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Integrative 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 integrated a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-1...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743085/ https://www.ncbi.nlm.nih.gov/pubmed/33330876 http://dx.doi.org/10.1101/2020.12.07.20245308 |
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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 integrated 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 identified 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterized the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (BioVU; n=85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicated these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in BioVU, pan-UK Biobank, and Biobank Japan. Our study highlights putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response. |
format | Online Article Text |
id | pubmed-7743085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-77430852020-12-17 Integrative 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 medRxiv 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 integrated 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 identified 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. We functionally characterized the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (BioVU; n=85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicated these findings across trans-ethnic studies and observed consistent effects in individuals of diverse ancestral backgrounds in BioVU, pan-UK Biobank, and Biobank Japan. Our study highlights putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response. Cold Spring Harbor Laboratory 2020-12-08 /pmc/articles/PMC7743085/ /pubmed/33330876 http://dx.doi.org/10.1101/2020.12.07.20245308 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
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 analyses identify susceptibility genes underlying COVID-19 hospitalization |
title | Integrative analyses identify susceptibility genes underlying COVID-19 hospitalization |
title_full | Integrative analyses identify susceptibility genes underlying COVID-19 hospitalization |
title_fullStr | Integrative analyses identify susceptibility genes underlying COVID-19 hospitalization |
title_full_unstemmed | Integrative analyses identify susceptibility genes underlying COVID-19 hospitalization |
title_short | Integrative analyses identify susceptibility genes underlying COVID-19 hospitalization |
title_sort | integrative analyses identify susceptibility genes underlying covid-19 hospitalization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7743085/ https://www.ncbi.nlm.nih.gov/pubmed/33330876 http://dx.doi.org/10.1101/2020.12.07.20245308 |
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