Jane, Poulaka, Maria, Proudfoot, Nicola, Slaughter, Melanie, Slevin, Kathryn, Thomas, Vicky, Walker, Danielle, Michael, Angiy, Collis, Matthew, Clark, Martyn, Coulding, Martina, Jude, Edward, Mccormick, Jacqueline, Mercer, Oliver, Potla, Darsh, Rehman, Hafiz, Savill, Heather, Turner, Victoria, Davey, Miriam, Golden, David, Seaman, Rebecca, Hunt, Jodie, Dearden, Joy, Dobson, Emma, Mulcahy, Michelle, Munt, Sheila, O’Connor, Grainne, Philbin, Jennifer, Rishton, Chloe, Tully, Redmond, Winnard, Sarah, Cagova, Lenka, Fofano, Adama, Garner, Lucie, Holcombe, Helen, Mepham, Sue, Mitchell, Alice Michael, Mwaura, Lucy, Praman, K., Vuylsteke, Alain, Zamikula, Julie, Bercades, Georgia, Brealey, David, Hass, Ingrid, Maccallum, Niall, Martir, Glady, Raith, Eamon, Reyes, Anna, Smyth, Deborah, Taylor, Abigail, Hughes, Rachel Anne, Thomas, Helen, Rees, Alun, Duskova, Michaela, Phipps, Janet, Brooks, Suzanne, Edwards, Michelle, Alexander, Peter, Allen, Schvearn, Bradley-Potts, Joanne, Brantwood, Craig, Egan, Jasmine, Felton, Timothy, Padden, Grace, Ward, Luke, Moss, Stuart, Glasgow, Susannah, Beesley, Kate, Board, Sarah, Kubisz-Pudelko, Agnieszka, Lewis, Alison, Perry, Je, Pippard, Lucy, Wood, Di, Buckley, Clare, Brown, Alison, Gregory, Jane, O’Connell, Susan, Smith, Tim, Belagodu, Zakaula, Fuller, Bridget, Gherman, Anca, Olufuwa, Olumide, Paramsothy, Remi, Stuart, Carmel, Oakley, Naomi, Kamundi, Charlotte, Tyl, David, Collins, Katy, Silva, Pedro, Taylor, June, King, Laura, Coates, Charlotte, Crowley, Maria, Wakefield, Phillipa, Beadle, Jane, Johnson, Laura, Sargeant, Janet, Anderson, Madeleine, Jardine, Catherine, Williams, Dewi, Parris, Victoria, Quaid, Sheena, Watson, Ekaterina, Melville, Julie, Naisbitt, Jay, Joseph, Rosane, Lazo, Maria, Walton, Olivia, Neal, Alan, Hill, Michaela, Kannan, Thogulava, Wild, Laura, Allan, Elizabeth, Darlington, Kate, Davies, Ffyon, Easton, Jack, Kumar, Sumit, Lean, Richard, Menzies, Daniel, Pugh, Richard, Qiu, Xinyi, Davies, Llino, Williams, Hannah, Scanlon, Jeremy, Davies, Gwyneth, Mackay, Callum, Lewis, Joannne, Rees, Stephanie, Coetzee, Samantha, Gales, Alistair, Raj, Meena, Sell, Craig, Langton, Helen, Watters, Malcolm, Novis, Catherine, Arbane, Gill, Bociek, Aneta, Campos, Sara, Grau, Neu, Jones, Tim Owen, Lim, Rosario, Marotti, Martina, Whitton, Christopher, Barron, Anthony, Collins, Ciara, Kaul, Sundeep, Passmore, Heather, Prendergast, Claire, Reed, Anna, Rogers, Paula, Shokkar, Rajvinder, Woodruff, Meriel, Middleton, Hayley, Polgar, Oliver, Nolan, Claire, Thwaites, Vicky, Mahay, Kanta, Sri-Chandana, Chunda, Scherewode, Joslan, Stephenson, Lorraine, Marsh, Sarah, Bancroft, Hollie, Bellamy, Mary, Carmody, Margaret, Daglish, Jacqueline, Moore, Faye, Rhodes, Joanne, Sangombe, Mirriam, Kadiri, Salma, Ayers, Amanda, Harrison, Wendy, North, Julie, Cavazza, Anna, Cockrell, Maeve, Corcoran, Eleanor, Depante, Maria, Finney, Clare, Jerome, Ellen, Mcphail, Mark, Nayak, Monalisa, Noble, Harriet, O’Reilly, Kevin, Pappa, Evita, Saha, Rohit, Saha, Sian, Smith, John, Knighton, Abigail, Gill, Mandy, Paul, Paul, Ratnam, Valli, Shelton, Sarah, Wynter, Inez, Baptista, David, Crowe, Rebecca, Fernandes, Rita, Herdman-Grant, Rosaleen, Joseph, Anna, Loveridge, Adam, Mckenley, India, Morino, Eriko, Naranjo, Andre, Simms, Richard, Sollesta, Kathryn, Swain, Andrew, Venkatesh, Harish, Khera, Jacyntha, Fox, Jonathan, Barber, Russell, Hewitt, Claire, Hilldrith, Annette, Jackson-Lawrence, Karen, Shepardson, Sarah, Wills, Maryanne, Butler, Susan, Tavares, Silvia, Cunningham, Amy, Hindale, Julia, Arif, Sarwat, George, Linsha, Twiss, Sophie, Wright, David, Holland, Maureen, Keenan, Natalie, Lyons, Marc, Wassall, Helen, Marsh, Chri, Mahenthran, Mervin, Carter, Emma, Kong, Thoma, Adanini, Oluronke, Bhatia, Nikhil, Msiska, Maine, Mew, Louise, Mwaura, Esther, Williams, Felicity, Wren, Lynn, Sutherland, Sara-Beth, Battle, Ceri, Brinkworth, Elaine, Harford, Rachel, Murphy, Carl, Newey, Luke, Rees, Tabitha, Williams, Marie, Arnold, Sophie, Hardy, John, Houlden, Henry, Moncur, Eleanor, Tariq, Ambreen, Tucci, Arianna, Convery, Karen, Fottrell-Gould, Deirdre, Hudig, Lisa, Keshet-Price, Jocelyn, Randell, Georgina, Stammers, Katie, Abdelrazik, Marwa, Bakthavatsalam, Dhanalakshmi, Elhassan, Munzir, Ganesan, Arunkumar, Haldeos, Anne, Moreno-Cuesta, Jeronimo, Purohit, Dharam, Vincent, Rachel, Xavier, Kugan, Rohit, Kumar, Alasdair, Frater, Saleem, Malik, David, Carter, Jenkins, Samuel, Lamond, Zoe, Wall, Alanna, Reynolds, Jessica, Campbell, Helen, Thompsom, Maria, Dodds, Steve, Duffy, Stacey, Butcher, Deborah, O’Sullivan, Susie, Butterworth-Cowin, Nicola, Deacon, Bethan, Hibbert, Meg, Pothecary, Carla, Tetla, Dariusz, Woodford, Christopher, Durga, Latha, Kennard-Holden, Gareth, de Gordoa, Laura Ortiz-Ruiz, Peasgood, Emily, Phillips, Claire, Skinner, Denise, Gaylard, Jane, Mullan, Dee, Newman, Julie, Davies, Ellie, Roche, Lisa, Sathe, Sonia, Brimfield, Lutece, Daly, Zoe, Pogson, David, Rose, Steve, Collins, Amy, Khaliq, Waqa, Gude, Estefania Treu, Allen, Louise, Beranova, Eva, Crisp, Nikki, Deery, Joanne, Hazelton, Tracy, Knight, Alicia, Price, Carly, Tilbey, Sorrell, Turki, Salah, Turney, Sharon, Giles, Julian, Booth, Simon, Bell, Gillian, English, Katy, Katary, Amro, Wilcox, Louise, Campbell, Rachael, Clarke, Noreen, Whiteside, Jonathan, Mascarenhas, Mairi, Donaldson, Avril, Matheson, Joanna, Barrett, Fiona, O’Hara, Marianne, O’Keefe, Laura, Bradley, Clare, Collier, Dawn, Walker, Rachel, Maynard, Victoria, Patel, Tahera, Smith, Matthew, Kazi, Aayesha, Hartley, Janice, Dykes, Joseph, Hijazi, Muhammad, Keith, Sarah, Khan, Meherunnisa, Ryan-Smith, Janet, Springle, Philippa, Thomas, Jacqueline, Truman, Nick, Saad, Samuel, Coleman, Dabheoc, Fine, Christopher, Matt, Roseanna, Gay, Bethan, Dalziel, Jack, Ali, Syamlan, Goodchild, Drew, Harling, Rhiannan, Bhatterjee, Ravi, Goddard, Wendy, Davison, Chloe, Duberly, Stephen, Hargreaves, Jeanette, Bolton, Rachel, Verlander, Mark, Williams, Alexandra, Blackman, Helen, Creagh-Brown, Ben, Donlon, Sinead, Michalak-Glinska, Natalia, Mtuwa, Sheila, Pristopan, Veronika, Salberg, Armorel, Smith, Eleanor, Stone, Sarah, Piercy, Charle, Verula, Jerik, Burda, Dorota, Montaser, Rugia, Harden, Lesley, Mayangao, Irving, Marriott, Cheryl, Bradley, Paul, Harris, Celia, Cooper, Joshua, Finch, Cheryl, Liderth, Sarah, Quinn, Alison, Waddington, Natalia, Fidler, Katy, Tagliavini, Emma, Donnelly, Kevin, Abel, Lynn, Brett, Michael, Digby, Brian, Gemmell, Lisa, Hornsby, Jame, Macgoey, Patrick, O’Neil, Pauline, Price, Richard, Rodden, Natalie, Rooney, Kevin, Sundaram, Radha, Thomson, Nicola, Flanagan, Rebecca, Hughes, Gareth, Latham, Scott, Mckenna, Emma, Anderson, Jennifer, Hull, Robert, Rhead, Kat, Branney, Debbie, Frankham, Jordan, Pitts, Sally, White, Nigel, Cristiano, Daniele, Dormand, Natalie, Farzad, Zohreh, Gummadi, Mahitha, Liyanage, Kamal, Patel, Brijesh V., Salmi, Sara, Sloane, Geraldine, Varghese, Mathew, Zborowski, Anelise C., Bean, Sarah, Burt, Karen, Spivey, Michael, Eastgate-Jackson, Christine, Filipe, Helder, Martin, Daniel, Maharajh, Amitaa, Garcia, Sara Mingo, De Neef, Mark, Lynch, Ceri, Howe, Gwenllian Sera, Singh, Jayaprakash, Turner, Keri, Ellis, Hannah, Stroud, Natalie, Cherian, Shiney, Cutler, Sean, Heron, Anne Emma, Roynon-Reed, Anna, Williams, Gemma, Richards, Owen, Cheema, Yusuf, Ahmad, Norfaizan, Barker, Joann, Bauchmuller, Kri, Bird, Sarah, Cawthron, Kay, Harrington, Kate, Jackson, Yvonne, Kibutu, Faith, Lenagh, Becky, Masuko, Shamiso, Raithatha, Ajay, Wiles, Matthew, Willson, Jayne, Newell, Helen, Lye, Alison, Nwafor, Lorenza, Jarman, Claire, Rowland-Jones, Sarah, Foote, David, Cole, Joby, Thompson, Roger, Watson, Jame, Hesseldon, Lisa, Macharia, Irene, Chetam, Luke, Smith, Jacqui, Ford, Amber, Anderson, Samantha, Birchall, Kathryn, Housley, Kay, Walker, Sara, Milner, Leanne, Hanratty, Helena, Trower, Helen, Phillips, Patrick, Oxspring, Simon, Donne, Ben, Bevan, Emily, Martin, Jane, Trodd, Dawn, Watson, Geoff, Brown, Caroline Wrey, Bunni, Lara, Jennings, Claire, Latif, Monica, Marshall, Rebecca, Subramanian, Gayathri, Bandla, Nageswar, Gellamucho, Minnie, Davies, Michelle, Thompson, Christopher, Trim, Fiona, Eapen, Beena, Ahmed, Cecilia, Baines, Balvinder, Clamp, Sarah, Colley, Julie, Haq, Risna, Hayes, Anne, Hulme, Jonathan, Hussain, Samia, Joseph, Sibet, Kumar, Rita, Maqsood, Zahira, Purewal, Manjit, Chandler, Ben, Elliott, Kerry, Mallinson, Janine, Turnbull, Alison, Dent, Kathy, Horsley, Elizabeth, Akhtar, Muhmmad Nauman, Pearson, Sandra, Potoczna, Dorota, Spencer, Sue, Blakemore, Hayley, Borislavova, Borislava, Faulkner, Beverley, Gendall, Emma, Goff, Elizabeth, Hayes, Kati, Thomas, Matt, Worner, Ruth, Smith, Kerry, Stephens, Deanna, Delgado, Carlos Castro, Dawson, Deborah, Ding, Lijun, Durrant, Georgia, Ezeobu, Obiageri, Farnell-Ward, Sarah, Harrison, Abiola, Kanu, Rebecca, Leaver, Susannah, Maccacari, Elena, Manna, Soumendu, Saluzzio, Romina Peperman, Queiroz, Joana, Samakomva, Tinashe, Sicat, Christine, Texeira, Joana, Da Gloria, Edna Fernande, Lisboa, Ana, Rawlins, John, Mathew, Jisha, Kinch, Ashley, Hurt, William Jame, Shah, Nirav, Clark, Victoria, Thanasi, Maria, Yun, Nikki, Patel, Kamal, Crickmore, Vikki, Debreceni, Gabor, Wilkins, Joy, Nicol, Liz, Burn, Iona, Hambrook, Geraldine, Manso, Katarina, Penn, Ruth, Shanmugasundaram, Pradeep, Tebbutt, Julie, Thornton, Danielle, Rostron, Anthony, Roy, Alistair, Woods, Lindsey, Cornell, Sarah, Wakinshaw, Fiona, Rogerson, Kimberley, Jarmain, Jordan, Anderson, Peter, Archer, Katie, Austin, Karen, Davis, Caroline, Durie, Alison, Kelsall, Olivia, Thrush, Jessica, Vigurs, Charlie, Wood, Hannah-Louise, Tranter, Helen, Harrison, Alison, Cowley, Nichola, Mcalindon, Michael, Digby, Stephen, Low, Emma, Morgan, Aled, Cother, Naiara, Rankin, Tobia, Clayton, Sarah, Mccurdy, Alex, Allibone, Suzanne, Mary-Genetu, Roman, Patel, Amit, Mac, Ainhi, Murphy, Anthony, Mahjoob, Parisa, Nazari, Roonak, Worsley, Lucy, Fagan, Andrew, Mohamed Ali, Inthakab Ali, Beaumont, Karen, Blunt, Mark, Coton, Zoe, Curgenven, Hollie, Elsaadany, Mohamed, Fernandes, Kay, Ally, Sameena Mohamed, Rangarajan, Harini, Sarathy, Varun, Selvanayagam, Sivarupan, Vedage, Dave, White, Matthew, Fernandez-Roman, Jaime, Hamilton, David O., Johnson, Emily, Johnston, Brian, Martinez, Maria Lopez, Mulla, Suleman, Shaw, David, Waite, Alicia A. C., Waugh, Victoria, Welters, Ingeborg D., Williams, Karen, Bemand, Thoma, Black, Ethel, Rosa, Arnold Dela, Howle, Ryan, Jhanji, Shaman, Baikady, Ravishankar Rao, Tatham, Kate Colette, Thomas, Benjamin, Halkes, Matthew, Mercer, Pauline, Thornton, Lorraine, West, Joe, Baird, Tracy, Ruddy, Jim, Reece-Anthony, Rosie, Birt, Mark, Cowton, Amanda, Kay, Andrea, Kent, Melanie, Potts, Kathryn, Wilkinson, Ami, Naylor, Suzanne, Brown, Ellen, Clark, Michele, Purvis, Sarah, Cole, Jade, Davies, Rhy, Duffin, Donna, Hill, Helen, Player, Ben, Thomas, Emma, Williams, Angharad, Beith, Claire Marie, Black, Karen, Clements, Suzanne, Morrison, Alan, Strachan, Dominic, Taylor, Margaret, Clarkson, Michelle, D’Sylva, Stuart, Norman, Kathryn, Coventry, Tina, Fowler, Susan, Mcgregor, Amanda, Brady, Ailbhe, Chan, Rebekah, Mcivor, Shane, Prady, Helena, Whittle, Helen, Mathew, Bijoy, Clapham, Melanie, Harper, Rosemary, Poultney, Una, Rice, Polly, Mutch, Rachel, Baird, Yolanda, Butler, Aaron, Chadbourn, Indra, Folkes, Linda, Fox, Heather, Gardner, Amy, Gomez, Raquel, Hobden, Gillian, King, Kirsten, Margarson, Michael, Martindale, Tim, Meadows, Emma, Raynard, Dana, Thirlwall, Yvette, Helm, David, Margalef, Jordi, Greer, Sandra, Shuker, Karen, Smuts, Sara, Duffield, Joseph, Smith, Oliver, Mallon, Lewi, Claire, Watkin, Birkinshaw, Isobel, Carter, Joseph, Howard, Kate, Ingham, Joanne, Joy, Rosie, Pearson, Harriet, Roche, Samantha, Scott, Zoe, Knights, Ellen, Price, Alicia, Thomas, Alice, Thorpe, Chri, Abraheem, Azmerelda, Bamford, Peter, Cawley, Kathryn, Dunmore, Charlie, Faulkner, Maria, Girach, Rumanah, Jeffrey, Helen, Jones, Rhianna, London, Emily, Nagra, Imrun, Nasir, Farah, Sainsbury, Hannah, Smedley, Clare, Khade, Reena, Sundar, Ashok, Tsinaslanidis, George, Behan, Teresa, Burnett, Caroline, Hatton, Jonathan, Heeney, Elaine, Mitra, Atideb, Newton, Maria, Pollard, Rachel, Stead, Rachael, Birch, Jenny, Bough, Laura, Goodsell, Josie, Tutton, Rebecca, Williams, Patricia, Williams, Sarah, Winter-Goodwin, Barbara, Auld, Fiona, Donnachie, Joanne, Edmond, Ian, Prentice, Lynn, Runciman, Nikole, Salutous, Dario, Symon, Lesley, Todd, Anne, Turner, Patricia, Short, Abigail, Sweeney, Laura, Murdoch, Euan, Senaratne, Dhaneesha, Burns, Karen, Higham, Andrew, Anderson, Taya, Hawcutt, Dan, O’Malley, Laura, Rad, Laura, Rogers, Naomi, Saunderson, Paula, Allison, Kathryn Sian, Afolabi, Deborah, Whitbread, Jennifer, Jones, Dawn, Dore, Rachael, Lankester, Liana, Nikitas, Nikita, Wells, Colin, Stowe, Bethan, Spencer, Kayleigh, Cathcart, Susanne, Duffy, Katharine, Puxty, Alex, Puxty, Kathryn, Turner, Lynne, Ireland, Jane, Semple, Gary, Barry, Peter, Hilltout, Paula, Evitts, Jayne, Tyler, Amanda, Waldron, Joanne, Irvine, Val, Shelley, Benjamin, Akinkugbe, Olugbenga, Bamford, Alasdair, Beech, Emily, Belfield, Holly, Bell, Michael, Davies, Charlene, Jones, Gareth A. L., Mchugh, Tara, Meghari, Hamza, O’Neill, Lauran, Peters, Mark J., Ray, Samiran, Tomas, Ana Luisa, Gorman, Claire, Gupta, Abhinav, Timlick, Elizabeth, Brady, Rebecca, Bonner, Stephen, Hugill, Keith, Jones, Jessica, Liggett, Steven, Bashyal, Archana, Davidson, Neil, Hutton, Paula, Mckechnie, Stuart, Wilson, Jean, Flint, Neil, Rekha, Patel, Hales, Dawn, Cruz, Carina, Gopal, Shameer, Harris, Nichola, Lake, Victoria, Metherell, Stella, Radford, Elizabeth, Clement, Ian, Patel, Bijal, Gulati, A., Hays, Carole, Webster, K., Hudson, Anne, Webster, Andrea, Stephenson, Elaine, Mccormack, Louise, Slater, Victoria, Nixon, Rachel, Hanson, Helen, Fearby, Maggie, Kelly, Sinead, Bridgett, Victoria, Robinson, Philip, Almaden-Boyle, Christine, Austin, Pauline, Cabrelli, Louise, Cole, Stephen, Casey, Matt, Chapman, Susan, Whyte, Clare, Brayne, Adam, Fisher, Emma, Hunt, Jane, Jackson, Peter, Kaye, Duncan, Love, Nichola, Parkin, Juliet, Tuckey, Victoria, van