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GWAS Study

Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis.

Guo H, Li T, Wen H

36187959 PubMed ID
GWAS Study Type
191865 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GH
Guo H
LT
Li T
WH
Wen H
Chapter II

Abstract

Summary of the research findings

People with coronavirus disease 2019 (COVID-19) have different mortality or severity, and this clinical outcome is thought to be mainly attributed to comorbid cardiovascular diseases. However, genetic loci jointly influencing COVID-19 and cardiovascular disorders remain largely unknown. To identify shared genetic loci between COVID-19 and cardiac traits, we conducted a genome-wide cross-trait meta-analysis. Firstly, from eight cardiovascular disorders, we found positive genetic correlations between COVID-19 and coronary artery disease (CAD, R g = 0.4075, P = 0.0031), type 2 diabetes (T2D, R g = 0.2320, P = 0.0043), obesity (OBE, R g = 0.3451, P = 0.0061), as well as hypertension (HTN, R g = 0.233, P = 0.0026). Secondly, we detected 10 shared genetic loci between COVID-19 and CAD, 3 loci between COVID-19 and T2D, 5 loci between COVID-19 and OBE, and 21 loci between COVID-19 and HTN, respectively. These shared genetic loci were enriched in signaling pathways and secretion pathways. In addition, Mendelian randomization analysis revealed significant causal effect of COVID-19 on CAD, OBE and HTN. Our results have revealed the genetic architecture shared by COVID-19 and CVD, and will help to shed light on the molecular mechanisms underlying the associations between COVID-19 and cardiac traits.

up to 2,244 European ancestry critical COVID-19 cases, 60,801 European or uknown ancestry CAD cases, up to 128,820 European or unknown ancestry controls

Chapter III

Study Statistics

Key metrics and study information

191865
Total Participants
GWAS
Study Type
No
Replicated
European, NR, European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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