Causal Relationship Between Electrocardiogram Parameters and Brugada Syndrome: A Bidirectional Mendelian Randomization Study
Songcui Shen, Xiaolu Wang, Jingjuan Huang, Wenzhao Li

TL;DR
This study uses genetic data to show that certain ECG measurements can cause Brugada syndrome, a heart condition linked to sudden cardiac death.
Contribution
The study demonstrates a causal link between specific ECG parameters and Brugada syndrome using bidirectional Mendelian randomization.
Findings
ST duration and QRS duration were found to causally influence Brugada syndrome.
Brugada syndrome was also found to affect multiple ECG parameters like PR interval and QT interval.
Sensitivity analyses confirmed the robustness of the causal relationships identified.
Abstract
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…
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Taxonomy
TopicsCardiac electrophysiology and arrhythmias · RNA and protein synthesis mechanisms · Analog and Mixed-Signal Circuit Design