Koutrik, Lynne, Carter, Sasha, Andrew, Benedict, Findlay, Louise, Adams, Katie, Bruce, Michelle, Connolly, Karen, Duncan, Tracy, T. -Michael, Helen, Lindergard, Gabriella, Hey, Samuel, Fox, Claire, Alfonso, Jordan, Durrans, Laura Jayne, Guerin, Jacinta, Hruska, Martin, Eltayeb, Ayaa, Lamb, Thoma, Hodgkiss, Tracey, Cooper, Lisa, Rothwell, Joanne, Dennis, Catherine, Mcgregor, Alastair, Srikaran, Sinduya, Sukha, Anisha, Davies, Kim, O’Brien, Linda, Omar, Zohra, Perkins, Emma, Lewis, Tracy, Sutherland, Isobel, Brooke, Hollie, Buckley, Sarah, Suarez, Jose Cebrian, Charlesworth, Ruth, Hansson, Karen, Norris, John, Poole, Alice, Rose, Alastair, Sandhu, Rajdeep, Sloan, Brendan, Smithson, Elizabeth, Thirumaran, Muthu, Wagstaff, Veronica, Metcalfe, Alexandra, Camsooksai, Julie, Humphrey, Charlotte, Jenkins, Sarah, Wadams, Beverley, Death, Yasmin, Adams, Colene, Agasou, Anita, Arden, Tracie, Bowes, Amy, Boyle, Pauline, Beekes, Mandy, Button, Heather, Capps, Nigel, Carnahan, Mandy, Carter, Anne, Childs, Danielle, Donaldson, Denise, Hard, Kelly, Hurford, Fran, Hussain, Yasmin, Javaid, Ayesha, Jones, Jame, Jose, Sanal, Leigh, Michael, Martin, Terry, Millward, Helen, Motherwell, Nichola, Rikunenko, Rachel, Stickley, Jo, Summers, Julie, Ting, Louise, Tivenan, Helen, Tonks, Louise, Wilcox, Rebecca, Bokhari, Maria, Lucas, Rachael, Mccormick, Wendy, Ritzema, Jenny, Sanderson, Amanda, Wild, Helen, Baxter, Nicola, Henderson, Steven, Kennedy-Hay, Sophie, Mcparland, Christopher, Rooney, Laura, Sim, Malcolm, Mccreath, Gordan, Brunton, Mark, Caterson, Je, Coles, Holly, Frise, Matthew, Rai, Sabi Gurung, Keating, Liza, Tilney, Emma, Bartley, Shauna, Bhuie, Parminder, Downes, Charlotte, Holding, Kathleen, Riches, Katie, Hilton, Mary, Hayman, Mel, Subramanian, Deepak, Daniel, Priya, Zitter, Letizia, Benyon, Sarah, Marriott, Suzie, Park, Linda, Keenan, Samantha, Gordon, Elizabeth, Quinn, Helen, Baines, Kizzy, Andrew, Gillian, Barclay, Lucy, Callaghan, Marie, Clark, Sarah, Hope, Dave, Marshall, Lucy, Mcculloch, Corrienne, Briton, Kate, Singleton, Jo, Birch, Sophie, Simpson, Kerry, Craig, Jayne, Demetriou, Carrie, Eckbad, Charlotte, Hierons, Sarah, Howie, Lucy, Mitchard, Sarah, Ramos, Lidia, Serrano-Ruiz, Alfredo, White, Katie, Kelly, Fiona, Amin, Vishal, Anastasescu, Elena, Anumakonda, Vikram, Karthik, Komala, Kausar, Rizwana, Reid, Karen, Smith, Jacqueline, Imeson-Wood, Janet, Bellini, Arianna, Bryant, Jade, Mayer, Anton, Pickard, Amy, Roe, Nichola, Sowter, Jason, Howlett, Alex, Criste, Kristine, Cusack, Rebecca, Golder, Kim, Golding, Hannah, Jones, Oliver, Leggett, Samantha, Male, Michelle, Marani, Martyna, Prager, Kirsty, Williams, Toran, Roberts, Belinda, Salmon, Karen, Gondo, Prisca, Hadebe, B., Kayani, Abdul, Masunda, Bridgett, Ahmed, Ashar, Morris, Anna, Jakkula, Sriniva, Long, Kate, Whiteley, Simon, Wilby, Elizabeth, Ogg, Bethan, Moultrie, Sam, Odam, M., Bewley, Jeremy, Garland, Zoe, Grimmer, Lisa, Gumbrill, Bethany, Johnson, Rebekah, Sweet, Katie, Webster, Denise, Efford, Georgia, Bennett, Sara, Goodwin, Emma, Jackson, Matthew, Kent, Alissa, Tibke, Clare, Woodyatt, Wiesia, Zaki, Ahmed, Daniel, Amelia, Finn, Joanne, Saha, Rajnish, Bremmer, Pamela, Allan, J., Geary, T., Houston, Gordon, Meikle, A., O’Brien, P., Bell, Dina, Boyle, Rosalind, Douglas, Katie, Glass, Lynn, Lee, Emma, Lennon, Liz, Rattray, Austin, Charnock, Rob, Mcfarland, Denise, Cosgrove, Denise, Attwood, Ben, Parsons, Penny, Carmody, Siobhain, Oblak, Metod, Popescu, Monica, Thankachen, Mini, Baruah, Rosie, Morris, Sheila, Ferguson, Susie, Shepherd, Amy, Altabaibeh, Abdelhakim, Alvaro, Ana, Gilbert, Kayleigh, Ma, Louise, Mostoles, Loreta, Parmar, Chetan, Simpson, Kathryn, Jetha, Champa, Booker, Lauren, Pratley, Anezka, Cosier, Tracey, Millen, Gemma, Schumacher, Natasha, Weston, Heather, Rand, Jame, Alex, Beatrice, Bach, Benjamin, Barclay, Wendy S., Bogaert, Debby, Chand, Meera, Cooke, Graham S., Docherty, Annemarie B., Dunning, Jake, da Silva Filipe, Ana, Fletcher, Tom, Green, Christoper A., Harrison, Ewen M., Hiscox, Julian A., Ijaz, Samreen, Khoo, Saye, Lim, Wei Shen, Mentzer, Alexander J., Merson, Laura, Noursadeghi, Mahdad, Moore, Shona C., Palmarini, Massimo, Paxton, William A., Pollakis, Georgio, Price, Nichola, Rambaut, Andrew, Robertson, David L., Sancho-Shimizu, Vanessa, Scott, Janet T., de Silva, Thushan, Sigfrid, Louise, Solomon, Tom, Sriskandan, Shiranee, Stuart, David, Tedder, Richard S., Thomson, Emma C., Roger Thompson, A. A., Thwaites, Ryan S., Turtle, Lance C. W., Gupta, Rishi K., Palmieri, Carlo, Swann, Olivia V., Zambon, Maria, Dumas, Marc-Emmanuel, Griffin, Julian L., Takats, Zoltan, Chechi, Kanta, Andrikopoulos, Petro, Osagie, Anthonia, Olanipekun, Michael, Liggi, Sonia, Lewis, Matthew R., Correia, Gonçalo dos Santo, Sands, Caroline J., Takis, Panteleimon, Maslen, Lynn, Greenhalf, William, Shaw, Victoria, Mcdonald, Sarah E., Keating, Seán, Ahmed, Katie A., Armstrong, Jane A., Ashworth, Milton, Asiimwe, Innocent G., Bakshi, Siddharth, Barlow, Samantha L., Booth, Laura, Brennan, Benjamin, Bullock, Katie, Catterall, Benjamin W. A., Clark, Jordan J., Clarke, Emily A., Cooper, Louise, Cox, Helen, Davis, Christopher, Dincarslan, Oslem, Dunn, Chri, Dyer, Philip, Elliott, Angela, Evans, Anthony, Finch, Lorna, Fisher, Lewis W. S., Foster, Terry, Garcia-Dorival, Isabel, Gunning, Philip, Hartley, Catherine, Jensen, Rebecca L., Jones, Christopher B., Jones, Trevor R., Khandaker, Shadia, King, Katharine, Kiy, Robyn T., Koukorava, Chrysa, Lake, Annette, Lant, Suzannah, Latawiec, Diane, Lavelle-Langham, Lara, Lefteri, Daniella, Lett, Lauren, Livoti, Lucia A., Mancini, Maria, Mcdonald, Sarah, Mcevoy, Laurence, Mclauchlan, John, Metelmann, Soeren, Miah, Nahida S., Middleton, Joanna, Mitchell, Joyce, Murphy, Ellen G., Penrice-Randal, Rebekah, Pilgrim, Jack, Prince, Tessa, Reynolds, Will, Ridley, P. Matthew, Sales, Debby, Shaw, Victoria E., Shears, Rebecca K., Small, Benjamin, Subramaniam, Krishanthi S., Szemiel, Agnieska, Taggart, Aislynn, Tanianis-Hughes, Jolanta, Thomas, Jordan, Trochu, Erwan, van Tonder, Libby, Wilcock, Eve, Zhang, J. Eunice, Flaherty, Lisa, Maziere, Nicole, Cass, Emily, Carracedo, Alejandra Doce, Carlucci, Nicola, Holmes, Anthony, Massey, Hannah, Murphy, Lee, Wrobel, Nicola, Mccafferty, Sarah, Morrice, Kirstie, Maclean, Alan, Armstrong, Ruth, Boz, Ceilia, Brown, Adam, Coutts, Audrey, Cullum, Louise, Day, Nicky, Donnelly, Lorna, Duncan, Esther, Fawkes, Angie, Finernan, Paul, Gilchrist, Tammy, Golightly, Ailsa, Hafezi, Katarzyna, Law, Dawn, Law, Rachel, Law, Sarah, Macgillivray, Louise, Mal, Hanning, Mcmaster, Ellie, Meikle, Jen, Oosthuyzen, Wilna, Paterson, Trevor, Stenhouse, Andrew, Swets, Maaike, Szoor-McElhinney, Helen, Taneski, Filip, Wackett, Tony, Ward, Mairi, Weaver, Jane, Coyle, Judy, Gallagher, Bernadette, Lidstone-Scott, Rebecca, Hamilton, Debbie, Schon, Katherine, Furlong, Anita, Biggs, Heather, Griffiths, Fiona, Andrews, Eleanor, Brickell, Kathy, Smyth, Michelle, Murphy, Lorna, Carson, Gail, Hardwick, Hayley, Donohue, Chloe, Pérez-Tur, Jordi [0000-0002-9111-1712], Martín, Javier [0000-0002-2202-0622], Institute for Molecular Medicine Finland [Helsinki] (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki-University of Helsinki, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Massachusetts General Hospital [Boston], A list of authors and their affiliations appears in the Supplementary Information, Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, 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), 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-21-COVR-0039,GenMIS-C,Recherche des Déficits immunitaires innées monogéniques prédisposant au syndrome inflammatoire multisystémique chez l'enfant.(2021), UCL - SSS/IREC/GAEN - Pôle d'Hépato-gastro-entérologie, UCL - (MGD) Service de gastro-entérologie, Niemi, M, Karjalainen, J, Liao, R, Neale, B, Daly, M, Ganna, A, Pathak, G, Andrews, S, Kanai, M, Veerapen, K, Fernandez-Cadenas, I, Schulte, E, Striano, P, Marttila, M, Minica, C, Marouli, E, Karim, M, Wendt, F, Savage, J, Sloofman, L, Butler-Laporte, G, Kim, H, Kanoni, S, Okada, Y, Byun, J, Han, Y, Uddin, M, Smith, G, Willer, C, Buxbaum, J, Mehtonen, J, Finucane, H, Cordioli, M, Martin, A, Zhou, W, Pasaniuc, B, Julienne, H, Aschard, H, Shi, H, Yengo, L, Polimanti, R, Ghoussaini, M, Schwartzentruber, J, Dunham, I, Chwialkowska, K, Francescatto, M, Trankiem, A, Balaconis, M, Davis, L, Lee, S, Priest, J, Renieri, A, Sankaran, V, van Heel, D, Deelen, P, Richards, J, Nakanishi, T, Biesecker, L, Kerchberger, V, Baillie, J, Mari, F, Bernasconi, A, Baillie, S, Canakoglu, A, 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[0000-0003-1513-6077], Apollo - University of Cambridge Repository, Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Life Course Epidemiology (LCE), Groningen Research Institute for Asthma and COPD (GRIAC), Guided Treatment in Optimal Selected Cancer Patients (GUTS), AII - Infectious diseases, Amsterdam Neuroscience - Neuroinfection & -inflammation, Neurology, Infectious diseases, Center of Experimental and Molecular Medicine, APH - Aging & Later Life, APH - Global Health, APH - Quality of Care, Amsterdam institute for Infection and Immunity, APH - Health Behaviors & Chronic Diseases, Global Health, APH - Methodology, Graduate School, ACS - Heart failure & arrhythmias, Anesthesiology, ACS - Diabetes & metabolism, APH - Digital Health, APH - Personalized Medicine, ACS - Microcirculation, Niemi, M. E. K., Liao, R. G., Neale, B. M., Pathak, G. A., Andrews, S. J., Schulte, E. C., Karim, M. A., Wendt, F. R., Kim, H. -N., Uddin, M. J., Smith, G. D., Willer, C. J., Buxbaum, J. D., Martin, A. R., Balaconis, M. K., Sankaran, V. G., Brent Richards, J., Eric Kerchberger, V., Kenneth Baillie, J., Dutta, A. K., Uddin, M. M., Perez-Tur, J., Verdugo, R. A., Zarate, R., Medina-Gomez, C., Gomez-Cabrero, D., Cadilla, C. L., Boua, P. R., Fave, M. -J., Lemacon, A., Szentpeteri, J. L., Ahmad, H. F., Kornilov, S. A., Prokic, I., Pearson, N. M., Shelton, J. F., Shastri, A. J., Weldon, C. H., Brouwer, M. C., Vlaar, A. P. J., Joost Wiersinga, W., Algera, A. G., Bogaard, H. J., Bonta, P. I., Grobusch, M. P., Hermans, S. M., Hovius, J. W., de Jong, M. D., Nossent, E. J., Prins, J. M., Schultz, M. J., Stijnis, C. S., Minnaar, R. P., van Uffelen, K. W. J., Wolterman, R. A., Ball, C. A., Mccurdy, S., Hong, E. L., Baltzell, A. H., Goffard, J. -C., Peree, H., Leonard, P., Giot, J. -B., Sauvage, A. -S., Wery, M., Morrison, D. R., Chasse, M., Kaufmann, D. E., Mark Lathrop, G., Davis, L. K., Cox, N. J., Below, J. E., Sealock, J. M., Faucon, A. B., Shuey, M. M., Polikowsky, H. G., Petty, L. E., Shaw, D. M., Chen, H. -H., Ludwig, K. U., Schroder, J., Nothen, M. M., Jensen, B. -E. O., Altmuller, J., Berger, M. M., Gogele, M., Gignoux, C. R., Wicks, S. J., Barnes, K. C., Goldstein, D. B., Reilly, M. P., Gharavi, A. G., O'Byrne, S. M., So, Y. S., Park, S. -K., Kim, H. -L., Kang, C. K., Lee, H. -J., Song, K. -H., Yoon, K. J., Paik, N. -J., Joo, E. -J., Park, W. B., Park, J. S., Park, K. U., Ham, S. Y., Kim, E. S., Kim, H. B., Caceres, M., Lenz, T. L., Julia, A., Holter, J. C., Fernandez, J., Sander, L. E., Banales, J. M., Romero-Gomez, M., Hov, J. R., Karlsen, T. H., Wacker, E. M., Elabd, H., Ruhlemann, M. C., Vadla, M. S., Lenning, O. B., Ozer, O., Kassens, J., Figuera Basso, M. E., Ortiz, A. B., Chercoles, A. G., Holten, A. R., Kildal, A. B., Gluck, A., Nolla, A. C., Dyrhol-Riise, A. M., Spinner, C. D., Hoff, D. A. L., Jimenez, D., Pestana, D., Helbig, E. T., Paraboschi, E. M., Sanchez, F. G., Hernandez, I., Galvan-Femenia, I., Badia, J. R., Muller, K. E., Gaede, K. I., Lippert, L. J., Tellez, L., Gutierrez-Stampa, M. A., Vehreschild, M. J. G. T., Marquie, M., Seilmaier, M. J., Rodriguez-Gandia, M., Ayo, N. I., Martinez, N., Cornely, O. A., Rodrigues, P. M., Espana, P. P., Garcia-Fernandez, A. -E., Fracanzani, A. L., Muniz-Diaz, E., Calderon, E. J., Solligard, E., Medrano, F. J., Muller, F., Afset, J. E., Damas, J. K., Ferrusquia-Acosta, J., Quero, J. H., Guerrero, J. M., Bettini, L. R., Gustad, L. T., Valsecchi, M. G., D'Angio, M., Gallego-Duran, R., Cejudo, T. G., Grimsrud, M. M., Gudbjartsson, D. F., Moore, K. H. S., Alarcon-Riquelme, M. E., Martinez-Bueno, M., Rello, S. R., Lall, K., Bochud, P. -Y., Nussle, S. G., Meyer zu Bentrup, F., Merlet Viollet, R., Guery, B., Hugli, O., Gonseth Nussle, S., Estoppey Younes, S., Rochat Negro, T., Mercader, J. M., Castano-Vinyals, G., Dobano, C., Mondelli, M. U., Mazzei, M. A., Caldarelli, G. P., Monforte, A. D., Scotton, P. G., Monica, M. D., Mandala, M., Coviello, D. A., La Rovere, M. T., Segala, F. V., Mencarelli, M. A., Pinto, A. M., Carriero, M. L., Ann Belli, M., Antoni, M. D., Miraglia, F. G., Parisi, S. G., Squeo, G. M., Botta, G., Hunt, K. A., Trembath, R. C., Martin, H. C., Griffiths, C. J., Curtis, C. J., Huang, Q. Q., Lee, S. H., Macarthur, D., Maclaughlin, B., Smith, A. V., Boughton, A. P., Li, K. W., Lefaive, J., Jannes, C. E., Krieger, J. E., Pereira, A. C., Lima, I. R., Tada, M. T., Mccarthy, M., Lee, J. E., Lee, H. S., Jang, H. Y., Kim, Y. -S., Kwon, K. T., Kim, S. -W., Kim, J. Y., Jang, Y. R., Kim, H., Lee, J. Y., Choe, K. -W., Kang, Y. M., Jee, S. H., Jung, K. J., Schroth, G. P., Desouza, F., Cirulli, E. T., Schiabor Barrett, K. M., Washington, N. L., Lu, J. T., Ramirez, J. M., Grzymski, J. J., Minano, J. I. E., Aguirre, L. A., Lopez-Collazo, E., Lozano-Rodriguez, R., Avendano-Ortiz, J., Arcos, V. T., Montalban-Hernandez, K. M., Quiroga, J. V., Martin-Quiros, A., Nakada, T. -A., Vonk, J. M., Ori, A. P. S., Hernandez Cordero, A. I., Sin, D. D., Bosse, Y., Feng, Y. -C. A., Weiss, S. T., Karlson, E. W., Smoller, J. W., Murphy, S. N., Meigs, J. B., Woolley, A. E., Green, R. C., Perez, E. F., Zollner, S., Sloofman, L. G., Sebra, R. P., Collins, B. L., Sealfon, S. C., Jordan, D. M., Thompson, R. C., Belbin, G. M., Underwood, S. J., Hiester, L. L., Charney, A. W., Beckmann, N. D., Schadt, E. E., Abul-Husn, N. S., Cho, J. H., Kenny, E. E., Loos, R. J. F., Nadkarni, G. N., Huckins, L. M., Ferreira, M. A. R., Abecasis, G. R., Leader, J. B., Cantor, M. N., Justice, A. E., Carey, D. J., Josyula, N. S., Kosmicki, J. A., Horowitz, J. E., Gass, M. C., Hottenga, J. J., de