129 results on '"Ludwig KU"'
Search Results
2. Webcam technology on neonatal wards—examining the objective and subjective workload of nurses: a combined observational and survey study
- Author
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Helena Sophie Müller, Michael Becker-Peth, Ludwig Kuntz, and Neo-CamCare
- Subjects
Workload ,Webcam technology ,Nurse ,Neonatology ,Nursing ,RT1-120 - Abstract
Abstract Background This study was conducted to estimate the additional objective and perceived workload of nurses resulting from the use of webcams. The successful implementation of webcam technology into routine care requires an analysis to prevent adverse events of increased nursing workload. Methods The study took place on three neonatal wards in two University Hospitals in Germany. In the first Hospital, the study was conducted from February to July 2021; in the second one it was conducted between June and November 2021. Data were collected using a combined approach of a standardised diary questionnaire study and passive observations. The participants were accompanied in their daily work and their activities were recorded 65 nurses participated. Results 2,031 h were observed in 1,630 observation blocks. In 14.74% of the observation blocks webcam activities were detected. The extent to which the nurses had webcam-related additional workloads was rated as no additional workload in 82.16% of the daily questionnaires (n = 1,026). Conclusion The observed low workload due to the webcams is in line with the nurses’ perception. The observational data revealed, on a number of different analysis levels, that a limited additional workload was generated. There was no decrease in activity performance observed and no clear indication for interruptions due to the webcam-related activities for the nurses. However, it is important to raise awareness about the individual workload levels for the successful implementation. Additional education programs can be provided for nurses. Trial registration The Neo-CamCare study is registered at the German Clinical Trials Register. DRKS-ID: DRKS00017755 .
- Published
- 2024
- Full Text
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3. Quality of health care for patients with coronary heart disease and comorbid mental disorders: a prospective cohort study
- Author
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Laura Nordmeyer, Charlotte Leikert, Lena Sannemann, Kai Keller, Christin Leminski, Adriana Meixner, Samia Peltzer, Belinda Werner, Ludwig Kuntz, Holger Pfaff, Frank Schulz-Nieswandt, Frank Jessen, Christian Albus, and Cologne Research and Development Network (CoRe-Net) Study Group
- Subjects
Coronary heart disease ,Mental disorders ,Delivery of health care ,Primary care ,Prospective studies ,Psychology ,BF1-990 - Abstract
Abstract Background Coronary heart disease (CHD) is often associated with mental disorders (MDs). Comorbid MDs reduce the quality of life and increase cardiac morbidity and mortality. Nevertheless, there is little and inconsistent research on the management of MDs in CHD patients. To bridge this gap, this study aims to gain insight into the long-term course of MD-related health care for patients with CHD, in order to identify opportunities for care improvement. Methods In this prospective cohort study, we investigated whether CHD patients with or without expert-rated MD at baseline (N = 364) received different MD-related health care from either their general practitioner (GP) or cardiologist at follow-up, M = 2.7 [2.0–4.0] years later. In the follow-up assessment, N = 131 CHD patients participated and received questionnaires capturing sociodemographic, mental health, and MD-related health care characteristics. Descriptive statistics, t-tests and chi-squared tests were used for analyses. Results We found significant differences in MD-related health care. CHD patients with MD were more likely to be examined psychologically/psychiatrically (MD 55.9%, non-MD 16.7%, p =
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- 2024
- Full Text
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4. Novel genes and sex differences in COVID-19 severity
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Cruz, R, Diz-de Almeida, S, de Heredia, ML, Quintela, I, Ceballos, FC, Lorenzo-Salazar, GM, Gonzalez-Montelongo, R, Gago-Dominguez, M, Porras, MS, Castano, JAT, Nevado, J, Aguado, JM, Aguilar, C, Aguilera-Albesa, S, Almadana, V, Almoguera, B, Alvarez, N, Andreu-Bernabeu, A, Arana-Arri, E, Arango, C, Arranz, MJ, Artiga, MJ, Baptista-Rosas, RC, Barreda-Sanchez, M, Belhassen-Garcia, M, Bezerra, JF, Bezerra, MAC, Boix-Palop, L, Brion, M, Brugada, R, Bustos, M, Calderon, EJ, Carbonell, C, Castano, L, Castelao, JE, Conde-Vicente, R, Cordero-Lorenzana, ML, Cortes-Sanchez, JL, Corton, M, Darnaude, MT, De Martino-Rodriguez, A, del Campo-Perez, V, de Bustamante, AD, Dominguez-Garrido, E, Luchessi, AD, Eiros, R, Sanabria, GME, Carmen Farinas, M, Fernandez-Robelo, U, Fernandez-Rodriguez, A, Fernandez-Villa, T, Gil-Fournier, B, Gomez-Arrue, J, Alvarez, BG, de Quiros, FGB, Gonzalez-Penas, J, Gutierrez-Bautista, JF, Herrero, MJ, Herrero-Gonzalez, A, Jimenez-Sousa, MA, Lattig, MC, Borja, AL, Lopez-Rodriguez, R, Mancebo, E, Martin-Lopez, C, Martin, V, Martinez-Nieto, O, Martinez-Lopez, I, Martinez-Resendez, MF, Martinez-Perez, A, Mazzeu, JF, Macias, EM, Minguez, P, Cuerda, VM, Silbiger, VN, Oliveira, SF, Ortega-Paino, E, Parellada, M, Paz-Artal, E, Santos, NPC, Perez-Matute, P, Perez, P, Perez-Tomas, ME, Perucho, T, Pinsach-Abuin, ML, Pompa-Mera, EN, Porras-Hurtado, GL, Pujol, A, Leon, SR, Resino, S, Fernandes, MR, Rodriguez-Ruiz, E, Rodriguez-Artalejo, F, Rodriguez-Garcia, JA, Cabello, FR, Ruiz-Hornillos, J, Ryan, P, Soria, JM, Souto, JC, Tamayo, E, Tamayo-Velasco, A, Taracido-Fernandez, JC, Teper, A, Torres-Tobar, L, Urioste, M, Valencia-Ramos, J, Yanez, Z, Zarate, R, Nakanishi, T, Pigazzini, S, Degenhardt, F, Butler-Laporte, G, Maya-Miles, D, Bujanda, L, Bouysran, Y, Palom, A, Ellinghaus, D, Martinez-Bueno, M, Rolker, S, Amitrano, S, Roade, L, Fava, F, Spinner, CD, Prati, D, Bernardo, D, Garcia, F, Darcis, G, Fernandez-Cadenas, I, Holter, JC, Banales, JM, Frithiof, R, Duga, S, Asselta, R, Pereira, AC, Romero-Gomez, M, Nafria-Jimenez, B, Hov, JR, Migeotte, I, Renieri, A, Planas, AM, Ludwig, KU, Buti, M, Rahmouni, S, Alarcon-Riquelme, ME, Schulte, EC, Franke, A, Karlsen, TH, Valenti, L, Zeberg, H, Richards, B, Ganna, A, Boada, M, de Rojas, I, Ruiz, A, Sanchez-Juan, P, Real, LM, Guillen-Navarro, E, Ayuso, C, Gonzalez-Neira, A, Riancho, JA, Rojas-Martinez, A, Flores, C, Lapunzina, P, and Carracedo, A
- Abstract
Here, we describe the results of a genome-wide study conducted in 11939 coronavirus disease 2019 (COVID-19) positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (P= 60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided.
- Published
- 2022
5. Mapping the human genetic architecture of COVID-19
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Niemi, MEK, Karjalainen, J, Liao, RG, Neale, BM, Daly, M, Ganna, A, Pathak, GA, Andrews, SJ, Kanai, M, Veerapen, K, Fernandez-Cadenas, I, Schulte, EC, Striano, P, Marttila, M, Minica, C, Marouli, E, Karim, MA, Wendt, FR, Savage, J, Sloofman, L, Butler-Laporte, G, Kim, H-N, Kanoni, S, Okada, Y, Byun, J, Han, Y, Uddin, MJ, Smith, GD, Willer, CJ, Buxbaum, JD, Mehtonen, J, Finucane, H, Cordioli, M, Martin, AR, 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, MK, Davis, L, Lee, S, Priest, J, Renieri, A, Sankaran, VG, van Heel, D, Deelen, P, Richards, JB, Nakanishi, T, Biesecker, L, Kerchberger, VE, Kenneth, J, Mari, F, Bernasconi, A, Ceri, S, Canakoglu, A, Wolford, B, Faucon, A, Dutta, AK, Schurmann, C, Harry, E, Birney, E, Nguyen, H, Nasir, J, Kaunisto, M, Solomonson, M, Dueker, N, Vadgama, N, Limou, S, Rahmouni, S, Mbarek, H, Darwish, D, Uddin, MM, Albertos, R, Perez-Tur, J, Li, R, Folkersen, L, Moltke, I, Koelling, N, Teumer, A, Kousathanas, A, Utrilla, A, Verdugo, RA, Zarate, R, Medina-Gomez, C, Gomez-Cabrero, D, Carnero-Montoro, E, Cadilla, CL, Moreno-Estrada, A, Garmendia, A, Moya, L, Sedaghati-Khayat, B, Boua, PR, Fave, M-J, Francioli, L, Lemacon, A, Migeotte, I, Patel, S, Varnai, R, Szentpeteri, JL, Sipeky, C, Colombo, F, von Hohenstaufen, K, Lio, P, Vallerga, C, Wang, Q, Tanigawa, Y, Im, H, Han, C, Song, H, Lim, J, Lee, Y, Kim, S, Im, S, Atanasovska, B, Ahmad, HF, Boer, C, Jansen, P, Franke, L, Kaja, E, Pasko, D, Kennis-Szilagyi, I, Kornilov, SA, Prijatelj, V, Prokic, I, Sivanadhan, I, Perumal, S, Esmaeeli, S, Pearson, NM, Auton, A, Shelton, JF, Shastri, AJ, Filshtein-Sonmez, T, Coker, D, Symons, A, Esparza-Gordillo, J, Aslibekyan, S, O'Connell, J, Ye, C, Weldon, CH, Perera, M, O'Leary, K, Tuck, M, O'Brien, T, Meltzer, D, O'Donnell, P, Nutescu, E, Yang, G, Alarcon, C, Herrmann, S, Mazurek, S, Banagan, J, Hamidi, Z, Barbour, A, Raffat, N, Moreno, D, Friedman, P, Ferwerda, B, van de Beek, D, Brouwer, MC, Vlaar, APJ, Wiersinga, WJ, Posthuma, D, Tissink, E, Zwinderman, AHK, Uffelmann, E, van Agtmael, M, Algera, AG, van Baarle, F, Bax, D, Beudel, M, Bogaard, HJ, Bomers, M, Bonta, PI, Bos, L, Botta, M, de Brabander, J, de Bree, G, de Bruin, S, Bugiani, M, Bulle, E, Chouchane, O, Cloherty, A, Dongelmans, D, Elbers, P, Fleuren, L, Geerlings, S, Geerts, B, Geijtenbeek, T, Girbes, A, Goorhuis, B, Grobusch, MP, Hafkamp, F, Hagens, L, Hamann, J, Harris, V, Hemke, R, Hermans, SM, Heunks, L, Hollmann, M, Horn, J, Hovius, JW, de Jong, MD, Koning, R, van Mourik, N, Nellen, J, Nossent, EJ, Paulus, F, Peters, E, van der Poll, T, Preckel, B, Prins, JM, Raasveld, J, Reijnders, T, Schinkel, M, Schultz, MJ, Schuurman, A, Sigaloff, K, Smit, M, Stijnis, CS, Stilma, W, Teunissen, C, Thoral, P, Tsonas, A, van der Valk, M, Veelo, D, de Vries, H, van Vugt, M, Wouters, D, Minnaar, RP, Kromhout, A, van Uffelen, KWJ, Wolterman, RA, 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, Guntz, J, Beguin, Y, Pigazzini, S, Nkambule, L, Bouysran, Y, Busson, A, Peyrassol, X, Wilkin, F, Pichon, B, Smits, G, Vandernoot, I, Goffard, J-C, Georges, M, Moutschen, M, Misset, B, Darcis, G, Guiot, J, Jadot, L, Azarzar, S, Dellot, P, Gofflot, S, Claassen, S, Bertrand, A, Parzibut, G, Clarinval, M, Moermans, C, Malaise, O, El Kandoussi, K, Thonon, R, Huynen, P, Mesdagh, A, Melo, S, Jacques, N, Di Valentin, E, Giroule, F, Collignon, A, Radermecker, C, Lebrun, M, Peree, H, Latour, S, Barada, O, Sanchez, J, Josse, C, Boujemla, B, Meunier, M, Mariavelle, E, Anania, S, Gazon, H, Juszczak, D, Fadeur, M, Camby, S, Meuris, C, Thys, M, Jacques, J, Henket, M, Leonard, P, Frippiat, F, Giot, J-B, Sauvage, A-S, Von Frenckell, C, Mni, M, Wery, M, Staderoli, A, Belhaj, Y, Lambermont, B, Morrison, DR, Mooser, V, Forgetta, V, 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, Chasse, M, Kaufmann, DE, Lathrop, GM, Adra, D, Davis, LK, Cox, NJ, Below, JE, Sealock, JM, Faucon, AB, Shuey, MM, Polikowsky, HG, Petty, LE, Shaw, DM, Chen, H-H, Zhu, W, Ludwig, KU, Schroeder, J, Maj, C, Rolker, S, Noethen, MM, Fazaal, J, Keitel, V, Jensen, B-EO, Feldt, T, Kurth, I, Marx, N, Dreher, M, Pink, I, Cornberg, M, Illig, T, Lehmann, C, Schommers, P, Augustin, M, Rybniker, J, Knopp, L, Eggermann, T, Volland, S, Altmueller, J, Berger, MM, Brenner, T, Hinney, A, Witzke, O, Bals, R, Herr, C, Ludwig, N, Walter, J, Fuchsberger, C, Pattaro, C, De Grandi, A, Pramstaller, P, Emmert, D, Melotti, R, Foco, L, Mascalzoni, D, Gogele, M, Domingues, F, Hicks, A, Gignoux, CR, Wicks, SJ, Crooks, K, Barnes, KC, Daya, M, Shortt, J, Rafaels, N, Chavan, S, Goldstein, DB, Kiryluk, K, Sengupta, S, Chung, W, Reilly, MP, Khan, A, Wang, C, Povysil, G, Bhardwaj, N, Gharavi, AG, Ionita-Laza, I, Shang, N, O'Byrne, SM, Nandakumar, R, Menon, A, So, YS, Hod, E, Pendrick, D, Park, S-K, Kim, H-L, Kang, CK, Lee, H-J, Song, K-H, Yoon, KJ, Paik, N-J, Seok, W, Yoon, H, Joo, E-J, Chang, Y, Ryu, S, Park, WB, Park, JS, Park, KU, Ham, SY, Jung, J, Kim, ES, Kim, HB, Ellinghaus, D, Degenhardt, F, Caceres, M, Juzenas, S, Lenz, TL, Albillos, A, Julia, A, Heidecker, B, Garcia, F, Kurth, F, Tran, F, Hanses, F, Zoller, H, Holter, JC, Fernandez, J, Sander, LE, Rosenstiel, P, Koehler, P, de Cid, R, Asselta, R, Schreiber, S, Hehr, U, Prati, D, Baselli, G, Valenti, L, Bujanda, L, Banales, JM, Duga, S, D'Amato, M, Romero-Gomez, M, Buti, M, Invernizzi, P, Franke, A, Hov, JR, Karlsen, TH, Folseraas, T, Maya-Miles, D, Teles, A, Azuure, C, Wacker, EM, Uellendahl-Werth, F, Elabd, H, Arora, J, Lerga-Jaso, J, Wienbrandt, L, Ruehlemann, MC, Wendorff, M, Vadla, MS, Lenning, OB, Oezer, O, Myhre, R, Raychaudhuri, S, Tanck, A, Gassner, C, Hemmrich-Stanisak, G, Kaessens, J, Basso, MEF, Schulzky, M, Wittig, M, Braun, N, Wesse, T, Albrecht, W, Yi, X, Ortiz, AB, Garrido Chercoles, A, Ruiz, A, Mantovani, A, Holten, AR, Mayer, A, Cherubini, A, Protti, A, Aghemo, A, Gerussi, A, Ramirez, A, Braun, A, Barreira, A, Lleo, A, Kildal, AB, Glueck, A, Carreras Nolla, A, Latiano, A, Dyrhol-Riise, AM, Muscatello, A, Voza, A, Rando-Segura, A, Solier, A, Karina, B, Cortes, B, Mateos, B, Nafria-Jimenez, B, Schaefer, B, Bellinghausen, C, Ferrando, C, Quereda, C, Skurk, C, Thibeault, C, Spinner, CD, Lange, C, Hu, C, Cappadona, C, Bianco, C, Sancho, C, Hoff, DAL, Galimberti, D, Jimenez, D, Pestana, D, Toapanta, D, Azzolini, E, Scarpini, E, Helbig, ET, Urrechaga, E, Paraboschi, EM, Pontali, E, Reverter, E, Navas, E, Arana, E, Garcia Sanchez, F, Ceriotti, F, Malvestiti, F, Mesonero, F, Pezzoli, G, Lamorte, G, Neb, H, My, I, Hernandez, I, de