Department of Cardiothoracic Surgery, Changzheng Hospital, Naval Medical University, Shanghai, China.
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
Medicine (Baltimore). 2024 Nov 1;103(44):e40252. doi: 10.1097/MD.0000000000040252.
Many 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.
许多研究表明心肌梗死（MI）与心房颤动（AF）显著相关，但 MI 与 AF 之间的因果关系尚未确定。因此，我们进行了这项孟德尔随机化（MR）研究，以调查 MI 与 AF 之间的关系。我们使用了基于全基因组分析研究（GWAS；ebi-a-GCST011364；14825 例病例和 2680 例对照）的 MI 公开可用汇总统计数据集和基于欧洲 GWAS 的 AF 汇总统计数据集（finn-b-I9_AF_REIMB；10516 例病例和 116926 例对照）。使用逆方差加权（IVW）、MR-Egger 和加权中位数方法进行了双向 MR 分析。使用基于 GWAS 数据确定的 30 个 MI 特异性单核苷酸多态性（SNP）作为工具变量（IV）分析了 MI 对 AF 的因果影响。IVW（优势比[OR]1.42；95%置信区间[CI]1.27-1.58；P<0.001）、MR-Egger（OR：1.49；95%CI：1.15-1.93；P=0.005）和加权中位数（OR：1.42；95%CI：1.24-1.63；P<0.001）分析均证实了 MI 对 AF 的因果关系。此外，在反向 MR 分析中，使用 20 个作为 IV 筛选的 AF 特异性 SNP 分析了 AF 对 MI 的因果影响。基于 IVW 方法的结果，AF 对 MI 的因果关系具有统计学意义（OR：1.05；95%CI：1.00-1.09；P=0.033）。总之，双向 MR 分析表明 MI 与 AF 之间存在明确的双向因果关系。