Geus, E. J. C., Nivard, M. G., Ritchie, M. D., Verma, S. S., Vari, M. S., Rahier, J. -F., Bulik, C. M., Landen, M., Ferrero, G. B., Fundin, B., Ismail, S. I., Badji, R. M., Hultstrom, M., Geschwind, D. H., Butte, M. J., Chang, T. S., Caulfield, M. J., Scott, R. H., Odhams, C. A., Karczewski, K. J., Wilson, D. J., Spencer, C. A., Crook, D. W., Wyllie, D. H., O'Connell, A. M., Atkinson, E. G., Walters, R. K., Palmer, D. S., Goldstein, J. I., Kyle Satterstrom, F., Earle, S. G., Lin, S. -K., Rudkin, J. K., Zhao, J. H., Butterworth, A. S., Sun, Y. V., Huffman, J. E., O'Donnell, C. J., Michael Gaziano, J., Ho, Y. -L., Glessner, J. R., Mcguigan, P. J., Moore, L. S. P., Vizcaychipi, M. P., Page, V. J., Aldera, E. L., Cutino-Moguel, M. -T., Durand, I., Hawcutt, D. B., Macmahon, M., Macnaughton, E., Mccullough, K., Mcewen, R., O'Shea, M. K., Pooni, J. S., Wooton, D. G., Bretherick, A. D., Fourman, M. H., Meynert, A. M., Ponting, C. P., Porteous, D. J., Russell, C. D., Wilson, J. F., Drake, T. M., Fairfield, C. J., Knight, S. R., Mclean, K. A., Shaw, C. A., Ho, A. Y. W., Horby, P. W., Mcauley, D., Openshaw, P. J. M., Semple, M. G., Mcgowan, J., Mcguinness, H., Mcneela, F., Bayo, L. -A., Arias, S. S., Conyngham, J. -A., Corral, M. A., de Almeida Martins, L. G., Mclaughlan, D., Mcmorrow, L., Mccormick, J., Mitchell, A. M., Maccallum, N., Hughes, R. A., Jones, T. O., Mcphail, M., Mckenley, I., Sutherland, S. -B., de Gordoa, L. O. -R., Gude, E. T., Macgoey, P., Mckenna, E., Patel, B. V., Zborowski, A. C., Garcia, S. M., Howe, G. S., Heron, A. E., Mills, G. H., Brown, C. W., Akhtar, M. N., Delgado, C. C., Saluzzio, R. P., Da Gloria, E. F., Hurt, W. J., Wood, H. -L., Mcalindon, M., Mccurdy, A., Ali, I. A. M., Ally, S. M., Hamilton, D. O., Lopez Martinez, M., Waite, A. A. C., Welters, I. D., Rosa, A. D., Baikady, R. R., Tatham, K. C., Beith, C. M., Mcgregor, A., Mcivor, S., Allison, K. S., Jones, G. A. L., Mchugh, T., Peters, M. J., Tomas, A. L., Mckechnie, S., Mccormack, L., Michael, H. T., Durrans, L. J., Suarez, J. C., Death, Y., Mccormick, W., Mccreath, G., Rai, S. G., Mcculloch, C., Mcfarland, D., Barclay, W. S., Cooke, G. S., Docherty, A. B., Green, C. A., Harrison, E. M., Hiscox, J. A., Lim, W. S., Mentzer, A. J., Paxton, W. A., Robertson, D. L., Scott, J. T., Tedder, R. S., Thomson, E. C., Thwaites, R. S., Gupta, R. K., Swann, O. V., Dumas, M. -E., Griffin, J. L., Lewis, M. R., dos Santos Correia, G., Sands, C. J., Mcdonald, S. E., Ahmed, K. A., Armstrong, J. A., Asiimwe, I. G., Barlow, S. L., Catterall, B. W. A., Clark, J. J., Clarke, E. A., Fisher, L. W. S., Jensen, R. L., Jones, C. B., Jones, T. R., Kiy, R. T., Livoti, L. A., Mcdonald, S., Mcevoy, L., Mclauchlan, J., Miah, N. S., Moore, S. C., Murphy, E. G., Matthew Ridley, P., Shaw, V. E., Shears, R. K., Subramaniam, K. S., Eunice Zhang, J., Carracedo, A. D., Mccafferty, S., Turtle, L. C. W., Data Science Genetic Epidemiology Lab, Institute for Molecular Medicine Finland, HUS Helsinki and Uusimaa Hospital District, University of Helsinki, Research Programs Unit, Doctoral Programme in Population Health, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Genomics of Neurological and Neuropsychiatric Disorders, and University of Zurich
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Male ,45/43 ,Autoimmunity ,Autoimmunity/genetics ,Body Mass Index ,COVID-19/genetics ,COVID-19/virology ,Critical Illness ,Female ,Genetic Loci/genetics ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Geographic Mapping ,Hospitalization ,Host-Pathogen Interactions/genetics ,Humans ,Inflammation/complications ,Information Dissemination ,Multifactorial Inheritance ,Racial Groups/genetics ,SARS-CoV-2/pathogenicity ,Smoking ,environmental risk factors ,Q1 ,631/208 ,0302 clinical medicine ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,Genetics, Genome-wide association studies, SARS-CoV-2, Viral infection ,GWAS ,Aetiology ,Lung ,QC ,0303 health sciences ,HERITABILITY ,3. Good health ,covid-19 ,Science & Technology - Other Topics ,Identification (biology) ,Infection ,Human ,631/208/205/2138 ,Settore BIO/11 - Biologia Molecolare ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Clinical Research ,Biodefense ,Genetics ,GENOME-WIDE ASSOCIATION ,Medisinske Fag: 700::Basale medisinske, odontologiske og veterinærmedisinske fag: 710::Medisinsk genetikk: 714 [VDP] ,METAANALYSIS ,1000 Multidisciplinary ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Science & Technology ,Prevention ,Racial Groups ,Pneumonia ,genetic architecture ,Human genetics ,Genetic Loci ,genetic factors ,570 Life sciences ,biology ,030217 neurology & neurosurgery ,Medizin ,Infektionsmedicin ,Genome-wide association studies ,Settore BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Pandemic ,2.1 Biological and endogenous factors ,pandemi ,Multidisciplinary ,article ,Public Health, Global Health, Social Medicine and Epidemiology ,Racial Group ,10124 Institute of Molecular Life Sciences ,Host-Pathogen Interaction ,Multidisciplinary Sciences ,Infectious Diseases ,Host-Pathogen Interactions ,Critical Illne ,COVID-19, GWAS, genetic factors, environmental risk factors, therapy ,Infectious Medicine ,Coronavirus disease 2019 (COVID-19) ,SUSCEPTIBILITY LOCI ,General Science & Technology ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Computational biology ,Biology ,Vaccine Related ,692/699/255/2514 ,Environmental risk ,Mendelian randomization ,COVID-19 Host Genetics Initiative ,QH426 ,631/326/596/4130 ,030304 developmental biology ,Inflammation ,therapy ,SARS-CoV-2 ,Human Genome ,COVID-19 ,Genetic architecture ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Emerging Infectious Diseases ,Good Health and Well Being ,Viral infection ,3111 Biomedicine - Abstract
Niemi, Mari E. K. et al. 39 páginas, figuras y tablas. Contiene material suplementario., The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3-7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.
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- 2021
6. The pharmacogenomics of inhaled corticosteroids and lung function decline in COPD
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Obeidat M, Faiz A, Li X, van den Berge M, Hansel NN, Joubert P, Hao K, Brandsma C-A, Rafaels N, Mathias R, Ruczinski I, Beaty TH, Barnes KC, Man SFP, Paré PD, and Sin DD
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Respiratory System ,1116 Medical Physiology, 11 Medical and Health Sciences - Abstract
Inhaled corticosteroids (ICS) are widely prescribed for patients with chronic obstructive pulmonary disease (COPD), yet have variable outcomes and adverse reactions, which may be genetically determined. The primary aim of the study was to identify the genetic determinants for forced expiratory volume in 1 s (FEV1) changes related to ICS therapy.In the Lung Health Study (LHS)-2, 1116 COPD patients were randomised to the ICS triamcinolone acetonide (n=559) or placebo (n=557) with spirometry performed every 6 months for 3 years. We performed a pharmacogenomic genome-wide association study for the genotype-by-ICS treatment effect on 3 years of FEV1 changes (estimated as slope) in 802 genotyped LHS-2 participants. Replication was performed in 199 COPD patients randomised to the ICS, fluticasone or placebo.A total of five loci showed genotype-by-ICS interaction at p
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- 2019
7. The Law of Rights of Light
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Michael Barnes KC and Michael Barnes KC
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- Solar access rights--England
- Abstract
The book provides the authoritative statement on the current law on rights of light in England and Wales. The protection of the access of natural light to properties has been a part of our property law for centuries but in recent years has come into particular prominence. This is due to a number of reasons including the existence of easements of light being regarded as an inhibition on new development and the unsatisfactory nature of parts of the law on this subject. This has given rise to two reports in recent years by the Law Commission (one on easements generally in 2011 and one on rights of light specifically in 2014), both containing major proposals for law reform. The purpose of this legal textbook is to explain the law as clearly as possible. In practice rights of light issues and disputes involve technical subjects and inevitably answers to these questions require the expertise of technical experts such as light surveyors. An attempt is made in the book to explain from a non-technical point of view the way in which measurements and calculations are carried out in this area. It is therefore hoped that the book will be of use to lawyers as well as to landowners who may not always understand these technical subjects and to surveyors who may not always be familiar with the legal concepts and difficulties involved in the area of the law of rights of light.
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- 2015
8. An integrated map of genetic variation from 1,092 human genomes
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Altshuler, DM, Durbin, RM, Abecasis, GR, Bentley, DR, Chakravarti, A, Clark, AG, Donnelly, P, Eichler, EE, Flicek, P, Gabriel, SB, Gibbs, RA, Green, ED, Hurles, ME, Knoppers, BM, Korbel, JO, Lander, ES, Lee, C, Lehrach, H, Mardis, ER, Marth, GT, McVean, GA, Nickerson, DA, Schmidt, JP, Sherry, ST, Wang, J, Wilson, RK, Dinh, H, Kovar, C, Lee, S, Lewis, L, Muzny, D, Reid, J, Wang, M, Fang, X, Guo, X, Jian, M, Jiang, H, Jin, X, Li, G, Li, J, Li, Y, Li, Z, Liu, X, Lu, Y, Ma, X, Su, Z, Tai, S, Tang, M, Wang, B, Wang, G, Wu, H, Wu, R, Yin, Y, Zhang, W, Zhao, J, Zhao, M, Zheng, X, Zhou, Y, Gupta, N, Clarke, L, Leinonen, R, Smith, RE, Zheng-Bradley, X, Grocock, R, Humphray, S, James, T, Kingsbury, Z, Sudbrak, R, Albrecht, MW, Amstislavskiy, VS, Borodina, TA, Lienhard, M, Mertes, F, Sultan, M, Timmermann, B, Yaspo, M-L, Fulton, L, Fulton, R, Weinstock, GM, Balasubramaniam, S, Burton, J, Danecek, P, Keane, TM, Kolb-Kokocinski, A, McCarthy, S, Stalker, J, Quail, M, Davies, CJ, Gollub, J, Webster, T, Wong, B, Zhan, Y, Auton, A, Yu, F, Bainbridge, M, Challis, D, Evani, US, Lu, J, Nagaswamy, U, Sabo, A, Wang, Y, Yu, J, Coin, LJM, Fang, L, Li, Q, Lin, H, Liu, B, Luo, R, Qin, N, Shao, H, Xie, Y, Ye, C, Yu, C, Zhang, F, Zheng, H, Zhu, H, Garrison, EP, Kural, D, Lee, W-P, Leong, WF, Ward, AN, Wu, J, Zhang, M, Griffin, L, Hsieh, C-H, Mills, RE, Shi, X, Von Grotthuss, M, Zhang, C, Daly, MJ, DePristo, MA, Banks, E, Bhatia, G, Carneiro, MO, Del Angel, G, Genovese, G, Handsaker, RE, Hartl, C, McCarroll, SA, Nemesh, JC, Poplin, RE, Schaffner, SF, Shakir, K, Yoon, SC, Lihm, J, Makarov, V, Jin, H, Kim, W, Kim, KC, Rausch, T, Beal, K, Cunningham, F, Herrero, J, McLaren, WM, Ritchie, GRS, Gottipati, S, Keinan, A, Rodriguez-Flores, JL, Sabeti, PC, Grossman, SR, Tabrizi, S, Tariyal, R, Cooper, DN, Ball, EV, Stenson, PD, Barnes, B, Bauer, M, Cheetham, RK, Cox, T, Eberle, M, Kahn, S, Murray, L, Peden, J, Shaw, R, Ye, K, Batzer, MA, Konkel, MK, Walker, JA, MacArthur, DG, Lek, M, Herwig, R, Shriver, MD, Bustamante, CD, Byrnes, JK, De la Vega, FM, Gravel, S, Kenny, EE, Kidd, JM, Lacroute, P, Maples, BK, Moreno-Estrada, A, Zakharia, F, Halperin, E, Baran, Y, Craig, DW, Christoforides, A, Homer, N, Izatt, T, Kurdoglu, AA, Sinari, SA, Squire, K, Xiao, C, Sebat, J, Bafna, V, Burchard, EG, Hernandez, RD, Gignoux, CR, Haussler, D, Katzman, SJ, Kent, WJ, Howie, B, Ruiz-Linares, A, Dermitzakis, ET, Lappalainen, T, Devine, SE, Maroo, A, Tallon, LJ, Rosenfeld, JA, Michelson, LP, Kang, HM, Anderson, P, Angius, A, Bigham, A, Blackwell, T, Busonero, F, Cucca, F, Fuchsberger, C, Jones, C, Jun, G, Lyons, R, Maschio, A, Porcu, E, Reinier, F, Sanna, S, Schlessinger, D, Sidore, C, Tan, A, Trost, MK, Awadalla, P, Hodgkinson, A, Lunter, G, Marchini, JL, Myers, S, Churchhouse, C, Delaneau, O, Gupta-Hinch, A, Iqbal, Z, Mathieson, I, Rimmer, A, Xifara, DK, Oleksyk, TK, Fu, Y, Xiong, M, Jorde, L, Witherspoon, D, Xing, J, Browning, BL, Alkan, C, Hajirasouliha, I, Hormozdiari, F, Ko, A, Sudmant, PH, Chen, K, Chinwalla, A, Ding, L, Dooling, D, Koboldt, DC, McLellan, MD, Wallis, JW, Wendl, MC, Zhang, Q, Tyler-Smith, C, Albers, CA, Ayub, Q, Chen, Y, Coffey, AJ, Colonna, V, Huang, N, Jostins, L, Li, H, Scally, A, Walter, K, Xue, Y, Zhang, Y, Gerstein, MB, Abyzov, A, Balasubramanian, S, Chen, J, Clarke, D, Habegger, L, Harmanci, AO, Jin, M, Khurana, E, Mu, XJ, Sisu, C, Degenhardt, J, Stuetz, AM, Church, D, Michaelson, JJ, Ben, B, Lindsay, SJ, Ning, Z, Frankish, A, Harrow, J, Fowler, G, Hale, W, Kalra, D, Barker, J, Kelman, G, Kulesha, E, Radhakrishnan, R, Roa, A, Smirnov, D, Streeter, I, Toneva, I, Vaughan, B, Ananiev, V, Belaia, Z, Beloslyudtsev, D, Bouk, N, Chen, C, Cohen, R, Cook, C, Garner, J, Hefferon, T, Kimelman, M, Liu, C, Lopez, J, Meric, P, O'Sullivan, C, Ostapchuk, Y, Phan, L, Ponomarov, S, Schneider, V, Shekhtman, E, Sirotkin, K, Slotta, D, Zhang, H, Barnes, KC, Beiswanger, C, Cai, H, Cao, H, Gharani, N, Henn, B, Jones, D, Kaye, JS, Kent, A, Kerasidou, A, Mathias, R, Ossorio, PN, Parker, M, Reich, D, Rotimi, CN, Royal, CD, Sandoval, K, Su, Y, Tian, Z, Tishkoff, S, Toji, LH, Via, M, Yang, H, Yang, L, Zhu, J, Bodmer, W, Bedoya, G, Ming, CZ, Yang, G, You, CJ, Peltonen, L, Garcia-Montero, A, Orfao, A, Dutil, J, Martinez-Cruzado, JC, Brooks, LD, Felsenfeld, AL, McEwen, JE, Clemm, NC, Duncanson, A, Dunn, M, Guyer, MS, Peterson, JL, 1000 Genomes Project Consortium, Dermitzakis, Emmanouil, Universitat de Barcelona, Massachusetts Institute of Technology. Department of Biology, Altshuler, David, and Lander, Eric S.