Rojas, I, Galvan-Femenia, I, Heyckendorf, J, Badia, JR, Schneider, J, Goikoetxea, J, Kraft, J, Mueller, KE, Gaede, KI, Garcia-Etxebarria, K, Tonby, K, Heggelund, L, Izquierdo-Sanchez, L, Sumoy, L, Lippert, LJ, Terranova, L, Garbarino, L, Tellez, L, Roade, L, Ostadreza, M, Intxausti, M, Kogevinas, M, Gutierrez-Stampa, MA, Vehreschild, MJGT, Marquie, M, Castoldi, M, Cecconi, M, Boada, M, Seilmaier, MJ, Mazzocco, M, Rodriguez-Gandia, M, Imaz Ayo, N, Blay, N, Martinez, N, Cornely, OA, Palmieri, O, Tentorio, P, Rodrigues, PM, Espana, PP, Hoffmann, P, Bacher, P, Suwalski, P, de Pablo, R, Nieto, R, Badalamenti, S, Ciesek, S, Bombace, S, Wilfling, S, Brunak, S, Heilmann-Heimbach, S, Ripke, S, Bahmer, T, Landmesser, U, Protzer, U, Rimoldi, V, Skogen, V, Andrade, V, Moreno, V, Poller, W, Farre, X, Wang, X, Khodamoradi, Y, Karadeniz, Z, de Salazar, A, Palom, A, Garcia-Fernandez, A-E, Blanco-Grau, A, Zanella, A, Bandera, A, Nebel, A, Biondi, A, Caba Llero-Garralda, A, Gori, A, Lind, A, Fracanzani, AL, Peschuck, A, Pesenti, A, De la Horra, C, Milani, C, Paccapelo, C, Angelini, C, Cea, C, Muniz-Diaz, E, Sandoval, E, Calderon, EJ, Solligard, E, Aziz, F, Martinelli-Boneschi, F, Peyvandi, F, Blasi, F, Medrano, FJ, Rodriguez-Frias, F, Mueller, F, Grasselli, G, Costantino, G, Cardamone, G, Foti, G, Matullo, G, Kurihara, H, Afset, JE, Damas, JK, Ampuero, J, Martin, J, Erdmann, J, Bergan, J, Goerg, S, Ferrusquia-Acosta, J, Hernandez Quero, J, Delgado, J, Guerrero, JM, Risnes, K, Bettini, LR, Moreira, L, Gustad, LT, Santoro, L, Scudeller, L, Riveiro-Barciela, M, Schaefer, M, Carrabba, M, Valsecchi, MG, Hernandez-Tejero, M, Acosta-Herrera, M, D'Angio, M, Baldini, M, Cazzaniga, M, Ciccarelli, M, Bocciolone, M, Miozzo, M, Chueca, N, Montano, N, Faverio, P, Preatoni, P, Bonfanti, P, Omodei, P, Castro, P, Ferrer, R, Gualtierotti, R, Gallego-Duran, R, Morilla, R, Haider, S, Marsal, S, Aneli, S, Pelusi, S, Bosari, S, Aliberti, S, Dudman, S, Zheng, T, Pumarola, T, Gonzalez Cejudo, T, Monzani, V, Friaza, V, Peter, W, Dopazo, X, May, S, Grimsrud, MM, Gudbjartsson, DF, Stefansson, K, Sulem, P, Sveinbjornsson, G, Melsted, P, Norddahl, G, Moore, KHS, Thorsteinsdottir, U, Holm, H, Alarcon-Riquelme, ME, Bernardo, D, Martinez-Bueno, M, Rojo Rello, S, Magi, R, Milani, L, Metspalu, A, Laisk, T, Lall, 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, Kristiansson, K, Koskelainen, S, Perola, M, Donner, K, Kivinen, K, Palotie, A, 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, Bochud, PY, 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, Desgranges, F, Filippidis, P, Guery, B, Haefliger, D, Kampouri, EE, Manuel, O, Munting, A, Iou-Olivgeris, MP, Regina, J, Rochat-Stettler, L, Suttels, V, Tadini, E, Tschopp, J, Van Singer, M, Viala, B, Boillat-Blanco, N, Brahier, T, Hugli, O, Meuwly, JY, Pantet, O, Bochud, M, D'Acremont, V, Younes, SE, 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, Carreras, A, Mercader, JM, Guindo-Martinez, M, Torrents, D, Garcia-Aymerich, J, Castano-Vinyals, G, Dobano, C, Gori, M, 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, Spagnesi, M, Canaccini, A, Ognibene, A, Monforte, AD, Girardis, M, Antinori, A, Francisci, D, Schiaroli, E, Scotton, PG, Panese, S, Scaggiante, R, Della Monica, M, Capasso, M, Fiorentino, G, Castori, M, Aucella, F, Di Biagio, A, Masucci, L, Valente, S, Mandala, M, Zucchi, P, Giannattasio, F, Coviello, DA, Mussini, C, Bosio, G, Tavecchia, L, Crotti, L, Rizzi, M, La Rovere, MT, 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, Di Pietro, M, Sabrina, R, Luchi, S, Barbieri, C, Acquilini, D, Andreucci, E, Paciosi, F, Segala, FV, Tiseo, G, Falcone, M, Lista, M, Poscente, M, De Vivo, O, Petrocelli, P, Guarnaccia, A, Baroni, S, Perticaroli, V, Furini, S, Dei, S, Benetti, E, Picchiotti, N, Sanarico, M, Pinoli, P, Raimondi, F, Biscarini, F, Stella, A, Bergomi, M, 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, Lo Rizzo, C, Pinto, 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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. S., Obeidat, Ma’En, Hernández Cordero, Ana I., Sin, Don D., Bossé, Yohan, Joubert, Philippe, Hao, Ke, Nickle, David, Timens, Wim, van den Berge, Maarten, 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, 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, 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. 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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, Wolford, B, Faucon, A, Dutta, A, Schurmann, C, Harry, E, Birney, E, Nguyen, H, Nasir, J, Kaunisto, M, Solomonson, M, Dueker, N, Vadgama, N, Limou, S, Rahmouni, S, Mbarek, H, Darwish, D, Albertos, R, Pérez-Tur, J, Li, R, Folkersen, L, Moltke, I, Koelling, N, Teumer, A, Kousathanas, A, Utrilla, A, Verdugo, R, Zárate, R, Medina-Gómez, C, Gómez-Cabrero, D, Carnero-Montoro, E, Cadilla, C, Moreno-Estrada, A, Garmendia, A, Moya, L, Sedaghati-Khayat, B, Boua, P, Favé, M, Francioli, L, Lemaçon, A, Migeotte, I, Patel, S, Varnai, R, Szentpeteri, J, Sipeky, C, Colombo, F, von Hohenstaufen, K, Lio, P, Vallerga, C, Wang, Q, Tanigawa, Y, Im, H, Han, C, Song, H, Lim, J, Lee, Y, Kim, S, Im, S, Atanasovska, B, Ahmad, H, Boer, C, Jansen, P, Franke, L, Kaja, E, Pasko, D, Kennis-Szilagyi, I, Kornilov, S, Prijatelj, V, Prokić, I, Sivanadhan, I, Perumal, S, Esmaeeli, S, Pearson, N, Auton, A, Shelton, J, Shastri, A, Filshtein-Sonmez, T, Coker, D, Symons, A, Esparza-Gordillo, J, Aslibekyan, S, O’Connell, J, 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McCormack, L., Slater, V., Nixon, R., Hanson, H., Fearby, M., Kelly, S., Bridgett, V., Robinson, P., Almaden-Boyle, C., Austin, P., Cabrelli, L., Casey, M., Chapman, S., Whyte, C., Brayne, A., Fisher, E., Jackson, P., Kaye, D., Love, N., Parkin, J., Tuckey, V., van Koutrik, L., Carter, S., Andrew, B., Findlay, L., Adams, K., Bruce, M., Connolly, K., Duncan, T., T-Michael, H., Lindergard, G., Hey, S., Fox, C., Alfonso, J., Durrans, L.J., Guerin, J., Hruska, M., Eltayeb, A., Lamb, T., Hodgkiss, T., Cooper, L., Rothwell, J., Dennis, C., Srikaran, S., Sukha, A., Davies, K., O'Brien, L., Omar, Z., Perkins, E., Lewis, T., Sutherland, I., Brooke, H., Buckley, S., Suarez, J.C., Charlesworth, R., Hansson, K., Norris, J., Poole, A., Sandhu, R., Sloan, B., Smithson, E., Thirumaran, M., Wagstaff, V., Metcalfe, A., Camsooksai, J., Humphrey, C., Wadams, B., DeAth, Y., Adams, C., Agasou, A., Arden, T., Bowes, A., Boyle, P., Beekes, M., Button, H., Capps, N., Carnahan, M., Carter, A., Childs, D., Donaldson, D., Hard, K., Hurford, F., Hussain, Y., Javaid, A., Jose, S., Leigh, M., Martin, T., Millward, H., Motherwell, N., Rikunenko, R., Stickley, J., Summers, J., Ting, L., Tivenan, H., Tonks, L., Wilcox, R., Bokhari, M., Lucas, R., McCormick, W., Ritzema, J., Sanderson, A., Wild, H., Baxter, N., Henderson, S., Kennedy-Hay, S., Rooney, L., Sim, M., McCreath, G., Brunton, M., Caterson, J., Coles, H., Frise, M., Rai, S.G., Keating, L., Tilney, E., Bartley, S., Bhuie, P., Downes, C., Holding, K., Riches, K., Hilton, M., Hayman, M., Subramanian, D., Daniel, P., Zitter, L., Benyon, S., Marriott, S., Park, L., Keenan, S., Gordon, E., Quinn, H., Baines, K., Andrew, G., Barclay, L., Callaghan, M., Clark, S., Hope, D., Marshall, L., McCulloch, C., Briton, K., Singleton, J., Birch, S., Simpson, K., Craig, J., Demetriou, C., Eckbad, C., Hierons, S., Howie, L., Mitchard, S., Ramos, L., Serrano-Ruiz, A., White, K., Kelly, F., Amin, V., Anastasescu, E., Anumakonda, V., Karthik, K., Kausar, R., Reid, K., Imeson-Wood, J., Bellini, A., Bryant, J., Pickard, A., Roe, N., Sowter, J., Howlett, A., Criste, K., Cusack, R., Golder, K., Golding, H., Jones, O., Leggett, S., Male, M., Marani, M., Prager, K., Williams, T., Roberts, B., Salmon, K., Gondo, P., Kayani, A., Masunda, B., Ahmed, A., Morris, A., Jakkula, S., Long, K., Whiteley, S., Wilby, E., Ogg, B., Moultrie, S., Bewley, J., Garland, Z., Grimmer, L., Gumbrill, B., Sweet, K., Webster, D., Efford, G., Bennett, S., Goodwin, E., Jackson, M., Kent, A., Tibke, C., Woodyatt, W., Zaki, A., Daniel, A., Finn, J., Bremmer, P., Houston, G., O'Brien, P., Bell, D., Boyle, R., Douglas, K., Glass, L., Lee, E., Lennon, L., Rattray, A., Charnock, R., McFarland, D., Cosgrove, D., Attwood, B., Parsons, P., Carmody, S., Oblak, M., Popescu, M., Thankachen, M., Baruah, R., Morris, S., Ferguson, S., Shepherd, A., Altabaibeh, A., Alvaro, A., Gilbert, K., Ma, L., Mostoles, L., Parmar, C., Jetha, C., Booker, L., Pratley, A., Cosier, T., Millen, G., Schumacher, N., Weston, H., Rand, J., Alex, B., Bach, B., Barclay, W.S., Bogaert, D., Chand, M., Cooke, G.S., Docherty, A.B., Dunning, J., da Silva Filipe, A., Fletcher, T., Green, C.A., Harrison, E.M., Hiscox, J.A., Ijaz, S., Khoo, S., Lim, W.S., Mentzer, A.J., Merson, L., Noursadeghi, M., Moore, S.C., Palmarini, M., Paxton, W.A., Pollakis, G., Price, N., Rambaut, A., Robertson, D.L., Sancho-Shimizu, V., Scott, J.T., de Silva, T., Sigfrid, L., Solomon, T., Sriskandan, S., Stuart, D., Tedder, R.S., Thomson, E.C., Roger Thompson, A.A., Thwaites, R.S., Turtle, LCW, Gupta, R.K., Palmieri, C., Swann, O.V., Zambon, M., Dumas, M.E., Griffin, J.L., Takats, Z., Chechi, K., Andrikopoulos, P., Osagie, A., Olanipekun, M., Liggi, S., Lewis, M.R., Correia, GDS, Sands, C.J., Takis, P., Maslen, L., Greenhalf, W., Shaw, V., McDonald, S.E., Ahmed, K.A., Armstrong, J.A., Ashworth, M., Asiimwe, I.G., Bakshi, S., Barlow, S.L., Booth, L., Brennan, B., Bullock, K., Catterall, BWA, Clark, J.J., Clarke, E.A., Cox, H., Dincarslan, O., Dunn, C., Dyer, P., Elliott, A., Evans, A., Finch, L., Fisher, LWS, Foster, T., Garcia-Dorival, I., Gunning, P., Hartley, C., Jensen, R.L., Jones, C.B., Jones, T.R., Khandaker, S., Kiy, R.T., Koukorava, C., Lake, A., Lant, S., Latawiec, D., Lavelle-Langham, L., Lefteri, D., Lett, L., Livoti, L.A., Mancini, M., McDonald, S., McEvoy, L., McLauchlan, J., Metelmann, S., Miah, N.S., Middleton, J., Mitchell, J., Murphy, E.G., Penrice-Randal, R., Pilgrim, J., Prince, T., Reynolds, W., Ridley, P.M., Sales, D., Shaw, V.E., Shears, R.K., Small, B., Subramaniam, K.S., Szemiel, A., Taggart, A., Tanianis-Hughes, J., Trochu, E., van Tonder, L., Wilcock, E., Zhang, J.E., Flaherty, L., Maziere, N., Cass, E., Carracedo, A.D., Carlucci, N., Holmes, A., Massey, H., Murphy, L., Wrobel, N., McCafferty, S., Morrice, K., MacLean, A., Armstrong, R., Boz, C., Coutts, A., Cullum, L., Day, N., Donnelly, L., Duncan, E., Fawkes, A., Finernan, P., Gilchrist, T., Golightly, A., Hafezi, K., Law, D., Law, R., Law, S., Macgillivray, L., Maclean, A., Mal, H., Mcmaster, E., Meikle, J., Oosthuyzen, W., Paterson, T., Stenhouse, A., Swets, M., Szoor-McElhinney, H., Taneski, F., Wackett, T., Ward, M., Weaver, J., Coyle, J., Gallagher, B., Lidstone-Scott, R., Hamilton, D., Schon, K., Furlong, A., Biggs, H., Griffiths, F., Andrews, E., Brickell, K., Smyth, M., Carson, G., Hardwick, H., Donohue, C., Neale, Benjamin M. [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. Aufklärung biologischer Pathomechanismen am Chromosom 5p15 beim Barrett-Ösophagus und ösophagealem Adenokarzinom
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Schröder, J, additional, Hollstein, R, additional, Schüller, V, additional, Ludwig, KU, additional, Schumacher, J, additional, Gockel, I, additional, Thieme, R, additional, and Böhmer, AC, additional
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- 2019
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7. Existence and perceived application of pain management protocols in German neonatal intensive care units
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Melissa Ulmer, Kyriakos Martakis, Nadine Scholten, and Ludwig Kuntz
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Germany ,neonatal intensive care units ,nurses ,pain management ,physicians ,standard operating procedures ,Pediatrics ,RJ1-570 - Abstract
Abstract We explored the existence and application of standard operating procedures (SOPs) for pain management (PM) in German neonatal intensive care units (NICUs), and identified the factors associated with their application in practice. This study was part of the Safety4NICU project, a cross‐sectional survey conducted from 2015 to 2016. All 224 German NICUs were invited to participate, providing written consent from the head neonatologist and head nurse. We distributed questionnaires to the head neonatologist, the head nurse, and the NICU staff (physicians and nurses). We asked the head neonatologist whether written SOPs for PM existed, and we asked the staff whether these SOPs were applied in their daily routine. We received evaluable responses from 468 physicians and 1251 nurses from 76 NICUs. Of these 76 NICUs, the head neonatologists from 54 NICUs (71.1%) reported that written SOPs for PM exist. However, only 48.5% of the physicians and 53.7% of the nurses declared that these existing SOPs were also applied. We found various predictors for the existing SOPs as being applied, depending on the profession. For physicians, clinical training was important (OR: 2.482, p ≤ 0.05), while for nurses their working experience was a decisive predictor (OR: 1.265, p ≤ 0.05). For both, a high level of perceived cooperative norms between physicians and nurses increased the probability that SOPs for PM were applied, whereas a high bed turnover rate decreased that probability. According to the responses from head neonatologists, written SOPs for PM were common in German NICUs. However, if management strategies on pain existed, this did not mean that these were directly applied in the daily routine. Clinical training of the staff, the promotion of adequate interprofessional cooperation, as well as allowing time to deal with these SOPs might be all essential measures to strengthen the application.
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- 2022
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8. Meta-analysis Reveals Genome-Wide Significance at 15q13 for Nonsyndromic Clefting of Both the Lip and the Palate, and Functional Analyses Implicate GREM1 As a Plausible Causative Gene
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Ludwig, KU, Ahmed, ST, Bohmer, AC, Sangani, NB, Varghese, S, Klamt, J, Schuenke, H, Gultepe, P, Hofmann, A, Rubini, M, Aldhorae, KA, Steegers - Theunissen, Régine, Rojas-Martinez, A, Reiter, R, Borck, G, Knapp, M, Nakatomi, M, Graf, D, Mangold, E, Peters, H, Ludwig, KU, Ahmed, ST, Bohmer, AC, Sangani, NB, Varghese, S, Klamt, J, Schuenke, H, Gultepe, P, Hofmann, A, Rubini, M, Aldhorae, KA, Steegers - Theunissen, Régine, Rojas-Martinez, A, Reiter, R, Borck, G, Knapp, M, Nakatomi, M, Graf, D, Mangold, E, and Peters, H
- Abstract
Nonsyndromic orofacial clefts are common birth defects with multifactorial etiology. The most common type is cleft lip, which occurs with or without cleft palate (nsCLP and nsCLO, respectively). Although genetic components play an important role in nsCLP, the genetic factors that predispose to palate involvement are largely unknown. In this study, we carried out a meta-analysis on genetic and clinical data from three large cohorts and identified strong association between a region on chromosome 15q13 and nsCLP (P = 8.13x10-(14) for rs1258763; relative risk (RR): 1.46, 95% confidence interval (CI): 1.32-1.61)) but not nsCLO (P = 0.27; RR: 1.09 (0.94-1.27)). The 5 kb region of strongest association maps downstream of Gremlin-1 (GREM1), which encodes a secreted antagonist of the BMP4 pathway. We show during mouse embryogenesis, Grem1 is expressed in the developing lip and soft palate but not in the hard palate. This is consistent with genotype-phenotype correlations between rs1258763 and a specific nsCLP subphenotype, since a more than two-fold increase in risk was observed in patients displaying clefts of both the lip and soft palate but who had an intact hard palate (RR: 3.76, CI: 1.47-9.61, P-diff< 0.05). While we did not find lip or palate defects in Grem1-deficient mice, wild type embryonic palatal shelves developed divergent shapes when cultured in the presence of ectopic Grem1 protein (P = 0.0014). The present study identified a non-coding region at 15q13 as the second, genome-wide significant locus specific for nsCLP, after 13q31. Moreover, our data suggest that the closely located GREM1 gene contributes to a rare clinical nsCLP entity. This entity specifically involves abnormalities of the lip and soft palate, which develop at different time-points and in separate anatomical regions.
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- 2016
9. Do trained nurses feel more psychologically safe?—Results from a multi‐level modelling approach
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Melissa Seibert, Holger Pfaff, Nadine Scholten, and Ludwig Kuntz
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additional training ,multilevel modelling ,neonatal intensive care ,neonatal intensive care unit ,nursing ,professional education ,Nursing ,RT1-120 - Abstract
Abstract Aim To analyse the associations between a nurse's psychological safety and her/his additional training. Design A cross‐sectional survey conducted between September 2015 and August 2016. Methods A multi‐level modelling approach was used considering unit membership. We used data from 1,239 questionnaires completed by nurses on 75 different German neonatal intensive care units, and 75 questionnaires completed by the corresponding leading nurse. Results We found the additional managerial training as a charge nurse to be a positive predictor for psychological safety (β = .346, p ≤ .05). Surprisingly, the additional clinical training in paediatric intensive care is negatively associated with psychological safety (β = −.192, p ≤ .01). Our model estimates that this negative association can be inhibited if the team's share of nurses with an additional clinical training increases (β = .313, p ≤ .05).
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- 2021
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10. Personalised depression forecasting using mobile sensor data and ecological momentary assessment
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Alexander Kathan, Mathias Harrer, Ludwig Küster, Andreas Triantafyllopoulos, Xiangheng He, Manuel Milling, Maurice Gerczuk, Tianhao Yan, Srividya Tirunellai Rajamani, Elena Heber, Inga Grossmann, David D. Ebert, and Björn W. Schuller
- Subjects
depression ,forecasting ,personalised models ,machine learning ,mHealth ,mental illness ,Medicine ,Public aspects of medicine ,RA1-1270 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
IntroductionDigital health interventions are an effective way to treat depression, but it is still largely unclear how patients’ individual symptoms evolve dynamically during such treatments. Data-driven forecasts of depressive symptoms would allow to greatly improve the personalisation of treatments. In current forecasting approaches, models are often trained on an entire population, resulting in a general model that works overall, but does not translate well to each individual in clinically heterogeneous, real-world populations. Model fairness across patient subgroups is also frequently overlooked. Personalised models tailored to the individual patient may therefore be promising.MethodsWe investigate different personalisation strategies using transfer learning, subgroup models, as well as subject-dependent standardisation on a newly-collected, longitudinal dataset of depression patients undergoing treatment with a digital intervention (N=65 patients recruited). Both passive mobile sensor data as well as ecological momentary assessments were available for modelling. We evaluated the models’ ability to predict symptoms of depression (Patient Health Questionnaire-2; PHQ-2) at the end of each day, and to forecast symptoms of the next day.ResultsIn our experiments, we achieve a best mean-absolute-error (MAE) of 0.801 (25% improvement) for predicting PHQ-2 values at the end of the day with subject-dependent standardisation compared to a non-personalised baseline (MAE=1.062). For one day ahead-forecasting, we can improve the baseline of 1.539 by 12% to a MAE of 1.349 using a transfer learning approach with shared common layers. In addition, personalisation leads to fairer models at group-level.DiscussionOur results suggest that personalisation using subject-dependent standardisation and transfer learning can improve predictions and forecasts, respectively, of depressive symptoms in participants of a digital depression intervention. We discuss technical and clinical limitations of this approach, avenues for future investigations, and how personalised machine learning architectures may be implemented to improve existing digital interventions for depression.
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- 2022
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11. Adversarial joint training with self-attention mechanism for robust end-to-end speech recognition
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Lujun Li, Yikai Kang, Yuchen Shi, Ludwig Kürzinger, Tobias Watzel, and Gerhard Rigoll
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Self-attention mechanism ,Generative adversarial networks ,Speech enhancement ,Robust speech recognition ,Acoustics. Sound ,QC221-246 ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Abstract Lately, the self-attention mechanism has marked a new milestone in the field of automatic speech recognition (ASR). Nevertheless, its performance is susceptible to environmental intrusions as the system predicts the next output symbol depending on the full input sequence and the previous predictions. A popular solution for this problem is adding an independent speech enhancement module as the front-end. Nonetheless, due to being trained separately from the ASR module, the independent enhancement front-end falls into the sub-optimum easily. Besides, the handcrafted loss function of the enhancement module tends to introduce unseen distortions, which even degrade the ASR performance. Inspired by the extensive applications of the generative adversarial networks (GANs) in speech enhancement and ASR tasks, we propose an adversarial joint training framework with the self-attention mechanism to boost the noise robustness of the ASR system. Generally, it consists of a self-attention speech enhancement GAN and a self-attention end-to-end ASR model. There are two advantages which are worth noting in this proposed framework. One is that it benefits from the advancement of both self-attention mechanism and GANs, while the other is that the discriminator of GAN plays the role of the global discriminant network in the stage of the adversarial joint training, which guides the enhancement front-end to capture more compatible structures for the subsequent ASR module and thereby offsets the limitation of the separate training and handcrafted loss functions. With the adversarial joint optimization, the proposed framework is expected to learn more robust representations suitable for the ASR task. We execute systematic experiments on the corpus AISHELL-1, and the experimental results show that on the artificial noisy test set, the proposed framework achieves the relative improvements of 66% compared to the ASR model trained by clean data solely, 35.1% compared to the speech enhancement and ASR scheme without joint training, and 5.3% compared to multi-condition training.
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- 2021
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12. The effects of webcams on German neonatal intensive care units – study protocol of a randomised crossover trial (Neo-CamCare)
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Nadine Scholten, Sebastian Bretthauer, Kerstin Eilermann, Anna Hagemeier, Martin Hellmich, Jan Hoffmann, Dirk Horenkamp-Sonntag, Christiane Jannes, Ludwig Kuntz, Pauline Mantell, Laura Mause, Andreas Müller, Alinda Reimer, Christina Samel, Indra Spiecker genannt Döhmann, Stefanie Wobbe-Ribinski, Christiane Woopen, and Till Dresbach
- Subjects
Neonatal intensive care units ,Webcams ,Preterm ,Health services research ,Parents ,Psychosocial stress ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background The separation of parents and their prematurely born children during care in a neonatal intensive care unit (NICU) can have far-reaching consequences for the well-being of the parents and also of the children. The aim of this study is to evaluate the use of webcams on NICUs and to conduct a systematic assessment of their possible effects on parents and clinical staff. In addition, it aims at determining the need for webcams in German NICUs and to identify possible barriers and moderators. The development and evaluation of practical guidance for the use of webcams will enable the comprehensive education of clinical staff and parents and, as a result, is intended to mitigate any potential undesirable consequences. Methods The study will be based on a mixed methods approach including all groups concerned in the care. Qualitative data will be collected in interviews and focus groups and evaluated using content analysis. The collection of quantitative data will be based on written questionnaires and will aim to assess the status quo as regards the use of webcams on German NICUs and the effects on parents, physicians, and nursing staff. These effects will be assessed in a randomised cross-over design. Four NICUs will be involved in the study and, in total, the parents of 730 premature babies will be invited to take part in the study. The effects on the nursing staff, such as additional workload and interruptions in workflows, will be evaluated on the basis of observation data. Discussion This study will be the largest multicentre study known to us that systematically evaluates the use of webcams in neonatal intensive care units. The effects of the implementation of webcams on both parents and care providers will be considered. The results provide evidence to decide whether to promote the use of webcams on NICUs or not and what to consider when implementing them. Trial registration The trial has been registered at the German Clinical Trial Register (DRKS). Number of registration: DRKS00017755 , date of registration: 25.09.2019,
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- 2021
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13. The Wiretap Channel for Capacitive PUF-Based Security Enclosures
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Kathrin Garb, Marvin Xhemrishi, Ludwig Kürzinger, and Christoph Frisch
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Physical Unclonable Function ,Capacitive Enclosure ,Error Correction ,Wiretap Channel ,Polar Codes ,Physical Layer Security ,Computer engineering. Computer hardware ,TK7885-7895 ,Information technology ,T58.5-58.64 - Abstract
In order to protect devices from physical manipulations, protective security enclosures were developed. However, these battery-backed solutions come with a reduced lifetime, and have to be actively and continuously monitored. In order to overcome these drawbacks, batteryless capacitive enclosures based on Physical Unclonable Functions (PUFs) have been developed that generate a keyencryption-key (KEK) for decryption of the key chain. In order to reproduce the PUF-key reliably and to compensate the effect of noise and environmental influences, the key generation includes error correction codes. However, drilling attacks that aim at partially destroying the enclosure also alter the PUF-response and are subjected to the same error correction procedures. Correcting attack effects, however, is highly undesirable as it would destroy the security concept of the enclosure. In general, designing error correction codes such that they provide tamper-sensitivity to attacks, while still correcting noise and environmental effects is a challenging task. We tackle this problem by first analyzing the behavior of the PUF-response under external influences and different post-processing parameters. From this, we derive a system model of the PUF-based enclosure, and construct a wiretap channel implementation from q-ary polar codes. We verify the obtained error correction scheme in a Monte Carlo simulation and demonstrate that our wiretap channel implementation achieves a physical layer security of 100 bits for 306 bits of entropy for the PUF-secret. Through this, we further develop capacitive PUF-based security enclosures and bring them one step closer to their commercial deployment.
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- 2022
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14. Towards Constructing HMM Structure for Speech Recognition With Deep Neural Fenonic Baseform Growing
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Lujun Li, Tobias Watzel, Ludwig Kurzinger, and Gerhard Rigoll
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Deep neural network ,HMM topology ,speech recognition ,vector quantization ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
For decades, acoustic models in speech recognition systems pivot on Hidden Markov Models (HMMs), e.g., Gaussian Mixture Model-HMM system, Deep Neural Network-HMM system, etc., and achieve remarkable results. However, the popular HMM model is the three-state left-to-right structure, without the superiority certainty. There are multiple studies on the HMM structure’s optimization, but none of them addresses this problem leveraging deep learning algorithms. For the first time, this paper proposes a new training method based on Deep Neural Fenonic Baseform Growing to optimize the HMM structure, which is concisely designed and computationally cheap. Moreover, this data-driven method customizes the HMM structure for each phone precisely without external assumptions concerning the number of states or transition patterns. Experimental results on both TIMIT and TEDliumv2 corpora indicate that the proposed HMM structure improves both the monophone system and the triphone system substantially. Besides, its adoption further improves state-of-the-art speech recognition systems with remarkably reduced parameters.
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- 2021
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15. Catholic Ownership, Physician Leadership and Operational Strategies: Evidence from German Hospitals
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Sandra Sülz, Ludwig Kuntz, Helena Sophie Müller, and Michael Wittland
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healthcare management ,hospital management ,physician leadership ,chief medical officer ,operational strategy ,Medicine - Abstract
Previous research has revealed that Catholic hospitals are more likely follow a strategy of horizontal diversification and maximization of the number of patients treated, whereas Protestant hospitals follow a strategy of horizontal specialization and focus on vertical differentiation. However, there is no empirical evidence pertaining to this mechanism. We conduct an empirical study in a German setting and argue that physician leadership mediates the relationship between ownership and operational strategies. The study includes the construction of a model combining data from a survey and publicly available information derived from the annual quality reports of German hospitals. Our results show that Catholic hospitals opt for leadership structures that ensure operational strategies in line with their general values, i.e., operational strategies of maximizing volume throughout the overall hospital. They prefer part-time positions for chief medical officers, as chief medical officers are identified to foster strategies of maximizing the overall number of patients treated. Hospital owners should be aware that the implementation of part-time and full-time leadership roles can help to support their strategies. Thus, our results provide insights into the relationship between leadership structures at the top of an organization, on the one hand, and strategic choices, on the other.
