生物
遗传学
复式(建筑)
DNA测序
编解码器
突变
微卫星
种系突变
计算生物学
DNA
基因
计算机科学
等位基因
计算机硬件
作者
Jin H. Bae,Ruolin Liu,Eugenia Roberts,Erica Nguyen,Shervin Tabrizi,Justin Rhoades,Timothy Blewett,Kan Xiong,Gregory Gydush,Douglas Shea,Zhenyi An,Sahil Patel,Ju Cheng,Sainetra Sridhar,Mei Hong Liu,Emilie Lassen,Anne‐Bine Skytte,Marta Grońska-Pęski,Jonathan E. Shoag,Gilad D. Evrony
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2023-04-27
卷期号:55 (5): 871-879
被引量:41
标识
DOI:10.1038/s41588-023-01376-0
摘要
Abstract Detecting mutations from single DNA molecules is crucial in many fields but challenging. Next-generation sequencing (NGS) affords tremendous throughput but cannot directly sequence double-stranded DNA molecules (‘single duplexes’) to discern the true mutations on both strands. Here we present Concatenating Original Duplex for Error Correction (CODEC), which confers single duplex resolution to NGS. CODEC affords 1,000-fold higher accuracy than NGS, using up to 100-fold fewer reads than duplex sequencing. CODEC revealed mutation frequencies of 2.72 × 10 −8 in sperm of a 39-year-old individual, and somatic mutations acquired with age in blood cells. CODEC detected genome-wide, clonal hematopoiesis mutations from single DNA molecules, single mutated duplexes from tumor genomes and liquid biopsies, microsatellite instability with 10-fold greater sensitivity and mutational signatures, and specific tumor mutations with up to 100-fold fewer reads. CODEC enables more precise genetic testing and reveals biologically significant mutations, which are commonly obscured by NGS errors.
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