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Natural selection ,LOCI ,Genome-wide association study ,Evolutionary biology ,Continental Population Groups/genetics ,Human genetic variation ,VARIANTS ,Genoma humà ,Binding Sites/genetics ,0302 clinical medicine ,RARE ,Sequence Deletion/genetics ,WIDE ASSOCIATION ,ddc:576.5 ,Copy-number variation ,MUTATION ,Exome sequencing ,transcription factor ,Conserved Sequence ,Human evolution ,Sequence Deletion ,Genetics ,RISK ,0303 health sciences ,Multidisciplinary ,Continental Population Groups ,1000 Genomes Project Consortium ,Genetic analysis ,Genomics ,Polymorphism, Single Nucleotide/genetics ,Research Highlight ,3. Good health ,Algorithm ,Multidisciplinary Sciences ,Genetic Variation/genetics ,Map ,Science & Technology - Other Topics ,Conserved Sequence/genetics ,Integrated approach ,General Science & Technology ,Genetics, Medical ,Haplotypes/genetics ,Biology ,Polymorphism, Single Nucleotide ,Evolution, Molecular ,03 medical and health sciences ,Genetic variation ,Humans ,Transcription Factors/metabolism ,POPULATION-STRUCTURE ,1000 Genomes Project ,Polymorphism ,Nucleotide Motifs ,Alleles ,030304 developmental biology ,COPY NUMBER VARIATION ,Science & Technology ,Binding Sites ,Human genome ,Genome, Human ,Racial Groups ,Genetic Variation ,Genetics, Population ,Haplotypes ,Genome, Human/genetics ,untranslated RNA ,030217 neurology & neurosurgery ,Transcription Factors ,Genome-Wide Association Study - Abstract
By characterizing the geographic and functional spectrum of human genetic variation, the 1000 Genomes Project aims to build a resource to help to understand the genetic contribution to disease. Here we describe the genomes of 1,092 individuals from 14 populations, constructed using a combination of low-coverage whole-genome and exome sequencing. By developing methods to integrate information across several algorithms and diverse data sources, we provide a validated haplotype map of 38 million single nucleotide polymorphisms, 1.4 million short insertions and deletions, and more than 14,000 larger deletions. We show that individuals from different populations carry different profiles of rare and common variants, and that low-frequency variants show substantial geographic differentiation, which is further increased by the action of purifying selection. We show that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites. This resource, which captures up to 98% of accessible single nucleotide polymorphisms at a frequency of 1% in related populations, enables analysis of common and low-frequency variants in individuals from diverse, including admixed, populations., National Institutes of Health (U.S.) (Grant RC2HL102925), National Institutes of Health (U.S.) (Grant U54HG3067)
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- 2012
9. Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function
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Tang, WB, Kowgier, M, Loth, Daan, Artigas, MS, Joubert, BR, Hodge, E, Gharib, SA, Smith, AV, Ruczinski, I, Gudnason, V, Mathias, RA, Harris, TB, Hansel, NN, Launer, LJ (Lenore), Barnes, KC, Hansen, JG, Albrecht, E, Aldrich, MC, Allerhand, M, Barr, RG, Brusselle, Guy, Couper, DJ, Curjuric, I, Davies, G, Deary, IJ, Dupuis, J, Fall, T, Foy, M, Franceschini, N, Gao, W, Glaser, S, Gu, XJ, Hancock, DB, Heinrich, J (Joachim), Hofman, Bert, Imboden, M, Ingelsson, E, James, A, Karrasch, S, Koch, B, Kritchevsky, SB, Kumar, A, Lahousse, Lies, Li, G, Lind, L, Lindgren, C, Liu, YM, Lohman, K, Lumley, T, McArdle, WL, Meibohm, B, Morris, AP, Morrison, AC, Musk, B, North, KE, Palmer, LJ, Probst-Hensch, NM, Psaty, BM, Rivadeneira, Fernando, Rotter, JI, Schulz, H, Smith, LJ, Sood, A, Starr, JM, Strachan, DP, Teumer, A, Uitterlinden, André, Volzke, H, Voorman, A, Wain, LV, Wells, MT, Wilk, JB, Williams, OD, Heckbert, SR, Stricker, Bruno, London, SJ, Fornage, M, Tobin, MD, O'Connor, GT, Hall, IP, Cassano, PA, Tang, WB, Kowgier, M, Loth, Daan, Artigas, MS, Joubert, BR, Hodge, E, Gharib, SA, Smith, AV, Ruczinski, I, Gudnason, V, Mathias, RA, Harris, TB, Hansel, NN, Launer, LJ (Lenore), Barnes, KC, Hansen, JG, Albrecht, E, Aldrich, MC, Allerhand, M, Barr, RG, Brusselle, Guy, Couper, DJ, Curjuric, I, Davies, G, Deary, IJ, Dupuis, J, Fall, T, Foy, M, Franceschini, N, Gao, W, Glaser, S, Gu, XJ, Hancock, DB, Heinrich, J (Joachim), Hofman, Bert, Imboden, M, Ingelsson, E, James, A, Karrasch, S, Koch, B, Kritchevsky, SB, Kumar, A, Lahousse, Lies, Li, G, Lind, L, Lindgren, C, Liu, YM, Lohman, K, Lumley, T, McArdle, WL, Meibohm, B, Morris, AP, Morrison, AC, Musk, B, North, KE, Palmer, LJ, Probst-Hensch, NM, Psaty, BM, Rivadeneira, Fernando, Rotter, JI, Schulz, H, Smith, LJ, Sood, A, Starr, JM, Strachan, DP, Teumer, A, Uitterlinden, André, Volzke, H, Voorman, A, Wain, LV, Wells, MT, Wilk, JB, Williams, OD, Heckbert, SR, Stricker, Bruno, London, SJ, Fornage, M, Tobin, MD, O'Connor, GT, Hall, IP, and Cassano, PA
- Abstract
Background: Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function. Methods: We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis. Results: The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P = 5.71 x 10(-7)). In addition, meta-analysis using the five cohorts with >= 3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P = 2.18 x 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively. Conclusions: In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.
- Published
- 2014
10. Integration of Mouse and Human Genome-Wide Association Data Identifies KCNIP4 as an Asthma Gene
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Himes, BE, Sheppard, K, Berndt, A, Leme, AS, Myers, RA, Gignoux, CR, Levin, AM, Gauderman, WJ, Yang, JJ, Mathias, RA, Romieu, I, Torgerson, DG, Roth, LA, Huntsman, S, Eng, C, Klanderman, B, Ziniti, J, Senter-Sylvia, J, Szefler, SJ, Lemanske, RF, Zeiger, RS, Strunk, RC, Martinez, FD, Boushey, H, Chinchilli, VM, Israel, E, Mauger, D, Koppelman, GH, Postma, DS, Nieuwenhuis, MAE, Vonk, JM, Lima, JJ, Irvin, CG, Peters, SP, Kubo, M, Tamari, M, Nakamura, Y, Litonjua, AA, Tantisira, KG, Raby, BA, Bleecker, ER, Meyers, DA, London, SJ, Barnes, KC, Gilliland, FD, Williams, LK, Burchard, EG, Nicolae, DL, Ober, C, DeMeo, DL, Silverman, EK, Paigen, B, Churchill, G, Shapiro, SD, Weiss, ST, Himes, BE, Sheppard, K, Berndt, A, Leme, AS, Myers, RA, Gignoux, CR, Levin, AM, Gauderman, WJ, Yang, JJ, Mathias, RA, Romieu, I, Torgerson, DG, Roth, LA, Huntsman, S, Eng, C, Klanderman, B, Ziniti, J, Senter-Sylvia, J, Szefler, SJ, Lemanske, RF, Zeiger, RS, Strunk, RC, Martinez, FD, Boushey, H, Chinchilli, VM, Israel, E, Mauger, D, Koppelman, GH, Postma, DS, Nieuwenhuis, MAE, Vonk, JM, Lima, JJ, Irvin, CG, Peters, SP, Kubo, M, Tamari, M, Nakamura, Y, Litonjua, AA, Tantisira, KG, Raby, BA, Bleecker, ER, Meyers, DA, London, SJ, Barnes, KC, Gilliland, FD, Williams, LK, Burchard, EG, Nicolae, DL, Ober, C, DeMeo, DL, Silverman, EK, Paigen, B, Churchill, G, Shapiro, SD, and Weiss, ST
- Abstract
Asthma is a common chronic respiratory disease characterized by airway hyperresponsiveness (AHR). The genetics of asthma have been widely studied in mouse and human, and homologous genomic regions have been associated with mouse AHR and human asthma-related phenotypes. Our goal was to identify asthma-related genes by integrating AHR associations in mouse with human genome-wide association study (GWAS) data. We used Efficient Mixed Model Association (EMMA) analysis to conduct a GWAS of baseline AHR measures from males and females of 31 mouse strains. Genes near or containing SNPs with EMMA p-values <0.001 were selected for further study in human GWAS. The results of the previously reported EVE consortium asthma GWAS meta-analysis consisting of 12,958 diverse North American subjects from 9 study centers were used to select a subset of homologous genes with evidence of association with asthma in humans. Following validation attempts in three human asthma GWAS (i.e., Sepracor/LOCCS/LODO/Illumina, GABRIEL, DAG) and two human AHR GWAS (i.e., SHARP, DAG), the Kv channel interacting protein 4 (KCNIP4) gene was identified as nominally associated with both asthma and AHR at a gene- and SNP-level. In EVE, the smallest KCNIP4 association was at rs6833065 (P-value 2.9e-04), while the strongest associations for Sepracor/LOCCS/LODO/Illumina, GABRIEL, DAG were 1.5e-03, 1.0e-03, 3.1e-03 at rs7664617, rs4697177, rs4696975, respectively. At a SNP level, the strongest association across all asthma GWAS was at rs4697177 (P-value 1.1e-04). The smallest P-values for association with AHR were 2.3e-03 at rs11947661 in SHARP and 2.1e-03 at rs402802 in DAG. Functional studies are required to validate the potential involvement of KCNIP4 in modulating asthma susceptibility and/or AHR. Our results suggest that a useful approach to identify genes associated with human asthma is to leverage mouse AHR association data. © 2013 Himes et al.
- Published
- 2013
11. Quantitative linkage genome scan for atopy in a large collection of Caucasian families.
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Webb, BT, van den Oord, E, Akkari, A, Wilton, S, Ly, T, Duff, R, Barnes, KC, Carlsen, K, Gerritsen, J, Lenney, W, Silverman, M, Sly, P, Sundy, J, Tsanakas, J, von Berg, A, Whyte, M, Blumenthal, M, Vestbo, Jørgen, Middleton, L, Helms, PJ, Anderson, WH, Pillai, SG, Webb, BT, van den Oord, E, Akkari, A, Wilton, S, Ly, T, Duff, R, Barnes, KC, Carlsen, K, Gerritsen, J, Lenney, W, Silverman, M, Sly, P, Sundy, J, Tsanakas, J, von Berg, A, Whyte, M, Blumenthal, M, Vestbo, Jørgen, Middleton, L, Helms, PJ, Anderson, WH, and Pillai, SG
- Abstract
Quantitative phenotypes correlated with a complex disorder offer increased power to detect linkage in comparison to affected-unaffected classifications. Asthma is a complex disorder characterized by periods of bronchial obstruction and increased bronchial hyper reactivity. In childhood and early adulthood, asthma is frequently associated also with quantitative measures of atopy. Genome wide quantitative multipoint linkage analysis was conducted for serum IgE levels and percentage of positive skin prick test (SPT(per)) using three large groups of families originally ascertained for asthma. In this report, 438 and 429 asthma families were informative for linkage using IgE and SPT(per) which represents 690 independent families. Suggestive linkage (LOD >/= 2) was found on chromosomes 1, 3, and 8q with maximum LODs of 2.34 (IgE), 2.03 (SPT(per)), and 2.25 (IgE) near markers D1S1653, D3S2322-D3S1764, and D8S2324, respectively. The results from chromosomes 1 and 3 replicate previous reports of linkage. We also replicate linkage to 5q with peak LODs of 1.96 (SPT(per)) and 1.77 (IgE) at or near marker D5S1480. Our results provide further evidence implicating chromosomes 1, 3, and 5q. The current report represents one of the biggest genome scans so far reported for asthma related phenotypes. This study also demonstrates the utility of increased sample sizes and quantitative phenotypes in linkage analysis of complex disorders., Quantitative phenotypes correlated with a complex disorder offer increased power to detect linkage in comparison to affected-unaffected classifications. Asthma is a complex disorder characterized by periods of bronchial obstruction and increased bronchial hyper reactivity. In childhood and early adulthood, asthma is frequently associated also with quantitative measures of atopy. Genome wide quantitative multipoint linkage analysis was conducted for serum IgE levels and percentage of positive skin prick test (SPT(per)) using three large groups of families originally ascertained for asthma. In this report, 438 and 429 asthma families were informative for linkage using IgE and SPT(per) which represents 690 independent families. Suggestive linkage (LOD >/= 2) was found on chromosomes 1, 3, and 8q with maximum LODs of 2.34 (IgE), 2.03 (SPT(per)), and 2.25 (IgE) near markers D1S1653, D3S2322-D3S1764, and D8S2324, respectively. The results from chromosomes 1 and 3 replicate previous reports of linkage. We also replicate linkage to 5q with peak LODs of 1.96 (SPT(per)) and 1.77 (IgE) at or near marker D5S1480. Our results provide further evidence implicating chromosomes 1, 3, and 5q. The current report represents one of the biggest genome scans so far reported for asthma related phenotypes. This study also demonstrates the utility of increased sample sizes and quantitative phenotypes in linkage analysis of complex disorders.
- Published
- 2007
12. Association between Genetic Variants in Aquaproin-5 and Lung Function Decline in COPD.
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Hansel, NN, primary, Sidhaye, V, additional, Rafaels, NM, additional, Mathias, R, additional, Gao, L, additional, Gao, P, additional, Beaty, TH, additional, Wise, RA, additional, King, LS, additional, and Barnes, KC, additional
- Published
- 2009
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13. Variants in the Reactive Oxygen Species-Producing Enzyme Xanthine Oxidoreductase Gene Are Associated with Acute Lung Injury.
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Gao, L, primary, Murray, T, additional, Rafaels, N, additional, Grigoryev, DN, additional, Maloney, JP, additional, Moss, M, additional, Martin, G, additional, Shanholtz, C, additional, Garcia, JG, additional, Sevransky, J, additional, Beaty, TH, additional, Brower, R, additional, Hassoun, PM, additional, and Barnes, KC, additional
- Published
- 2009
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14. Genetics and bronchial asthma: What is new?
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Barnes Kc
- Subjects
Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,business.industry ,Pediatrics, Perinatology and Child Health ,medicine ,Medical emergency ,medicine.disease ,Intensive care medicine ,business ,Asthma - Published
- 1997
15. Genomewide association studies in allergy and the influence of ethnicity.
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Barnes KC and Barnes, Kathleen C
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- 2010
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16. High heritability but uncertain mode of inheritance for total serum IgE level and Schistosoma mansoni infection intensity in a schistosomiasis-endemic Brazilian population.
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Grant AV, Araujo MI, Ponte EV, Oliveira RR, Cruz AA, Barnes KC, and Beaty TH
- Abstract
BACKGROUND: Evidence of genetic control for total serum IgE (tIgE) level has been reported in multiple populations, although populations with substantial exposure to helminths have yielded lower estimates of heritability, despite evidence suggesting that genes also control a significant portion of the variation in the number of Schistosoma mansoni eggs per gram of fecal matter. METHODS: By use of a whole-population ascertainment scheme, 822 individuals were enrolled from a schistosomiasis-endemic area in Conde, Bahia, in Brazil. Heritability was estimated by using an additive polygenic model, and segregation analysis was performed for 2 quantitative traits, tIgE level and egg count. RESULTS: After adjusting for nongenetic covariates, the heritability of log-transformed tIgE level and log-transformed egg count was estimated at 60% and 31%, respectively. No evidence for a single major gene controlling tIgE level or egg count was observed in segregation analysis for 781 individuals and 403 individuals, respectively, in 318 families, however, which suggests complex biological control. CONCLUSIONS: The high heritability of tIgE level indicates that genetic factors are likely to control tIgE level even in the presence of helminthic infection. Substantial heritability for the burden of S. mansoni infection was confirmed in these Brazilian families. Further genetic studies will be needed to dissect the specific genetic factors that underlie these traits. Copyright © 2008 Infectious Diseases Society of America [ABSTRACT FROM AUTHOR]
- Published
- 2008
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17. Association of autoimmunity to peptidyl arginine deiminase type 4 with genotype and disease severity in rheumatoid arthritis.
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Harris ML, Darrah E, Lam GK, Bartlett SJ, Giles JT, Grant AV, Gao P, Scott WW Jr, El-Gabalawy H, Casciola-Rosen L, Barnes KC, Bathon JM, and Rosen A
- Abstract
OBJECTIVE: Protein citrullination is an important posttranslational modification recognized by rheumatoid arthritis (RA)-specific autoantibodies. One of the citrullinating enzymes, peptidyl arginine deiminase type 4 (PAD-4), is genetically associated with development of RA in some populations, although the mechanism(s) mediating this effect are not yet clear. There have been descriptions of anti-PAD-4 autoantibodies in different rheumatic diseases. This study was undertaken to investigate whether anti-PAD-4 antibodies are specific to RA, are associated with disease phenotype or severity, and whether PAD-4 polymorphisms influence the anti-PAD-4 autoantibody response. METHODS: Sera from patients with established RA, patients with other rheumatic diseases, and healthy adults were assayed for anti-PAD-4 autoantibodies by immunoprecipitation of in vitro-translated PAD-4. The epitope(s) recognized by PAD-4 autoantibodies were mapped using various PAD-4 truncations. PAD-4 genotyping was performed on RA patients with the TaqMan assay. Joint erosions were scored from hand and foot radiographs using the Sharp/van der Heijde method. RESULTS: PAD-4 autoantibodies were found in 36-42% of RA patients, and were very infrequent in controls. Recognition by anti-PAD-4 autoantibodies required the 119 N-terminal amino acids, which encompass the 3 nonsynonymous polymorphisms associated with disease susceptibility. Strikingly, the anti-PAD-4 immune response was associated with the RA susceptibility haplotype of PADI4. Anti-PAD-4 antibodies were associated with more severe joint destruction in RA. CONCLUSION: Our findings indicate that anti-PAD-4 antibodies are specific markers of RA, independently associated with more severe disease, suggesting that an anti-PAD-4 immune response may be involved in pathways of joint damage in this disease. Polymorphisms in the PADI4 gene influence the immune response to the PAD-4 protein, potentially contributing to disease propagation. [ABSTRACT FROM AUTHOR]
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- 2008
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18. A review of the genetic epidemiology of resistance to parasitic disease and atopic asthma: common variants for common phenotypes?
