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

Gregory GydushErica NguyenJin H BaeTimothy BlewettJustin RhoadesSarah C ReedDouglas SheaKan XiongRuolin LiuFangyan YuKa Wai LeongAtish D ChoudhuryDaniel G StoverSara M TolaneyIan E KropJohn Christopher LoveHeather A ParsonsG Mike MakrigiorgosTodd R GolubViktor A Adalsteinsson
Published in: Nature biomedical engineering (2022)
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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