ArticleBMC medical genomics2023
Major depression disorder may causally associate with the increased atrial fibrillation risk: evidence from two-sample mendelian randomization analyses.
Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Exploring the Association Between Mental Disorders and Various Arrhythmias via Mendelian Randomization Methods.Genes, brain, and behavior · 2026Article
- Shared Neurocardiac Pathways Linking Atrial Fibrillation and Depression: A UK Biobank Analysis.medRxiv : the preprint server for health sciences · 2026Article
- Genetic susceptibility to depression and risk of cardiometabolic diseases: a systematic review and meta-analysis of 21 Mendelian randomisation studies.EClinicalMedicine · 2025Article
- Associations between daytime napping, sleep duration, and depression and 15 cardiovascular diseases: a Mendelian randomization study.Cardiovascular diagnosis and therapy · 2024Article
- The Application of Mendelian Randomization in Cardiovascular Disease Risk Prediction: Current Status and Future Prospects.Reviews in cardiovascular medicine · 2024Review
- Post-stroke arrhythmia could be a potential predictor for post-stroke depression.Scientific reports · 2024Article
- Gut microbiota influence on lung cancer risk through blood metabolite mediation: from a comprehensive Mendelian randomization analysis and genetic analysis.Frontiers in nutrition · 2024Article
- The role of herpes simplex virus infection in the etiology of head and neck cancer-a Mendelian randomization study.Frontiers in immunology · 2024Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObservational studies have revealed a link between major depressive disorder (MDD) and a higher chance of developing atrial fibrillation (AF). It is still uncertain whether or not this correlation indicates a causal relationship. This research set out to evaluate the causal impact of MDD on AF.
methodsTo evaluate the causal relationship between MDD and AF, we employed a two-sample Mendelian randomization (MR) method. A new genome-wide association study (GWAS) with 500,199 participants was used to obtain an overview of the association of genetic variations with MDD. An additional GWAS incorporating 1,030,836 people provided data on the relationship between gene variants and AF. The inverse-variance weighted technique was utilized to assess the effect sizes. Sensitivity analysis included the use of other statistical approaches such as weighted median, Outlier, MR Pleiotropy Residual Sum, weighted mode, simple mode, and MR - Egger.
resultsBy employing 47 single nucleotide polymorphisms (SNPs) as markers, MR analyses in random-effect inverse-variance weighted models found that genetically projected MDD was linked to an elevated incidence of AF (odds ratio [OR] = 1.098, 95% CI 1.000-1.206; P = 0.049). No gene pleiotropy was discovered as indicated by MR-Egger (intercept= -0.011, P = 0.169). Sensitivity analysis employing other MR techniques yielded reliable results.
conclusionThis MR study established a causal relationship between genetically predicted MDD and an elevated risk of AF.
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