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Barnes KC, Grant AV, Gao P, Barnes, Kathleen C, Grant, Audrey V, and Gao, Peisong
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- 2005
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19. In vitro studies of lactoferrin and murine granulopoiesis
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Winton, EF, Kinkade, JM Jr, Vogler, WR, Parker, MB, and Barnes, KC
- Abstract
Human lactoferrin (LF) has been reported to inhibit in vitro granulopoiesis by means of decreasing colony-stimulating activity production by monocytes. We performed a series of experiments to determine if the reported experimental results could be replicated using highly purified murine LF and murine target cells. Three different types of experiments were performed. (1) Medium was conditioned by lung, femoral shaft, and adherent peritoneal cells in the presence and absence of LF, and the granulopoietic stimulating activity in the conditioned media was assayed by means of a 7-day agar colony assay and a 3-day liquid slide chamber assay, which quantitates 3H-TdR incorporation into DNA. (2) In cultures stimulated by an underlayer of adherent peritoneal cells, marrow cell colony formation in agar was determined after 7 days of culture in the presence or absence of LF. (3) LF was added to 3-day liquid marrow cell cultures that had been stimulated by lung or femoral shaft conditioned media. In all experimental situations, highly purified, iron-saturated LF in concentrations up to 10(-7) M had no effect on in vitro granulopoiesis. These results do not support LF's reputed regulatory role in granulopoiesis.
- Published
- 1981
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20. Density heterogeneity of neutrophilic polymorphonuclear leukocytes: gradient fractionation and relationship to chemotactic stimulation
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Pember, SO, Barnes, KC, Brandt, SJ, and Kinkade, JM Jr
- Abstract
When elicited murine peritoneal exudate cells were subjected to Percoll density gradient centrifugation, polymorphonuclear neutrophils (PMN) were found to distribute over a broad spectrum of buoyant densities (1.10–1.06 g/ml). PMN isolated between approximately 1.10 and 1.085 g/ml were referred to as high density PMN (HD-PMN), and those isolated at approximately 1.085–1.06 g/ml were designated intermediate density PMN (ID-PMN). Cells were characterized on the basis of morphology and specific markers: PMN by lactoferrin immunocytofluorescence and macrophages by nicotinamide adenine dinucleotide glycohydrase activity. Macrophages banded near the top of the gradient with a peak at 1.04 g/ml. At increasing times following elicitation, the ratio of HD to ID- PMN decreased. Decreased density of either murine HD-PMN or human peripheral blood PMN could be induced in vitro by exposure of the cells to endotoxin-activated serum. A decrease in buoyant density of human PMN was also demonstrated in vitro using the synthetic chemotactic peptide N-formyl-methionyl-leucyl-phenylalanine (FMLP). The response was time dependent, related to dose, and appeared to be mediated by the cell membrane receptor for FMLP. A competitive antagonist of FMLP binding, carbobenzoxy-phenylalanyl-methionine, inhibited the density change with a calculated Kd similar to that reported for inhibition of FMLP-induced aggregation, degranulation, locomotion, and superoxide production. The FMLP-induced decrease in PMN density was shown to be directly correlated with increases in relative mean cell volume. The density response is a new measurement of PMN interaction with specific chemotactic factors, which may be important in the generation of PMN heterogeneity observed in elicited peritoneal exudate cells. In addition, this approach offers a means of physically separating “activated” from “resting” PMN and of studying resultant biochemical differences between these cell populations using both in vivo and in vitro systems.
- Published
- 1983
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21. Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets
- Author
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Wain, LV, Shrine, N, Artigas, MS, Erzurumluoglu, AM, Noyvert, B, Bossini-Castillo, L, Obeidat, M, Henry, AP, Portelli, MA, Hall, RJ, Billington, CK, Rimington, TL, Fenech, AG, John, C, Blake, T, Jackson, VE, Allen, RJ, Prins, BP, Understanding Society Scientific Group, Campbell, A, Porteous, DJ, Jarvelin, M-R, Wielscher, M, James, AL, Hui, J, Wareham, NJ, Zhao, JH, Wilson, JF, Joshi, PK, Stubbe, B, Rawal, R, Schulz, H, Imboden, M, Probst-Hensch, NM, Karrasch, S, Gieger, C, Deary, IJ, Harris, SE, Marten, J, Rudan, I, Enroth, S, Gyllensten, U, Kerr, SM, Polasek, O, Kähönen, M, Surakka, I, Vitart, V, Hayward, C, Lehtimäki, T, Raitakari, OT, Evans, DM, Henderson, AJ, Pennell, CE, Wang, CA, Sly, PD, Wan, ES, Busch, R, Hobbs, BD, Litonjua, AA, Sparrow, DW, Gulsvik, A, Bakke, PS, Crapo, JD, Beaty, TH, Hansel, NN, Mathias, RA, Ruczinski, I, Barnes, KC, Bossé, Y, Joubert, P, Van Den Berge, M, Brandsma, C-A, Paré, PD, Sin, DD, Nickle, DC, Hao, K, Gottesman, O, Dewey, FE, Bruse, SE, Carey, DJ, Kirchner, HL, Geisinger-Regeneron DiscovEHR Collaboration, Jonsson, S, Thorleifsson, G, Jonsdottir, I, Gislason, T, Stefansson, K, Schurmann, C, Nadkarni, G, Bottinger, EP, Loos, RJF, Walters, RG, Chen, Z, Millwood, IY, Vaucher, J, Kurmi, OP, Li, L, Hansell, AL, Brightling, C, Zeggini, E, Cho, MH, Silverman, EK, Sayers, I, Trynka, G, Morris, AP, Strachan, DP, Hall, IP, and Tobin, MD
- Subjects
Adult ,Aged, 80 and over ,Male ,Middle Aged ,Polymorphism, Single Nucleotide ,Asthma ,respiratory tract diseases ,3. Good health ,Epigenesis, Genetic ,Pulmonary Disease, Chronic Obstructive ,Genetic Loci ,Risk Factors ,Humans ,Female ,Genetic Predisposition to Disease ,Lung ,Alleles ,Aged ,Genome-Wide Association Study - Abstract
Chronic obstructive pulmonary disease (COPD) is characterized by reduced lung function and is the third leading cause of death globally. Through genome-wide association discovery in 48,943 individuals, selected from extremes of the lung function distribution in UK Biobank, and follow-up in 95,375 individuals, we increased the yield of independent signals for lung function from 54 to 97. A genetic risk score was associated with COPD susceptibility (odds ratio per 1 s.d. of the risk score (∼6 alleles) (95% confidence interval) = 1.24 (1.20-1.27), P = 5.05 × 10‾⁴⁹), and we observed a 3.7-fold difference in COPD risk between individuals in the highest and lowest genetic risk score deciles in UK Biobank. The 97 signals show enrichment in genes for development, elastic fibers and epigenetic regulation pathways. We highlight targets for drugs and compounds in development for COPD and asthma (genes in the inositol phosphate metabolism pathway and CHRM3) and describe targets for potential drug repositioning from other clinical indications.
22. Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations.
- Author
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Szczesny B, Boorgula MP, Chavan S, Campbell M, Johnson RK, Kammers K, Thompson EE, Cox MS, Shankar G, Cox C, Morin A, Lorizio W, Daya M, Kelada SNP, Beaty TH, Doumatey AP, Cruz AA, Watson H, Naureckas ET, Giles BL, Arinola GA, Sogaolu O, Falade AG, Hansel NN, Yang IV, Olopade CO, Rotimi CN, Landis RC, Figueiredo CA, Altman MC, Kenny E, Ruczinski I, Liu AH, Ober C, Taub MA, Barnes KC, and Mathias RA
- Subjects
- Humans, Female, Male, Adult, Gene Regulatory Networks, Fibronectins metabolism, Fibronectins genetics, Case-Control Studies, Gene Expression Regulation, Middle Aged, Multiomics, Asthma genetics, Asthma metabolism, Nasal Mucosa metabolism, DNA Methylation, Tacrolimus Binding Proteins genetics, Tacrolimus Binding Proteins metabolism, Black People genetics
- Abstract
Asthma has striking disparities across ancestral groups, but the molecular underpinning of these differences is poorly understood and minimally studied. A goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to understand multi-omic signatures of asthma focusing on populations of African ancestry. RNASeq and DNA methylation data are generated from nasal epithelium including cases (current asthma, N = 253) and controls (never-asthma, N = 283) from 7 different geographic sites to identify differentially expressed genes (DEGs) and gene networks. We identify 389 DEGs; the top DEG, FN1, was downregulated in cases (q = 3.26 × 10
-9 ) and encodes fibronectin which plays a role in wound healing. The top three gene expression modules implicate networks related to immune response (CEACAM5; p = 9.62 × 10-16 and CPA3; p = 2.39 × 10-14 ) and wound healing (FN1; p = 7.63 × 10-9 ). Multi-omic analysis identifies FKBP5, a co-chaperone of glucocorticoid receptor signaling known to be involved in drug response in asthma, where the association between nasal epithelium gene expression is likely regulated by methylation and is associated with increased use of inhaled corticosteroids. This work reveals molecular dysregulation on three axes - increased Th2 inflammation, decreased capacity for wound healing, and impaired drug response - that may play a critical role in asthma within the African Diaspora., (© 2024. The Author(s).)- Published
- 2024
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23. Validation of human telomere length multi-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as human telomere length regulation genes.
- Author
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Keener R, Chhetri SB, Connelly CJ, Taub MA, Conomos MP, Weinstock J, Ni B, Strober B, Aslibekyan S, Auer PL, Barwick L, Becker LC, Blangero J, Bleecker ER, Brody JA, Cade BE, Celedon JC, Chang YC, Cupples LA, Custer B, Freedman BI, Gladwin MT, Heckbert SR, Hou L, Irvin MR, Isasi CR, Johnsen JM, Kenny EE, Kooperberg C, Minster RL, Naseri T, Viali S, Nekhai S, Pankratz N, Peyser PA, Taylor KD, Telen MJ, Wu B, Yanek LR, Yang IV, Albert C, Arnett DK, Ashley-Koch AE, Barnes KC, Bis JC, Blackwell TW, Boerwinkle E, Burchard EG, Carson AP, Chen Z, Chen YI, Darbar D, de Andrade M, Ellinor PT, Fornage M, Gelb BD, Gilliland FD, He J, Islam T, Kaab S, Kardia SLR, Kelly S, Konkle BA, Kumar R, Loos RJF, Martinez FD, McGarvey ST, Meyers DA, Mitchell BD, Montgomery CG, North KE, Palmer ND, Peralta JM, Raby BA, Redline S, Rich SS, Roden D, Rotter JI, Ruczinski I, Schwartz D, Sciurba F, Shoemaker MB, Silverman EK, Sinner MF, Smith NL, Smith AV, Tiwari HK, Vasan RS, Weiss ST, Williams LK, Zhang Y, Ziv E, Raffield LM, Reiner AP, Arvanitis M, Greider CW, Mathias RA, and Battle A
- Subjects
- Humans, K562 Cells, Polymorphism, Single Nucleotide, Gene Expression Regulation, CRISPR-Cas Systems, Genome-Wide Association Study, Telomere genetics, Telomere metabolism, Telomere Homeostasis genetics
- Abstract
Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of these genes, demonstrating that these loci are related to transcriptional regulation of KBTBD6 and POP5. Our results demonstrate the utility of telomere length GWAS in the identification of telomere length regulation mechanisms and validate KBTBD6 and POP5 as genes affecting telomere length regulation., (© 2024. The Author(s).)
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- 2024
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24. Pharmacogenomic insights in psychiatric care: uncovering novel actionability, allele-specific CYP2D6 copy number variation, and phenoconversion in 15,000 patients.
- Author
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Patel JN, Morris SA, Torres R, Rhead B, Vlangos C, Mueller DJ, Brown LC, Lefkofsky H, Ali M, De La Vega FM, Barnes KC, Zoghbi A, Stanton JD, and Badgeley MA
- Abstract
Pharmacogenomic testing has emerged as an aid in clinical decision making for psychiatric providers, but more data is needed regarding its utility in clinical practice and potential impact on patient care. In this cross-sectional study, we determined the real-world prevalence of pharmacogenomic actionability in patients receiving psychiatric care. Potential actionability was based on the prevalence of CYP2C19 and CYP2D6 phenotypes, including CYP2D6 allele-specific copy number variations (CNVs). Combined actionability additionally incorporated CYP2D6 phenoconversion and the novel CYP2C-TG haplotype in patients with available medication data. Across 15,000 patients receiving clinical pharmacogenomic testing, 65% had potentially actionable CYP2D6 and CYP2C19 phenotypes, and phenotype assignment was impacted by CYP2D6 allele-specific CNVs in 2% of all patients. Of 4114 patients with medication data, 42% had CYP2D6 phenoconversion from drug interactions and 20% carried a novel CYP2C haplotype potentially altering actionability. A total of 87% had some form of potential actionability from genetic findings and/or phenoconversion. Genetic variation detected via next-generation sequencing led to phenotype reassignment in 22% of individuals overall (2% in CYP2D6 and 20% in CYP2C19). Ultimately, pharmacogenomic testing using next-generation sequencing identified potential actionability in most patients receiving psychiatric care. Early pharmacogenomic testing may provide actionable insights to aid clinicians in drug prescribing to optimize psychiatric care., (© 2024. The Author(s).)
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- 2024
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25. Predictive genetic panel for adult asthma using machine learning methods.
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Gomes LGDS, Cruz ÁASD, de Santana MBR, Pinheiro GP, Santana CVN, Santos CBS, Boorgula MP, Campbell M, Machado AS, Veiga RV, Barnes KC, Costa RDS, and Figueiredo CA
- Abstract
Background: Asthma is a chronic inflammatory disease of the airways that is heterogeneous and multifactorial, making its accurate characterization a complex process. Therefore, identifying the genetic variations associated with asthma and discovering the molecular interactions between the omics that confer risk of developing this disease will help us to unravel the biological pathways involved in its pathogenesis., Objective: We sought to develop a predictive genetic panel for asthma using machine learning methods., Methods: We tested 3 variable selection methods: Boruta's algorithm, the top 200 genome-wide association study markers according to their respective P values, and an elastic net regression. Ten different algorithms were chosen for the classification tests. A predictive panel was built on the basis of joint scores between the classification algorithms., Results: Two variable selection methods, Boruta and genome-wide association studies, were statistically similar in terms of the average accuracies generated, whereas elastic net had the worst overall performance. The predictive genetic panel was completed with 155 single-nucleotide variants, with 91.18% accuracy, 92.75% sensitivity, and 89.55% specificity using the support vector machine algorithm. The markers used range from known single-nucleotide variants to those not previously described in the literature. Our study shows potential in creating genetic prediction panels with tailored penalties per marker, aiding in the identification of optimal machine learning methods for intricate results., Conclusions: This method is able to classify asthma and nonasthma effectively, proving its potential utility in clinical prediction and diagnosis., Competing Interests: This study was supported by Brazilian funding agencies (FAPESB/CNPq 009/2014, process no. 8305/2014; FAPESB/CNPq-08/2014, process no. 8665/2014; MCTI/CNPq 14/2023 - 442337/2023-0; CAPES/PRINT, process no. 88887.911599/2023-00; and ERC/CONFAP/CNPQ–INT0002/2023, process no. 1125/2023), CNPq 306705/2022. Disclosure of potential conflict of interest: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article., (© 2024 The Authors.)
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- 2024
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26. Building a vertically integrated genomic learning health system: The biobank at the Colorado Center for Personalized Medicine.
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Wiley LK, Shortt JA, Roberts ER, Lowery J, Kudron E, Lin M, Mayer D, Wilson M, Brunetti TM, Chavan S, Phang TL, Pozdeyev N, Lesny J, Wicks SJ, Moore ET, Morgenstern JL, Roff AN, Shalowitz EL, Stewart A, Williams C, Edelmann MN, Hull M, Patton JT, Axell L, Ku L, Lee YM, Jirikowic J, Tanaka A, Todd E, White S, Peterson B, Hearst E, Zane R, Greene CS, Mathias R, Coors M, Taylor M, Ghosh D, Kahn MG, Brooks IM, Aquilante CL, Kao D, Rafaels N, Crooks KR, Hess S, Barnes KC, and Gignoux CR
- Subjects
- Humans, Biological Specimen Banks, Colorado, Genomics, Precision Medicine, Learning Health System
- Abstract
Precision medicine initiatives across the globe have led to a revolution of repositories linking large-scale genomic data with electronic health records, enabling genomic analyses across the entire phenome. Many of these initiatives focus solely on research insights, leading to limited direct benefit to patients. We describe the biobank at the Colorado Center for Personalized Medicine (CCPM Biobank) that was jointly developed by the University of Colorado Anschutz Medical Campus and UCHealth to serve as a unique, dual-purpose research and clinical resource accelerating personalized medicine. This living resource currently has more than 200,000 participants with ongoing recruitment. We highlight the clinical, laboratory, regulatory, and HIPAA-compliant informatics infrastructure along with our stakeholder engagement, consent, recontact, and participant engagement strategies. We characterize aspects of genetic and geographic diversity unique to the Rocky Mountain region, the primary catchment area for CCPM Biobank participants. We leverage linked health and demographic information of the CCPM Biobank participant population to demonstrate the utility of the CCPM Biobank to replicate complex trait associations in the first 33,674 genotyped individuals across multiple disease domains. Finally, we describe our current efforts toward return of clinical genetic test results, including high-impact pathogenic variants and pharmacogenetic information, and our broader goals as the CCPM Biobank continues to grow. Bringing clinical and research interests together fosters unique clinical and translational questions that can be addressed from the large EHR-linked CCPM Biobank resource within a HIPAA- and CLIA-certified environment., Competing Interests: Declaration of interests K.C.B. owns stock in Tempus and Galatea Bio and is an employee of Oxford Nanopore Technologies. C.R.G. owns stock in 23andMe, Inc., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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27. Session Introduction: Overcoming health disparities in precision medicine.
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De La Vega FM, Barnes KC, Fox K, Ioannidis A, Kenny E, Mathias RA, and Pasaniuc B
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- Humans, Machine Learning, Health Inequities, Precision Medicine, Computational Biology
- Abstract
The following sections are included:OverviewDealing with the lack of diversity in current research datasetsDevelopment of fair machine learning algorithmsRace, genetic ancestry, and population structureConclusionAcknowledgments.
