Computational approaches to identify functional genetic variants in cancer genomes.

doi:10.1038/nmeth.2562

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Article

Computational approaches to identify functional genetic variants in cancer genomes.

Nature methods - 1 Aug 2013

Gonzalez-Perez Abel, Mustonen Ville, Reva Boris, Ritchie Graham R S, Creixell Pau, Karchin Rachel, Vazquez Miguel, Fink J Lynn, Kassahn Karin S, Pearson John V, Bader Gary D, Boutros Paul C, Muthuswamy Lakshmi, Ouellette B F Francis, Reimand Jüri, Linding Rune, Shibata Tatsuhiro, Valencia Alfonso, Butler Adam, Dronov Serge, Flicek Paul, Shannon Nick B, Carter Hannah, Ding Li, Sander Chris, Stuart Josh M, Stein Lincoln D, Lopez-Bigas Nuria

Abstract excerpt

The International Cancer Genome Consortium (ICGC) aims to catalog genomic abnormalities in tumors from 50 different cancer types. Genome sequencing reveals hundreds to thousands of somatic mutations in each tumor but only a minority of these drive tumor progression. We present the result of discussions within the ICGC on how to address the challenge of identifying mutations that contribute to oncogenesis, tumor...

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PMID: 23900255
DOI: 10.1038/nmeth.2562
PMCID: PMC3919555

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