Genetics can contribute to the prognosis of Brugada syndrome: a pilot model for risk stratification

Brugada综合征 基因分型 医学 危险分层 心源性猝死 内科学 优势比 猝死 全基因组关联研究 遗传关联 队列 人口分层 肿瘤科 遗传学 基因型 生物 单核苷酸多态性 基因
作者
Elena Sommariva,Carlo Pappone,Filippo Martinelli Boneschi,Chiara Di Resta,Maria Carbone,Erika Salvi,Pasquale Vergara,Simone Sala,Daniele Cusi,Maurizio Ferrari,Sara Benedetti
出处
期刊:European Journal of Human Genetics [Springer Nature]
卷期号:21 (9): 911-917 被引量:59
标识
DOI:10.1038/ejhg.2012.289
摘要

Brugada syndrome is an inherited arrhythmogenic disorder leading to sudden death predominantly in the 3–4 decade. To date the only reliable treatment is the implantation of a cardioverter defibrillator; however, better criteria for risk stratification are needed, especially for asymptomatic subjects. Brugada syndrome genetic bases have been only partially understood, accounting for <30% of patients, and have been poorly correlated with prognosis, preventing inclusion of genetic data in current guidelines. We designed an observational study to identify genetic markers for risk stratification of Brugada patients by exploratory statistical analysis. The presence of genetic variants, identified by SCN5A gene analysis and genotyping of 73 candidate polymorphisms, was correlated with the occurrence of major arrhythmic events in a cohort of 92 Brugada patients by allelic association and survival analysis. In all, 18 mutations were identified in the SCN5A gene, including 5 novel, and statistical analysis indicated that mutation carriers had a significantly increased risk of major arrhythmic events (P=0.024). In addition, we established association of five polymorphisms with major arrhythmic events occurrence and consequently elaborated a pilot risk stratification algorithm by calculating a weighted genetic risk score, including the associated polymorphisms and the presence of SCN5A mutation as function of their odds ratio. This study correlates for the first time the presence of genetic variants with increased arrhythmic risk in Brugada patients, representing a first step towards the design of a new risk stratification model.
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