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An integrative multiomics analysis identifies putative causal genes for COVID-19 severity.

Genetics in medicine : official journal of the American College of Medical Genetics - 1 Nov 2021

Wu Lang, Zhu Jingjing, Liu Duo, Sun Yanfa, Wu Chong

Abstract excerpt

PURPOSE: It is critical to identify putative causal targets for SARS coronavirus 2, which may guide drug repurposing options to reduce the public health burden of COVID-19. METHODS: We applied complementary methods and multiphased design to pinpoint the most likely causal genes for COVID-19 severity. First, we applied cross-methylome omnibus (CMO) test and leveraged data from the COVID-19 Host Genetics Initiative...

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Bioinformatics and Genomic Networks
COVID-19
COVID-19 Clinical Research Studies
Gene Expression
Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Single-cell and spatial transcriptomics

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PMID: 34183789
DOI: 10.1038/s41436-021-01243-5
PMCID: PMC8237048

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