在神经发育疾病的诊断中使用大规模平行测序的机会和成就

Q4 Medicine
T. Kozhanova
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引用次数: 0

摘要

遗传因素对神经系统疾病发展的贡献早已被认识到,并且大多数进展加上使用分子遗传技术导致识别与发育中的神经系统病理相关的基因。该综述旨在展示在神经系统损伤疾病的诊断中使用大规模平行测序技术的机会和成就。目前,新一代测序(NGS)技术在癫痫基因诊断中的应用主要依赖于靶向基因面板、全外显子组测序或全基因组测序。将遗传和基因组分析整合到临床实践中,为以前未确诊的患者建立明确的分子诊断,将避免进一步的不必要诊断,因此随着时间的推移,将节省更多的医疗保健成本。生物标志物的使用将有助于疾病结果的预测和治疗决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opportunities and achievements of using massive parallel sequencing in the diagnosis of neurodevelopmental diseases
The contribution of genetic factors to development of neurological diseases has long been recognized, and the majority of the advances coupled to using molecular genetic technologies resulted in identifying genes associated with the pathology of developing nervous system. The review is aimed at demonstrating opportunities and achievements of using massive parallel sequencing technology in the diagnosis of a disease with damage to nervous system. Currently, next-generation sequencing (NGS) technology in the genetic diagnosis of epilepsy relies on targeted gene panels, whole exome sequencing or whole genome sequencing. Integrating genetic and genomic analysis into clinical practice to establish clear molecular diagnoses for previously undiagnosed patients will avoid further unnecessary diagnosis and therefore lead to greater healthcare cost savings over time. The use of biomarkers will contribute to the prediction of disease outcome and therapy decision-making.
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来源期刊
Epilepsy and Paroxysmal Conditions
Epilepsy and Paroxysmal Conditions Medicine-Neurology (clinical)
CiteScore
0.90
自引率
0.00%
发文量
31
审稿时长
8 weeks
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