Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
Broad Institute · Harvard University · +374 more institutions
Abstract
Abstract The discovery of drivers of cancer has traditionally focused on protein-coding genes 1–4 . 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) Consortium 5 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…
Citation impact
- FWCI
- 36.77
- Percentile
- 100%
- References
- 73
Authors
1621- EREsther Rheinbay
Broad Institute, Harvard University, Massachusetts General Hospital, Center for Cancer Research
- MMMorten Muhlig Nielsen
Aarhus University Hospital
- FAFederico Abascal
Wellcome Sanger Institute
- JAJeremiah A. Wala
Broad Institute, Harvard University
- OSOfer Shapira
Broad Institute, Dana-Farber Cancer Institute
Topics & keywords
- Somatic cell
- Genome
- Biology
- Coding (social sciences)
- Genetics
- Computational biology
- Evolutionary biology
- Gene
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