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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
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Related Experiment Video

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Optimization of Transesophageal Atrial Pacing to Assess Atrial Fibrillation Susceptibility in Mice
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Association between epigenetic aging and atrioventricular block: a two-sample Mendelian randomization study.

Wanqian Pan1, Chi Zhang1, Xiaojiao Du1

  • 1Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, P. R. China.

Epigenomics
|January 20, 2025
PubMed
Summary

Epigenetic aging, measured by GrimAge acceleration, is linked to an increased risk of atrioventricular block (AVB). This finding highlights the importance of epigenetic aging in AVB prevention strategies.

Keywords:
Atrioventricular blockDNA methylationMendelian randomizationbiological agingepigenetic aginggerontology

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Area of Science:

  • Cardiovascular Epigenetics
  • Genetic Epidemiology
  • Aging Research

Background:

  • Atrioventricular block (AVB) is a common heart rhythm disorder.
  • Epigenetic aging, reflecting biological age, is increasingly recognized as a factor in disease risk.
  • Understanding the causal relationship between epigenetic aging and AVB is crucial for prevention.

Purpose of the Study:

  • To investigate the causal effect of epigenetic aging on the prevalence of atrioventricular block (AVB).
  • To utilize Mendelian randomization (MR) analysis to assess genetic predisposition to epigenetic aging and AVB.
  • To explore the directionality of the causal relationship between epigenetic aging and AVB.

Main Methods:

  • Mendelian randomization (MR) analysis was employed using genetic instruments for epigenetic aging (GrimAge acceleration) and AVB.
  • Data were sourced from genome-wide association studies in the Edinburgh DataShare and FinnGen biobanks.
  • Univariable, multivariable, and sensitivity analyses were conducted to ensure robust findings.

Main Results:

  • Genetically predicted GrimAge acceleration was significantly associated with an increased risk of AVB (IVW: p=0.010, 95% CI=1.024-1.196; Weighted Median: p=0.031, 95% CI=1.009-1.215).
  • No evidence supported a causal effect of AVB on epigenetic aging.
  • Multivariable MR analysis, adjusting for risk factors, confirmed the association between epigenetic aging and AVB.

Conclusions:

  • Epigenetic aging, specifically GrimAge acceleration, may causally increase the risk of developing atrioventricular block (AVB).
  • These findings underscore the potential role of targeting epigenetic aging in the prevention of AVB.
  • Further research into the mechanisms linking epigenetic aging and AVB is warranted.