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- 2022
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16. What matters most and for whom? A cross-sectional study exploring goals of health professionals in German neonatal intensive care units
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Ludwig Kuntz, Anne Mensen, Bernhard Roth, Michael Wittland, Verena Glöckner, and Felix Miedaner
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Medicine - Abstract
Objectives Quality of care largely depends on successful teamwork, which in turn needs effective communication between health professionals. To communicate successfully in a team, health professionals need to strive for the same goals. However, it has been left largely unaddressed which goals professionals consider to be important. In this study, we aim to identify these goals and analyse whether differences between (1) personal and organisational goals, (2) different professions and (3) hierarchical levels exist in neonatal intensive care units (NICUs).Design Goals were identified based on a literature review and a workshop with health professionals and tested in a pilot study. Subsequently, in the main study, a cross-sectional employee survey was undertaken.Setting and participants 1489 nurses and 537 physicians from 66 German NICUs completed the questionnaire regarding personal and organisational goal importance between May and July 2013. Answers were given based on a 7-point Likert scale varying between none and exceptionally high importance.Results Results show that the goals can be subdivided into three main goal dimensions: patients, parents and staff. Furthermore, our results reveal significant differences between different professions and different hierarchical level: physicians rated patient goals with a mean (95% CI) importance of 6.37 (3.32 to 6.43), which is significantly higher than nurses with a mean (95% CI) importance of 6.15 (6.12 to 6.19) (p
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- 2021
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17. Improving regional care in the last year of life by setting up a pragmatic evidence-based Plan–Do–Study–Act cycle: results from a cross-sectional survey
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Lena Ansmann, Holger Pfaff, Ludwig Kuntz, Stephanie Stock, Nadine Scholten, Ute Karbach, Stefanie Hamacher, Raymond Voltz, Christian Albus, Frank Jessen, Christian Rietz, Frank Schulz-Nieswandt, Julia Strupp, Gloria Dust, and Nicolas Schippel
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Medicine - Abstract
Objectives To set up a pragmatic Plan–Do–Study–Act cycle by analysing patient experiences and determinants of satisfaction with care in the last year of life.Design Cross-sectional postbereavement survey.Setting Regional health services research and development structure representing all health and social care providers involved in the last year of life in Cologne, a city with 1 million inhabitants in Germany.Participants 351 bereaved relatives of adult decedents, representative for age and gender, accidental and suspicious deaths excluded.Results For the majority (89%) of patients, home was the main place of care during their last year of life. Nevertheless, 91% of patients had at least one hospital admission and 42% died in hospital. Only 60% of informants reported that the decedent had been told that the disease was leading to death. Hospital physicians broke the news most often (58%), with their communication style often (30%) being rated as ‘not sensitive’. Informants indicated highly positive experiences with care provided by hospices (89% ‘good’) and specialist palliative home care teams (87% ‘good’). This proportion dropped to 41% for acute care hospitals, this rating being determined by the feeling of not being treated with respect and dignity (OR=23.80, 95% CI 7.503 to 75.498) and the impression that hospitals did not work well together with other services (OR=8.37, 95% CI 2.141 to 32.71).Conclusions Following those data, our regional priority for action now is improvement of care in acute hospitals, with two new projects starting, first, how to recognise and communicate a limited life span, and second, how to improve care during the dying phase. Results and further improvement projects will be discussed in a working group with the city of Cologne, and repeating this survey in 2 years will be able to measure regional achievements.Trial registration number DRKS00011925.
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- 2020
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18. Patients’ perspectives of facilitators and barriers to patient-centred care: insights from qualitative patient interviews
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Lena Ansmann, Holger Pfaff, Ingrid Schubert, Kira Isabel Hower, Vera Vennedey, Ludwig Kuntz, Stephanie Stock, Nadine Scholten, Ute Karbach, Raymond Voltz, Hendrik Hillen, Christian Albus, Frank Jessen, Christian Rietz, Frank Schulz-Nieswandt, and Julia Strupp
- Subjects
Medicine - Abstract
Objectives Previous studies on patient-centred care (PCC) and its facilitators and barriers usually considered specific patient groups, healthcare settings and aspects of PCC or focused on expert perspectives. The objective of this study was to analyse patients’ perspectives of facilitators and barriers towards implementing PCC.Design We conducted semistructured individual interviews with chronically ill patients. The interviewees were encouraged to share positive and negative experiences of care and the related facilitators and barriers in all settings including preventive, acute and chronic health issues. Interview data were analysed based on the concept of content analysis.Setting Interviews took place at the University Hospital Cologne, nursing homes, at participants’ homes or by telephone.Participants Any person with at least one chronic illness living in the region of Cologne was eligible for participation. 25 persons with an average age of 60 years participated in the interviews. The participants suffered from various chronic conditions including mental health problems, oncological, metabolic, neurological diseases, but also shared experiences related to acute health issues.Results Participants described facilitators and barriers of PCC on the microlevel (eg, patient–provider interaction), mesolevel (eg, health and social care organisation, HSCO) and macrolevel (eg, laws, financing). In addition to previous concepts, interviewees illustrated the importance of being an active patient by taking individual responsibility for health. Interviewees considered functioning teams and healthy staff members a facilitator of PCC as this can compensate stressful situations or lack of staff to some degree. A lack of transparency in financing and reimbursement was identified as barrier to PCC.Conclusion Individual providers and HSCOs can address many facilitators and barriers of PCC as perceived by patients. Large-scale changes such as reduction of administrative barriers, the expansion of care networks or higher mandatory nurse to patient ratios require political action and incentives.Trial registration number DRKS00011925
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- 2020
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19. Exploring the differential impact of individual and organizational factors on organizational commitment of physicians and nurses
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Felix Miedaner, Ludwig Kuntz, Christian Enke, Bernhard Roth, and Anika Nitzsche
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Organizational commitment ,Work experiences ,Organizational structures ,Occupational group ,Critical care ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Physician and nursing shortages in acute and critical care settings require research on factors which might drive their commitment, an important predictor of absenteeism and turnover. However, the degree to which the commitment of a physician or a nurse is driven by individual or organizational characteristics in hospitals remains unclear. In addition, there is a need for a greater understanding of how antecedent-commitment relationships differ between both occupational groups. Based on recent findings in the literature and the results of a pilot study, we investigate the degree to which selected individual and organizational characteristics might enhance an employee’s affective commitment working in the field of neonatal intensive care. Moreover, our aim is to examine the different antecedent-commitment relationships across the occupational groups of nurses and physicians. Methods Information about individual factors affecting organizational commitment was derived from self-administered staff questionnaires, while additional information about organizational structures was taken from hospital quality reports and a self-administered survey completed by hospital department heads. Overall, 1486 nurses and 540 physicians from 66 Neonatal Intensive Care Units participated in the study. We used multilevel modeling to account for different levels of analysis. Results Although organizational characteristics can explain differences in an employee’s commitment, the differences can be largely explained by his or her individual characteristics and work experiences. Regarding occupational differences, individual support by leaders and colleagues was shown to influence organizational commitment more strongly in the physicians’ group. In contrast, the degree of autonomy in the units and perceived quality of care had a larger impact on the nurses’ organizational commitment. Conclusions With the growing number of hospitals facing an acute shortage of highly-skilled labor, effective strategies on the individual and organizational levels have to be considered to enhance an employee’s commitment to his or her organization. Regarding occupational differences in antecedent-commitment relationships, more specific management actions should be undertaken to correspond to different needs and aspirations of nurses and physicians. Trial registration German Clinical Trials Register (DRKS00004589, date of trial registration: 15.05.2013).
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- 2018
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20. Lightweight End-to-End Speech Enhancement Generative Adversarial Network Using Sinc Convolutions
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Lujun Li, Wudamu, Ludwig Kürzinger, Tobias Watzel, and Gerhard Rigoll
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speech enhancement ,generative adversarial networks ,Sinc convolution ,data augmentation ,raw samples ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
Generative adversarial networks (GANs) have recently garnered significant attention for their use in speech enhancement tasks, in which they generally process and reconstruct speech waveforms directly. Existing GANs for speech enhancement rely solely on the convolution operation, which may not accurately characterize the local information of speech signals—particularly high-frequency components. Sinc convolution has been proposed in order to allow the GAN to learn more meaningful filters in the input layer, and has achieved remarkable success in several speech signal processing tasks. Nevertheless, Sinc convolution for speech enhancement is still an under-explored research direction. This paper proposes Sinc–SEGAN, a novel generative adversarial architecture for speech enhancement, which usefully merges two powerful paradigms: Sinc convolution and the speech enhancement GAN (SEGAN). There are two highlights of the proposed system. First, it works in an end-to-end manner, overcoming the distortion caused by imperfect phase estimation. Second, the system derives a customized filter bank, tuned for the desired application compactly and efficiently. We empirically study the influence of different configurations of Sinc convolution, including the placement of the Sinc convolution layer, length of input signals, number of Sinc filters, and kernel size of Sinc convolution. Moreover, we employ a set of data augmentation techniques in the time domain, which further improve the system performance and its generalization abilities. Compared to competitive baseline systems, Sinc–SEGAN overtakes all of them with drastically reduced system parameters, demonstrating its effectiveness for practical usage, e.g., hearing aid design and cochlear implants. Additionally, data augmentation methods further boost Sinc–SEGAN performance across classic objective evaluation criteria for speech enhancement.
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- 2021
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21. Low-cost limit of classical communication with restricted quantum measurements
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Ludwig Kunz, Marcin Jarzyna, Wojciech Zwoliński, and Konrad Banaszek
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superadditivity ,classical communication ,structured receivers ,low-power limit ,photon-starved communication ,Science ,Physics ,QC1-999 - Abstract
We consider a communication scenario where classical information is encoded in an ensemble of quantum states that admit a power series expansion in a cost parameter and converge to a single zero cost state with vanishing cost. For a given measurement scheme, we derive an approximate expression for mutual information in the leading order of the cost parameter. The general results are applied to selected problems in optical communication, where coherent states of light are used as input symbols and the cost is quantified as the average number of photons per symbol. We show that for an arbitrary individual measurement on phase shift keyed (PSK) symbols, the photon information efficiency is upper bounded by 2 nats of information per photon in the low-cost limit, which coincides with the conventional homodyne detection bound. The presented low-cost approximation facilitates a systematic analysis of few-symbol measurements that exhibit superadditivity of accessible information. For the binary PSK alphabet of coherent states, we present designs for two- and three-symbol measurement schemes based on linear optics, homodyning, and single photon detection that offer respectively 2.49% and 3.40% enhancement relative to individual measurements. We also show how designs for scalable superadditive measurement schemes emerge from the introduced low-cost formalism.
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- 2020
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22. Characterization of a family with rare deletions in CNTNAP5 and DOCK4 suggests novel risk loci for autism and dyslexia
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Wouter G. Staal, Gerd Schulte-Körne, Thomas S. Scerri, Fritz Poustka, Panos Deloukas, Anthony P. Monaco, Roel A. Ophoff, Per Hoffmann, Denise Harold, Anthony J. Bailey, Ernesto Lowy, Kerstin U. Ludwig, Jiannis Ragoussis, Maretha de Jonge, Elena Bacchelli, Michael Conlon O'Donovan, Markus M. Nöthen, Ghazala Mirza, Alistair T. Pagnamenta, Silvia Paracchini, Julie Williams, Elena Maestrini, Andreas G. Chiocchetti, Renske H. Houben, Sabine M. Klauck, Fiorella Minopoli, Jade Chapman, Pagnamenta AT, Bacchelli E, de Jonge MV, Mirza G, Scerri TS, Minopoli F, Chiocchetti A, Ludwig KU, Hoffmann P, Paracchini S, Lowy E, Harold DH, Chapman JA, Klauck SM, Poustka F, Houben RH, Staal WG, Ophoff RA, O'Donovan MC, Williams J, Nöthen MM, Schulte-Körne G, Deloukas P, Ragoussis J, Bailey AJ, Maestrini E, Monaco AP, and International Molecular Genetic Study Of Autism Consortium
- Subjects
Adult ,Male ,Transcription, Genetic ,Cell Adhesion Molecules, Neuronal ,CNV ,CNTNAP5 ,Single-nucleotide polymorphism ,Autistic ,Polymorphism, Single Nucleotide ,Severity of Illness Index ,Dyslexia ,neurexin ,03 medical and health sciences ,0302 clinical medicine ,Reference Values ,mental disorders ,medicine ,SNP ,Missense mutation ,Humans ,Child ,Biological Psychiatry ,030304 developmental biology ,Sequence Deletion ,Genetics ,0303 health sciences ,GTPase-Activating Proteins ,DOCK4 ,DNA ,Middle Aged ,medicine.disease ,Pedigree ,Developmental disorder ,Fusion transcript ,Gene Expression Regulation ,Child Development Disorders, Pervasive ,Case-Control Studies ,Child, Preschool ,Autism ,Female ,Psychology ,030217 neurology & neurosurgery ,SNP array - Abstract
Background: Autism spectrum disorders (ASDs) are characterized by social, communication, and behavioral deficits and complex genetic etiology. A recent study of 517 ASD families implicated DOCK4 by single nucleotide polymorphism (SNP) association and a microdeletion in an affected sibling pair. Methods: The DOCK4 microdeletion on 7q31.1 was further characterized in this family using QuantiSNP analysis of 1M SNP array data and reverse transcription polymerase chain reaction. Extended family members were tested by polymerase chain reaction amplification of junction fragments. DOCK4 dosage was measured in additional samples using SNP arrays. Since QuantiSNP analysis identified a novel CNTNAP5 microdeletion in the same affected sibling pair, this gene was sequenced in 143 additional ASD families. Further polymerase chain reaction-restriction fragment length polymorphism analysis included 380 ASD cases and suitable control subjects. Results: The maternally inherited microdeletion encompassed chr7:110,663,978-111,257,682 and led to a DOCK4-IMMP2L fusion transcript. It was also detected in five extended family members with no ASD. However, six of nine individuals with this microdeletion had poor reading ability, which prompted us to screen 606 other dyslexia cases. This led to the identification of a second DOCK4 microdeletion co-segregating with dyslexia. Assessment of genomic background in the original ASD family detected a paternal 2q14.3 microdeletion disrupting CNTNAP5 that was also transmitted to both affected siblings. Analysis of other ASD cohorts revealed four additional rare missense changes in CNTNAP5. No exonic deletions of DOCK4 or CNTNAP5 were seen in 2091 control subjects. Conclusions: This study highlights two new risk factors for ASD and dyslexia and demonstrates the importance of performing a highresolution assessment of genomic background, even after detection of a rare and likely damaging microdeletion using a targeted approach.
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- 2009
23. Stratified analyses refine association between TLR7 rare variants and severe COVID-19.
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Boos J, van der Made CI, Ramakrishnan G, Coughlan E, Asselta R, Löscher BS, Valenti LVC, de Cid R, Bujanda L, Julià A, Pairo-Castineira E, Baillie JK, May S, Zametica B, Heggemann J, Albillos A, Banales JM, Barretina J, Blay N, Bonfanti P, Buti M, Fernandez J, Marsal S, Prati D, Ronzoni L, Sacchi N, Schultze JL, Riess O, Franke A, Rawlik K, Ellinghaus D, Hoischen A, Schmidt A, and Ludwig KU
- Abstract
Despite extensive global research into genetic predisposition for severe COVID-19, knowledge on the role of rare host genetic variants and their relation to other risk factors remains limited. Here, 52 genes with prior etiological evidence were sequenced in 1,772 severe COVID-19 cases and 5,347 population-based controls from Spain/Italy. Rare deleterious TLR7 variants were present in 2.4% of young (<60 years) cases with no reported clinical risk factors (n = 378), compared to 0.24% of controls (odds ratio [OR] = 12.3, p = 1.27 × 10
-10 ). Incorporation of the results of either functional assays or protein modeling led to a pronounced increase in effect size (ORmax = 46.5, p = 1.74 × 10-15 ). Association signals for the X-chromosomal gene TLR7 were also detected in the female-only subgroup, suggesting the existence of additional mechanisms beyond X-linked recessive inheritance in males. Additionally, supporting evidence was generated for a contribution to severe COVID-19 of the previously implicated genes IFNAR2, IFIH1, and TBK1. Our results refine the genetic contribution of rare TLR7 variants to severe COVID-19 and strengthen evidence for the etiological relevance of genes in the interferon signaling pathway., Competing Interests: Declaration of interests K.U.L. is a co-founder of LAMPseq Diagnostics GmbH., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)- Published
- 2024
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24. Pancreatic cancer acquires resistance to MAPK pathway inhibition by clonal expansion and adaptive DNA hypermethylation.