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- 2024
28. WHOLE GENOME SEQUENCING ANALYSIS OF BODY MASS INDEX IDENTIFIES NOVEL AFRICAN ANCESTRY-SPECIFIC RISK ALLELE.
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Zhang X, Brody JA, Graff M, Highland HM, Chami N, Xu H, Wang Z, Ferrier K, Chittoor G, Josyula NS, Li X, Li Z, Allison MA, Becker DM, Bielak LF, Bis JC, Boorgula MP, Bowden DW, Broome JG, Buth EJ, Carlson CS, Chang KM, Chavan S, Chiu YF, Chuang LM, Conomos MP, DeMeo DL, Du M, Duggirala R, Eng C, Fohner AE, Freedman BI, Garrett ME, Guo X, Haiman C, Heavner BD, Hidalgo B, Hixson JE, Ho YL, Hobbs BD, Hu D, Hui Q, Hwu CM, Jackson RD, Jain D, Kalyani RR, Kardia SLR, Kelly TN, Lange EM, LeNoir M, Li C, Marchand LL, McDonald MN, McHugh CP, Morrison AC, Naseri T, O'Connell J, O'Donnell CJ, Palmer ND, Pankow JS, Perry JA, Peters U, Preuss MH, Rao DC, Regan EA, Reupena SM, Roden DM, Rodriguez-Santana J, Sitlani CM, Smith JA, Tiwari HK, Vasan RS, Wang Z, Weeks DE, Wessel J, Wiggins KL, Wilkens LR, Wilson PWF, Yanek LR, Yoneda ZT, Zhao W, Zöllner S, Arnett DK, Ashley-Koch AE, Barnes KC, Blangero J, Boerwinkle E, Burchard EG, Carson AP, Chasman DI, Chen YI, Curran JE, Fornage M, Gordeuk VR, He J, Heckbert SR, Hou L, Irvin MR, Kooperberg C, Minster RL, Mitchell BD, Nouraie M, Psaty BM, Raffield LM, Reiner AP, Rich SS, Rotter JI, Shoemaker MB, Smith NL, Taylor KD, Telen MJ, Weiss ST, Zhang Y, Heard-Costa N, Sun YV, Lin X, Adrienne Cupples L, Lange LA, Liu CT, Loos RJF, North KE, and Justice AE
- Abstract
Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals ( P < 5 × 10
-9 ). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in MTMR3 that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the POC5 and DMD loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine., Competing Interests: Disclosures/Competing Interests DLD received grants from Bayer and honoraria from Novartis. BDHo receives grant support from Bayer and has received an honorarium from AstraZeneca for an educational lecture. CJO is employed by Novartis Institute of Biomedical Research, Cambridge MA KCB is an employee of Tempus. BMPs serve on the TOPMed Steering Committee. LMR is a consultant for the TOPMed Administrative Coordinating Center (through Westat). XLin is a consultant of AbbVie Pharmaceuticals and Verily Life Sciences.- Published
- 2023
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29. Phenotypic and Endotypic Determinants of Atopic Dermatitis Severity From the Atopic Dermatitis Research Network (ADRN) Registry.
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Simpson EL, De Benedetto A, Boguniewicz M, Ong PY, Lussier S, Villarreal M, Schneider LC, Paller AS, Guttman-Yassky E, Hanifin JM, Spergel JM, Barnes KC, David G, Austin B, Leung DYM, and Beck LA
- Subjects
- Humans, Respiratory Sounds, Phenotype, Biomarkers, Allergens, Immunoglobulin E, Severity of Illness Index, Dermatitis, Atopic diagnosis, Dermatitis, Atopic epidemiology, Dermatitis, Atopic genetics, Ectropion, Conjunctivitis, Blepharitis
- Abstract
Background: Atopic dermatitis (AD) is a chronic inflammatory skin condition with a highly variable clinical phenotype., Objective: This study aimed to identify historical and clinical features and biomarkers associated with AD severity., Methods: A US registry of extensively phenotyped AD participants (aged 0.73-80 years) were enrolled at 9 academic centers. Information on family and personal medical history, examination, skin swabs (culture), and serum biomarkers was collected to evaluate their association with AD severity., Results: Participants with AD (N = 2862) whose disease was categorized as mild (11.6%), moderate (58.0%), or severe (30.4%) based on Rajka-Langeland scoring were enrolled. The trend test, when adjusting for gender, race, and age, demonstrated that severity was strongly (P ≤ .04) associated with a personal/family history of allergic disorders, history of alopecia, exposure to passive smoke, ocular herpes infection, skin bacterial and viral infections, and history of arrhythmia. Features observed more frequently (P ≤ .002), as a function of severity, included skin infections (impetigo, human papillomavirus, and molluscum contagiosum virus), Staphylococcus aureus colonization, excoriations, hyperlinear palms, ichthyosis, blepharitis, conjunctivitis, ectropion, and wheezing. Serum IgE, allergen and food (≤6 years) Phadiatop, and eosinophilia were strongly linked to severity (P < .001)., Conclusions: In a diverse US AD population, severity was associated with a history of atopic disorders, skin and extracutaneous bacterial and viral infections (by history and physical examination), higher IgE, eosinophilia and allergen sensitization, atopic skin manifestations (ie, excoriation, hyperlinear palms, and ichthyosis), and atopic ocular features (ie, blepharitis, conjunctivitis, and ectropion) as well as asthma findings (ie, wheezing). Data from our prospective registry significantly advance our understanding of AD phenotypes and endotypes, which is critical to achieve optimal management., (Copyright © 2023 American Academy of Allergy, Asthma & Immunology. All rights reserved.)
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- 2023
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30. Xanthine oxidoreductase gene polymorphisms are associated with high risk of sepsis and organ failure.
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Gao L, Rafaels N, Dudenkov TM, Damarla M, Damico R, Maloney JP, Moss M, Martin GS, Sevransky J, Shanholtz C, Herr DL, Garcia JGN, Hernandez-Beeftink T, Villar J, Flores C, Beaty TH, Brower R, Hassoun PM, and Barnes KC
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- Humans, Xanthine Dehydrogenase genetics, Genotype, Polymorphism, Single Nucleotide genetics, Respiratory Distress Syndrome, Sepsis diagnosis, Sepsis genetics, Sepsis complications
- Abstract
Background: Sepsis and associated organ failures confer substantial morbidity and mortality. Xanthine oxidoreductase (XOR) is implicated in the development of tissue oxidative damage in a wide variety of respiratory and cardiovascular disorders including sepsis and sepsis-associated acute respiratory distress syndrome (ARDS). We examined whether single nucleotide polymorphisms (SNPs) in the XDH gene (encoding XOR) might influence susceptibility to and outcome in patients with sepsis., Methods: We genotyped 28 tag SNPs in XDH gene in the CELEG cohort, including 621 European American (EA) and 353 African American (AA) sepsis patients. Serum XOR activity was measured in a subset of CELEG subjects. Additionally, we assessed the functional effects of XDH variants utilizing empirical data from different integrated software tools and datasets., Results: Among AA patients, six intronic variants (rs206805, rs513311, rs185925, rs561525, rs2163059, rs13387204), in a region enriched with regulatory elements, were associated with risk of sepsis (P < 0.008-0.049). Two out of six SNPs (rs561525 and rs2163059) were associated with risk of sepsis-associated ARDS in an independent validation cohort (GEN-SEP) of 590 sepsis patients of European descent. Two common SNPs (rs1884725 and rs4952085) in tight linkage disequilibrium (LD) provided strong evidence for association with increased levels of serum creatinine (P
adjusted <0.0005 and 0.0006, respectively), suggesting a role in increased risk of renal dysfunction. In contrast, among EA ARDS patients, the missense variant rs17011368 (I703V) was associated with enhanced mortality at 60-days (P < 0.038). We found higher serum XOR activity in 143 sepsis patients (54.5 ± 57.1 mU/mL) compared to 31 controls (20.9 ± 12.4 mU/mL, P = 1.96 × 10- 13 ). XOR activity was associated with the lead variant rs185925 among AA sepsis patients with ARDS (P < 0.005 and Padjusted <0.01). Multifaceted functions of prioritized XDH variants, as suggested by various functional annotation tools, support their potential causality in sepsis., Conclusions: Our findings suggest that XOR is a novel combined genetic and biochemical marker for risk and outcome in patients with sepsis and ARDS., (© 2023. The Author(s).)- Published
- 2023
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31. A functional genomics pipeline to identify high-value asthma and allergy CpGs in the human methylome.
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Morin A, Thompson EE, Helling BA, Shorey-Kendrick LE, Faber P, Gebretsadik T, Bacharier LB, Kattan M, O'Connor GT, Rivera-Spoljaric K, Wood RA, Barnes KC, Mathias RA, Altman MC, Hansen K, McEvoy CT, Spindel ER, Hartert T, Jackson DJ, Gern JE, McKennan CG, and Ober C
- Subjects
- Child, Humans, Epigenome, Epigenesis, Genetic, Genome-Wide Association Study, DNA Methylation, Genomics, DNA, CpG Islands, Hypersensitivity genetics, Asthma genetics
- Abstract
Background: DNA methylation of cytosines at cytosine-phosphate-guanine (CpG) dinucleotides (CpGs) is a widespread epigenetic mark, but genome-wide variation has been relatively unexplored due to the limited representation of variable CpGs on commercial high-throughput arrays., Objectives: To explore this hidden portion of the epigenome, this study combined whole-genome bisulfite sequencing with in silico evidence of gene regulatory regions to design a custom array of high-value CpGs. This study focused on airway epithelial cells from children with and without allergic asthma because these cells mediate the effects of inhaled microbes, pollution, and allergens on asthma and allergic disease risk., Methods: This study identified differentially methylated regions from whole-genome bisulfite sequencing in nasal epithelial cell DNA from a total of 39 children with and without allergic asthma of both European and African ancestries. This study selected CpGs from differentially methylated regions, previous allergy or asthma epigenome-wide association studies (EWAS), or genome-wide association study loci, and overlapped them with functional annotations for inclusion on a custom Asthma&Allergy array. This study used both the custom and EPIC arrays to perform EWAS of allergic sensitization (AS) in nasal epithelial cell DNA from children in the URECA (Urban Environment and Childhood Asthma) birth cohort and using the custom array in the INSPIRE [Infant Susceptibility to Pulmonary Infections and Asthma Following RSV Exposure] birth cohort. Each CpG on the arrays was assigned to its nearest gene and its promotor capture Hi-C interacting gene and performed expression quantitative trait methylation (eQTM) studies for both sets of genes., Results: Custom array CpGs were enriched for intermediate methylation levels compared to EPIC CpGs. Intermediate methylation CpGs were further enriched among those associated with AS and for eQTMs on both arrays., Conclusions: This study revealed signature features of high-value CpGs and evidence for epigenetic regulation of genes at AS EWAS loci that are robust to race/ethnicity, ascertainment, age, and geography., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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32. The IL-4Rα Q576R polymorphism is associated with increased severity of atopic dermatitis and exaggerates allergic skin inflammation in mice.
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Yang B, Wilkie H, Das M, Timilshina M, Bainter W, Woods B, Daya M, Boorgula MP, Mathias RA, Lai P, Petty CR, Weller E, Harb H, Chatila TA, Leung DYM, Beck LA, Simpson EL, Hata TR, Barnes KC, Phipatanakul W, Leyva-Castillo JM, and Geha RS
- Subjects
- Mice, Animals, Interleukin-13 genetics, Interleukin-13 metabolism, Interleukin-4 genetics, Interleukin-4 metabolism, Th2 Cells, Skin metabolism, Cytokines metabolism, Inflammation metabolism, Pruritus metabolism, Dermatitis, Atopic, Eczema metabolism
- Abstract
Background: Atopic dermatitis (AD) is characterized by T
H 2-dominated skin inflammation and systemic response to cutaneously encountered antigens. The TH 2 cytokines IL-4 and IL-13 play a critical role in the pathogenesis of AD. The Q576->R576 polymorphism in the IL-4 receptor alpha (IL-4Rα) chain common to IL-4 and IL-13 receptors alters IL-4 signaling and is associated with asthma severity., Objective: We sought to investigate whether the IL-4Rα R576 polymorphism is associated with AD severity and exaggerates allergic skin inflammation in mice., Methods: Nighttime itching interfering with sleep, Rajka-Langeland, and Eczema Area and Severity Index scores were used to assess AD severity. Allergic skin inflammation following epicutaneous sensitization of mice 1 or 2 IL-4Rα R576 alleles (QR and RR) and IL-4Rα Q576 (QQ) controls was assessed by flow cytometric analysis of cells and quantitative RT-PCR analysis of cytokines in skin., Results: The frequency of nighttime itching in 190 asthmatic inner-city children with AD, as well as Rajka-Langeland and Eczema Area and Severity Index scores in 1116 White patients with AD enrolled in the Atopic Dermatitis Research Network, was higher in subjects with the IL-4Rα R576 polymorphism compared with those without, with statistical significance for the Rajka-Langeland score. Following epicutaneous sensitization of mice with ovalbumin or house dust mite, skin infiltration by CD4+ cells and eosinophils, cutaneous expression of Il4 and Il13, transepidermal water loss, antigen-specific IgE antibody levels, and IL-13 secretion by antigen-stimulated splenocytes were significantly higher in RR and QR mice compared with QQ controls. Bone marrow radiation chimeras demonstrated that both hematopoietic cells and stromal cells contribute to the mutants' exaggerated allergic skin inflammation., Conclusions: The IL-4Rα R576 polymorphism predisposes to more severe AD and increases allergic skin inflammation in mice., (Copyright © 2023 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)- Published
- 2023
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33. The genetic determinants of recurrent somatic mutations in 43,693 blood genomes.
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Weinstock JS, Laurie CA, Broome JG, Taylor KD, Guo X, Shuldiner AR, O'Connell JR, Lewis JP, Boerwinkle E, Barnes KC, Chami N, Kenny EE, Loos RJF, Fornage M, Redline S, Cade BE, Gilliland FD, Chen Z, Gauderman WJ, Kumar R, Grammer L, Schleimer RP, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Qiao D, Weiss ST, Lasky-Su J, DeMeo DL, Palmer ND, Freedman BI, Bowden DW, Cho MH, Vasan RS, Johnson AD, Yanek LR, Becker LC, Kardia S, He J, Kaplan R, Heckbert SR, Smith NL, Wiggins KL, Arnett DK, Irvin MR, Tiwari H, Correa A, Raffield LM, Gao Y, de Andrade M, Rotter JI, Rich SS, Manichaikul AW, Konkle BA, Johnsen JM, Wheeler MM, Custer BS, Duggirala R, Curran JE, Blangero J, Gui H, Xiao S, Williams LK, Meyers DA, Li X, Ortega V, McGarvey S, Gu CC, Chen YI, Lee WJ, Shoemaker MB, Darbar D, Roden D, Albert C, Kooperberg C, Desai P, Blackwell TW, Abecasis GR, Smith AV, Kang HM, Mathias R, Natarajan P, Jaiswal S, Reiner AP, and Bick AG
- Subjects
- Humans, Middle Aged, Mutation, Mutation, Missense, Phenotype, Hematopoiesis, Germ-Line Mutation
- Abstract
Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.
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- 2023
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34. Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis.
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Weinstock JS, Gopakumar J, Burugula BB, Uddin MM, Jahn N, Belk JA, Bouzid H, Daniel B, Miao Z, Ly N, Mack TM, Luna SE, Prothro KP, Mitchell SR, Laurie CA, Broome JG, Taylor KD, Guo X, Sinner MF, von Falkenhausen AS, Kääb S, Shuldiner AR, O'Connell JR, Lewis JP, Boerwinkle E, Barnes KC, Chami N, Kenny EE, Loos RJF, Fornage M, Hou L, Lloyd-Jones DM, Redline S, Cade BE, Psaty BM, Bis JC, Brody JA, Silverman EK, Yun JH, Qiao D, Palmer ND, Freedman BI, Bowden DW, Cho MH, DeMeo DL, Vasan RS, Yanek LR, Becker LC, Kardia SLR, Peyser PA, He J, Rienstra M, Van der Harst P, Kaplan R, Heckbert SR, Smith NL, Wiggins KL, Arnett DK, Irvin MR, Tiwari H, Cutler MJ, Knight S, Muhlestein JB, Correa A, Raffield LM, Gao Y, de Andrade M, Rotter JI, Rich SS, Tracy RP, Konkle BA, Johnsen JM, Wheeler MM, Smith JG, Melander O, Nilsson PM, Custer BS, Duggirala R, Curran JE, Blangero J, McGarvey S, Williams LK, Xiao S, Yang M, Gu CC, Chen YI, Lee WJ, Marcus GM, Kane JP, Pullinger CR, Shoemaker MB, Darbar D, Roden DM, Albert C, Kooperberg C, Zhou Y, Manson JE, Desai P, Johnson AD, Mathias RA, Blackwell TW, Abecasis GR, Smith AV, Kang HM, Satpathy AT, Natarajan P, Kitzman JO, Whitsel EA, Reiner AP, Bick AG, and Jaiswal S
- Subjects
- Animals, Humans, Mice, Alleles, Genome-Wide Association Study, Hematopoiesis genetics, Mutation, Promoter Regions, Genetic, Clonal Hematopoiesis genetics, Hematopoietic Stem Cells cytology, Hematopoietic Stem Cells metabolism
- Abstract
Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis
1 . These lesions are precursors for blood cancers2-6 , but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but this effect was not seen in clones with driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation., (© 2023. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2023
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35. Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing.
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Chen F, Wang X, Jang SK, Quach BC, Weissenkampen JD, Khunsriraksakul C, Yang L, Sauteraud R, Albert CM, Allred NDD, Arnett DK, Ashley-Koch AE, Barnes KC, Barr RG, Becker DM, Bielak LF, Bis JC, Blangero J, Boorgula MP, Chasman DI, Chavan S, Chen YI, Chuang LM, Correa A, Curran JE, David SP, Fuentes LL, Deka R, Duggirala R, Faul JD, Garrett ME, Gharib SA, Guo X, Hall ME, Hawley NL, He J, Hobbs BD, Hokanson JE, Hsiung CA, Hwang SJ, Hyde TM, Irvin MR, Jaffe AE, Johnson EO, Kaplan R, Kardia SLR, Kaufman JD, Kelly TN, Kleinman JE, Kooperberg C, Lee IT, Levy D, Lutz SM, Manichaikul AW, Martin LW, Marx O, McGarvey ST, Minster RL, Moll M, Moussa KA, Naseri T, North KE, Oelsner EC, Peralta JM, Peyser PA, Psaty BM, Rafaels N, Raffield LM, Reupena MS, Rich SS, Rotter JI, Schwartz DA, Shadyab AH, Sheu WH, Sims M, Smith JA, Sun X, Taylor KD, Telen MJ, Watson H, Weeks DE, Weir DR, Yanek LR, Young KA, Young KL, Zhao W, Hancock DB, Jiang B, Vrieze S, and Liu DJ
- Subjects
- Humans, Genome-Wide Association Study methods, Tobacco Use, Biology, Polymorphism, Single Nucleotide genetics, Genetic Predisposition to Disease, Transcriptome genetics, Drug Repositioning
- Abstract
Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction., (© 2023. The Author(s).)
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- 2023
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36. Session Introduction: Overcoming health disparities in precision medicine.
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Barnes KC, De La Vega FM, Bustamante CD, Gignoux CR, Kenny E, Mathias RA, and Pasaniuc B
- Subjects
- Humans, Computational Biology, Precision Medicine
- Abstract
The following sections are included: Overview, Equitable risk prediction, Pharmacoequity, Race, genetic ancestry, and population structure, Conclusion, Acknowledgments, References.
