An analysis of mutational signatures of synonymous mutations across 15 cancer types.

ABSTRACT:

Background

Synonymous mutations have been identified to play important roles in cancer development, although they do not modify the protein sequences. However, relatively little research has specifically delineated the functionality of synonymous mutations in cancer.

Results

We investigated the nucleotide-based and amino acid-based features of synonymous mutations across 15 cancer types from The Cancer Genome Atlas (TCGA), and revealed novel driver candidates by identifying hotspot mutations. Firstly, synonymous mutations were analyzed between TCGA and 1000 Genomes Project at nucleotide and amino acid levels. We found that C:G → T:A transitions were the most frequent single-base substitutions, and leucine underwent the largest number of synonymous mutations in TCGA due to pr

SUBMITTER: Bin Y 

PROVIDER: S-EPMC6900878 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature