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Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.

Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.

期刊: Genes, brain, and behavior 日期: 2026-06-01 PMID: 42312685 DOI: 10.1111/gbb.70058 浏览: 44
作者: Su J, Zhang J, Ding Y, Ying Y
J, S., J, Z., Y, D., & Y, Y. (2026). Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.. Genes, brain, and behavior. https://doi.org/10.1111/gbb.70058
J S, J Z, Y D, Y Y. Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.. Genes, brain, and behavior. 2026; doi: 10.1111/gbb.70058
J S, J Z, Y D, et al. Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.[J]. Genes, brain, and behavior. 2026. DOI: 10.1111/gbb.70058.
@article{j2026,
  author = {Su J and Zhang J and Ding Y and Ying Y},
  title = {Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.},
  journal = {Genes, brain, and behavior},
  year = {2026},
  doi = {10.1111/gbb.70058},
  note = {PMID: 42312685},
}
TY  - JOUR
AU  - Su J
AU  - Zhang J
AU  - Ding Y
AU  - Ying Y
TI  - Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.
T2  - Genes, brain, and behavior
PY  - 2026
DO  - 10.1111/gbb.70058
AN  - PMID:42312685
ER  - 

摘要

Major depression, bipolar disorder, and schizophrenia are common mental illnesses, and their potential association with arrhythmias has long been a focus of clinical and research interest. To explore the possible causal relationship between these mental disorders and arrhythmias, we conducted a bidirectional two-sample Mendelian randomization (MR) analysis using publicly available GWAS summary statistics. The primary analysis employed the inverse-variance weighted (IVW) method, with sensitivity analyses including MR-Egger regression and the weighted median estimator to assess robustness and address potential pleiotropy. Results indicated that genetic predisposition to major depression was associated with increased risks of atrial fibrillation/flutter (IVW: OR = 1.214, 95% CI: 1.092-1.349, p < 0.001), paroxysmal tachycardia (IVW: OR = 1.493, 95% CI: 1.261-1.769, p < 0.001), and atrioventricular block (IVW: OR = 1.257, 95% CI: 1.147-1.377, p < 0.001). Reverse MR also suggested a modest effect of atrioventricular block on depression risk (IVW: OR = 1.045, 95% CI: 1.011-1.079, p = 0.008). In conclusion, from the perspective of genetic liability and using the MR framework, our analysis supports a causal role of major depression in increasing the risk of several arrhythmias and suggests potential bidirectional causal effects between depression and atrioventricular block.

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