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Dataset Information

Multi-ancestry Mendelian randomization of omics traits revealing drug targets of COVID-19 severity.


ABSTRACT:

Background

Recent omic studies prioritised several drug targets associated with coronavirus disease 2019 (COVID-19) severity. However, little evidence was provided to systematically estimate the effect of drug targets on COVID-19 severity in multiple ancestries.

Methods

In this study, we applied Mendelian randomization (MR) and colocalization approaches to understand the putative causal effects of 16,059 transcripts and 1608 proteins on COVID-19 severity in European and effects of 610 proteins on COVID-19 severity in African ancestry. We further integrated genetics, clinical and literature evidence to prioritise drug targets. Additional sensitivity analyses including multi-trait colocalization and phenome-wide MR were conducted to test for MR assumptions.

Findings

MR

SUBMITTER: Zheng J 

PROVIDER: S-EPMC9235320 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature