articleNatureFeb 5, 2020HYBRID OA

Pan-cancer analysis of whole genomes

LALauri A. AaltonenFAFederico AbascalAAAdam AbeshouseHAHiroyuki AburataniDJDavid J. Adams

University of Helsinki · Wellcome Sanger Institute · +407 more institutions

PubMed
Indexed incrossrefdatacitepubmed

Abstract

Abstract Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale 1–3 . Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4–5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases…

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Topics & keywords

Topics
Keywords
  • Genome
  • Cancer
  • Computational biology
  • Biology
  • Genetics
  • Evolutionary biology
  • Gene
UN Sustainable Development Goals
  • Partnerships for the goals
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