- Published
- 2023
37. Genetic diversity fuels gene discovery for tobacco and alcohol use.
- Author
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Saunders GRB, Wang X, Chen F, Jang SK, Liu M, Wang C, Gao S, Jiang Y, Khunsriraksakul C, Otto JM, Addison C, Akiyama M, Albert CM, Aliev F, Alonso A, Arnett DK, Ashley-Koch AE, Ashrani AA, Barnes KC, Barr RG, Bartz TM, Becker DM, Bielak LF, Benjamin EJ, Bis JC, Bjornsdottir G, Blangero J, Bleecker ER, Boardman JD, Boerwinkle E, Boomsma DI, Boorgula MP, Bowden DW, Brody JA, Cade BE, Chasman DI, Chavan S, Chen YI, Chen Z, Cheng I, Cho MH, Choquet H, Cole JW, Cornelis MC, Cucca F, Curran JE, de Andrade M, Dick DM, Docherty AR, Duggirala R, Eaton CB, Ehringer MA, Esko T, Faul JD, Fernandes Silva L, Fiorillo E, Fornage M, Freedman BI, Gabrielsen ME, Garrett ME, Gharib SA, Gieger C, Gillespie N, Glahn DC, Gordon SD, Gu CC, Gu D, Gudbjartsson DF, Guo X, Haessler J, Hall ME, Haller T, Harris KM, He J, Herd P, Hewitt JK, Hickie I, Hidalgo B, Hokanson JE, Hopfer C, Hottenga J, Hou L, Huang H, Hung YJ, Hunter DJ, Hveem K, Hwang SJ, Hwu CM, Iacono W, Irvin MR, Jee YH, Johnson EO, Joo YY, Jorgenson E, Justice AE, Kamatani Y, Kaplan RC, Kaprio J, Kardia SLR, Keller MC, Kelly TN, Kooperberg C, Korhonen T, Kraft P, Krauter K, Kuusisto J, Laakso M, Lasky-Su J, Lee WJ, Lee JJ, Levy D, Li L, Li K, Li Y, Lin K, Lind PA, Liu C, Lloyd-Jones DM, Lutz SM, Ma J, Mägi R, Manichaikul A, Martin NG, Mathur R, Matoba N, McArdle PF, McGue M, McQueen MB, Medland SE, Metspalu A, Meyers DA, Millwood IY, Mitchell BD, Mohlke KL, Moll M, Montasser ME, Morrison AC, Mulas A, Nielsen JB, North KE, Oelsner EC, Okada Y, Orrù V, Palmer ND, Palviainen T, Pandit A, Park SL, Peters U, Peters A, Peyser PA, Polderman TJC, Rafaels N, Redline S, Reed RM, Reiner AP, Rice JP, Rich SS, Richmond NE, Roan C, Rotter JI, Rueschman MN, Runarsdottir V, Saccone NL, Schwartz DA, Shadyab AH, Shi J, Shringarpure SS, Sicinski K, Skogholt AH, Smith JA, Smith NL, Sotoodehnia N, Stallings MC, Stefansson H, Stefansson K, Stitzel JA, Sun X, Syed M, Tal-Singer R, Taylor AE, Taylor KD, Telen MJ, Thai KK, Tiwari H, Turman C, Tyrfingsson T, Wall TL, Walters RG, Weir DR, Weiss ST, White WB, Whitfield JB, Wiggins KL, Willemsen G, Willer CJ, Winsvold BS, Xu H, Yanek LR, Yin J, Young KL, Young KA, Yu B, Zhao W, Zhou W, Zöllner S, Zuccolo L, Batini C, Bergen AW, Bierut LJ, David SP, Gagliano Taliun SA, Hancock DB, Jiang B, Munafò MR, Thorgeirsson TE, Liu DJ, and Vrieze S
- Subjects
- Humans, Genome-Wide Association Study methods, Risk Factors, Transcriptome, Sample Size, Genetic Loci genetics, Europe ethnology, Genetic Predisposition to Disease genetics, Genetic Variation genetics, Multifactorial Inheritance genetics, Tobacco Use genetics, Alcohol Drinking genetics, Internationality
- Abstract
Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury
1-4 . These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5 . Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction., (© 2022. The Author(s).)- Published
- 2022
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38. Rare genetic variants explain missing heritability in smoking.
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Jang SK, Evans L, Fialkowski A, Arnett DK, Ashley-Koch AE, Barnes KC, Becker DM, Bis JC, Blangero J, Bleecker ER, Boorgula MP, Bowden DW, Brody JA, Cade BE, Jenkins BWC, Carson AP, Chavan S, Cupples LA, Custer B, Damrauer SM, David SP, de Andrade M, Dinardo CL, Fingerlin TE, Fornage M, Freedman BI, Garrett ME, Gharib SA, Glahn DC, Haessler J, Heckbert SR, Hokanson JE, Hou L, Hwang SJ, Hyman MC, Judy R, Justice AE, Kaplan RC, Kardia SLR, Kelly S, Kim W, Kooperberg C, Levy D, Lloyd-Jones DM, Loos RJF, Manichaikul AW, Gladwin MT, Martin LW, Nouraie M, Melander O, Meyers DA, Montgomery CG, North KE, Oelsner EC, Palmer ND, Payton M, Peljto AL, Peyser PA, Preuss M, Psaty BM, Qiao D, Rader DJ, Rafaels N, Redline S, Reed RM, Reiner AP, Rich SS, Rotter JI, Schwartz DA, Shadyab AH, Silverman EK, Smith NL, Smith JG, Smith AV, Smith JA, Tang W, Taylor KD, Telen MJ, Vasan RS, Gordeuk VR, Wang Z, Wiggins KL, Yanek LR, Yang IV, Young KA, Young KL, Zhang Y, Liu DJ, Keller MC, and Vrieze S
- Subjects
- Gene Frequency, Phenotype, Smoking genetics, Genome-Wide Association Study, Polymorphism, Single Nucleotide genetics
- Abstract
Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking., (© 2022. The Author(s), under exclusive licence to Springer Nature Limited.)
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- 2022
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39. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease.
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Zhou W, Kanai M, Wu KH, Rasheed H, Tsuo K, Hirbo JB, Wang Y, Bhattacharya A, Zhao H, Namba S, Surakka I, Wolford BN, Lo Faro V, Lopera-Maya EA, Läll K, Favé MJ, Partanen JJ, Chapman SB, Karjalainen J, Kurki M, Maasha M, Brumpton BM, Chavan S, Chen TT, Daya M, Ding Y, Feng YA, Guare LA, Gignoux CR, Graham SE, Hornsby WE, Ingold N, Ismail SI, Johnson R, Laisk T, Lin K, Lv J, Millwood IY, Moreno-Grau S, Nam K, Palta P, Pandit A, Preuss MH, Saad C, Setia-Verma S, Thorsteinsdottir U, Uzunovic J, Verma A, Zawistowski M, Zhong X, Afifi N, Al-Dabhani KM, Al Thani A, Bradford Y, Campbell A, Crooks K, de Bock GH, Damrauer SM, Douville NJ, Finer S, Fritsche LG, Fthenou E, Gonzalez-Arroyo G, Griffiths CJ, Guo Y, Hunt KA, Ioannidis A, Jansonius NM, Konuma T, Lee MTM, Lopez-Pineda A, Matsuda Y, Marioni RE, Moatamed B, Nava-Aguilar MA, Numakura K, Patil S, Rafaels N, Richmond A, Rojas-Muñoz A, Shortt JA, Straub P, Tao R, Vanderwerff B, Vernekar M, Veturi Y, Barnes KC, Boezen M, Chen Z, Chen CY, Cho J, Smith GD, Finucane HK, Franke L, Gamazon ER, Ganna A, Gaunt TR, Ge T, Huang H, Huffman J, Katsanis N, Koskela JT, Lajonchere C, Law MH, Li L, Lindgren CM, Loos RJF, MacGregor S, Matsuda K, Olsen CM, Porteous DJ, Shavit JA, Snieder H, Takano T, Trembath RC, Vonk JM, Whiteman DC, Wicks SJ, Wijmenga C, Wright J, Zheng J, Zhou X, Awadalla P, Boehnke M, Bustamante CD, Cox NJ, Fatumo S, Geschwind DH, Hayward C, Hveem K, Kenny EE, Lee S, Lin YF, Mbarek H, Mägi R, Martin HC, Medland SE, Okada Y, Palotie AV, Pasaniuc B, Rader DJ, Ritchie MD, Sanna S, Smoller JW, Stefansson K, van Heel DA, Walters RG, Zöllner S, Martin AR, Willer CJ, Daly MJ, and Neale BM
- Abstract
Biobanks facilitate genome-wide association studies (GWASs), which have mapped genomic loci across a range of human diseases and traits. However, most biobanks are primarily composed of individuals of European ancestry. We introduce the Global Biobank Meta-analysis Initiative (GBMI)-a collaborative network of 23 biobanks from 4 continents representing more than 2.2 million consented individuals with genetic data linked to electronic health records. GBMI meta-analyzes summary statistics from GWASs generated using harmonized genotypes and phenotypes from member biobanks for 14 exemplar diseases and endpoints. This strategy validates that GWASs conducted in diverse biobanks can be integrated despite heterogeneity in case definitions, recruitment strategies, and baseline characteristics. This collaborative effort improves GWAS power for diseases, benefits understudied diseases, and improves risk prediction while also enabling the nomination of disease genes and drug candidates by incorporating gene and protein expression data and providing insight into the underlying biology of human diseases and traits., Competing Interests: M.J.D. is a founder of Maze Therapeutics. B.M.N. is a member of the scientific advisory board at Deep Genomics and a consultant for Camp4 Therapeutics, Takeda Pharmaceutical, and Biogen. The spouse of C.J.W. works at Regeneron Pharmaceuticals. C.-Y.C. is employed by Biogen. C.R.G. owns stock in 23andMe, Inc. T.R.G. has received research funding from various pharmaceutical companies to support the application of Mendelian randomization to drug target prioritization. E.E.K. has received speaker fees from Regeneron, Illumina, and 23andMe and is a member of the advisory board for Galateo Bio. R.E.M. has received speaker fees from Illumina and is a scientific advisor to the Epigenetic Clock Development Foundation. G.D.S. has received research funding from various pharmaceutical companies to support the application of Mendelian randomization to drug target prioritization. K.S. and U.T. are employed by deCODE Genetics/Amgen, Inc. J.Z. has received research funding from various pharmaceutical companies to support the application of Mendelian randomization to drug target prioritization. S.M. is a co-founder of and holds stock in Seonix Bio., (© 2022.)
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- 2022
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40. Lipid mediators are detectable in the nasal epithelium and differ by asthma status in female subjects.
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Johnson RK, Manke J, Campbell M, Armstrong M, Boorgula MP, Pinheiro G, Santana CVN, Mathias RA, Barnes KC, Cruz A, Reisdorph N, and Figueiredo CA
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- Eicosanoids, Female, Humans, Nasal Mucosa, Pilot Projects, Asthma, Dinoprostone
- Abstract
Background: Lipid mediators, bioactive products of polyunsaturated fatty acid metabolism, contribute to inflammation initiation and resolution in allergic diseases; however, their presence in lung-related biosamples has not been fully described., Objective: We aimed to quantify lipid mediators in the nasal airway epithelium and characterize preliminary associations with asthma., Methods: Using liquid chromatography-mass spectrometry, we conducted a pilot study to quantify 56 lipid mediators from nasal epithelial samples collected from 11 female participants of an outpatient asthma clinic and community controls (aged 30-55 years). We examined the presence of each compound using descriptive statistics to test whether lipid mediators could distinguish subjects with asthma (n = 8) from control subjects (n = 3) using linear regression and partial least squares discriminant analysis., Results: Fifteen lipid mediators were detectable in all samples, including resolvin (Rv) D5 (RvD5), with the highest median concentrations (in pg/μg protein) of 13-HODE (126.481), 15-HETE (32.869), and 13-OxoODE (13.251). From linear regression adjusted for age, prostaglandin E
2 (PGE2) had a trend (P < .1) for higher concentrations in patients with severe asthma compared to controls (mean difference, 0.95; 95% confidence interval, -0.04 to 1.95). Asthma patients had higher scores on principal component 3 compared to controls (mean difference, 2.42; 95% confidence interval, 0.89 to 3.96), which represented lower levels of proresolving 15-HEPE, 19,20-DiHDPA, RvD5, 14-HDHA, 17-HDHA, and 13-HOTrE. Most of these compounds were best at discriminating asthma cases from controls in partial least squares discriminant analysis., Conclusion: Lipid mediators are detectable in the nasal epithelium, and their levels distinguish asthma cases from controls., (Copyright © 2022 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)- Published
- 2022
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41. African-specific alleles modify risk for asthma at the 17q12-q21 locus in African Americans.
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Washington C 3rd, Dapas M, Biddanda A, Magnaye KM, Aneas I, Helling BA, Szczesny B, Boorgula MP, Taub MA, Kenny E, Mathias RA, Barnes KC, Khurana Hershey GK, Kercsmar CM, Gereige JD, Makhija M, Gruchalla RS, Gill MA, Liu AH, Rastogi D, Busse W, Gergen PJ, Visness CM, Gold DR, Hartert T, Johnson CC, Lemanske RF Jr, Martinez FD, Miller RL, Ownby D, Seroogy CM, Wright AL, Zoratti EM, Bacharier LB, Kattan M, O'Connor GT, Wood RA, Nobrega MA, Altman MC, Jackson DJ, Gern JE, McKennan CG, and Ober C
- Subjects
- Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neoplasm Proteins genetics, Polymorphism, Single Nucleotide, Pore Forming Cytotoxic Proteins, Black or African American genetics, Asthma genetics, Asthma metabolism
- Abstract
Background: Asthma is the most common chronic disease in children, occurring at higher frequencies and with more severe disease in children with African ancestry., Methods: We tested for association with haplotypes at the most replicated and significant childhood-onset asthma locus at 17q12-q21 and asthma in European American and African American children. Following this, we used whole-genome sequencing data from 1060 African American and 100 European American individuals to identify novel variants on a high-risk African American-specific haplotype. We characterized these variants in silico using gene expression and ATAC-seq data from airway epithelial cells, functional annotations from ENCODE, and promoter capture (pc)Hi-C maps in airway epithelial cells. Candidate causal variants were then assessed for correlation with asthma-associated phenotypes in African American children and adults., Results: Our studies revealed nine novel African-specific common variants, enriched on a high-risk asthma haplotype, which regulated the expression of GSDMA in airway epithelial cells and were associated with features of severe asthma. Using ENCODE annotations, ATAC-seq, and pcHi-C, we narrowed the associations to two candidate causal variants that are associated with features of T2 low severe asthma., Conclusions: Previously unknown genetic variation at the 17q12-21 childhood-onset asthma locus contributes to asthma severity in individuals with African ancestries. We suggest that many other population-specific variants that have not been discovered in GWAS contribute to the genetic risk for asthma and other common diseases., (© 2022. The Author(s).)
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- 2022
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42. Epigenetics may characterize asymptomatic COVID-19 infection.
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Arnold CG, Konigsberg I, Adams JY, Sharma S, Aggarwal N, Hopkinson A, Vest A, Campbell M, Boorgula M, Yang I, Gignoux C, Barnes KC, and Monte AA
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- Epigenesis, Genetic, Epigenomics, Humans, SARS-CoV-2 genetics, COVID-19 genetics
- Abstract
RT-PCR is the foremost clinical test for diagnosis of COVID-19. Unfortunately, PCR-based testing has limitations and may not result in a positive test early in the course of infection before symptoms develop. Enveloped RNA viruses, such as coronaviruses, alter peripheral blood methylation and DNA methylation signatures may characterize asymptomatic versus symptomatic infection. We used Illumina's Infinium MethylationEPIC BeadChip array to profile peripheral blood samples from 164 patients who tested positive for SARS-CoV-2 by RT-PCR, of whom 8 had no symptoms. Epigenome-wide association analysis identified 10 methylation sites associated with infection and a quantile-quantile plot showed little inflation. These preliminary results suggest that differences in methylation patterns may distinguish asymptomatic from symptomatic infection., (© 2022. The Author(s).)
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- 2022
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43. COVID-19 Surveillance in the Biobank at the Colorado Center for Personalized Medicine: Observational Study.
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Johnson RK, Marker KM, Mayer D, Shortt J, Kao D, Barnes KC, Lowery JT, and Gignoux CR
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- Aged, Biological Specimen Banks, Colorado epidemiology, Cross-Sectional Studies, Female, Humans, Pandemics, Precision Medicine, Young Adult, COVID-19 epidemiology
- Abstract
Background: Characterizing the experience and impact of the COVID-19 pandemic among various populations remains challenging due to the limitations inherent in common data sources, such as electronic health records (EHRs) or cross-sectional surveys., Objective: This study aims to describe testing behaviors, symptoms, impact, vaccination status, and case ascertainment during the COVID-19 pandemic using integrated data sources., Methods: In summer 2020 and 2021, we surveyed participants enrolled in the Biobank at the Colorado Center for Personalized Medicine (CCPM; N=180,599) about their experience with COVID-19. The prevalence of testing, symptoms, and impacts of COVID-19 on employment, family life, and physical and mental health were calculated overall and by demographic categories. Survey respondents who reported receiving a positive COVID-19 test result were considered a "confirmed case" of COVID-19. Using EHRs, we compared COVID-19 case ascertainment and characteristics in EHRs versus the survey. Positive cases were identified in EHRs using the International Statistical Classification of Diseases, 10th revision (ICD-10) diagnosis codes, health care encounter types, and encounter primary diagnoses., Results: Of the 25,063 (13.9%) survey respondents, 10,661 (42.5%) had been tested for COVID-19, and of those, 1366 (12.8%) tested positive. Nearly half of those tested had symptoms or had been exposed to someone who was infected. Young adults (18-29 years) and Hispanics were more likely to have positive tests compared to older adults and persons of other racial/ethnic groups. Mental health (n=13,688, 54.6%) and family life (n=12,233, 48.8%) were most negatively affected by the pandemic and more so among younger groups and women; negative impacts on employment were more commonly reported among Black respondents. Of the 10,249 individuals who responded to vaccination questions from version 2 of the survey (summer 2021), 9770 (95.3%) had received the vaccine. After integration with EHR data up to the time of the survey completion, 1006 (4%) of the survey respondents had a discordant COVID-19 case status between EHRs and the survey. Using all longitudinal EHR and survey data, we identified 11,472 (6.4%) COVID-19-positive cases among Biobank participants. In comparison to COVID-19 cases identified through the survey, EHR-identified cases were younger and more likely to be Hispanic., Conclusions: We found that the COVID-19 pandemic has had far-reaching and varying effects among our Biobank participants. Integrated data assets, such as the Biobank at the CCPM, are key resources for population health monitoring in response to public health emergencies, such as the COVID-19 pandemic., (©Randi K Johnson, Katie M Marker, David Mayer, Jonathan Shortt, David Kao, Kathleen C Barnes, Jan T Lowery, Christopher R Gignoux. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 13.06.2022.)
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- 2022
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44. Discovering metabolite quantitative trait loci in asthma using an isolated population.
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Johnson RK, Brunetti T, Quinn K, Doenges K, Campbell M, Arehart C, Taub MA, Mathias RA, Reisdorph N, Barnes KC, and Daya M
- Subjects
- Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Asthma genetics, Quantitative Trait Loci
- Abstract
Background: Integration of metabolomics with genetics may advance understanding of disease pathogenesis but has been underused in asthma genetic studies., Objective: We sought to discover new genetic effects in asthma and to characterize the molecular consequences of asthma genetic risk through integration with the metabolome in a homogeneous population., Methods: From fasting serum samples collected on 348 Tangier Island residents, we quantified 2612 compounds using untargeted metabolomics. Genotyping was performed using Illumina's MEGA array imputed to the TOPMed reference panel. To prioritize metabolites for genome-wide association analysis, we performed a metabolome-wide association study with asthma, selecting asthma-associated metabolites with heritability q value less than 0.01 for genome-wide association analysis. We also tested the association between all metabolites and 8451 candidate asthma single nucleotide polymorphisms previously associated with asthma in the UK Biobank. We followed up significant associations by characterizing shared genetic signal for metabolites and asthma using colocalization analysis. For detailed Methods, please see this article's Online Repository at www.jacionline.org., Results: A total of 60 metabolites were associated with asthma (P < .01), including 40 heritable metabolites tested in genome-wide association analysis. We observed a strong association peak for the endocannabinoid linoleoyl ethanolamide on chromosome 6 in VNN1 (P < 2.7 × 10
-9 ). We found strong evidence (colocalization posterior probability >75%) for a shared causal variant between 3 metabolites and asthma, including the polyamine acisoga and variants in LPP, and derivative leukotriene B4 and intergenic variants in chr10p14., Conclusions: We identified novel metabolite quantitative trait loci with asthma associations. Identification and characterization of these genetically driven metabolites may provide insight into the functional consequences of genetic risk factors for asthma., (Copyright © 2021 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)- Published
- 2022
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45. Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential.
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Nakao T, Bick AG, Taub MA, Zekavat SM, Uddin MM, Niroula A, Carty CL, Lane J, Honigberg MC, Weinstock JS, Pampana A, Gibson CJ, Griffin GK, Clarke SL, Bhattacharya R, Assimes TL, Emery LS, Stilp AM, Wong Q, Broome J, Laurie CA, Khan AT, Smith AV, Blackwell TW, Codd V, Nelson CP, Yoneda ZT, Peralta JM, Bowden DW, Irvin MR, Boorgula M, Zhao W, Yanek LR, Wiggins KL, Hixson JE, Gu CC, Peloso GM, Roden DM, Reupena MS, Hwu CM, DeMeo DL, North KE, Kelly S, Musani SK, Bis JC, Lloyd-Jones DM, Johnsen JM, Preuss M, Tracy RP, Peyser PA, Qiao D, Desai P, Curran JE, Freedman BI, Tiwari HK, Chavan S, Smith JA, Smith NL, Kelly TN, Hidalgo B, Cupples LA, Weeks DE, Hawley NL, Minster RL, Deka R, Naseri TT, de Las Fuentes L, Raffield LM, Morrison AC, Vries PS, Ballantyne CM, Kenny EE, Rich SS, Whitsel EA, Cho MH, Shoemaker MB, Pace BS, Blangero J, Palmer ND, Mitchell BD, Shuldiner AR, Barnes KC, Redline S, Kardia SLR, Abecasis GR, Becker LC, Heckbert SR, He J, Post W, Arnett DK, Vasan RS, Darbar D, Weiss ST, McGarvey ST, de Andrade M, Chen YI, Kaplan RC, Meyers DA, Custer BS, Correa A, Psaty BM, Fornage M, Manson JE, Boerwinkle E, Konkle BA, Loos RJF, Rotter JI, Silverman EK, Kooperberg C, Danesh J, Samani NJ, Jaiswal S, Libby P, Ellinor PT, Pankratz N, Ebert BL, Reiner AP, Mathias RA, Do R, and Natarajan P
- Abstract
Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program ( n = 63,302) and UK Biobank ( n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.
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- 2022
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46. Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed.
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Taub MA, Conomos MP, Keener R, Iyer KR, Weinstock JS, Yanek LR, Lane J, Miller-Fleming TW, Brody JA, Raffield LM, McHugh CP, Jain D, Gogarten SM, Laurie CA, Keramati A, Arvanitis M, Smith AV, Heavner B, Barwick L, Becker LC, Bis JC, Blangero J, Bleecker ER, Burchard EG, Celedón JC, Chang YPC, Custer B, Darbar D, de Las Fuentes L, DeMeo DL, Freedman BI, Garrett ME, Gladwin MT, Heckbert SR, Hidalgo BA, Irvin MR, Islam T, Johnson WC, Kaab S, Launer L, Lee J, Liu S, Moscati A, North KE, Peyser PA, Rafaels N, Seidman C, Weeks DE, Wen F, Wheeler MM, Williams LK, Yang IV, Zhao W, Aslibekyan S, Auer PL, Bowden DW, Cade BE, Chen Z, Cho MH, Cupples LA, Curran JE, Daya M, Deka R, Eng C, Fingerlin TE, Guo X, Hou L, Hwang SJ, Johnsen JM, Kenny EE, Levin AM, Liu C, Minster RL, Naseri T, Nouraie M, Reupena MS, Sabino EC, Smith JA, Smith NL, Su JL, Taylor JG, Telen MJ, Tiwari HK, Tracy RP, White MJ, Zhang Y, Wiggins KL, Weiss ST, Vasan RS, Taylor KD, Sinner MF, Silverman EK, Shoemaker MB, Sheu WH, Sciurba F, Schwartz DA, Rotter JI, Roden D, Redline S, Raby BA, Psaty BM, Peralta JM, Palmer ND, Nekhai S, Montgomery CG, Mitchell BD, Meyers DA, McGarvey ST, Mak AC, Loos RJ, Kumar R, Kooperberg C, Konkle BA, Kelly S, Kardia SL, Kaplan R, He J, Gui H, Gilliland FD, Gelb BD, Fornage M, Ellinor PT, de Andrade M, Correa A, Chen YI, Boerwinkle E, Barnes KC, Ashley-Koch AE, Arnett DK, Laurie CC, Abecasis G, Nickerson DA, Wilson JG, Rich SS, Levy D, Ruczinski I, Aviv A, Blackwell TW, Thornton T, O'Connell J, Cox NJ, Perry JA, Armanios M, Battle A, Pankratz N, Reiner AP, and Mathias RA
- Abstract
Genetic studies on telomere length are important for understanding age-related diseases. Prior GWAS for leukocyte TL have been limited to European and Asian populations. Here, we report the first sequencing-based association study for TL across ancestrally-diverse individuals (European, African, Asian and Hispanic/Latino) from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. We used whole genome sequencing (WGS) of whole blood for variant genotype calling and the bioinformatic estimation of telomere length in n=109,122 individuals. We identified 59 sentinel variants (p-value <5×10
-9 ) in 36 loci associated with telomere length, including 20 newly associated loci (13 were replicated in external datasets). There was little evidence of effect size heterogeneity across populations. Fine-mapping at OBFC1 indicated the independent signals colocalized with cell-type specific eQTLs for OBFC1 ( STN1 ). Using a multi-variant gene-based approach, we identified two genes newly implicated in telomere length, DCLRE1B ( SNM1B ) and PARN . In PheWAS, we demonstrated our TL polygenic trait scores (PTS) were associated with increased risk of cancer-related phenotypes., Competing Interests: Declaration of Interests: The authors declare the following competing interests: J.C.C. has received research materials from GlaxoSmithKline and Merck (inhaled steroids) and Pharmavite (vitamin D and placebo capsules) to provide medications free of cost to participants in NIH-funded studies, unrelated to the current work. B.I.F. is a consultant for AstraZeneca Pharmaceuticals and RenalytixAI L.W. is on the advisory board for GlaxoSmithKline and receives grant funding from NIAID, NHLBI, and NIDDK, NIH I.V.Y. is a consultant for ElevenP15 S.A. receives equity and salary from 23andMe, Inc. M.H.C. receives grant support from GlaxoSmithKline S.T.W. receives royalties from UpToDate E.K.S. received grant support from GlaxoSmithKline and Bayer in the past three years. B.M.P. serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. F.D.M. is supported by grants from NIH/NHLBI (HL139054,HL091889,HL132523,HL130045,HL098112,HL056177), the NIH/NIEHS (ES006614), the NIH/NIAID (AI126614), and the NIH/ Office of Director (OD023282). Vifor Pharmaceuticals provided medicine and additional funding to support recruitment for HL130045. Dr. Martinez is a council member for the Council for the Developing Child. P.T.E. is supported by a grant from Bayer AG to the Broad Institute focused on the genetics and therapeutics of cardiovascular diseases. Dr. Ellinor has also served on advisory boards or consulted for Bayer AG, Quest Diagnostics, and Novartis. K.C.B. receives royalties from UpToDate G.A. is an employee of Regeneron Pharmaceuticals and owns stock and stock options for Regeneron Pharmaceuticals. A.M. is an employee of Regeneron Pharmaceuticals and owns stock and stock options for Regeneron Pharmaceuticals. A.B. is a consultant for Third Rock Ventures, LLC and holds stock in Google, Inc. D.A.S. is the founder and chief scientific officer of Eleven P15, a company focused on the early diagnosis and treatment of pulmonary fibrosis- Published
- 2022
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47. HLA alleles and sustained peanut consumption promote IgG4 responses in subjects protected from peanut allergy.
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Kanchan K, Grinek S, Bahnson HT, Ruczinski I, Shankar G, Larson D, Du Toit G, Barnes KC, Sampson HA, Suarez-Farinas M, Lack G, Nepom GT, Cerosaletti K, and Mathias RA
- Subjects
- Child, Female, Humans, Male, 2S Albumins, Plant immunology, Alleles, Antibody Formation genetics, Antibody Formation immunology, Antigens, Plant immunology, Arachis, HLA-DQ alpha-Chains genetics, HLA-DQ alpha-Chains immunology, Immunoglobulin G immunology, Peanut Hypersensitivity genetics, Peanut Hypersensitivity immunology
- Abstract
We investigated the interplay between genetics and oral peanut protein exposure in the determination of the immunological response to peanut using the targeted intervention in the LEAP clinical trial. We identified an association between peanut-specific IgG4 and HLA-DQA1*01:02 that was only observed in the presence of sustained oral peanut protein exposure. The association between IgG4 and HLA-DQA1*01:02 was driven by IgG4 specific for the Ara h 2 component. Once peanut consumption ceased, the association between IgG4-specific Ara h 2 and HLA-DQA1*01:02 was attenuated. The association was validated by observing expanded IgG4-specific epitopes in people who carried HLA-DQA1*01:02. Notably, we confirmed the previously reported associations with HLA-DQA1*01:02 and peanut allergy risk in the absence of oral peanut protein exposure. Interaction between HLA and presence or absence of exposure to peanut in an allergen- and epitope-specific manner implicates a mechanism of antigen recognition that is fundamental to driving immune responses related to allergy risk or protection.
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- 2022
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48. Polygenic prediction of atopic dermatitis improves with atopic training and filaggrin factors.
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Arehart CH, Daya M, Campbell M, Boorgula MP, Rafaels N, Chavan S, David G, Hanifin J, Slifka MK, Gallo RL, Hata T, Schneider LC, Paller AS, Ong PY, Spergel JM, Guttman-Yassky E, Leung DYM, Beck LA, Gignoux CR, Mathias RA, and Barnes KC
- Subjects
- Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Infant, Linkage Disequilibrium, Loss of Function Mutation, Male, Phenotype, Dermatitis, Atopic genetics, Filaggrin Proteins genetics
- Abstract
Background: While numerous genetic loci associated with atopic dermatitis (AD) have been discovered, to date, work leveraging the combined burden of AD risk variants across the genome to predict disease risk has been limited., Objectives: This study aims to determine whether polygenic risk scores (PRSs) relying on genetic determinants for AD provide useful predictions for disease occurrence and severity. It also explicitly tests the value of including genome-wide association studies of related allergic phenotypes and known FLG loss-of-function (LOF) variants., Methods: AD PRSs were constructed for 1619 European American individuals from the Atopic Dermatitis Research Network using an AD training dataset and an atopic training dataset including AD, childhood onset asthma, and general allergy. Additionally, whole genome sequencing data were used to explore genetic scoring specific to FLG LOF mutations., Results: Genetic scores derived from the AD-only genome-wide association studies were predictive of AD cases (PRS
AD : odds ratio [OR], 1.70; 95% CI, 1.49-1.93). Accuracy was first improved when PRSs were built off the larger atopy genome-wide association studies (PRSAD+ : OR, 2.16; 95% CI, 1.89-2.47) and further improved when including FLG LOF mutations (PRSAD++ : OR, 3.23; 95% CI, 2.57-4.07). Importantly, while all 3 PRSs correlated with AD severity, the best prediction was from PRSAD++ , which distinguished individuals with severe AD from control subjects with OR of 3.86 (95% CI, 2.77-5.36)., Conclusions: This study demonstrates how PRSs for AD that include genetic determinants across atopic phenotypes and FLG LOF variants may be a promising tool for identifying individuals at high risk for developing disease and specifically severe disease., (Copyright © 2021. Published by Elsevier Inc.)- Published
- 2022
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49. Multiethnic genome-wide and HLA association study of total serum IgE level.
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Daya M, Cox C, Acevedo N, Boorgula MP, Campbell M, Chavan S, Cho MH, David GL, Kachroo P, Lasky-Su J, Li X, McHugh CP, Qiao D, Rafaels N, Beck LA, Bleecker ER, Caraballo L, Cupples AL, Figueiredo CA, Gallo RL, Hanifin J, Hansel NN, Hata TR, Hersh CP, Knight-Madden J, Leung DYM, Guttman-Yassky E, Meyers DA, O'Connor G, Ober C, Ong PY, Ortega VE, Paller AS, Putcha N, Reed RM, Schneider LC, Silverman EK, Slifka MK, Spergel JM, Vasan RS, Viaud-Martinez KA, Watson H, Weiss ST, Ruczinski I, Beaty TH, Mathias RA, and Barnes KC
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- Adolescent, Adult, Aged, Child, Child, Preschool, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Immunoglobulin E blood, Male, Middle Aged, National Heart, Lung, and Blood Institute (U.S.), United States, Whole Genome Sequencing, Young Adult, Asthma genetics, Dermatitis, Atopic genetics, Ethnicity, Genotype, HLA-A2 Antigen genetics, HLA-DQ beta-Chains genetics
- Abstract
Background: Total serum IgE (tIgE) is an important intermediate phenotype of allergic disease. Whole genome genetic association studies across ancestries may identify important determinants of IgE., Objective: We aimed to increase understanding of genetic variants affecting tIgE production across the ancestry and allergic disease spectrum by leveraging data from the National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine program; the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA); and the Atopic Dermatitis Research Network (N = 21,901)., Methods: We performed genome-wide association within strata of study, disease, and ancestry groups, and we combined results via a meta-regression approach that models heterogeneity attributable to ancestry. We also tested for association between HLA alleles called from whole genome sequence data and tIgE, assessing replication of associations in HLA alleles called from genotype array data., Results: We identified 6 loci at genome-wide significance (P < 5 × 10
-9 ), including 4 loci previously reported as genome-wide significant for tIgE, as well as new regions in chr11q13.5 and chr15q22.2, which were also identified in prior genome-wide association studies of atopic dermatitis and asthma. In the HLA allele association study, HLA-A∗02:01 was associated with decreased tIgE level (Pdiscovery = 2 × 10-4 ; Preplication = 5 × 10-4 ; Pdiscovery+replication = 4 × 10-7 ), and HLA-DQB1∗03:02 was strongly associated with decreased tIgE level in Hispanic/Latino ancestry populations (PHispanic/Latino discovery+replication = 8 × 10-8 )., Conclusion: We performed the largest genome-wide association study and HLA association study of tIgE focused on ancestrally diverse populations and found several known tIgE and allergic disease loci that are relevant in non-European ancestry populations., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2021
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50. Genome-wide association study of asthma, total IgE, and lung function in a cohort of Peruvian children.
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Akenroye AT, Brunetti T, Romero K, Daya M, Kanchan K, Shankar G, Chavan S, Preethi Boorgula M, Ampleford EA, Fonseca HF, Hawkins GA, Pitangueira Teixeira HM, Campbell M, Rafaels N, Winters A, Bleecker ER, Cruz AA, Barreto ML, Meyers DA, Ortega VE, Figueiredo CA, Barnes KC, Checkley W, Hansel NN, and Mathias RA
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- Adolescent, Americas, Asthma epidemiology, Child, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, HLA-DQ Antigens metabolism, Humans, Lung immunology, Male, Peru epidemiology, Polymorphism, Single Nucleotide, RNA, Long Noncoding genetics, Spain, Young Adult, Asthma genetics, Genotype, Immunoglobulin E metabolism, Indigenous Peoples, Lung metabolism
- Abstract
Background: Genetic ancestry plays a role in asthma health disparities., Objective: Our aim was to evaluate the impact of ancestry on and identify genetic variants associated with asthma, total serum IgE level, and lung function., Methods: A total of 436 Peruvian children (aged 9-19 years) with asthma and 291 without asthma were genotyped by using the Illumina Multi-Ethnic Global Array. Genome-wide proportions of indigenous ancestry populations from continental America (NAT) and European ancestry from the Iberian populations in Spain (IBS) were estimated by using ADMIXTURE. We assessed the relationship between ancestry and the phenotypes and performed a genome-wide association study., Results: The mean ancestry proportions were 84.7% NAT (case patients, 84.2%; controls, 85.4%) and 15.3% IBS (15.8%; 14.6%). With adjustment for asthma, NAT was associated with higher total serum IgE levels (P < .001) and IBS was associated with lower total serum IgE levels (P < .001). NAT was associated with higher FEV
1 percent predicted values (P < .001), whereas IBS was associated with lower FEV1 values in the controls but not in the case patients. The HLA-DR/DQ region on chromosome 6 (Chr6) was strongly associated with total serum IgE (rs3135348; P = 3.438 × 10-10 ) and was independent of an association with the haplotype HLA-DQA1∼HLA-DQB1:04.01∼04.02 (P = 1.55 × 10-05 ). For lung function, we identified a locus (rs4410198; P = 5.536 × 10-11 ) mapping to Chr19, near a cluster of zinc finger interacting genes that colocalizes to the long noncoding RNA CTD-2537I9.5. This novel locus was replicated in an independent sample of pediatric case patients with asthma with similar admixture from Brazil (P = .005)., Conclusion: This study confirms the role of HLA in atopy, and identifies a novel locus mapping to a long noncoding RNA for lung function that may be specific to children with NAT., (Copyright © 2021 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.)- Published
- 2021
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