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下一代测序技术在阿尔茨海默病诊断中的应用:挑战与未来展望

Intervention of next-generation sequencing in diagnosis of Alzheimer's disease: challenges and future prospects.

作者信息

Chandy Tijimol

机构信息

MedGenome Labs Pvt. Ltd., Bangalore-560100, Karnataka, India.

出版信息

Dement Neuropsychol. 2023 Aug 7;17:e20220025. doi: 10.1590/1980-5764-DN-2022-0025. eCollection 2023.

Abstract

Clinical diagnosis of several neurodegenerative disorders based on clinical phenotype is challenging due to its heterogeneous nature and overlapping disease manifestations. Therefore, the identification of underlying genetic mechanisms is of paramount importance for better diagnosis and therapeutic regimens. With the emergence of next-generation sequencing, it becomes easier to identify all gene variants in the genome simultaneously, with a system-wide and unbiased approach. Presently various bioinformatics databases are maintained on discovered gene variants and phenotypic indications are available online. Since individuals are unique in their genome, evaluation based on their genetic makeup helps evolve the diagnosis, counselling, and treatment process at the personal level. This article aims to briefly summarize the utilization of next-generation sequencing in deciphering the genetic causes of Alzheimer's disease and address the limitations of whole genome and exome sequencing.

摘要

由于神经退行性疾病的临床表型具有异质性且疾病表现相互重叠,基于临床表型对几种神经退行性疾病进行临床诊断具有挑战性。因此,识别潜在的遗传机制对于更好的诊断和治疗方案至关重要。随着下一代测序技术的出现,采用全系统且无偏倚的方法同时识别基因组中的所有基因变异变得更加容易。目前,已建立了各种关于已发现基因变异的生物信息学数据库,并且在线提供了表型指征。由于个体的基因组是独特的,基于其基因组成进行评估有助于在个人层面改进诊断、咨询和治疗过程。本文旨在简要总结下一代测序技术在解读阿尔茨海默病遗传病因方面的应用,并探讨全基因组测序和外显子组测序的局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/193f/10417152/4f0e6c5046df/1980-5764-DN-17-e20220025-gf01.jpg

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