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Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.


ABSTRACT: The discovery of drivers of cancer has traditionally focused on protein-coding genes1-4. Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium5 of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). For point mutations, we developed a statistically rigorous strategy for combining significance levels from multiple methods of driver discovery that overcomes the limitations of individual methods. For structural variants, we present two methods of driver discovery, and identify regions that are significantly affected by recurrent breakpoints and recurrent somatic juxtapositions. Our analyses confirm previously r

SUBMITTER: Rheinbay E 

PROVIDER: S-EPMC7054214 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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