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我们从下一代测序中学到了什么:对神经退行性疾病的基因诊断和发病机制理解的贡献。

What we have learned from the next-generation sequencing: Contributions to the genetic diagnoses and understanding of pathomechanisms of neurodegenerative diseases.

作者信息

Liu Yo-Tsen, Lee Yi-Chung, Soong Bing-Wen

机构信息

a Department of Neurology , Neurological Institute, Taipei Veterans General Hospital , Taipei , Taiwan.

b Departement of Neurology, National Yang-Ming University School of Medicine , Taipei , Taiwan.

出版信息

J Neurogenet. 2015;29(2-3):103-12. doi: 10.3109/01677063.2015.1060972. Epub 2015 Jul 9.

Abstract

Since its first availability in 2009, the next-generation sequencing (NGS) has been proved to be a powerful tool in identifying disease-associated variants in many neurological diseases, such as spinocerebellar ataxias, Charcot-Marie-Tooth disease, hereditary spastic paraplegia, and amyotrophic lateral sclerosis. Whole exome sequencing and whole genome sequencing are efficient for identifying variants in novel or unexpected genes responsible for inherited diseases, whereas targeted sequencing is useful in detecting variants in previously known disease-associated genes. The trove of genetic data yielded by NGS has made a significant impact on the clinical diagnoses while contributing hugely on the discovery of molecular pathomechanisms underlying these diseases. Nonetheless, elucidation of the pathogenic roles of the variants identified by NGS is challenging. Establishment of consensus guidelines and development of public genomic/phenotypic databases are thus vital to facilitate data sharing and validation.

摘要

自2009年首次问世以来,下一代测序(NGS)已被证明是识别许多神经疾病(如脊髓小脑共济失调、夏科-马里-图斯病、遗传性痉挛性截瘫和肌萎缩侧索硬化症)中与疾病相关变异的有力工具。全外显子组测序和全基因组测序对于识别导致遗传性疾病的新的或意外基因中的变异很有效,而靶向测序则有助于检测先前已知的疾病相关基因中的变异。NGS产生的大量遗传数据对临床诊断产生了重大影响,同时也极大地推动了这些疾病潜在分子发病机制的发现。尽管如此,阐明由NGS识别的变异的致病作用具有挑战性。因此,建立共识指南和开发公共基因组/表型数据库对于促进数据共享和验证至关重要。

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