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dc.date.accessioned2022-02-10T22:40:16Z
dc.date.available2021-09-20T18:21:32Z
dc.date.available2022-02-10T22:40:16Z
dc.date.issued2020-09
dc.date.submitted2019-03
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/1721.1/132260.2
dc.description.abstract© 2020, The Author(s). The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/s41467-020-18151-yen_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleRetrospective evaluation of whole exome and genome mutation calls in 746 cancer samplesen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalNature Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-01-07T17:48:29Z
dspace.orderedauthorsBailey, MH; Meyerson, WU; Dursi, LJ; Wang, LB; Dong, G; Liang, WW; Weerasinghe, A; Li, S; Kelso, S; Akbani, R; Anur, P; Bailey, MH; Buchanan, A; Chiotti, K; Covington, K; Creason, A; Ding, L; Ellrott, K; Fan, Y; Foltz, S; Getz, G; Hale, W; Haussler, D; Hess, JM; Hutter, CM; Kandoth, C; Kasaian, K; Kasapi, M; Larson, D; Leshchiner, I; Letaw, J; Ma, S; McLellan, MD; Men, Y; Mills, GB; Niu, B; Peto, M; Radenbaugh, A; Reynolds, SM; Saksena, G; Sofia, H; Stewart, C; Struck, AJ; Stuart, JM; Wang, W; Weinstein, JN; Wheeler, DA; Wong, CK; Xi, L; Ye, K; Bailey, MH; Niu, B; Bieg, M; Boutros, PC; Buchhalter, I; Butler, AP; Chen, K; Chong, Z; Ding, L; Drechsel, O; Jonathan Dursi, L; Eils, R; Espiritu, SMG; Fan, Y; Fulton, RS; Gao, S; Gelpi, JLL; Gerstein, MB; Getz, G; Gonzalez, S; Gut, IG; Hach, F; Heinold, MC; Hess, JM; Hinton, J; Hu, T; Huang, V; Huang, Y; Hutter, B; Jones, DR; Jung, J; Jäger, N; Kim, HL; Kleinheinz, K; Kumar, S; Kumar, Y; Lalansingh, CM; Letunic, I; Livitz, D; Ma, EZ; Maruvka, YE; Mashl, RJ; McLellan, MD; Menzies, A; Milovanovic, A; Nielsen, MM; Ossowski, S; Paramasivam, Nen_US
dspace.date.submission2021-01-07T17:48:31Z
mit.journal.volume11en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work Neededen_US


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