Massively parallel enrichment of low-frequency alleles enables duplex sequencing at low depth

大规模并行测序 单细胞测序 外显子组测序 DNA测序 生物 遗传学 深度测序 基因座(遗传学) 霰弹枪测序 桑格测序 外显子组 离子半导体测序 计算生物学 突变 DNA 基因组 基因
作者
Gregory Gydush,Erica Nguyen,Jin H. Bae,Timothy Blewett,Justin Rhoades,Sarah C. Reed,Douglas Shea,Kan Xiong,Ruolin Liu,Fangyan Yu,Wai Yie Leong,Atish D. Choudhury,Daniel G. Stover,Sara M. Tolaney,Ian E. Krop,J. Christopher Love,Heather A. Parsons,G. Mike Makrigiorgos,Todd R. Golub,Viktor A. Adalsteinsson
出处
期刊:Nature Biomedical Engineering [Springer Nature]
卷期号:6 (3): 257-266 被引量:76
标识
DOI:10.1038/s41551-022-00855-9
摘要

Assaying for large numbers of low-frequency mutations requires sequencing at extremely high depth and accuracy. Increasing sequencing depth aids the detection of low-frequency mutations yet limits the number of loci that can be simultaneously probed. Here we report a method for the accurate tracking of thousands of distinct mutations that requires substantially fewer reads per locus than conventional hybrid-capture duplex sequencing. The method, which we named MAESTRO (for minor-allele-enriched sequencing through recognition oligonucleotides), combines massively parallel mutation enrichment with duplex sequencing to track up to 10,000 low-frequency mutations, with up to 100-fold fewer reads per locus. We show that MAESTRO can be used to test for chimaerism by tracking donor-exclusive single-nucleotide polymorphisms in sheared genomic DNA from human cell lines, to validate whole-exome sequencing and whole-genome sequencing for the detection of mutations in breast-tumour samples from 16 patients, and to monitor the patients for minimal residual disease via the analysis of cell-free DNA from liquid biopsies. MAESTRO improves the breadth, depth, accuracy and efficiency of mutation testing by sequencing.
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