外显子组测序在家族三重奏中的应用作为心肌病的诊断工具

I. Gómez-Manjón, A. Moreno-Izquierdo, M. Moreno-García, A. Delmiro, F. J. Fernández-Martínez
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引用次数: 1

摘要

遗传性心脏病是一组与猝死风险相关的主要流行疾病。这些疾病影响年轻人的频率很高,其遗传基础近年来已为人所知。超过100个基因与这些疾病有关。新一代测序技术的出现使人们能够更好地了解相关基因,尽管如此,在相当多的患者中,并没有检测到相关的遗传缺陷。方法在本研究中,分析了外显子组测序在一个家族三人组中作为诊断工具的效用。这是实现了一项回顾性研究肥厚性心肌病病例与确定的遗传原因。测序研究中产生的数据通过三种生物信息学工具进行分析:ANNOVAR (Wang K et al), Ion ReporterTM Software (Thermo Fisher)。美国)和QIAGEN的Ingenuity®Variant Analysis™软件(QIAGEN;雷德伍德城)。结果通过外显子组研究,在指标病例中检测到两个可能致病的变异:KCND3基因c1292G>A, TTN基因c.67087C>T。此外,鉴定出5种可能不是致病性的变异。结论Exome新一代测序技术比Sanger或panel测序更具有灵活性,是一种更实用的工具。它可以分析与病理相关的兴趣区域,也可以发现新的变异及其与疾病的关联。
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Utility of Exome Sequencing in A Familial Trio as A Diagnostic Tool in Cardiomyopathies
Introduction Hereditary heart diseases are a set of major prevalence diseases that are associated with risk of sudden death. These diseases affect with high frequency young individuals and whose genetic basis has been known in recent years. More than 100 genes are involved in these diseases. The emergence of next-generation sequencing is enabling a greater understanding of the genes involved, despite this, in a significant number of patients it is not detected the associated genetic defect. Methods In this study it was analyzed the utility of exome sequencing in a familial trio as a diagnostic tool. It was realized a retrospective study of a hypertrophic miocardiopathy case with identified genetic cause. The data generated in the sequencing study was analyzed by three bioinformatics tools: ANNOVAR (Wang K et al), Ion ReporterTM Software (Thermo Fisher. USA) and QIAGEN’s Ingenuity® Variant Analysis™ software (QIAGEN. Redwood City). Results Due to exome study, in the index case, two possibly pathogenic variants were detected: c1292G>A, in KCND3 gene and c.67087C>T, in TTN gene. Additionally, 5 probably not pathogenic variants were identified. Conclusion Exome’s next-generation sequencing is a more useful tool than Sanger or panel sequencing, due to the flexibility of it. It allows analyze interest region associated with pathology and also discover new variants and their association with diseases.
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