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Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters human host cells via angiotensin-converting enzyme 2 (ACE2) and causes coronavirus disease 2019 (COVID-19). Here, through a genome-wide association study, we identify a variant (rs190509934, minor allele frequency 0.2–2%) that downr...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005345/ https://www.ncbi.nlm.nih.gov/pubmed/35241825 http://dx.doi.org/10.1038/s41588-021-01006-7 |
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author | Horowitz, Julie E. Kosmicki, Jack A. Damask, Amy Sharma, Deepika Roberts, Genevieve H. L. Justice, Anne E. Banerjee, Nilanjana Coignet, Marie V. Yadav, Ashish Leader, Joseph B. Marcketta, Anthony Park, Danny S. Lanche, Rouel Maxwell, Evan Knight, Spencer C. Bai, Xiaodong Guturu, Harendra Sun, Dylan Baltzell, Asher Kury, Fabricio S. P. Backman, Joshua D. Girshick, Ahna R. O’Dushlaine, Colm McCurdy, Shannon R. Partha, Raghavendran Mansfield, Adam J. Turissini, David A. Li, Alexander H. Zhang, Miao Mbatchou, Joelle Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Kang, Hyun M. Dobbyn, Lee Stahl, Eli Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Jones, Marcus Balasubramanian, Suganthi Siminovitch, Katherine Salerno, William J. Shuldiner, Alan R. Rader, Daniel J. Mirshahi, Tooraj Locke, Adam E. Marchini, Jonathan Overton, John D. Carey, David J. Habegger, Lukas Cantor, Michael N. Rand, Kristin A. Hong, Eurie L. Reid, Jeffrey G. Ball, Catherine A. Baras, Aris Abecasis, Gonçalo R. Ferreira, Manuel A. R. |
author_facet | Horowitz, Julie E. Kosmicki, Jack A. Damask, Amy Sharma, Deepika Roberts, Genevieve H. L. Justice, Anne E. Banerjee, Nilanjana Coignet, Marie V. Yadav, Ashish Leader, Joseph B. Marcketta, Anthony Park, Danny S. Lanche, Rouel Maxwell, Evan Knight, Spencer C. Bai, Xiaodong Guturu, Harendra Sun, Dylan Baltzell, Asher Kury, Fabricio S. P. Backman, Joshua D. Girshick, Ahna R. O’Dushlaine, Colm McCurdy, Shannon R. Partha, Raghavendran Mansfield, Adam J. Turissini, David A. Li, Alexander H. Zhang, Miao Mbatchou, Joelle Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Kang, Hyun M. Dobbyn, Lee Stahl, Eli Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Jones, Marcus Balasubramanian, Suganthi Siminovitch, Katherine Salerno, William J. Shuldiner, Alan R. Rader, Daniel J. Mirshahi, Tooraj Locke, Adam E. Marchini, Jonathan Overton, John D. Carey, David J. Habegger, Lukas Cantor, Michael N. Rand, Kristin A. Hong, Eurie L. Reid, Jeffrey G. Ball, Catherine A. Baras, Aris Abecasis, Gonçalo R. Ferreira, Manuel A. R. |
author_sort | Horowitz, Julie E. |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters human host cells via angiotensin-converting enzyme 2 (ACE2) and causes coronavirus disease 2019 (COVID-19). Here, through a genome-wide association study, we identify a variant (rs190509934, minor allele frequency 0.2–2%) that downregulates ACE2 expression by 37% (P = 2.7 × 10(−)(8)) and reduces the risk of SARS-CoV-2 infection by 40% (odds ratio = 0.60, P = 4.5 × 10(−)(13)), providing human genetic evidence that ACE2 expression levels influence COVID-19 risk. We also replicate the associations of six previously reported risk variants, of which four were further associated with worse outcomes in individuals infected with the virus (in/near LZTFL1, MHC, DPP9 and IFNAR2). Lastly, we show that common variants define a risk score that is strongly associated with severe disease among cases and modestly improves the prediction of disease severity relative to demographic and clinical factors alone. |
format | Online Article Text |
id | pubmed-9005345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-90053452022-04-27 Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease Horowitz, Julie E. Kosmicki, Jack A. Damask, Amy Sharma, Deepika Roberts, Genevieve H. L. Justice, Anne E. Banerjee, Nilanjana Coignet, Marie V. Yadav, Ashish Leader, Joseph B. Marcketta, Anthony Park, Danny S. Lanche, Rouel Maxwell, Evan Knight, Spencer C. Bai, Xiaodong Guturu, Harendra Sun, Dylan Baltzell, Asher Kury, Fabricio S. P. Backman, Joshua D. Girshick, Ahna R. O’Dushlaine, Colm McCurdy, Shannon R. Partha, Raghavendran Mansfield, Adam J. Turissini, David A. Li, Alexander H. Zhang, Miao Mbatchou, Joelle Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Kang, Hyun M. Dobbyn, Lee Stahl, Eli Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Jones, Marcus Balasubramanian, Suganthi Siminovitch, Katherine Salerno, William J. Shuldiner, Alan R. Rader, Daniel J. Mirshahi, Tooraj Locke, Adam E. Marchini, Jonathan Overton, John D. Carey, David J. Habegger, Lukas Cantor, Michael N. Rand, Kristin A. Hong, Eurie L. Reid, Jeffrey G. Ball, Catherine A. Baras, Aris Abecasis, Gonçalo R. Ferreira, Manuel A. R. Nat Genet Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) enters human host cells via angiotensin-converting enzyme 2 (ACE2) and causes coronavirus disease 2019 (COVID-19). Here, through a genome-wide association study, we identify a variant (rs190509934, minor allele frequency 0.2–2%) that downregulates ACE2 expression by 37% (P = 2.7 × 10(−)(8)) and reduces the risk of SARS-CoV-2 infection by 40% (odds ratio = 0.60, P = 4.5 × 10(−)(13)), providing human genetic evidence that ACE2 expression levels influence COVID-19 risk. We also replicate the associations of six previously reported risk variants, of which four were further associated with worse outcomes in individuals infected with the virus (in/near LZTFL1, MHC, DPP9 and IFNAR2). Lastly, we show that common variants define a risk score that is strongly associated with severe disease among cases and modestly improves the prediction of disease severity relative to demographic and clinical factors alone. Nature Publishing Group US 2022-03-03 2022 /pmc/articles/PMC9005345/ /pubmed/35241825 http://dx.doi.org/10.1038/s41588-021-01006-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Horowitz, Julie E. Kosmicki, Jack A. Damask, Amy Sharma, Deepika Roberts, Genevieve H. L. Justice, Anne E. Banerjee, Nilanjana Coignet, Marie V. Yadav, Ashish Leader, Joseph B. Marcketta, Anthony Park, Danny S. Lanche, Rouel Maxwell, Evan Knight, Spencer C. Bai, Xiaodong Guturu, Harendra Sun, Dylan Baltzell, Asher Kury, Fabricio S. P. Backman, Joshua D. Girshick, Ahna R. O’Dushlaine, Colm McCurdy, Shannon R. Partha, Raghavendran Mansfield, Adam J. Turissini, David A. Li, Alexander H. Zhang, Miao Mbatchou, Joelle Watanabe, Kyoko Gurski, Lauren McCarthy, Shane E. Kang, Hyun M. Dobbyn, Lee Stahl, Eli Verma, Anurag Sirugo, Giorgio Ritchie, Marylyn D. Jones, Marcus Balasubramanian, Suganthi Siminovitch, Katherine Salerno, William J. Shuldiner, Alan R. Rader, Daniel J. Mirshahi, Tooraj Locke, Adam E. Marchini, Jonathan Overton, John D. Carey, David J. Habegger, Lukas Cantor, Michael N. Rand, Kristin A. Hong, Eurie L. Reid, Jeffrey G. Ball, Catherine A. Baras, Aris Abecasis, Gonçalo R. Ferreira, Manuel A. R. Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease |
title | Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease |
title_full | Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease |
title_fullStr | Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease |
title_full_unstemmed | Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease |
title_short | Genome-wide analysis provides genetic evidence that ACE2 influences COVID-19 risk and yields risk scores associated with severe disease |
title_sort | genome-wide analysis provides genetic evidence that ace2 influences covid-19 risk and yields risk scores associated with severe disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005345/ https://www.ncbi.nlm.nih.gov/pubmed/35241825 http://dx.doi.org/10.1038/s41588-021-01006-7 |
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