Integrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer.

ABSTRACT:

Background

Pathway analysis of large-scale omics data assists us with the examination of the cumulative effects of multiple functionally related genes, which are difficult to detect using the traditional single gene/marker analysis. So far, most of the genomic studies have been conducted in a single domain, e.g., by genome-wide association studies (GWAS) or microarray gene expression investigation. A combined analysis of disease susceptibility genes across multiple platforms at the pathway level is an urgent need because it can reveal more reliable and more biologically important information.

Results

We performed an integrative pathway analysis of a GWAS dataset and a microarray gene expression dataset in prostate cancer. We obtained a comprehensive pathway annotation set fr

SUBMITTER: Jia P 

PROVIDER: S-EPMC3524313 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature