Shen Songcui, Wang Xiaolu, Huang Jingjuan, Li Wenzhao
Department of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
Ann Noninvasive Electrocardiol. 2025 Mar;30(2):e70060. doi: 10.1111/anec.70060.
Brugada syndrome (BrS) is associated with an electrocardiogram (ECG), but the causal relationship remains unclear. This study aimed to assess the bidirectional causal relationship between ECG parameters and BrS using Mendelian randomization (MR) analysis.
A bidirectional MR analysis using data from the OpenGWAS database. Six ECG parameters, including PR interval, PP interval, ST duration, QRS duration, T wave duration, and QT interval, were included in the forward MR analysis with BrS as the outcome. In the reverse MR analysis, BrS was the exposure and the aforementioned ECG parameters were the outcomes. The inverse-variance weighted (IVW) method was the primary analytical approach, complemented by four other methods to account for potential pleiotropy. Sensitivity analyses were performed using Cochran's Q test, MR-Egger intercept, and leave-one-out analysis to evaluate heterogeneity and pleiotropy.
In the forward MR, genetically predicted ST duration (OR = 1.3478, 95% CI: 1.0611-1.7118, p = 0.014) and QRS duration (OR = 0.9582, 95% CI: 0.9208-0.9972, p = 0.036) showed significant associations with BrS. The reverse MR indicated that BrS was significantly associated with PR interval, QRS duration, P wave duration, and QT interval (all p < 0.05). Sensitivity analyses confirmed the robustness of the results in both forward and reverse MR analyses. However, there were significant horizontal pleiotropy and heterogeneity in reverse MR analysis.
This MR study supported a causal effect of ECG parameters, including ST duration and QRS duration, on BrS development.
Brugada综合征(BrS)与心电图(ECG)有关,但其因果关系仍不明确。本研究旨在使用孟德尔随机化(MR)分析评估ECG参数与BrS之间的双向因果关系。
使用来自OpenGWAS数据库的数据进行双向MR分析。在以BrS为结局的正向MR分析中,纳入了六个ECG参数,包括PR间期、PP间期、ST段时限、QRS时限、T波时限和QT间期。在反向MR分析中,以BrS为暴露因素,上述ECG参数为结局。采用逆方差加权(IVW)法作为主要分析方法,并辅以其他四种方法以考虑潜在的多效性。使用Cochran's Q检验、MR-Egger截距和留一法分析进行敏感性分析,以评估异质性和多效性。
在正向MR中,遗传预测的ST段时限(OR = 1.3478,95%CI:1.0611-1.7118,p = 0.014)和QRS时限(OR = 0.9582,95%CI:0.9208-0.9972,p = 0.036)与BrS显著相关。反向MR表明,BrS与PR间期、QRS时限、P波时限和QT间期显著相关(均p < 0.05)。敏感性分析证实了正向和反向MR分析结果的稳健性。然而,反向MR分析中存在显著的水平多效性和异质性。
这项MR研究支持包括ST段时限和QRS时限在内的ECG参数对BrS发生的因果效应。