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Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a respiratory illness that can result in hospitalization or death. We used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 ind...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173480/ https://www.ncbi.nlm.nih.gov/pubmed/34115965 http://dx.doi.org/10.1016/j.ajhg.2021.05.017 |
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author | Kosmicki, Jack A. Horowitz, Julie E. Banerjee, Nilanjana Lanche, Rouel Marcketta, Anthony Maxwell, Evan Bai, Xiaodong Sun, Dylan Backman, Joshua D. Sharma, Deepika Kury, Fabricio S.P. Kang, Hyun M. O’Dushlaine, Colm Yadav, Ashish Mansfield, Adam J. Li, Alexander H. Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Locke, Adam E. Khalid, Shareef O’Keeffe, Sean Mbatchou, Joelle Chazara, Olympe Huang, Yunfeng Kvikstad, Erika O’Neill, Amanda Nioi, Paul Parker, Meg M. Petrovski, Slavé Runz, Heiko Szustakowski, Joseph D. Wang, Quanli Wong, Emily Cordova-Palomera, Aldo Smith, Erin N. Szalma, Sandor Zheng, Xiuwen Esmaeeli, Sahar Davis, Justin W. Lai, Yi-Pin Chen, Xing Justice, Anne E. Leader, Joseph B. Mirshahi, Tooraj Carey, David J. Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Rader, Daniel J. Povysil, Gundula Goldstein, David B. Kiryluk, Krzysztof Pairo-Castineira, Erola Rawlik, Konrad Pasko, Dorota Walker, Susan Meynert, Alison Kousathanas, Athanasios Moutsianas, Loukas Tenesa, Albert Caulfield, Mark Scott, Richard Wilson, James F. Baillie, J. Kenneth Butler-Laporte, Guillaume Nakanishi, Tomoko Lathrop, Mark Richards, J. Brent Jones, Marcus Balasubramanian, Suganthi Salerno, William Shuldiner, Alan R. Marchini, Jonathan Overton, John D. Habegger, Lukas Cantor, Michael N. Reid, Jeffrey G. Baras, Aris Abecasis, Goncalo R. Ferreira, Manuel A.R. |
author_facet | Kosmicki, Jack A. Horowitz, Julie E. Banerjee, Nilanjana Lanche, Rouel Marcketta, Anthony Maxwell, Evan Bai, Xiaodong Sun, Dylan Backman, Joshua D. Sharma, Deepika Kury, Fabricio S.P. Kang, Hyun M. O’Dushlaine, Colm Yadav, Ashish Mansfield, Adam J. Li, Alexander H. Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Locke, Adam E. Khalid, Shareef O’Keeffe, Sean Mbatchou, Joelle Chazara, Olympe Huang, Yunfeng Kvikstad, Erika O’Neill, Amanda Nioi, Paul Parker, Meg M. Petrovski, Slavé Runz, Heiko Szustakowski, Joseph D. Wang, Quanli Wong, Emily Cordova-Palomera, Aldo Smith, Erin N. Szalma, Sandor Zheng, Xiuwen Esmaeeli, Sahar Davis, Justin W. Lai, Yi-Pin Chen, Xing Justice, Anne E. Leader, Joseph B. Mirshahi, Tooraj Carey, David J. Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Rader, Daniel J. Povysil, Gundula Goldstein, David B. Kiryluk, Krzysztof Pairo-Castineira, Erola Rawlik, Konrad Pasko, Dorota Walker, Susan Meynert, Alison Kousathanas, Athanasios Moutsianas, Loukas Tenesa, Albert Caulfield, Mark Scott, Richard Wilson, James F. Baillie, J. Kenneth Butler-Laporte, Guillaume Nakanishi, Tomoko Lathrop, Mark Richards, J. Brent Jones, Marcus Balasubramanian, Suganthi Salerno, William Shuldiner, Alan R. Marchini, Jonathan Overton, John D. Habegger, Lukas Cantor, Michael N. Reid, Jeffrey G. Baras, Aris Abecasis, Goncalo R. Ferreira, Manuel A.R. |
author_sort | Kosmicki, Jack A. |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a respiratory illness that can result in hospitalization or death. We used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome wide or when specifically focusing on (1) 13 interferon pathway genes in which rare deleterious variants have been reported in individuals with severe COVID-19, (2) 281 genes located in susceptibility loci identified by the COVID-19 Host Genetics Initiative, or (3) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, and results are publicly available through the Regeneron Genetics Center COVID-19 Results Browser. |
format | Online Article Text |
id | pubmed-8173480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81734802021-06-03 Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals Kosmicki, Jack A. Horowitz, Julie E. Banerjee, Nilanjana Lanche, Rouel Marcketta, Anthony Maxwell, Evan Bai, Xiaodong Sun, Dylan Backman, Joshua D. Sharma, Deepika Kury, Fabricio S.P. Kang, Hyun M. O’Dushlaine, Colm Yadav, Ashish Mansfield, Adam J. Li, Alexander H. Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Locke, Adam E. Khalid, Shareef O’Keeffe, Sean Mbatchou, Joelle Chazara, Olympe Huang, Yunfeng Kvikstad, Erika O’Neill, Amanda Nioi, Paul Parker, Meg M. Petrovski, Slavé Runz, Heiko Szustakowski, Joseph D. Wang, Quanli Wong, Emily Cordova-Palomera, Aldo Smith, Erin N. Szalma, Sandor Zheng, Xiuwen Esmaeeli, Sahar Davis, Justin W. Lai, Yi-Pin Chen, Xing Justice, Anne E. Leader, Joseph B. Mirshahi, Tooraj Carey, David J. Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Rader, Daniel J. Povysil, Gundula Goldstein, David B. Kiryluk, Krzysztof Pairo-Castineira, Erola Rawlik, Konrad Pasko, Dorota Walker, Susan Meynert, Alison Kousathanas, Athanasios Moutsianas, Loukas Tenesa, Albert Caulfield, Mark Scott, Richard Wilson, James F. Baillie, J. Kenneth Butler-Laporte, Guillaume Nakanishi, Tomoko Lathrop, Mark Richards, J. Brent Jones, Marcus Balasubramanian, Suganthi Salerno, William Shuldiner, Alan R. Marchini, Jonathan Overton, John D. Habegger, Lukas Cantor, Michael N. Reid, Jeffrey G. Baras, Aris Abecasis, Goncalo R. Ferreira, Manuel A.R. Am J Hum Genet Report Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19), a respiratory illness that can result in hospitalization or death. We used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with COVID-19. After accounting for multiple testing, we did not identify any clear associations with rare variants either exome wide or when specifically focusing on (1) 13 interferon pathway genes in which rare deleterious variants have been reported in individuals with severe COVID-19, (2) 281 genes located in susceptibility loci identified by the COVID-19 Host Genetics Initiative, or (3) 32 additional genes of immunologic relevance and/or therapeutic potential. Our analyses indicate there are no significant associations with rare protein-coding variants with detectable effect sizes at our current sample sizes. Analyses will be updated as additional data become available, and results are publicly available through the Regeneron Genetics Center COVID-19 Results Browser. Elsevier 2021-07-01 2021-06-03 /pmc/articles/PMC8173480/ /pubmed/34115965 http://dx.doi.org/10.1016/j.ajhg.2021.05.017 Text en © 2021. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Report Kosmicki, Jack A. Horowitz, Julie E. Banerjee, Nilanjana Lanche, Rouel Marcketta, Anthony Maxwell, Evan Bai, Xiaodong Sun, Dylan Backman, Joshua D. Sharma, Deepika Kury, Fabricio S.P. Kang, Hyun M. O’Dushlaine, Colm Yadav, Ashish Mansfield, Adam J. Li, Alexander H. Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Locke, Adam E. Khalid, Shareef O’Keeffe, Sean Mbatchou, Joelle Chazara, Olympe Huang, Yunfeng Kvikstad, Erika O’Neill, Amanda Nioi, Paul Parker, Meg M. Petrovski, Slavé Runz, Heiko Szustakowski, Joseph D. Wang, Quanli Wong, Emily Cordova-Palomera, Aldo Smith, Erin N. Szalma, Sandor Zheng, Xiuwen Esmaeeli, Sahar Davis, Justin W. Lai, Yi-Pin Chen, Xing Justice, Anne E. Leader, Joseph B. Mirshahi, Tooraj Carey, David J. Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Rader, Daniel J. Povysil, Gundula Goldstein, David B. Kiryluk, Krzysztof Pairo-Castineira, Erola Rawlik, Konrad Pasko, Dorota Walker, Susan Meynert, Alison Kousathanas, Athanasios Moutsianas, Loukas Tenesa, Albert Caulfield, Mark Scott, Richard Wilson, James F. Baillie, J. Kenneth Butler-Laporte, Guillaume Nakanishi, Tomoko Lathrop, Mark Richards, J. Brent Jones, Marcus Balasubramanian, Suganthi Salerno, William Shuldiner, Alan R. Marchini, Jonathan Overton, John D. Habegger, Lukas Cantor, Michael N. Reid, Jeffrey G. Baras, Aris Abecasis, Goncalo R. Ferreira, Manuel A.R. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals |
title | Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals |
title_full | Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals |
title_fullStr | Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals |
title_full_unstemmed | Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals |
title_short | Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals |
title_sort | pan-ancestry exome-wide association analyses of covid-19 outcomes in 586,157 individuals |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173480/ https://www.ncbi.nlm.nih.gov/pubmed/34115965 http://dx.doi.org/10.1016/j.ajhg.2021.05.017 |
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