迈向罕见病临床长读基因组测序

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Jesper Eisfeldt, Marlene Ek, Magnus Nordenskjöld, Anna Lindstrand
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引用次数: 0

摘要

基因诊断是由技术进步推动的,在研究、临床和工业之间形成了紧密的界面,使新技术能够迅速实施。短读基因组和外显子组测序是目前临床遗传学的最新技术,可以检测基因组中广泛的遗传变异。然而,尽管取得了这些进展,但超过一半的罕见病患者在基因组调查后仍未得到诊断。长读全基因组测序(LR-WGS)是一项很有前途的技术,可以识别以前难以检测的变异,同时还可以进行分阶段和甲基化分析,并有可能产生完整的个人组装。为了为临床使用LR-WGS铺平道路,临床基因组界必须建立标准化的协议和质量参数,同时开发创新的数据分析和解释工具。从这个角度来看,我们将探讨将LR-WGS纳入常规临床诊断的主要挑战和益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Toward clinical long-read genome sequencing for rare diseases

Toward clinical long-read genome sequencing for rare diseases

Genetic diagnostics is driven by technological advances, forming a tight interface between research, clinic and industry, which enables rapid implementation of new technologies. Short-read genome and exome sequencing, the current state of the art in clinical genetics, can detect a broad spectrum of genetic variants across the genome. However, despite these advancements, more than half of individuals with rare diseases remain undiagnosed after genomic investigations. Long-read whole-genome sequencing (LR-WGS) is a promising technology that identifies previously difficult-to-detect variants while also enabling phasing and methylation analysis and has the potential of generating complete personal assemblies. To pave the way for clinical use of LR-WGS, the clinical genomic community must establish standardized protocols and quality parameters while also developing innovative tools for data analysis and interpretation. In this Perspective, we explore the key challenges and benefits in integrating LR-WGS into routine clinical diagnostics.

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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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