- Author
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Godfrey LK, Forster J, Liffers ST, Schröder C, Köster J, Henschel L, Ludwig KU, Lähnemann D, Trajkovic-Arsic M, Behrens D, Scarpa A, Lawlor RT, Witzke KE, Sitek B, Johnsen SA, Rahmann S, Horsthemke B, Zeschnigk M, and Siveke JT
- Subjects
- Animals, Mice, DNA Methylation, Proto-Oncogene Proteins p21(ras) genetics, DNA metabolism, Mitogen-Activated Protein Kinase Kinases genetics, Mitogen-Activated Protein Kinase Kinases metabolism, Mitogen-Activated Protein Kinase Kinases therapeutic use, Cell Line, Tumor, Mutation, Pancreatic Neoplasms drug therapy, Pancreatic Neoplasms genetics, Carcinoma, Pancreatic Ductal drug therapy, Carcinoma, Pancreatic Ductal genetics
- Abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with poor prognosis. It is marked by extraordinary resistance to conventional therapies including chemotherapy and radiation, as well as to essentially all targeted therapies evaluated so far. More than 90% of PDAC cases harbor an activating KRAS mutation. As the most common KRAS variants in PDAC remain undruggable so far, it seemed promising to inhibit a downstream target in the MAPK pathway such as MEK1/2, but up to now preclinical and clinical evaluation of MEK inhibitors (MEK
i ) failed due to inherent and acquired resistance mechanisms. To gain insights into molecular changes during the formation of resistance to oncogenic MAPK pathway inhibition, we utilized short-term passaged primary tumor cells from ten PDACs of genetically engineered mice. We followed gain and loss of resistance upon MEKi exposure and withdrawal by longitudinal integrative analysis of whole genome sequencing, whole genome bisulfite sequencing, RNA-sequencing and mass spectrometry data., Results: We found that resistant cell populations under increasing MEKi treatment evolved by the expansion of a single clone but were not a direct consequence of known resistance-conferring mutations. Rather, resistant cells showed adaptive DNA hypermethylation of 209 and hypomethylation of 8 genomic sites, most of which overlap with regulatory elements known to be active in murine PDAC cells. Both DNA methylation changes and MEKi resistance were transient and reversible upon drug withdrawal. Furthermore, MEKi resistance could be reversed by DNA methyltransferase inhibition with remarkable sensitivity exclusively in the resistant cells., Conclusion: Overall, the concept of acquired therapy resistance as a result of the expansion of a single cell clone with epigenetic plasticity sheds light on genetic, epigenetic and phenotypic patterns during evolvement of treatment resistance in a tumor with high adaptive capabilities and provides potential for reversion through epigenetic targeting., (© 2024. The Author(s).)- Published
- 2024
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25. TMPRSS2 isoform 1 downregulation by G-quadruplex stabilization induces SARS-CoV-2 replication arrest.
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De Magis A, Schult P, Schönleber A, Linke R, Ludwig KU, Kümmerer BM, and Paeschke K
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- Humans, Down-Regulation, Protein Isoforms, Exons, Serine Endopeptidases genetics, SARS-CoV-2, COVID-19 genetics
- Abstract
Background: SARS-CoV-2 infection depends on the host cell factors angiotensin-converting enzyme 2, ACE2, and the transmembrane serinprotease 2, TMPRSS2. Potential inhibitors of these proteins would be ideal targets against severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection. Our data opens the possibility that changes within TMPRSS2 can modulate the outcome during a SARS-CoV-2 infection., Results: We reveal that TMPRSS2 acts not only during viral entry but has also an important role during viral replication. In addition to previous functions for TMPRSS2 during viral entry, we determined by specific downregulation of distinct isoforms that only isoform 1 controls and supports viral replication. G-quadruplex (G4) stabilization by chemical compounds impacts TMPRSS2 gene expression. Here we extend and in-depth characterize these observations and identify that a specific G4 in the first exon of the TMPRSS2 isoform 1 is particular targeted by the G4 ligand and affects viral replication. Analysis of potential single nucleotide polymorphisms (SNPs) reveals that a reported SNP at this G4 in isoform 1 destroys the G4 motif and makes TMPRSS2 ineffective towards G4 treatment., Conclusion: These findings uncover a novel mechanism in which G4 stabilization impacts SARS-CoV-2 replication by changing TMPRSS2 isoform 1 gene expression., (© 2023. The Author(s).)
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- 2024
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26. Exome Survey and Candidate Gene Re-Sequencing Identifies Novel Exstrophy Candidate Genes and Implicates LZTR1 in Disease Formation.
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Köllges R, Stegmann J, Schneider S, Waffenschmidt L, Fazaal J, Breuer K, Hilger AC, Dworschak GC, Mingardo E, Rösch W, Hofmann A, Neissner C, Ebert AK, Stein R, Younsi N, Hirsch-Koch K, Schmiedeke E, Zwink N, Jenetzky E, Thiele H, Ludwig KU, and Reutter H
- Subjects
- Male, Humans, Exome genetics, Urinary Bladder metabolism, Calcium-Binding Proteins genetics, Membrane Proteins genetics, Transcription Factors genetics, Transcription Factors metabolism, Bladder Exstrophy genetics, Epispadias genetics
- Abstract
Background: The bladder exstrophy-epispadias complex (BEEC) is a spectrum of congenital abnormalities that involves the abdominal wall, the bony pelvis, the urinary tract, the external genitalia, and, in severe cases, the gastrointestinal tract as well., Methods: Herein, we performed an exome analysis of case-parent trios with cloacal exstrophy (CE), the most severe form of the BEEC. Furthermore, we surveyed the exome of a sib-pair presenting with classic bladder exstrophy (CBE) and epispadias (E) only. Moreover, we performed large-scale re-sequencing of CBE individuals for novel candidate genes that were derived from the current exome analysis, as well as for previously reported candidate genes within the CBE phenocritical region, 22q11.2., Results: The exome survey in the CE case-parent trios identified two candidate genes harboring de novo variants ( NR1H2 , GKAP1 ), four candidate genes with autosomal-recessive biallelic variants ( AKR1B10 , CLSTN3 , NDST4 , PLEKHB1 ) and one candidate gene with suggestive uniparental disomy ( SVEP1 ). However, re-sequencing did not identify any additional variant carriers in these candidate genes. Analysis of the affected sib-pair revealed no candidate gene. Re-sequencing of the genes within the 22q11.2 CBE phenocritical region identified two highly conserved frameshift variants that led to early termination in two independent CBE males, in LZTR1 (c.978_985del, p.Ser327fster6) and in SLC7A4 (c.1087delC, p.Arg363fster68)., Conclusions: According to previous studies, our study further implicates LZTR1 in CBE formation. Exome analysis-derived candidate genes from CE individuals may not represent a frequent indicator for other BEEC phenotypes and warrant molecular analysis before their involvement in disease formation can be assumed.
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- 2023
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27. Predicting the pathogenicity of missense variants using features derived from AlphaFold2.
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Schmidt A, Röner S, Mai K, Klinkhammer H, Kircher M, and Ludwig KU
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- Humans, Virulence, Mutation, Missense, Mutation, Computational Biology, Artificial Intelligence
- Abstract
Motivation: Missense variants are a frequent class of variation within the coding genome, and some of them cause Mendelian diseases. Despite advances in computational prediction, classifying missense variants into pathogenic or benign remains a major challenge in the context of personalized medicine. Recently, the structure of the human proteome was derived with unprecedented accuracy using the artificial intelligence system AlphaFold2. This raises the question of whether AlphaFold2 wild-type structures can improve the accuracy of computational pathogenicity prediction for missense variants., Results: To address this, we first engineered a set of features for each amino acid from these structures. We then trained a random forest to distinguish between relatively common (proxy-benign) and singleton (proxy-pathogenic) missense variants from gnomAD v3.1. This yielded a novel AlphaFold2-based pathogenicity prediction score, termed AlphScore. Important feature classes used by AlphScore are solvent accessibility, amino acid network related features, features describing the physicochemical environment, and AlphaFold2's quality parameter (predicted local distance difference test). AlphScore alone showed lower performance than existing in silico scores used for missense prediction, such as CADD or REVEL. However, when AlphScore was added to those scores, the performance increased, as measured by the approximation of deep mutational scan data, as well as the prediction of expert-curated missense variants from the ClinVar database. Overall, our data indicate that the integration of AlphaFold2-predicted structures can improve pathogenicity prediction of missense variants., Availability and Implementation: AlphScore, combinations of AlphScore with existing scores, as well as variants used for training and testing are publicly available., (© The Author(s) 2023. Published by Oxford University Press.)
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- 2023
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28. Analysis of candidate genes for cleft lip ± cleft palate using murine single-cell expression data.
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Siewert A, Reiz B, Krug C, Heggemann J, Mangold E, Dickten H, and Ludwig KU
- Abstract
Introduction: Cleft lip ± cleft palate (CL/P) is one of the most common birth defects. Although research has identified multiple genetic risk loci for different types of CL/P (i.e., syndromic or non-syndromic forms), determining the respective causal genes and understanding the relevant functional networks remain challenging. The recent introduction of single-cell RNA sequencing (scRNA-seq) has provided novel opportunities to study gene expression patterns at cellular resolution. The aims of our study were to: (i) aggregate available scRNA-seq data from embryonic mice and provide this as a resource for the craniofacial community; and (ii) demonstrate the value of these data in terms of the investigation of the gene expression patterns of CL/P candidate genes. Methods and Results: First, two published scRNA-seq data sets from embryonic mice were re-processed, i.e., data representing the murine time period of craniofacial development: (i) facial data from embryonic day (E) E11.5; and (ii) whole embryo data from E9.5-E13.5 from the Mouse Organogenesis Cell Atlas (MOCA). Marker gene expression analyses demonstrated that at E11.5, the facial data were a high-resolution representation of the MOCA data. Using CL/P candidate gene lists, distinct groups of genes with specific expression patterns were identified. Among others we identified that a co-expression network including Irf6, Grhl3 and Tfap2a in the periderm, while it was limited to Irf6 and Tfap2a in palatal epithelia, cells of the ectodermal surface, and basal cells at the fusion zone. The analyses also demonstrated that additional CL/P candidate genes (e.g., Tpm1, Arid3b, Ctnnd1, and Wnt3 ) were exclusively expressed in Irf6 + facial epithelial cells (i.e., as opposed to Irf6- epithelial cells). The MOCA data set was finally used to investigate differences in expression profiles for candidate genes underlying different types of CL/P. These analyses showed that syndromic CL/P genes (syCL/P) were expressed in significantly more cell types than non-syndromic CL/P candidate genes (nsCL/P). Discussion: The present study illustrates how scRNA-seq data can empower research on craniofacial development and disease., Competing Interests: BR and HD were employed by FASTGenomics (Comma Soft AG). The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Siewert, Reiz, Krug, Heggemann, Mangold, Dickten and Ludwig.)
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- 2023
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29. Identification of de novo variants in nonsyndromic cleft lip with/without cleft palate patients with low polygenic risk scores.
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Ishorst N, Henschel L, Thieme F, Drichel D, Sivalingam S, Mehrem SL, Fechtner AC, Fazaal J, Welzenbach J, Heimbach A, Maj C, Borisov O, Hausen J, Raff R, Hoischen A, Dixon M, Rada-Iglesias A, Bartusel M, Rojas-Martinez A, Aldhorae K, Braumann B, Kruse T, Kirschneck C, Spanier G, Reutter H, Nowak S, Gölz L, Knapp M, Buness A, Krawitz P, Nöthen MM, Nothnagel M, Becker T, Ludwig KU, and Mangold E
- Subjects
- Humans, Genome-Wide Association Study, DNA-Binding Proteins genetics, Risk Factors, Cleft Palate genetics, Cleft Lip genetics
- Abstract
Background: Nonsyndromic cleft lip with/without cleft palate (nsCL/P) is a congenital malformation of multifactorial etiology. Research has identified >40 genome-wide significant risk loci, which explain less than 40% of nsCL/P heritability. Studies show that some of the hidden heritability is explained by rare penetrant variants., Methods: To identify new candidate genes, we searched for highly penetrant de novo variants (DNVs) in 50 nsCL/P patient/parent-trios with a low polygenic risk for the phenotype (discovery). We prioritized DNV-carrying candidate genes from the discovery for resequencing in independent cohorts of 1010 nsCL/P patients of diverse ethnicities and 1574 population-matched controls (replication). Segregation analyses and rare variant association in the replication cohort, in combination with additional data (genome-wide association data, expression, protein-protein-interactions), were used for final prioritization., Conclusion: In the discovery step, 60 DNVs were identified in 60 genes, including a variant in the established nsCL/P risk gene CDH1. Re-sequencing of 32 prioritized genes led to the identification of 373 rare, likely pathogenic variants. Finally, MDN1 and PAXIP1 were prioritized as top candidates. Our findings demonstrate that DNV detection, including polygenic risk score analysis, is a powerful tool for identifying nsCL/P candidate genes, which can also be applied to other multifactorial congenital malformations., (© 2022 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.)
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- 2023
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30. Systematic assays and resources for the functional annotation of non-coding variants.
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Kircher M and Ludwig KU
- Abstract
Identification of genetic variation in individual genomes is now a routine procedure in human genetic research and diagnostics. For many variants, however, insufficient evidence is available to establish a pathogenic effect, particularly for variants in non-coding regions. Furthermore, the sheer number of candidate variants renders testing in individual assays virtually impossible. While scalable approaches are being developed, the selection of methods and resources, and the application of a given framework to a particular disease or trait remain major challenges. This limits the translation of results from both genome-wide association studies and genome sequencing. Here, we discuss computational and experimental approaches available for functional annotation of non-coding variation.
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- 2022
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31. Prioritization of non-coding elements involved in non-syndromic cleft lip with/without cleft palate through genome-wide analysis of de novo mutations.
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Zieger HK, Weinhold L, Schmidt A, Holtgrewe M, Juranek SA, Siewert A, Scheer AB, Thieme F, Mangold E, Ishorst N, Brand FU, Welzenbach J, Beule D, Paeschke K, Krawitz PM, and Ludwig KU
- Subjects
- Humans, Genome-Wide Association Study, Alleles, Mutation genetics, Cleft Palate genetics, Cleft Lip genetics
- Abstract
Non-syndromic cleft lip with/without cleft palate (nsCL/P) is a highly heritable facial disorder. To date, systematic investigations of the contribution of rare variants in non-coding regions to nsCL/P etiology are sparse. Here, we re-analyzed available whole-genome sequence (WGS) data from 211 European case-parent trios with nsCL/P and identified 13,522 de novo mutations (DNMs) in nsCL/P cases, 13,055 of which mapped to non-coding regions. We integrated these data with DNMs from a reference cohort, with results of previous genome-wide association studies (GWASs), and functional and epigenetic datasets of relevance to embryonic facial development. A significant enrichment of nsCL/P DNMs was observed at two GWAS risk loci (4q28.1 (p = 8 × 10
-4 ) and 2p21 (p = 0.02)), suggesting a convergence of both common and rare variants at these loci. We also mapped the DNMs to 810 position weight matrices indicative of transcription factor (TF) binding, and quantified the effect of the allelic changes in silico . This revealed a nominally significant overrepresentation of DNMs (p = 0.037), and a stronger effect on binding strength, for DNMs located in the sequence of the core binding region of the TF Musculin (MSC). Notably, MSC is involved in facial muscle development, together with a set of nsCL/P genes located at GWAS loci. Supported by additional results from single-cell transcriptomic data and molecular binding assays, this suggests that variation in MSC binding sites contributes to nsCL/P etiology. Our study describes a set of approaches that can be applied to increase the added value of WGS data., Competing Interests: The authors declare no competing interests., (© 2022 The Authors.)- Published
- 2022
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32. Functional genomics meets human genetics.
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Ludwig KU and Spielmann M
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- 2022
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33. Detailed stratified GWAS analysis for severe COVID-19 in four European populations.
