| dc.contributor.author | Gydush, Gregory | |
| dc.contributor.author | Nguyen, Erica | |
| dc.contributor.author | Bae, Jin H | |
| dc.contributor.author | Blewett, Timothy | |
| dc.contributor.author | Rhoades, Justin | |
| dc.contributor.author | Reed, Sarah C | |
| dc.contributor.author | Shea, Douglas | |
| dc.contributor.author | Xiong, Kan | |
| dc.contributor.author | Liu, Ruolin | |
| dc.contributor.author | Yu, Fangyan | |
| dc.contributor.author | Leong, Ka Wai | |
| dc.contributor.author | Choudhury, Atish D | |
| dc.contributor.author | Stover, Daniel G | |
| dc.contributor.author | Tolaney, Sara M | |
| dc.contributor.author | Krop, Ian E | |
| dc.contributor.author | Christopher Love, J | |
| dc.contributor.author | Parsons, Heather A | |
| dc.contributor.author | Mike Makrigiorgos, G | |
| dc.contributor.author | Golub, Todd R | |
| dc.contributor.author | Adalsteinsson, Viktor A | |
| dc.date.accessioned | 2025-11-12T21:53:29Z | |
| dc.date.available | 2025-11-12T21:53:29Z | |
| dc.date.issued | 2022-03-17 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/163635 | |
| dc.description.abstract | 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. | en_US |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media LLC | en_US |
| dc.relation.isversionof | 10.1038/s41551-022-00855-9 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-ShareAlike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | PubMed Central | en_US |
| dc.title | Massively parallel enrichment of low-frequency alleles enables duplex sequencing at low depth | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Gydush, 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.department | Broad Institute of MIT and Harvard | en_US |
| dc.contributor.department | Koch Institute for Integrative Cancer Research at MIT | en_US |
| dc.relation.journal | Nature Biomedical Engineering | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2025-11-12T21:43:35Z | |
| dspace.orderedauthors | Gydush, 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, VA | en_US |
| dspace.date.submission | 2025-11-12T21:43:37Z | |
| mit.journal.volume | 6 | en_US |
| mit.journal.issue | 3 | en_US |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |