• Jin Rao, Yue Yu, Pengchao Cheng, Xuefu Wang, Pei Wang, and Zhinong Wang.
• Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China.
• Medicine (Baltimore). 2024 Nov 1; 103 (44): e40252e40252.

AbstractMany studies have shown that myocardial infarction (MI) is significantly associated with atrial fibrillation (AF), but the causal relationship between MI and AF has not been established. Therefore, we performed this Mendelian randomization (MR) study to investigate the relationship between MI and AF. We used a publicly available summary statistical dataset for MI based on genome-wide analysis studies (GWAS; ebi-a-GCST011364; 14,825 cases and 2680 controls) and a summary statistical dataset for AF based on an European GWAS (finn-b-I9_AF_REIMB; 10,516 cases and 116,926 controls). The 2-sample bidirectional MR analysis was performed using the inverse-variance weighted (IVW), MR-Egger, and weighted median methods. The causal effect of MI on AF was analyzed using 30 MI-specific single nucleotide polymorphisms (SNPs) that were characterized as instrumental variables (IVs) based on the GWAS data. The causal effect of MI on AF was confirmed by the IVW (odds ratio [OR] 1.42; 95% confidence interval [CI] 1.27-1.58; P < .001), MR-Egger (OR: 1.49; 95% CI: 1.15-1.93; P = .005), and weighted median (OR: 1.42; 95% CI: 1.24-1.63; P < .001) analyses. Furthermore, in the reverse MR analyses, the causal effect of AF on MI was analyzed using 20 AF-specific SNPs that were screened as IVs. The causal effect of AF on MI was significant based on the results from the IVW method (OR: 1.05; 95% CI: 1.00-1.09; P = .033). In conclusion, the bidirectional MR analyses demonstrated a clear bidirectional causal association between MI and AF.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

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