生物
医学诊断
遗传诊断
基因检测
计算生物学
遗传学
基因
医学
病理
作者
Katherine Koczwara,Nicole J. Lake,Alec M. DeSimone,Monkol Lek
标识
DOI:10.1016/j.tig.2022.07.001
摘要
Neuromuscular disorders (NMDs) are a wide-ranging group of diseases that seriously affect the quality of life of affected individuals. The development of next-generation sequencing revolutionized the diagnosis of NMD, enabling the discovery of hundreds of NMD genes and many more pathogenic variants. However, the diagnostic yield of genetic testing in NMD cohorts remains incomplete, indicating a large number of genetic diagnoses are not identified through current methods. Fortunately, recent advancements in sequencing technologies, analytical tools, and high-throughput functional screening provide an opportunity to circumvent current challenges. Here, we discuss reasons for missing genetic diagnoses in NMD, how emerging technologies and tools can overcome these hurdles, and examine future approaches to improving diagnostic yields in NMD.
科研通智能强力驱动
Strongly Powered by AbleSci AI