Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

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

doi:10.1038/s41467-021-24824-z

Nature Communications (Jul 2021)

Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization

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

Affiliations

Gita A. Pathak: Yale School of Medicine, Department of Psychiatry, Division of Human Genetics
Kritika Singh: Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center
Tyne W. Miller-Fleming: Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center
Frank R. Wendt: Yale School of Medicine, Department of Psychiatry, Division of Human Genetics
Nava Ehsan: Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Kangcheng Hou: Bioinformatics Interdepartmental Program, University of California Los Angeles
Ruth Johnson: Department of Computer Science, University of California Los Angeles
Zeyun Lu: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California
Shyamalika Gopalan: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California
Loic Yengo: Institute for Molecular Bioscience, The University of Queensland
Pejman Mohammadi: Department of Integrative Structural and Computational Biology, The Scripps Research Institute
Bogdan Pasaniuc: Departments of Computational Medicine, Human Genetics, Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles
Renato Polimanti: Yale School of Medicine, Department of Psychiatry, Division of Human Genetics
Lea K. Davis: Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center
Nicholas Mancuso: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California

DOI: https://doi.org/10.1038/s41467-021-24824-z
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 11

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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