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dc.contributor.authorPCAWG Consortium
dc.contributor.authorMC3 Working Group
dc.contributor.authorPCAWG novel somatic mutation calling methods working group
dc.contributor.authorBailey, Matthew H.
dc.contributor.authorMeyerson, William U.
dc.contributor.authorDursi, Lewis Jonathan
dc.contributor.authorWang, Liang-Bo
dc.contributor.authorDong, Guanlan
dc.contributor.authorLiang, Wen-Wei
dc.contributor.authorWeerasinghe, Amila
dc.contributor.authorLi, Shantao
dc.contributor.authorLi, Yize
dc.contributor.authorKelso, Sean
dc.contributor.authorSaksena, Gordon
dc.contributor.authorEllrott, Kyle
dc.contributor.authorWendl, Michael C.
dc.contributor.authorWheeler, David A.
dc.contributor.authorGetz, Gad
dc.contributor.authorSimpson, Jared T.
dc.contributor.authorGerstein, Mark B.
dc.contributor.authorDing, Li
dc.date.accessioned2020-12-16T16:30:08Z
dc.date.available2020-12-16T16:30:08Z
dc.date.issued2020-09-21
dc.identifier271692684
dc.identifier24414627-bd4d-4ecf-a6b9-db4bf8f2cea7
dc.identifier85079069163
dc.identifier.citationPCAWG Consortium , MC3 Working Group , PCAWG novel somatic mutation calling methods working group , Bailey , M H , Meyerson , W U , Dursi , L J , Wang , L-B , Dong , G , Liang , W-W , Weerasinghe , A , Li , S , Li , Y , Kelso , S , Saksena , G , Ellrott , K , Wendl , M C , Wheeler , D A , Getz , G , Simpson , J T , Gerstein , M B & Ding , L 2020 , ' Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples ' , Nature Communications , vol. 11 , 4748 . https://doi.org/10.1038/s41467-020-18151-yen
dc.identifier.issn2041-1723
dc.identifier.otherRIS: urn:EED5606E37268DD04AF06D3CFADE8CD6
dc.identifier.otherRIS: Bailey2020
dc.identifier.otherORCID: /0000-0002-7876-7338/work/85568435
dc.identifier.urihttps://hdl.handle.net/10023/21162
dc.description.abstractThe 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.
dc.format.extent27
dc.format.extent2534133
dc.language.isoeng
dc.relation.ispartofNature Communicationsen
dc.subjectQH426 Geneticsen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectDASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subject.lccQH426en
dc.subject.lccRC0254en
dc.titleRetrospective evaluation of whole exome and genome mutation calls in 746 cancer samplesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Cellular Medicine Divisionen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.identifier.doihttps://doi.org/10.1038/s41467-020-18151-y
dc.description.statusPeer revieweden
dc.identifier.urlhttps://www.nature.com/articles/s41467-020-20128-wen


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