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

Hongping Guo1, Tong Li1, Haiyang Wen2

  • 1School of Mathematics and Statistics, Hubei Normal University, Huangshi, China.

Frontiers in Microbiology
|October 3, 2022
PubMed

Insights

This study identifies shared genetic factors between COVID-19 and cardiovascular diseases like coronary artery disease and hypertension. Understanding these genetic links can illuminate disease mechanisms and improve patient outcomes.

Area of Science:

  • Genetics
  • Cardiovascular Medicine
  • Infectious Diseases

Background:

  • COVID-19 severity varies, often linked to cardiovascular comorbidities.
  • Genetic factors influencing both COVID-19 and cardiovascular disorders are largely unknown.
  • Identifying shared genetic loci is crucial for understanding disease mechanisms.

Purpose of the Study:

  • To identify shared genetic loci between COVID-19 and cardiovascular traits.
  • To investigate the genetic architecture underlying the association between COVID-19 and cardiovascular diseases.
  • To explore potential causal relationships using Mendelian randomization.

Main Methods:

  • Genome-wide cross-trait meta-analysis of COVID-19 and eight cardiovascular disorders.
  • Genetic correlation analysis to assess shared genetic influences.
  • Mendelian randomization to infer causal effects.

Main Results:

  • Positive genetic correlations found between COVID-19 and coronary artery disease (CAD), type 2 diabetes (T2D), obesity (OBE), and hypertension (HTN).
  • Identified numerous shared genetic loci between COVID-19 and CAD, T2D, OBE, and HTN.
  • Mendelian randomization indicated causal effects of COVID-19 on CAD, OBE, and HTN.

Conclusions:

  • Shared genetic loci and pathways contribute to the association between COVID-19 and cardiovascular diseases.
  • Findings provide insights into the genetic basis of COVID-19's impact on cardiovascular health.
  • This research highlights potential targets for therapeutic interventions and risk stratification.

Keywords:
COVID-19GWAScardiovascular diseasesmeta-analysisshared genetics

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