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Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

Despite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of genes and pathways that contribute to COVID-19. Here, we integrate a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19...

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Autores principales: Pathak, Gita A., Singh, Kritika, Miller-Fleming, Tyne W., Wendt, Frank R., Ehsan, Nava, Hou, Kangcheng, Johnson, Ruth, Lu, Zeyun, Gopalan, Shyamalika, Yengo, Loic, Mohammadi, Pejman, Pasaniuc, Bogdan, Polimanti, Renato, Davis, Lea K., Mancuso, Nicholas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316582/
https://www.ncbi.nlm.nih.gov/pubmed/34315903
http://dx.doi.org/10.1038/s41467-021-24824-z
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author Pathak, Gita A.
Singh, Kritika
Miller-Fleming, Tyne W.
Wendt, Frank R.
Ehsan, Nava
Hou, Kangcheng
Johnson, Ruth
Lu, Zeyun
Gopalan, Shyamalika
Yengo, Loic
Mohammadi, Pejman
Pasaniuc, Bogdan
Polimanti, Renato
Davis, Lea K.
Mancuso, Nicholas
author_facet Pathak, Gita A.
Singh, Kritika
Miller-Fleming, Tyne W.
Wendt, Frank R.
Ehsan, Nava
Hou, Kangcheng
Johnson, Ruth
Lu, Zeyun
Gopalan, Shyamalika
Yengo, Loic
Mohammadi, Pejman
Pasaniuc, Bogdan
Polimanti, Renato
Davis, Lea K.
Mancuso, Nicholas
author_sort Pathak, Gita A.
collection PubMed
description Despite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of genes and pathways that contribute to COVID-19. Here, we integrate a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19 Host Genetics Initiative) with mRNA expression, splicing, and protein levels (n = 18,502). We identify 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterize the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (n = 85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicate these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in Vanderbilt Biobank, pan-UK Biobank, and Biobank Japan. Our study highlights and reconfirms putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response.
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spelling pubmed-83165822021-08-03 Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization Pathak, Gita A. Singh, Kritika Miller-Fleming, Tyne W. Wendt, Frank R. Ehsan, Nava Hou, Kangcheng Johnson, Ruth Lu, Zeyun Gopalan, Shyamalika Yengo, Loic Mohammadi, Pejman Pasaniuc, Bogdan Polimanti, Renato Davis, Lea K. Mancuso, Nicholas Nat Commun Article Despite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of genes and pathways that contribute to COVID-19. Here, we integrate a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19 Host Genetics Initiative) with mRNA expression, splicing, and protein levels (n = 18,502). We identify 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterize the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (n = 85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicate these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in Vanderbilt Biobank, pan-UK Biobank, and Biobank Japan. Our study highlights and reconfirms putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response. Nature Publishing Group UK 2021-07-27 /pmc/articles/PMC8316582/ /pubmed/34315903 http://dx.doi.org/10.1038/s41467-021-24824-z Text en © The Author(s) 2021 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
Pathak, Gita A.
Singh, Kritika
Miller-Fleming, Tyne W.
Wendt, Frank R.
Ehsan, Nava
Hou, Kangcheng
Johnson, Ruth
Lu, Zeyun
Gopalan, Shyamalika
Yengo, Loic
Mohammadi, Pejman
Pasaniuc, Bogdan
Polimanti, Renato
Davis, Lea K.
Mancuso, Nicholas
Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
title Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
title_full Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
title_fullStr Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
title_full_unstemmed Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
title_short Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
title_sort integrative genomic analyses identify susceptibility genes underlying covid-19 hospitalization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8316582/
https://www.ncbi.nlm.nih.gov/pubmed/34315903
http://dx.doi.org/10.1038/s41467-021-24824-z
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