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Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

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...

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Autores principales: Bailey, Matthew H., Meyerson, William U., Dursi, Lewis Jonathan, Wang, Liang-Bo, Dong, Guanlan, Liang, Wen-Wei, Weerasinghe, Amila, Li, Shantao, Kelso, Sean, Saksena, Gordon, Ellrott, Kyle, Wendl, Michael C., Wheeler, David A., Getz, Gad, Simpson, Jared T., Gerstein, Mark B., Ding, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505971/
https://www.ncbi.nlm.nih.gov/pubmed/32958763
http://dx.doi.org/10.1038/s41467-020-18151-y
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author Bailey, Matthew H.
Meyerson, William U.
Dursi, Lewis Jonathan
Wang, Liang-Bo
Dong, Guanlan
Liang, Wen-Wei
Weerasinghe, Amila
Li, Shantao
Kelso, Sean
Saksena, Gordon
Ellrott, Kyle
Wendl, Michael C.
Wheeler, David A.
Getz, Gad
Simpson, Jared T.
Gerstein, Mark B.
Ding, Li
author_facet Bailey, Matthew H.
Meyerson, William U.
Dursi, Lewis Jonathan
Wang, Liang-Bo
Dong, Guanlan
Liang, Wen-Wei
Weerasinghe, Amila
Li, Shantao
Kelso, Sean
Saksena, Gordon
Ellrott, Kyle
Wendl, Michael C.
Wheeler, David A.
Getz, Gad
Simpson, Jared T.
Gerstein, Mark B.
Ding, Li
author_sort Bailey, Matthew H.
collection PubMed
description 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.
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spelling pubmed-75059712020-10-05 Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples Bailey, Matthew H. Meyerson, William U. Dursi, Lewis Jonathan Wang, Liang-Bo Dong, Guanlan Liang, Wen-Wei Weerasinghe, Amila Li, Shantao Kelso, Sean Saksena, Gordon Ellrott, Kyle Wendl, Michael C. Wheeler, David A. Getz, Gad Simpson, Jared T. Gerstein, Mark B. Ding, Li Nat Commun Article 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. Nature Publishing Group UK 2020-09-21 /pmc/articles/PMC7505971/ /pubmed/32958763 http://dx.doi.org/10.1038/s41467-020-18151-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bailey, Matthew H.
Meyerson, William U.
Dursi, Lewis Jonathan
Wang, Liang-Bo
Dong, Guanlan
Liang, Wen-Wei
Weerasinghe, Amila
Li, Shantao
Kelso, Sean
Saksena, Gordon
Ellrott, Kyle
Wendl, Michael C.
Wheeler, David A.
Getz, Gad
Simpson, Jared T.
Gerstein, Mark B.
Ding, Li
Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
title Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
title_full Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
title_fullStr Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
title_full_unstemmed Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
title_short Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
title_sort retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7505971/
https://www.ncbi.nlm.nih.gov/pubmed/32958763
http://dx.doi.org/10.1038/s41467-020-18151-y
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