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dc.contributor.authorGydush, Gregory
dc.contributor.authorNguyen, Erica
dc.contributor.authorBae, Jin H
dc.contributor.authorBlewett, Timothy
dc.contributor.authorRhoades, Justin
dc.contributor.authorReed, Sarah C
dc.contributor.authorShea, Douglas
dc.contributor.authorXiong, Kan
dc.contributor.authorLiu, Ruolin
dc.contributor.authorYu, Fangyan
dc.contributor.authorLeong, Ka Wai
dc.contributor.authorChoudhury, Atish D
dc.contributor.authorStover, Daniel G
dc.contributor.authorTolaney, Sara M
dc.contributor.authorKrop, Ian E
dc.contributor.authorChristopher Love, J
dc.contributor.authorParsons, Heather A
dc.contributor.authorMike Makrigiorgos, G
dc.contributor.authorGolub, Todd R
dc.contributor.authorAdalsteinsson, Viktor A
dc.date.accessioned2025-11-12T21:53:29Z
dc.date.available2025-11-12T21:53:29Z
dc.date.issued2022-03-17
dc.identifier.urihttps://hdl.handle.net/1721.1/163635
dc.description.abstractAssaying 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.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1038/s41551-022-00855-9en_US
dc.rightsCreative Commons Attribution-Noncommercial-ShareAlikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePubMed Centralen_US
dc.titleMassively parallel enrichment of low-frequency alleles enables duplex sequencing at low depthen_US
dc.typeArticleen_US
dc.identifier.citationGydush, G., Nguyen, E., Bae, J.H. et al. Massively parallel enrichment of low-frequency alleles enables duplex sequencing at low depth. Nat. Biomed. Eng 6, 257–266 (2022).en_US
dc.contributor.departmentBroad Institute of MIT and Harvarden_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.relation.journalNature Biomedical Engineeringen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2025-11-12T21:43:35Z
dspace.orderedauthorsGydush, G; Nguyen, E; Bae, JH; Blewett, T; Rhoades, J; Reed, SC; Shea, D; Xiong, K; Liu, R; Yu, F; Leong, KW; Choudhury, AD; Stover, DG; Tolaney, SM; Krop, IE; Christopher Love, J; Parsons, HA; Mike Makrigiorgos, G; Golub, TR; Adalsteinsson, VAen_US
dspace.date.submission2025-11-12T21:43:37Z
mit.journal.volume6en_US
mit.journal.issue3en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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