In silico analysis for determining the deleterious nonsynonymous single nucleotide polymorphisms of BRCA genes.

ABSTRACT: Recent advances in DNA sequencing techniques have led to an increase in the identification of single nucleotide polymorphisms (SNPs) in BRCA1 and BRCA2 genes, but no further information regarding the deleterious probability of many of them is available (Variants of Unknown Significance/VUS). As a result, in the current study, different sequence- and structure-based computational tools including SIFT, PolyPhen2, PANTHER, SNPs&GO, FATHMM, SNAP, PhD-SNP, Align-GVGD, and I-Mutant were utilized for determining how resulted BRCA protein is affected by corresponding missense mutations. FoldX was used to estimate mutational effects on the structural stability of BRCA proteins. Variants were considered extremely deleterious only when all tools predicted them to be deleterious.

SUBMITTER: Yadegari F 

PROVIDER: S-EPMC6995337 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature