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利用基因检测识别心源性猝死综合征。

Use of genetic testing to identify sudden cardiac death syndromes.

机构信息

Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN; Department of Medicine, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN.

Department of Medicine, Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, IN.

出版信息

Trends Cardiovasc Med. 2015 Nov;25(8):738-48. doi: 10.1016/j.tcm.2015.03.007. Epub 2015 Mar 12.

Abstract

Sudden cardiac death (SCD) is a leading cause of mortality worldwide. Although coronary artery disease remains the most common substrate for SCD, primary cardiac genetic diseases, presenting with or without structural heart abnormalities, play a significant role. In the last 30 years, the study of large family pedigrees allowed the discovery of causative genes unveiling the genetic basis of diseases such as primary cardiomyopathies and arrhythmia syndromes, which are known to increase the risk of SCD. However, recent technological advancement with the ability to perform massive parallel sequencing and analyze the entire genome has uncovered a higher level of complexity in the genetic predisposition for cardiac diseases, which are usually characterized by Mendelian inheritance patterns. Clinical genetic testing, historically shaped around a monogenic Mendelian disorder paradigm, is now facing the challenge to adopt and adapt to a more complex model in which a significant portion of subjects may present with multi-allelic inheritance involving additional genes that could modulate the severity and type of disease-related phenotypes. Here, we will try to provide a viewpoint that will hopefully foster further debate in the field.

摘要

心脏性猝死(SCD)是全球范围内主要的致死原因之一。尽管冠状动脉疾病仍然是 SCD 的最常见病因,但原发性心脏遗传性疾病,无论是否伴有结构性心脏异常,都起着重要作用。在过去的 30 年中,对大型家族谱系的研究使得能够发现致病基因,从而揭示了原发性心肌病和心律失常综合征等疾病的遗传基础,这些疾病已知会增加 SCD 的风险。然而,最近具有进行大规模并行测序和分析整个基因组能力的技术进步,揭示了心脏疾病遗传易感性的更高复杂性,这些疾病通常以孟德尔遗传模式为特征。临床遗传测试,历史上围绕单基因孟德尔疾病范式形成,现在面临着采用和适应更复杂模型的挑战,其中相当一部分患者可能表现出多等位基因遗传,涉及可能调节疾病相关表型严重程度和类型的其他基因。在这里,我们将尝试提供一个观点,希望能在该领域引发进一步的讨论。

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