计算生物学
生物
DNA测序
遗传学
计算机科学
基因
作者
Jun An,Kexin Guo,PingAn Hu
出处
期刊:PubMed
日期:2025-02-10
卷期号:42 (2): 238-243
标识
DOI:10.3760/cma.j.cn511374-20240821-00452
摘要
Next generation sequencing (NGS) technologies, including whole exome sequencing (WES) and whole genome sequencing (WGS), have greatly increased the diagnostic rates for genetic disorders. However, challenges still remain with the interpretation of variants of uncertain significance (VUS), variants in non-coding regions, and understanding of the effects of such variants on downstream genes. As a result, the diagnostic rates have typically ranged from 25% to 57%. RNA sequencing (RNA-seq) can complement DNA sequencing by revealing the functional consequences of genetic variants through the detection of aberrant gene expression, abnormal splicing events, allele-specific expression, and fusion gene expression. This has further increased the diagnostic rate of genetic disorders and enriched their therapeutic strategies. By broadening the scope of conventional genomic diagnostic methods, RNA-seq is poised to become a novel tool for the diagnosis of genetic disorders. This review has explored the methodologies and technical characteristics of RNA-seq by focusing on its recent advancement in clinical diagnosis, applications in undiagnosed genetic disorders, and the main challenges encountered.
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