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

机译:遗传学可有助于预示Brugada综合征:风险分层的试验模型

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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.
机译:Brugada综合征是一种遗传性心律失常性疾病,主要在3-4年内导致猝死。迄今为止,唯一可靠的治疗方法是植入心脏复律除颤器。但是,需要更好的风险分层标准,尤其是对于无症状的受试者。 Brugada综合征的遗传基础仅被部分了解,占患者的30%以下,并且与预后的相关性很差,从而阻止了将遗传数据纳入当前指南。我们设计了一项观察性研究,通过探索性统计分析来识别Brugada患者风险分层的遗传标记。通过SCN5A基因分析和73个候选多态性的基因分型确定的遗传变异与等位基因关联和生存分析的92名Brugada患者队列中主要心律失常事件的发生相关。总共在SCN5A基因中鉴定出18个突变,包括5个新突变,统计分析表明,突变携带者具有重大心律失常事件的风险显着增加(P = 0.024)。此外,我们建立了五个多态性与主要心律失常事件发生的关联,并因此通过计算加权遗传风险评分(包括关联的多态性和SCN5A突变的存在与否,通过其比值比)来制定了试验性风险分层算法。这项研究首次将遗传变量与Brugada患者心律失常风险增加相关联,这代表了设计新的风险分层模型的第一步。

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