No causal association between plasma homocysteine levels and atrial fibrillation: A Mendelian randomization study

Nutr Metab Cardiovasc Dis. 2021 Feb 8;31(2):587-591. doi: 10.1016/j.numecd.2020.10.012. Epub 2020 Oct 21.

Abstract

Background and aims: Although several studies have shown an association between plasma homocysteine (Hcy) levels and atrial fibrillation (AF), the causality remains unclear. We undertook a Mendelian randomization (MR) study to investigate the causal association between Hcy and AF.

Methods and results: Single-nucleotide polymorphisms (SNPs) which genome-wide significantly associated with plasma Hcy levels were obtained from a genome-wide meta-analysis (N = 44 147). MR analyses including the random-effect inverse variance-weighted (IVW) meta-analysis, weighted median analysis, and MR-Egger regression were used to estimate the associations between the selected SNPs and AF based on a meta-analysis of genome-wide association study for AF (N = 588 190). The MR analyses revealed no causal role of genetically elevated plasma Hcy levels with AF risk (random-effect IVW, odds ratio per 1 SD increase in Hcy levels = 0.972, 95% confidence interval = 0.919 to 1.027, P = 0.308). The results were consistent with the weighted median method, MR-Egger and the analysis after excluding the pleiotropic SNPs. No heterogeneity and directional pleiotropy were observed in sensitivity analyses.

Conclusion: The findings suggested that plasma Hcy levels were not causally associated with AF.

Keywords: Atrial fibrillation; Causal association; Homocysteine; Mendelian randomization.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Atrial Fibrillation / blood
  • Atrial Fibrillation / epidemiology
  • Atrial Fibrillation / genetics*
  • Biomarkers / blood
  • Genetic Predisposition to Disease
  • Genome-Wide Association Study
  • Homocysteine / blood*
  • Humans
  • Hyperhomocysteinemia / blood
  • Hyperhomocysteinemia / epidemiology
  • Hyperhomocysteinemia / genetics*
  • Mendelian Randomization Analysis
  • Meta-Analysis as Topic
  • Phenotype
  • Polymorphism, Single Nucleotide*
  • Risk Assessment
  • Risk Factors

Substances

  • Biomarkers
  • Homocysteine