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Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

Authors :
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
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.355ee0c16c940cdb2b6a67d3d67f2b5
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-24824-z