Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

Genome-wide association studies of COVID-19 have identified genetic loci affecting disease severity, but the mechanisms remain to be fully described. Here, the authors use genetically predicted transcriptome, splicing and proteome data to identify potential genes and pathways underlying COVID- 19 se...

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Autores principales:	Gita A. Pathak, Kritika Singh, Tyne W. Miller-Fleming, Frank R. Wendt, Nava Ehsan, Kangcheng Hou, Ruth Johnson, Zeyun Lu, Shyamalika Gopalan, Loic Yengo, Pejman Mohammadi, Bogdan Pasaniuc, Renato Polimanti, Lea K. Davis, Nicholas Mancuso
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a355ee0c16c940cdb2b6a67d3d67f2b5
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spelling	oai:doaj.org-article:a355ee0c16c940cdb2b6a67d3d67f2b52021-12-02T16:23:43ZIntegrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization10.1038/s41467-021-24824-z2041-1723https://doaj.org/article/a355ee0c16c940cdb2b6a67d3d67f2b52021-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-24824-zhttps://doaj.org/toc/2041-1723Genome-wide association studies of COVID-19 have identified genetic loci affecting disease severity, but the mechanisms remain to be fully described. Here, the authors use genetically predicted transcriptome, splicing and proteome data to identify potential genes and pathways underlying COVID- 19 severity.Gita A. PathakKritika SinghTyne W. Miller-FlemingFrank R. WendtNava EhsanKangcheng HouRuth JohnsonZeyun LuShyamalika GopalanLoic YengoPejman MohammadiBogdan PasaniucRenato PolimantiLea K. DavisNicholas MancusoNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Gita A. Pathak Kritika Singh Tyne W. Miller-Fleming Frank R. Wendt Nava Ehsan Kangcheng Hou Ruth Johnson Zeyun Lu Shyamalika Gopalan Loic Yengo Pejman Mohammadi Bogdan Pasaniuc Renato Polimanti Lea K. Davis Nicholas Mancuso Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
description	Genome-wide association studies of COVID-19 have identified genetic loci affecting disease severity, but the mechanisms remain to be fully described. Here, the authors use genetically predicted transcriptome, splicing and proteome data to identify potential genes and pathways underlying COVID- 19 severity.
format	article
author	Gita A. Pathak Kritika Singh Tyne W. Miller-Fleming Frank R. Wendt Nava Ehsan Kangcheng Hou Ruth Johnson Zeyun Lu Shyamalika Gopalan Loic Yengo Pejman Mohammadi Bogdan Pasaniuc Renato Polimanti Lea K. Davis Nicholas Mancuso
author_facet	Gita A. Pathak Kritika Singh Tyne W. Miller-Fleming Frank R. Wendt Nava Ehsan Kangcheng Hou Ruth Johnson Zeyun Lu Shyamalika Gopalan Loic Yengo Pejman Mohammadi Bogdan Pasaniuc Renato Polimanti Lea K. Davis Nicholas Mancuso
author_sort	Gita A. Pathak
title	Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization
title_short	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_sort	integrative genomic analyses identify susceptibility genes underlying covid-19 hospitalization
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a355ee0c16c940cdb2b6a67d3d67f2b5
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Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

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