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Degenhardt F, Ellinghaus D, Juzenas S, Lerga-Jaso J, Wendorff M, Maya-Miles D, Uellendahl-Werth F, ElAbd H, Rühlemann MC, Arora J, Özer O, Lenning OB, Myhre R, Vadla MS, Wacker EM, Wienbrandt L, Blandino Ortiz A, de Salazar A, Garrido Chercoles A, Palom A, Ruiz A, Garcia-Fernandez AE, Blanco-Grau A, Mantovani A, Zanella A, Holten AR, Mayer A, Bandera A, Cherubini A, Protti A, Aghemo A, Gerussi A, Ramirez A, Braun A, Nebel A, Barreira A, Lleo A, Teles A, Kildal AB, Biondi A, Caballero-Garralda A, Ganna A, Gori A, Glück A, Lind A, Tanck A, Hinney A, Carreras Nolla A, Fracanzani AL, Peschuck A, Cavallero A, Dyrhol-Riise AM, Ruello A, Julià A, Muscatello A, Pesenti A, Voza A, Rando-Segura A, Solier A, Schmidt A, Cortes B, Mateos B, Nafria-Jimenez B, Schaefer B, Jensen B, Bellinghausen C, Maj C, Ferrando C, de la Horra C, Quereda C, Skurk C, Thibeault C, Scollo C, Herr C, Spinner CD, Gassner C, Lange C, Hu C, Paccapelo C, Lehmann C, Angelini C, Cappadona C, Azuure C, Bianco C, Cea C, Sancho C, Hoff DAL, Galimberti D, Prati D, Haschka D, Jiménez D, Pestaña D, Toapanta D, Muñiz-Diaz E, Azzolini E, Sandoval E, Binatti E, Scarpini E, Helbig ET, Casalone E, Urrechaga E, Paraboschi EM, Pontali E, Reverter E, Calderón EJ, Navas E, Solligård E, Contro E, Arana-Arri E, Aziz F, Garcia F, García Sánchez F, Ceriotti F, Martinelli-Boneschi F, Peyvandi F, Kurth F, Blasi F, Malvestiti F, Medrano FJ, Mesonero F, Rodriguez-Frias F, Hanses F, Müller F, Hemmrich-Stanisak G, Bellani G, Grasselli G, Pezzoli G, Costantino G, Albano G, Cardamone G, Bellelli G, Citerio G, Foti G, Lamorte G, Matullo G, Baselli G, Kurihara H, Neb H, My I, Kurth I, Hernández I, Pink I, de Rojas I, Galván-Femenia I, Holter JC, Afset JE, Heyckendorf J, Kässens J, Damås JK, Rybniker J, Altmüller J, Ampuero J, Martín J, Erdmann J, Banales JM, Badia JR, Dopazo J, Schneider J, Bergan J, Barretina J, Walter J, Hernández Quero J, Goikoetxea J, Delgado J, Guerrero JM, Fazaal J, Kraft J, Schröder J, Risnes K, Banasik K, Müller KE, Gaede KI, Garcia-Etxebarria K, Tonby K, Heggelund L, Izquierdo-Sanchez L, Bettini LR, Sumoy L, Sander LE, Lippert LJ, Terranova L, Nkambule L, Knopp L, Gustad LT, Garbarino L, Santoro L, Téllez L, Roade L, Ostadreza M, Intxausti M, Kogevinas M, Riveiro-Barciela M, Berger MM, Schaefer M, Niemi MEK, Gutiérrez-Stampa MA, Carrabba M, Figuera Basso ME, Valsecchi MG, Hernandez-Tejero M, Vehreschild MJGT, Manunta M, Acosta-Herrera M, D'Angiò M, Baldini M, Cazzaniga M, Grimsrud MM, Cornberg M, Nöthen MM, Marquié M, Castoldi M, Cordioli M, Cecconi M, D'Amato M, Augustin M, Tomasi M, Boada M, Dreher M, Seilmaier MJ, Joannidis M, Wittig M, Mazzocco M, Ciccarelli M, Rodríguez-Gandía M, Bocciolone M, Miozzo M, Imaz Ayo N, Blay N, Chueca N, Montano N, Braun N, Ludwig N, Marx N, Martínez N, Cornely OA, Witzke O, Palmieri O, Faverio P, Preatoni P, Bonfanti P, Omodei P, Tentorio P, Castro P, Rodrigues PM, España PP, Hoffmann P, Rosenstiel P, Schommers P, Suwalski P, de Pablo R, Ferrer R, Bals R, Gualtierotti R, Gallego-Durán R, Nieto R, Carpani R, Morilla R, Badalamenti S, Haider S, Ciesek S, May S, Bombace S, Marsal S, Pigazzini S, Klein S, Pelusi S, Wilfling S, Bosari S, Volland S, Brunak S, Raychaudhuri S, Schreiber S, Heilmann-Heimbach S, Aliberti S, Ripke S, Dudman S, Wesse T, Zheng T, Bahmer T, Eggermann T, Illig T, Brenner T, Pumarola T, Feldt T, Folseraas T, Gonzalez Cejudo T, Landmesser U, Protzer U, Hehr U, Rimoldi V, Monzani V, Skogen V, Keitel V, Kopfnagel V, Friaza V, Andrade V, Moreno V, Albrecht W, Peter W, Poller W, Farre X, Yi X, Wang X, Khodamoradi Y, Karadeniz Z, Latiano A, Goerg S, Bacher P, Koehler P, Tran F, Zoller H, Schulte EC, Heidecker B, Ludwig KU, Fernández J, Romero-Gómez M, Albillos A, Invernizzi P, Buti M, Duga S, Bujanda L, Hov JR, Lenz TL, Asselta R, de Cid R, Valenti L, Karlsen TH, Cáceres M, and Franke A
- Subjects
- Humans, SARS-CoV-2 genetics, Genome-Wide Association Study, Haplotypes, Polymorphism, Genetic, COVID-19 genetics
- Abstract
Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended genome-wide association meta-analysis of a well-characterized cohort of 3255 COVID-19 patients with respiratory failure and 12 488 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.31 to a ~0.9-Mb inversion polymorphism that creates two highly differentiated haplotypes and characterized the potential effects of the inversion in detail. Our data, together with the 5th release of summary statistics from the COVID-19 Host Genetics Initiative including non-Caucasian individuals, also identified a new locus at 19q13.33, including NAPSA, a gene which is expressed primarily in alveolar cells responsible for gas exchange in the lung., (© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
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- 2022
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34. Novel genes and sex differences in COVID-19 severity.
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Cruz R, Diz-de Almeida S, López de Heredia M, Quintela I, Ceballos FC, Pita G, Lorenzo-Salazar JM, González-Montelongo R, Gago-Domínguez M, Sevilla Porras M, Tenorio Castaño JA, Nevado J, Aguado JM, Aguilar C, Aguilera-Albesa S, Almadana V, Almoguera B, Alvarez N, Andreu-Bernabeu Á, Arana-Arri E, Arango C, Arranz MJ, Artiga MJ, Baptista-Rosas RC, Barreda-Sánchez M, Belhassen-Garcia M, Bezerra JF, Bezerra MAC, Boix-Palop L, Brion M, Brugada R, Bustos M, Calderón EJ, Carbonell C, Castano L, Castelao JE, Conde-Vicente R, Cordero-Lorenzana ML, Cortes-Sanchez JL, Corton M, Darnaude MT, De Martino-Rodríguez A, Del Campo-Pérez V, Diaz de Bustamante A, Domínguez-Garrido E, Luchessi AD, Eiros R, Estigarribia Sanabria GM, Carmen Fariñas M, Fernández-Robelo U, Fernández-Rodríguez A, Fernández-Villa T, Gil-Fournier B, Gómez-Arrue J, González Álvarez B, Gonzalez Bernaldo de Quirós F, González-Peñas J, Gutiérrez-Bautista JF, Herrero MJ, Herrero-Gonzalez A, Jimenez-Sousa MA, Lattig MC, Liger Borja A, Lopez-Rodriguez R, Mancebo E, Martín-López C, Martín V, Martinez-Nieto O, Martinez-Lopez I, Martinez-Resendez MF, Martinez-Perez A, Mazzeu JF, Merayo Macías E, Minguez P, Moreno Cuerda V, Silbiger VN, Oliveira SF, Ortega-Paino E, Parellada M, Paz-Artal E, Santos NPC, Pérez-Matute P, Perez P, Pérez-Tomás ME, Perucho T, Pinsach-Abuin ML, Pompa-Mera EN, Porras-Hurtado GL, Pujol A, Ramiro León S, Resino S, Fernandes MR, Rodríguez-Ruiz E, Rodriguez-Artalejo F, Rodriguez-Garcia JA, Ruiz Cabello F, Ruiz-Hornillos J, Ryan P, Soria JM, Souto JC, Tamayo E, Tamayo-Velasco A, Taracido-Fernandez JC, Teper A, Torres-Tobar L, Urioste M, Valencia-Ramos J, Yáñez Z, Zarate R, Nakanishi T, Pigazzini S, Degenhardt F, Butler-Laporte G, Maya-Miles D, Bujanda L, Bouysran Y, Palom A, Ellinghaus D, Martínez-Bueno M, Rolker S, Amitrano S, Roade L, Fava F, Spinner CD, Prati D, Bernardo D, Garcia F, Darcis G, Fernández-Cadenas I, Holter JC, Banales JM, Frithiof R, Duga S, Asselta R, Pereira AC, Romero-Gómez M, Nafría-Jiménez B, Hov JR, Migeotte I, Renieri A, Planas AM, Ludwig KU, Buti M, Rahmouni S, Alarcón-Riquelme ME, Schulte EC, Franke A, Karlsen TH, Valenti L, Zeberg H, Richards B, Ganna A, Boada M, de Rojas I, Ruiz A, Sánchez-Juan P, Real LM, Guillen-Navarro E, Ayuso C, González-Neira A, Riancho JA, Rojas-Martinez A, Flores C, Lapunzina P, and Carracedo A
- Subjects
- Female, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, Sex Characteristics, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, COVID-19 genetics
- Abstract
Here, we describe the results of a genome-wide study conducted in 11 939 coronavirus disease 2019 (COVID-19) positive cases with an extensive clinical information that were recruited from 34 hospitals across Spain (SCOURGE consortium). In sex-disaggregated genome-wide association studies for COVID-19 hospitalization, genome-wide significance (P < 5 × 10-8) was crossed for variants in 3p21.31 and 21q22.11 loci only among males (P = 1.3 × 10-22 and P = 8.1 × 10-12, respectively), and for variants in 9q21.32 near TLE1 only among females (P = 4.4 × 10-8). In a second phase, results were combined with an independent Spanish cohort (1598 COVID-19 cases and 1068 population controls), revealing in the overall analysis two novel risk loci in 9p13.3 and 19q13.12, with fine-mapping prioritized variants functionally associated with AQP3 (P = 2.7 × 10-8) and ARHGAP33 (P = 1.3 × 10-8), respectively. The meta-analysis of both phases with four European studies stratified by sex from the Host Genetics Initiative (HGI) confirmed the association of the 3p21.31 and 21q22.11 loci predominantly in males and replicated a recently reported variant in 11p13 (ELF5, P = 4.1 × 10-8). Six of the COVID-19 HGI discovered loci were replicated and an HGI-based genetic risk score predicted the severity strata in SCOURGE. We also found more SNP-heritability and larger heritability differences by age (<60 or ≥60 years) among males than among females. Parallel genome-wide screening of inbreeding depression in SCOURGE also showed an effect of homozygosity in COVID-19 hospitalization and severity and this effect was stronger among older males. In summary, new candidate genes for COVID-19 severity and evidence supporting genetic disparities among sexes are provided., (© The Author(s) 2022. Published by Oxford University Press.)
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- 2022
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35. A genome-wide association study with tissue transcriptomics identifies genetic drivers for classic bladder exstrophy.
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Mingardo E, Beaman G, Grote P, Nordenskjöld A, Newman W, Woolf AS, Eckstein M, Hilger AC, Dworschak GC, Rösch W, Ebert AK, Stein R, Brusco A, Di Grazia M, Tamer A, Torres FM, Hernandez JL, Erben P, Maj C, Olmos JM, Riancho JA, Valero C, Hostettler IC, Houlden H, Werring DJ, Schumacher J, Gehlen J, Giel AS, Buerfent BC, Arkani S, Åkesson E, Rotstein E, Ludwig M, Holmdahl G, Giorgio E, Berettini A, Keene D, Cervellione RM, Younsi N, Ortlieb M, Oswald J, Haid B, Promm M, Neissner C, Hirsch K, Stehr M, Schäfer FM, Schmiedeke E, Boemers TM, van Rooij IALM, Feitz WFJ, Marcelis CLM, Lacher M, Nelson J, Ure B, Fortmann C, Gale DP, Chan MMY, Ludwig KU, Nöthen MM, Heilmann S, Zwink N, Jenetzky E, Odermatt B, Knapp M, and Reutter H
- Subjects
- Humans, Animals, Mice, Genome-Wide Association Study, Transcriptome, Ephrin-A1 genetics, Bladder Exstrophy genetics, Bladder Exstrophy complications, Urinary Bladder Neoplasms genetics
- Abstract
Classic bladder exstrophy represents the most severe end of all human congenital anomalies of the kidney and urinary tract and is associated with bladder cancer susceptibility. Previous genetic studies identified one locus to be involved in classic bladder exstrophy, but were limited to a restrict number of cohort. Here we show the largest classic bladder exstrophy genome-wide association analysis to date where we identify eight genome-wide significant loci, seven of which are novel. In these regions reside ten coding and four non-coding genes. Among the coding genes is EFNA1, strongly expressed in mouse embryonic genital tubercle, urethra, and primitive bladder. Re-sequence of EFNA1 in the investigated classic bladder exstrophy cohort of our study displays an enrichment of rare protein altering variants. We show that all coding genes are expressed and/or significantly regulated in both mouse and human embryonic developmental bladder stages. Furthermore, nine of the coding genes residing in the regions of genome-wide significance are differentially expressed in bladder cancers. Our data suggest genetic drivers for classic bladder exstrophy, as well as a possible role for these drivers to relevant bladder cancer susceptibility., (© 2022. The Author(s).)
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- 2022
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36. Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the Host Genetics Initiative.
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Butler-Laporte G, Povysil G, Kosmicki JA, Cirulli ET, Drivas T, Furini S, Saad C, Schmidt A, Olszewski P, Korotko U, Quinodoz M, Çelik E, Kundu K, Walter K, Jung J, Stockwell AD, Sloofman LG, Jordan DM, Thompson RC, Del Valle D, Simons N, Cheng E, Sebra R, Schadt EE, Kim-Schulze S, Gnjatic S, Merad M, Buxbaum JD, Beckmann ND, Charney AW, Przychodzen B, Chang T, Pottinger TD, Shang N, Brand F, Fava F, Mari F, Chwialkowska K, Niemira M, Pula S, Baillie JK, Stuckey A, Salas A, Bello X, Pardo-Seco J, Gómez-Carballa A, Rivero-Calle I, Martinón-Torres F, Ganna A, Karczewski KJ, Veerapen K, Bourgey M, Bourque G, Eveleigh RJ, Forgetta V, Morrison D, Langlais D, Lathrop M, Mooser V, Nakanishi T, Frithiof R, Hultström M, Lipcsey M, Marincevic-Zuniga Y, Nordlund J, Schiabor Barrett KM, Lee W, Bolze A, White S, Riffle S, Tanudjaja F, Sandoval E, Neveux I, Dabe S, Casadei N, Motameny S, Alaamery M, Massadeh S, Aljawini N, Almutairi MS, Arabi YM, Alqahtani SA, Al Harthi FS, Almutairi A, Alqubaishi F, Alotaibi S, Binowayn A, Alsolm EA, El Bardisy H, Fawzy M, Cai F, Soranzo N, Butterworth A, Geschwind DH, Arteaga S, Stephens A, Butte MJ, Boutros PC, Yamaguchi TN, Tao S, Eng S, Sanders T, Tung PJ, Broudy ME, Pan Y, Gonzalez A, Chavan N, Johnson R, Pasaniuc B, Yaspan B, Smieszek S, Rivolta C, Bibert S, Bochud PY, Dabrowski M, Zawadzki P, Sypniewski M, Kaja E, Chariyavilaskul P, Nilaratanakul V, Hirankarn N, Shotelersuk V, Pongpanich M, Phokaew C, Chetruengchai W, Tokunaga K, Sugiyama M, Kawai Y, Hasegawa T, Naito T, Namkoong H, Edahiro R, Kimura A, Ogawa S, Kanai T, Fukunaga K, Okada Y, Imoto S, Miyano S, Mangul S, Abedalthagafi MS, Zeberg H, Grzymski JJ, Washington NL, Ossowski S, Ludwig KU, Schulte EC, Riess O, Moniuszko M, Kwasniewski M, Mbarek H, Ismail SI, Verma A, Goldstein DB, Kiryluk K, Renieri A, Ferreira MAR, and Richards JB
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- Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, Toll-Like Receptor 7 genetics, SARS-CoV-2 genetics, Exome genetics, COVID-19 genetics
- Abstract
Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the largest impact on COVID-19 outcomes are expected to be rare in the population. Hence, studying rare variants may provide additional insights into disease susceptibility and pathogenesis, thereby informing therapeutics development. Here, we combined whole-exome and whole-genome sequencing from 21 cohorts across 12 countries and performed rare variant exome-wide burden analyses for COVID-19 outcomes. In an analysis of 5,085 severe disease cases and 571,737 controls, we observed that carrying a rare deleterious variant in the SARS-CoV-2 sensor toll-like receptor TLR7 (on chromosome X) was associated with a 5.3-fold increase in severe disease (95% CI: 2.75-10.05, p = 5.41x10-7). This association was consistent across sexes. These results further support TLR7 as a genetic determinant of severe disease and suggest that larger studies on rare variants influencing COVID-19 outcomes could provide additional insights., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: Biobanque Québécoise de la Covid-19: Brent Richards’s institution has received investigator-initiated grant funding from Eli Lilly, GlaxoSmithKline and Biogen for projects unrelated to this research. He is the CEO of 5 Prime Sciences Inc (www.5primesciences.com). DeCOI: Oliver Witzke has received research grants for clinical studies, speaker’s fees, honoraria and travel expenses from Amgen, Alexion, Astellas, Basilea, Biotest, Bristol-Myers Squibb, Correvio, Chiesi, Gilead, Hexal, Janssen, Dr. F. Köhler Chemie, MSD, Novartis, Roche, Pfizer, Sanofi, Takeda, TEVA and UCB. Kerstin U. Ludwig is co-founder and holds equity in the LAMPseq Diagnostics GmbH. UP serves as ad hoc advisor for Sanofi-Pasteur, BioNtech and Sobi and is member of the SAB of Leukocare. Christoph D. Spinner reports grants, personal fees from AstraZeneca, personal fees and non-financial support from BBraun Melsungen, grants, personal fees and non-financial support from Gilead Sciences, grants and personal fees from Janssen-Cilag, personal fees from Eli Lilly, personal fees from Formycon, personal fees from Roche, other from Apeiron, grants and personal fees from MSD, grants from Cepheid, personal fees from GSK, personal fees from Molecular partners, other from Eli Lilly, personal fees from SOBI during the conduct of the study; personal fees from AbbVie, personal fees from MSD, grants and personal fees from ViiV Healthcare, outside the submitted work. Jochen Schneider received grants and/or personal fees from Gilead Sciences, Janssen-Cilag, and from AbbVie outside the submitted work. Philipp Koehler reports grants or contracts from German Federal Ministry of Research and Education (BMBF) B-FAST (Bundesweites Forschungsnetz Angewandte Surveillance und Testung) and NAPKON (Nationales Pandemie Kohorten Netz, German National Pandemic Cohort Network) of the Network University Medicine (NUM) and the State of North Rhine-Westphalia; Consulting fees Ambu GmbH, Gilead Sciences, Mundipharma Resarch Limited, Noxxon N.V. and Pfizer Pharma; Honoraria for lectures from Akademie für Infektionsmedizin e.V., Ambu GmbH, Astellas Pharma, BioRad Laboratories Inc., European Confederation of Medical Mycology, Gilead Sciences, GPR Academy Ruesselsheim, medupdate GmbH, MedMedia, MSD Sharp & Dohme GmbH, Pfizer Pharma GmbH, Scilink Comunicación Científica SC and University Hospital and LMU Munich; Participation on an Advisory Board from Ambu GmbH, Gilead Sciences, Mundipharma Resarch Limited and Pfizer Pharma; A pending patent currently reviewed at the German Patent and Trade Mark Office; Other non-financial interests from Elsevier, Wiley and Taylor & Francis online outside the submitted work. Oliver A. Cornely reports grants or contracts from Amplyx, Basilea, BMBF, Cidara, DZIF, EU-DG RTD (101037867), F2G, Gilead, Matinas, MedPace, MSD, Mundipharma, Octapharma, Pfizer, Scynexis; Consulting fees from Amplyx, Biocon, Biosys, Cidara, Da Volterra, Gilead, Matinas, MedPace, Menarini, Molecular Partners, MSG-ERC, Noxxon, Octapharma, PSI, Scynexis, Seres; Honoraria for lectures from Abbott, Al-Jazeera Pharmaceuticals, Astellas, Grupo Biotoscana/United Medical/Knight, Hikma, MedScape, MedUpdate, Merck/MSD, Mylan, Pfizer; Payment for expert testimony from Cidara; Participation on a Data Safety Monitoring Board or Advisory Board from Actelion, Allecra, Cidara, Entasis, IQVIA, Jannsen, MedPace, Paratek, PSI, Shionogi; A patent at the German Patent and Trade Mark Office (DE 10 2021 113 007.7); Other interests from DGHO, DGI, ECMM, ISHAM, MSG-ERC, Wiley. Genentech: Amy D Stockwell, Fang Cai, and Brian L Yaspan are, or were at the execution of the study, full time employees of Genentech with stock and stock options in Roche. Helix Exome+ and Healthy Nevada Project COVID-19 Phenotypes: Alexandre Bolze, Kelly M Schiabor Barrett, Simon White, Nicole L Washington, Francisco Tanudjaja, Stephen Riffle, Efren Sandoval, and Elizabeth T Cirulli are employees of Helix. Regeneron: Jack A Kosmicki and Manuel AR Ferreira are current employees and/or stockholders of Regeneron Genetics Center or Regeneron Pharmaceuticals. Vanda CALYPSO COVID-19: Bartlomiej Przychodzen and Sandra Smieszek are employees of Vanda Pharmaceuticals Inc.
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- 2022
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37. Author Correction: LAMP-Seq enables sensitive, multiplexed COVID-19 diagnostics using molecular barcoding.
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Ludwig KU, Schmithausen RM, Li D, Jacobs ML, Hollstein R, Blumenstock K, Liebing J, Słabicki M, Ben-Shmuel A, Israeli O, Weiss S, Ebert TS, Paran N, Rüdiger W, Wilbring G, Feldman D, Lippke B, Ishorst N, Hochfeld LM, Beins EC, Kaltheuner IH, Schmitz M, Wöhler A, Döhla M, Sib E, Jentzsch M, Moench EC, Borrajo JD, Strecker J, Reinhardt J, Cleary B, Geyer M, Hölzel M, Macrae R, Nöthen MM, Hoffmann P, Exner M, Regev A, Zhang F, and Schmid-Burgk JL
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- 2022
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38. Molecular Genetic Screening in Patients With ACE Inhibitor/Angiotensin Receptor Blocker-Induced Angioedema to Explore the Role of Hereditary Angioedema Genes.
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Mathey CM, Maj C, Scheer AB, Fazaal J, Wedi B, Wieczorek D, Amann PM, Löffler H, Koch L, Schöffl C, Dickel H, Ganjuur N, Hornung T, Forkel S, Greve J, Wurpts G, Hallberg P, Bygum A, Von Buchwald C, Karawajczyk M, Steffens M, Stingl J, Hoffmann P, Heilmann-Heimbach S, Mangold E, Ludwig KU, Rasmussen ER, Wadelius M, Sachs B, Nöthen MM, and Forstner AJ
- Abstract
Angioedema is a relatively rare but potentially life-threatening adverse reaction to angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARBs). As with hereditary forms of angioedema (HAE), this adverse reaction is mediated by bradykinin. Research suggests that ACEi/ARB-induced angioedema has a multifactorial etiology. In addition, recent case reports suggest that some ACEi/ARB-induced angioedema patients may carry pathogenic HAE variants. The aim of the present study was to investigate the possible association between ACEi/ARB-induced angioedema and HAE genes via systematic molecular genetic screening in a large cohort of ACEi/ARB-induced angioedema cases. Targeted re-sequencing of five HAE-associated genes ( SERPING1 , F12 , PLG , ANGPT1 , and KNG1 ) was performed in 212 ACEi/ARB-induced angioedema patients recruited in Germany/Austria, Sweden, and Denmark, and in 352 controls from a German cohort. Among patients, none of the identified variants represented a known pathogenic variant for HAE. Moreover, no significant association with ACEi/ARB-induced angioedema was found for any of the identified common [minor allele frequency (MAF) >5%] or rare (MAF < 5%) variants. However, several non-significant trends suggestive of possible protective effects were observed. The lowest p -value for an individual variant was found in PLG (rs4252129, p.R523W, p = 0.057, p .adjust > 0.999, Fisher's exact test). Variant p.R523W was found exclusively in controls and has previously been associated with decreased levels of plasminogen, a precursor of plasmin which is part of a pathway directly involved in bradykinin production. In addition, rare, potentially functional variants (MAF < 5%, Phred-scaled combined annotation dependent depletion score >10) showed a nominally significant enrichment in controls both: 1) across all five genes; and 2) in the F12 gene alone. However, these results did not withstand correction for multiple testing. In conclusion, our results suggest that HAE-associated mutations are, at best, a rare cause of ACEi/ARB-induced angioedema. Furthermore, we were unable to identify a significant association between ACEi/ARB-induced angioedema and other variants in the investigated genes. Further studies with larger sample sizes are warranted to draw more definite conclusions concerning variants with limited effect sizes, including protective variants., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Mathey, Maj, Scheer, Fazaal, Wedi, Wieczorek, Amann, Löffler, Koch, Schöffl, Dickel, Ganjuur, Hornung, Forkel, Greve, Wurpts, Hallberg, Bygum, Von Buchwald, Karawajczyk, Steffens, Stingl, Hoffmann, Heilmann-Heimbach, Mangold, Ludwig, Rasmussen, Wadelius, Sachs, Nöthen and Forstner.)
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39. Re-sequencing of candidate genes FOXF1, HSPA6, HAAO, and KYNU in 522 individuals with VATER/VACTERL, VACTER/VACTERL-like association, and isolated anorectal malformation.
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Thiem CE, Stegmann JD, Hilger AC, Waffenschmidt L, Bendixen C, Köllges R, Schmiedeke E, Schäfer FM, Lacher M, Kosch F, Grasshoff-Derr S, Kabs C, Neser J, Jenetzky E, Fazaal J, Schumacher J, Hoefele J, Ludwig KU, and Reutter H
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- Anal Canal abnormalities, Esophagus abnormalities, Heart Defects, Congenital genetics, Humans, Kidney abnormalities, Spine abnormalities, Trachea abnormalities, 3-Hydroxyanthranilate 3,4-Dioxygenase genetics, Anorectal Malformations genetics, Forkhead Transcription Factors genetics, HSP90 Heat-Shock Proteins genetics, Limb Deformities, Congenital genetics
- Abstract
Background: The acronym VATER/VACTERL association describes the combination of at least three component features (CFs): vertebral defects (V), anorectal malformations (ARM) (A), cardiac defects (C), tracheoesophageal fistula with or without esophageal atresia (TE), renal malformations (R), and limb defects (L). Individuals presenting two CFs have been termed VATER/VACTERL-like. Recently, FOXF1, HSPA6, HAAO, KYNU, TRAP1, and ZIC3 have been proposed as candidate genes for VATER/VACTERL, VATER/VACTERL-like, and ARM. Re-sequencing studies identified disease-causing variants in TRAP1 and ZIC3, the contribution of other genes was not independently investigated. One affected variant carrier in FOXF1 was previously identified. Here we re-sequenced FOXF1, HSPA6, HAAO, and KYNU in 522 affected individuals., Methods: Using molecular inversion probe (MIP) technology, re-sequencing was performed in 63 individuals with VATER/VACTERL association, 313 with VATER/VACTERL-like association, and 146 with ARM. All individuals were of European ethnicity. Variant filtering considered variants with a minor allele frequency (MAF) ≤0.01 for putative recessive disease-genes HSPA6, HAAO, and KYNU. For the putative dominant disease-gene FOXF1 we considered variants with a MAF ≤0.0001. In silico prediction tools were used for further prioritization., Results: Only two variants in FOXF1 in two independently affected individuals [c.443G>T, p.(Cys148Phe); c.850T>C, p.(Tyr284His)] passed our filter criteria. One individual presented with ARM, the second presented with TE and C comprising atrial and ventricular septal defects. Sanger sequencing confirmed both variants but also their inheritance from the healthy mother., Conclusion: Our analysis suggests that FOXF1, HSPA6, HAAO and KYNU do not play a major role in the formation of VACTER/VACTERL phenotypes or ARM., (© 2022 The Authors. Birth Defects Research published by Wiley Periodicals LLC.)
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40. Resequencing of VEGFR3 pathway genes implicate GJC2 and FLT4 in the formation of primary congenital chylothorax.
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Schneider S, Köllges R, Stegmann JD, Thieme F, Hilger AC, Waffenschmidt L, Fazaal J, Kalanithy JC, Geipel A, Strizek B, Ludwig KU, Reutter H, and Müller A
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- Connexins, Humans, Sequence Analysis, DNA, Vascular Endothelial Growth Factor Receptor-3 genetics, Chylothorax congenital, Chylothorax genetics
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- 2022
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41. MiRNA-149 as a Candidate for Facial Clefting and Neural Crest Cell Migration.
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Stüssel LG, Hollstein R, Laugsch M, Hochfeld LM, Welzenbach J, Schröder J, Thieme F, Ishorst N, Romero RO, Weinhold L, Hess T, Gehlen J, Mostowska A, Heilmann-Heimbach S, Mangold E, Rada-Iglesias A, Knapp M, Schaaf CP, and Ludwig KU
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- Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Neural Crest, Polymorphism, Single Nucleotide, Cleft Lip genetics, Cleft Palate genetics, MicroRNAs genetics
- Abstract
Nonsyndromic cleft lip with or without palate (nsCL/P) ranks among the most common human birth defects and has a multifactorial etiology. Human neural crest cells (hNCC) make a substantial contribution to the formation of facial bone and cartilage and are a key cell type in terms of nsCL/P etiology. Based on increasing evidence for the role of noncoding regulatory mechanisms in nsCL/P, we investigated the role of hNCC-expressed microRNAs (miRNA) in cleft development. First, we conducted a systematic analysis of miRNAs expressed in human-induced pluripotent stem cell-derived hNCC using Affymetrix microarrays on cell lines established from 4 unaffected donors. These analyses identified 152 candidate miRNAs. Based on the hypothesis that candidate miRNA loci harbor genetic variation associated with nsCL/P risk, the genomic locations of these candidates were cross-referenced with data from a previous genome-wide association study of nsCL/P. Associated variants were reanalyzed in independent nsCL/P study populations. Jointly, the results suggest that miR-149 is implicated in nsCL/P etiology. Second, functional follow-up included in vitro overexpression and inhibition of miR-149 in hNCC and subsequent analyses at the molecular and phenotypic level. Using 3'RNA-Seq, we identified 604 differentially expressed (DE) genes in hNCC overexpressing miR-149 compared with untreated cells. These included TLR4 and JUNB , which are established targets of miR-149, and NOG , BMP4 , and PAX6 , which are reported nsCL/P candidate genes. Pathway analyses revealed that DE genes were enriched in pathways including regulation of cartilage development and NCC differentiation. At the cellular level, distinct hNCC migration patterns were observed in response to miR-149 overexpression. Our data suggest that miR-149 is involved in the etiology of nsCL/P via its role in hNCC migration.
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- 2022
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42. Genetic Predisposition and the Variable Course of Infectious Diseases.
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Schmidt A, Groh AM, Frick JS, Vehreschild MJGT, and Ludwig KU
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- Genetic Predisposition to Disease genetics, Humans, Male, Middle Aged, COVID-19 genetics, HIV Infections genetics, Mycobacterium tuberculosis, Tuberculosis genetics
- Abstract
Background: Contact with a pathogen is followed by variable courses of infectious disease, which are only partly explicable by classical risk factors. The susceptibility to infection is variable, as is the course of disease after infection. In this review, we discuss the extent to which this variation is due to genetic factors of the affected individual (the host)., Methods: Selective review of the literature on host genetics in infectious disease, with special attention to the pathogens SARSCoV- 2, influenza viruses, Mycobacterium tuberculosis, and human immunodeficiency virus (HIV)., Results: Genetic variants of the host contribute to the pathogenesis of infectious diseases. For example, in HIV infection, a relatively common variant leading to a loss of function of the HIV co-receptor CCR5 affects the course of the disease, as do variants in genes of the major histocompatibility complex (MHC) region. Rare monogenic variants of the interferon immune response system contribute to severe disease courses in COVID-19 and influenza (type I interferon in these two cases) and in tuberculosis (type II interferon). An estimated 1.8% of life-threatening courses of COVID-19 in men under age 60 are caused by a deficiency of toll-like receptor 7. The scientific understanding of host genetic factors has already been beneficial to the development of effective drugs. In a small number of cases, genetic information has also been used for individual therapeutic decision-making and for the identification of persons at elevated risk., Conclusion: A comprehensive understanding of host genetics can improve the care of patients with infectious diseases. Until the present, the clinical utility of host genetics has been limited to rare cases; in the future, polygenic risk scores summarizing the relevant genetic variants in each patient will enable a wider benefit. To make this possible, multicenter studies are needed that will systematically integrate clinical and genetic data.
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- 2022
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43. Allele-specific transcription factor binding in a cellular model of orofacial clefting.
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Ruff KLM, Hollstein R, Fazaal J, Thieme F, Gehlen J, Mangold E, Knapp M, Welzenbach J, and Ludwig KU
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- Alleles, Binding Sites, Cell Line, Chromatin Immunoprecipitation Sequencing, Cleft Lip metabolism, Cleft Palate metabolism, Gene Expression Regulation, Developmental, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Protein Binding, RNA-Seq, Transcription Factor AP-2 metabolism, Transcriptome, Cleft Lip genetics, Cleft Palate genetics, Human Embryonic Stem Cells metabolism, Mesenchymal Stem Cells metabolism, Transcription Factor AP-2 genetics
- Abstract
Non-syndromic cleft lip with/without cleft palate (nsCL/P) is a frequent congenital malformation with multifactorial etiology. While recent genome-wide association studies (GWAS) have identified several nsCL/P risk loci, the functional effects of the associated non-coding variants are largely unknown. Furthermore, additional risk loci remain undetected due to lack of power. As genetic variants might alter binding of transcription factors (TF), we here hypothesized that the integration of data from TF binding sites, expression analyses and nsCL/P GWAS might help to (i) identify functionally relevant variants at GWAS loci, and (ii) highlight novel risk variants that have been previously undetected. Analysing the craniofacial TF TFAP2A in human embryonic palatal mesenchyme (HEPM) cells, we identified 2845 TFAP2A ChIP-seq peaks, several of which were located near nsCL/P candidate genes (e.g. MSX1 and SPRY2). Comparison with independent data suggest that 802 of them might be specific to craniofacial development, and genes near these peaks are enriched in processes relevant to nsCL/P. Integration with nsCL/P GWAS data, however, did not show robust evidence for co-localization of common nsCL/P risk variants with TFAP2A ChIP-seq peaks. This data set represents a new resource for the analyses of craniofacial processes, and similar approaches with additional cell lines and TFs could be applied to generate further insights into nsCL/P etiology., (© 2022. The Author(s).)
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- 2022
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44. First genome-wide association study of esophageal atresia identifies three genetic risk loci at CTNNA3 , FOXF1 / FOXC2 / FOXL1 , and HNF1B .
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Gehlen J, Giel AS, Köllges R, Haas SL, Zhang R, Trcka J, Sungur AÖ, Renziehausen F, Bornholdt D, Jung D, Hoyer PD, Nordenskjöld A, Tibboel D, Vlot J, Spaander MCW, Smigiel R, Patkowski D, Roeleveld N, van Rooij IA, de Blaauw I, Hölscher A, Pauly M, Leutner A, Fuchs J, Niethammer J, Melissari MT, Jenetzky E, Zwink N, Thiele H, Hilger AC, Hess T, Trautmann J, Marks M, Baumgarten M, Bläss G, Landén M, Fundin B, Bulik CM, Pennimpede T, Ludwig M, Ludwig KU, Mangold E, Heilmann-Heimbach S, Moebus S, Herrmann BG, Alsabeah K, Burgos CM, Lilja HE, Azodi S, Stenström P, Arnbjörnsson E, Frybova B, Lebensztejn DM, Debek W, Kolodziejczyk E, Kozera K, Kierkus J, Kaliciński P, Stefanowicz M, Socha-Banasiak A, Kolejwa M, Piaseczna-Piotrowska A, Czkwianianc E, Nöthen MM, Grote P, Rygl M, Reinshagen K, Spychalski N, Ludwikowski B, Hubertus J, Heydweiller A, Ure B, Muensterer OJ, Aubert O, Gosemann JH, Lacher M, Degenhardt P, Boemers TM, Mokrowiecka A, Małecka-Panas E, Wöhr M, Knapp M, Seitz G, de Klein A, Oracz G, Brosens E, Reutter H, and Schumacher J
- Abstract
Esophageal atresia with or without tracheoesophageal fistula (EA/TEF) is the most common congenital malformation of the upper digestive tract. This study represents the first genome-wide association study (GWAS) to identify risk loci for EA/TEF. We used a European case-control sample comprising 764 EA/TEF patients and 5,778 controls and observed genome-wide significant associations at three loci. On chromosome 10q21 within the gene CTNNA3 (p = 2.11 × 10
-8 ; odds ratio [OR] = 3.94; 95% confidence interval [CI], 3.10-5.00), on chromosome 16q24 next to the FOX gene cluster (p = 2.25 × 10-10 ; OR = 1.47; 95% CI, 1.38-1.55) and on chromosome 17q12 next to the gene HNF1B (p = 3.35 × 10-16 ; OR = 1.75; 95% CI, 1.64-1.87). We next carried out an esophageal/tracheal transcriptome profiling in rat embryos at four selected embryonic time points. Based on these data and on already published data, the implicated genes at all three GWAS loci are promising candidates for EA/TEF development. We also analyzed the genetic EA/TEF architecture beyond the single marker level, which revealed an estimated single-nucleotide polymorphism (SNP)-based heritability of around 37% ± 14% standard deviation. In addition, we examined the polygenicity of EA/TEF and found that EA/TEF is less polygenic than other complex genetic diseases. In conclusion, the results of our study contribute to a better understanding on the underlying genetic architecture of ET/TEF with the identification of three risk loci and candidate genes., Competing Interests: The co-author C.M.B. declares the following interests: Shire (grant recipient, Scientific Advisory Board member), Idorsia (consultant), Lundbeckfonden (grant recipient), Pearson (author, royalty recipient), and Equip Health Inc. (Clinical Advisory Board). All other co-authors declare no competing interests., (© 2022 The Authors.)- Published
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45. Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity.
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Fallerini C, Picchiotti N, Baldassarri M, Zguro K, Daga S, Fava F, Benetti E, Amitrano S, Bruttini M, Palmieri M, Croci S, Lista M, Beligni G, Valentino F, Meloni I, Tanfoni M, Minnai F, Colombo F, Cabri E, Fratelli M, Gabbi C, Mantovani S, Frullanti E, Gori M, Crawley FP, Butler-Laporte G, Richards B, Zeberg H, Lipcsey M, Hultström M, Ludwig KU, Schulte EC, Pairo-Castineira E, Baillie JK, Schmidt A, Frithiof R, Mari F, Renieri A, and Furini S
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- Adult, Aged, Aged, 80 and over, Cohort Studies, Female, Germany, Humans, Italy, Male, Middle Aged, Polymorphism, Single Nucleotide, Quebec, SARS-CoV-2, Sweden, United Kingdom, COVID-19 genetics, COVID-19 physiopathology, Genetic Predisposition to Disease, Phenotype, Severity of Illness Index, Exome Sequencing
- Abstract
The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the presence of variants in each gene. An ensemble of LASSO logistic regression models was used to identify the most informative Boolean features with respect to the genetic bases of severity. The Boolean features selected by these logistic models were combined into an Integrated PolyGenic Score that offers a synthetic and interpretable index for describing the contribution of host genetics in COVID-19 severity, as demonstrated through testing in several independent cohorts. Selected features belong to ultra-rare, rare, low-frequency, and common variants, including those in linkage disequilibrium with known GWAS loci. Noteworthily, around one quarter of the selected genes are sex-specific. Pathway analysis of the selected genes associated with COVID-19 severity reflected the multi-organ nature of the disease. The proposed model might provide useful information for developing diagnostics and therapeutics, while also being able to guide bedside disease management., (© 2021. The Author(s).)
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- 2022
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46. Age-dependent impact of the major common genetic risk factor for COVID-19 on severity and mortality.
- Author
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Nakanishi T, Pigazzini S, Degenhardt F, Cordioli M, Butler-Laporte G, Maya-Miles D, Bujanda L, Bouysran Y, Niemi ME, Palom A, Ellinghaus D, Khan A, Martínez-Bueno M, Rolker S, Amitrano S, Roade Tato L, Fava F, Spinner CD, Prati D, Bernardo D, Garcia F, Darcis G, Fernández-Cadenas I, Holter JC, Banales JM, Frithiof R, Kiryluk K, Duga S, Asselta R, Pereira AC, Romero-Gómez M, Nafría-Jiménez B, Hov JR, Migeotte I, Renieri A, Planas AM, Ludwig KU, Buti M, Rahmouni S, Alarcón-Riquelme ME, Schulte EC, Franke A, Karlsen TH, Valenti L, Zeberg H, Richards JB, and Ganna A
- Subjects
- Age Factors, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Patient Acuity, Risk Factors, Alleles, COVID-19 genetics, COVID-19 mortality, Chromosomes, Human, Pair 3 genetics, Gene Frequency, Genetic Loci, Polymorphism, Genetic, SARS-CoV-2
- Abstract
BackgroundThere is considerable variability in COVID-19 outcomes among younger adults, and some of this variation may be due to genetic predisposition.MethodsWe combined individual level data from 13,888 COVID-19 patients (n = 7185 hospitalized) from 17 cohorts in 9 countries to assess the association of the major common COVID-19 genetic risk factor (chromosome 3 locus tagged by rs10490770) with mortality, COVID-19-related complications, and laboratory values. We next performed metaanalyses using FinnGen and the Columbia University COVID-19 Biobank.ResultsWe found that rs10490770 risk allele carriers experienced an increased risk of all-cause mortality (HR, 1.4; 95% CI, 1.2-1.7). Risk allele carriers had increased odds of several COVID-19 complications: severe respiratory failure (OR, 2.1; 95% CI, 1.6-2.6), venous thromboembolism (OR, 1.7; 95% CI, 1.2-2.4), and hepatic injury (OR, 1.5; 95% CI, 1.2-2.0). Risk allele carriers age 60 years and younger had higher odds of death or severe respiratory failure (OR, 2.7; 95% CI, 1.8-3.9) compared with those of more than 60 years (OR, 1.5; 95% CI, 1.2-1.8; interaction, P = 0.038). Among individuals 60 years and younger who died or experienced severe respiratory failure, 32.3% were risk-variant carriers compared with 13.9% of those not experiencing these outcomes. This risk variant improved the prediction of death or severe respiratory failure similarly to, or better than, most established clinical risk factors.ConclusionsThe major common COVID-19 genetic risk factor is associated with increased risks of morbidity and mortality, which are more pronounced among individuals 60 years or younger. The effect was similar in magnitude and more common than most established clinical risk factors, suggesting potential implications for future clinical risk management.
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- 2021
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47. LAMP-Seq enables sensitive, multiplexed COVID-19 diagnostics using molecular barcoding.
- Author
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Ludwig KU, Schmithausen RM, Li D, Jacobs ML, Hollstein R, Blumenstock K, Liebing J, Słabicki M, Ben-Shmuel A, Israeli O, Weiss S, Ebert TS, Paran N, Rüdiger W, Wilbring G, Feldman D, Lippke B, Ishorst N, Hochfeld LM, Beins EC, Kaltheuner IH, Schmitz M, Wöhler A, Döhla M, Sib E, Jentzsch M, Moench EC, Borrajo JD, Strecker J, Reinhardt J, Cleary B, Geyer M, Hölzel M, Macrae R, Nöthen MM, Hoffmann P, Exner M, Regev A, Zhang F, and Schmid-Burgk JL
- Subjects
- Humans, COVID-19 diagnosis, COVID-19 Testing methods, Molecular Diagnostic Techniques methods, Nucleic Acid Amplification Techniques methods
- Abstract
Frequent testing of large population groups combined with contact tracing and isolation measures will be crucial for containing Coronavirus Disease 2019 outbreaks. Here we present LAMP-Seq, a modified, highly scalable reverse transcription loop-mediated isothermal amplification (RT-LAMP) method. Unpurified biosamples are barcoded and amplified in a single heat step, and pooled products are analyzed en masse by sequencing. Using commercial reagents, LAMP-Seq has a limit of detection of ~2.2 molecules per µl at 95% confidence and near-perfect specificity for severe acute respiratory syndrome coronavirus 2 given its sequence readout. Clinical validation of an open-source protocol with 676 swab samples, 98 of which were deemed positive by standard RT-qPCR, demonstrated 100% sensitivity in individuals with cycle threshold values of up to 33 and a specificity of 99.7%, at a very low material cost. With a time-to-result of fewer than 24 h, low cost and little new infrastructure requirement, LAMP-Seq can be readily deployed for frequent testing as part of an integrated public health surveillance program., (© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc.)
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- 2021
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48. Iron Deficiency Caused by Intestinal Iron Loss-Novel Candidate Genes for Severe Anemia.
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Huettmann C, Stelljes M, Sivalingam S, Fobker M, Vrachimis A, Exler A, Wenning C, Wempe C, Penke M, Buness A, Ludwig KU, Muckenthaler MU, and Steinbicker AU
- Subjects
- Aged, Aged, 80 and over, Anemia, Iron-Deficiency blood, Erythropoiesis genetics, Female, Genetic Variation genetics, Humans, Iron blood, Iron metabolism, Iron urine, Male, Middle Aged, Mutation genetics, Anemia, Iron-Deficiency etiology, Anemia, Iron-Deficiency genetics, Gastrointestinal Tract metabolism, Hemorrhage complications, Hemorrhage genetics, Iron Deficiencies etiology, Iron Deficiencies genetics
- Abstract
The adult human body contains about 4 g of iron. About 1-2 mg of iron is absorbed every day, and in healthy individuals, the same amount is excreted. We describe a patient who presents with severe iron deficiency anemia with hemoglobin levels below 6 g/dL and ferritin levels below 30 ng/mL. Although red blood cell concentrates and intravenous iron have been substituted every month for years, body iron stores remain depleted. Diagnostics have included several esophago-gastro-duodenoscopies, colonoscopies, MRI of the liver, repetitive bone marrow biopsies, psychological analysis, application of radioactive iron to determine intact erythropoiesis, and measurement of iron excretion in urine and feces. Typically, gastrointestinal bleeding is a major cause of iron loss. Surprisingly, intestinal iron excretion in stool in the patient was repetitively increased, without gastrointestinal bleeding. Furthermore, whole exome sequencing was performed in the patient and additional family members to identify potential causative genetic variants that may cause intestinal iron loss. Under different inheritance models, several rare mutations were identified, two of which (in CISD1 and KRI1 ) are likely to be functionally relevant. Intestinal iron loss in the current form has not yet been described and is, with high probability, the cause of the severe iron deficiency anemia in this patient.
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- 2021
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49. Extending the allelic spectrum at noncoding risk loci of orofacial clefting.
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Thieme F, Henschel L, Hammond NL, Ishorst N, Hausen J, Adamson AD, Biedermann A, Bowes J, Zieger HK, Maj C, Kruse T, Buness A, Hoischen A, Gilissen C, Kreusch T, Jäger A, Gölz L, Braumann B, Aldhorae K, Rojas-Martinez A, Krawitz PM, Mangold E, Dixon MJ, and Ludwig KU
- Subjects
- Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Cleft Lip genetics, Cleft Palate genetics
- Abstract
Genome-wide association studies (GWAS) have generated unprecedented insights into the genetic etiology of orofacial clefting (OFC). The moderate effect sizes of associated noncoding risk variants and limited access to disease-relevant tissue represent considerable challenges for biological interpretation of genetic findings. As rare variants with stronger effect sizes are likely to also contribute to OFC, an alternative approach to delineate pathogenic mechanisms is to identify private mutations and/or an increased burden of rare variants in associated regions. This report describes a framework for targeted resequencing at selected noncoding risk loci contributing to nonsyndromic cleft lip with/without cleft palate (nsCL/P), the most frequent OFC subtype. Based on GWAS data, we selected three risk loci and identified candidate regulatory regions (CRRs) through the integration of credible SNP information, epigenetic data from relevant cells/tissues, and conservation scores. The CRRs (total 57 kb) were resequenced in a multiethnic study population (1061 patients; 1591 controls), using single-molecule molecular inversion probe technology. Combining evidence from in silico variant annotation, pedigree- and burden analyses, we identified 16 likely deleterious rare variants that represent new candidates for functional studies in nsCL/P. Our framework is scalable and represents a promising approach to the investigation of additional congenital malformations with multifactorial etiology., (© 2021 The Authors. Human Mutation Published by Wiley Periodicals LLC.)
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- 2021
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50. TBK1 and TNFRSF13B mutations and an autoinflammatory disease in a child with lethal COVID-19.
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Schmidt A, Peters S, Knaus A, Sabir H, Hamsen F, Maj C, Fazaal J, Sivalingam S, Savchenko O, Mantri A, Holzinger D, Neudorf U, Müller A, Ludwig KU, Krawitz PM, Engels H, Nöthen MM, and Bagci S
- Abstract
Among children, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections are typically mild. Here, we describe the case of a 3.5-year-old girl with an unusually severe presentation of coronavirus disease (COVID-19). The child had an autoinflammatory disorder of unknown etiology, which had been treated using prednisolone and methotrexate, and her parents were half cousins of Turkish descent. After 5 days of nonspecific viral infection symptoms, tonic-clonic seizures occurred followed by acute cardiac insufficiency, multi-organ insufficiency, and ultimate death. Trio exome sequencing identified a homozygous splice-variant in the gene TBK1, and a homozygous missense variant in the gene TNFRSF13B. Heterozygous deleterious variants in the TBK1 gene have been associated with severe COVID-19, and the variant in the TNFRSF13B gene has been associated with common variable immunodeficiency (CVID). We suggest that the identified variants, the autoinflammatory disorder and its treatment, or a combination of these factors probably predisposed to lethal COVID-19 in the present case.
- Published
- 2021
- Full Text
- View/download PDF
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