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Associations between genetic variations in microRNA and myocardial infarction susceptibility: a meta-analysis and

Yang Yang1, Xiajun Shi2, Zhengxun Du1

  • 1Department of Cardiology, The Third Affiliated Hospital of Anhui Medical University, 230061, Hefei, Anhui, China.

Herz
|December 8, 2021
PubMed
Abstract

Insights

This meta-analysis found that specific microRNA (miRNA) polymorphisms, namely miR-146a rs2910164 and miR-499 rs3746444, are significantly associated with myocardial infarction (MI) risk. Further research is needed to explore the role of other miRNA polymorphisms in MI susceptibility.

Area of Science:

  • Cardiovascular Genetics
  • Molecular Biology
  • Genomics

Background:

  • Conflicting results exist regarding the association between microRNA (miRNA) polymorphisms and myocardial infarction (MI) risk.
  • Genetic variations in miRNAs may influence susceptibility to complex diseases like MI.

Purpose of the Study:

  • To conduct a meta-analysis to clarify the association between specific miRNA polymorphisms and MI risk.
  • To consolidate evidence from existing genetic association studies.

Main Methods:

  • A systematic literature search was performed across major databases (PubMed, EMBASE, Web of Science, Scopus).
  • Eligible studies investigating the link between miRNA polymorphisms and MI susceptibility were included.
  • A meta-analysis was conducted to quantify the risk associated with these polymorphisms.

Main Results:

  • Eight studies comprising 2507 MI patients and 3796 controls were analyzed, examining 11 miRNA loci.
  • Significant associations with MI susceptibility were found for miR-146a rs2910164 (OR: 1.40, 95% CI: 1.05-1.74) and miR-499 rs3746444 (OR: 2.04, 95% CI: 1.37-2.70).
  • Data for other investigated miRNA polymorphisms were limited or conflicting.

Conclusions:

  • A significant association exists between miR-146a rs2910164, miR-499 rs3746444, and MI susceptibility.
  • Further investigation is warranted to elucidate the role of various miRNA polymorphisms in the development of MI.
Keywords:
Coronary artery diseaseGenetic effectHardy–Weinberg equilibriumHeterogeneitySensitivity analysis

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