Functional annotation of risk loci identified through genome-wide association studies for prostate cancer.

ABSTRACT:

Background

The majority of established prostate cancer (PCa) risk-associated single nucleotide polymorphisms (SNPs) identified from genome-wide association studies do not fall into protein coding regions. Therefore, the mechanisms by which these SNPs affect PCa risk remain unclear. Here, we used a series of bioinformatic tools and databases to provide possible molecular insights into the actions of risk SNPs.

Methodology/principal findings

We performed a comprehensive assessment of the potential functional impact of 33 SNPs that were identified and confirmed as associated with PCa risk in previous studies. For these 33 SNPs and additional SNPs in linkage disequilibrium (LD) (r(2)  ≥ 0.5), we first mapped them to genomic functional annotation databases, including the encyclop

SUBMITTER: Lu Y 

PROVIDER: S-EPMC3070182 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature