Domain landscapes of somatic mutations in cancer.

ABSTRACT:

Background

Large-scale tumor sequencing projects are now underway to identify genetic mutations that drive tumor initiation and development. Most studies take a gene-based approach to identifying driver mutations, highlighting genes mutated in a large percentage of tumor samples as those likely to contain driver mutations. However, this gene-based approach usually does not consider the position of the mutation within the gene or the functional context the position of the mutation provides. Here we introduce a novel method for mapping mutations to distinct protein domains, not just individual genes, in which they occur, thus providing the functional context for how the mutation contributes to disease. Furthermore, aggregating mutations from all genes containing a specific protein do

SUBMITTER: Nehrt NL 

PROVIDER: S-EPMC3394412 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature