Evidence map›Paper›PMID 40070266›Full record

ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2025

Causal Relationship Between Electrocardiogram Parameters and Brugada Syndrome: A Bidirectional Mendelian Randomization Study.

Songcui Shen, Xiaolu Wang, Jingjuan Huang, Wenzhao Li

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Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Songcui ShenDepartment of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
Xiaolu WangDepartment of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
Jingjuan HuangDepartment of Cardiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine, Shanghai, China.
Wenzhao LiDepartment of Cardiac Function, Shanghai Chest Hospital, Shanghai Jiao Tong University School Of Medicine, Shanghai, China.ORCID 0009-0003-5706-2990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrugada 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.

methodsA 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.

resultsIn 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.

conclusionsThis MR study supported a causal effect of ECG parameters, including ST duration and QRS duration, on BrS development.

Indexed as

Brugada SyndromeElectrocardiographyMendelian Randomization AnalysisHumansMalebidirectional Mendelian randomizationBrugada syndromecausal relationshipECG parameters

Identifiers

PMID40070266
PMCPMC11897611

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