Integrated Genomic Approaches to Elucidate the Genetic Basis of Brugada Syndrome in Taiwanese Patients.

IF 2 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2025-10-18 eCollection Date: 2025-01-01 DOI:10.1177/11779322251385926
Chayanika Goswami, Jyh-Ming Jimmy Juang, Tzu-Pin Lu, Jinn-Moon Yang, Amrita Chattopadhyay, Eric Y Chuang
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Abstract

Brugada syndrome (BrS) is a rare cardiac arrhythmia with a complex and largely unexplained genetic basis. In this study, we analysed genomic data from 214 Taiwanese BrS cases and 1316 controls to uncover susceptibility loci using genome-wide association study (GWAS), copy number variation (CNV) analysis, and rare-variant association test (RVAT). Imputation with a population-specific Merged-TWN-panel yielded the highest accuracy across SNP categories. GWAS identified four genome-wide significant SNPs across three loci, including SCN10A, ZNF451, and RP11-510I5, with the ZNF451 locus showing a strong association (OR = 9.845, P = 6.8e-11). The total SNP-heritability for BrS was estimated at 0.18 (SE = 0.20), and SNPs located in the 3 risk loci regions accounted for 0.13 (SE = 0.02) of the phenotypic variance. Functional annotation revealed several regulatory non-coding SNPs, and gene-based analysis confirmed SCN10A as significant. Notably, ZNF451-AS1, a non-coding RNA gene overlapping the ZNF451 region, was identified via RVAT, suggesting that both common and rare variants at this locus contribute to BrS risk. CNV analysis further identified potential case-enriched regions, including a duplication involving HRAS. These findings underscore the importance of population-specific genomic resources and highlight ZNF451 as a key susceptibility locus, bridging both common and rare-variant contributions to BrS.

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Abstract Image

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整合基因组方法阐明台湾患者Brugada综合征的遗传基础。
Brugada综合征(BrS)是一种罕见的心律失常,其遗传基础复杂且大部分无法解释。本研究利用全基因组关联研究(GWAS)、拷贝数变异分析(CNV)和罕见变异关联检验(RVAT),分析214例台湾BrS病例和1316名对照者的基因组数据,以揭示BrS的易感位点。用特定人群的merge - twn面板进行代入,在SNP类别中获得了最高的准确性。GWAS鉴定出SCN10A、ZNF451和RP11-510I5 3个位点上的4个全基因组显著snp,其中ZNF451位点显示出较强的相关性(OR = 9.845, P = 6.8e-11)。BrS的总snp遗传力估计为0.18 (SE = 0.20),位于3个危险位点区域的snp占表型方差的0.13 (SE = 0.02)。功能注释显示了几个调节性非编码snp,基于基因的分析证实了SCN10A的显著性。值得注意的是,ZNF451- as1是一个与ZNF451区域重叠的非编码RNA基因,通过RVAT被鉴定出来,这表明该位点的常见和罕见变异都与BrS风险有关。CNV分析进一步确定了潜在的病例富集区,包括涉及HRAS的重复。这些发现强调了群体特异性基因组资源的重要性,并强调ZNF451是一个关键的易感性位点,连接了常见和罕见变异对BrS的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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