Unknown

Dataset Information

Pathway Analysis Based on a Genome-Wide Association Study of Polycystic Ovary Syndrome.


ABSTRACT:

Background

Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women of reproductive age, and it is affected by both environmental and genetic factors. Although the genetic component of PCOS is evident, studies aiming to identify susceptibility genes have shown controversial results. This study conducted a pathway-based analysis using a dataset obtained through a genome-wide association study (GWAS) to elucidate the biological pathways that contribute to PCOS susceptibility and the associated genes.

Methods

We used GWAS data on 636,797 autosomal single nucleotide polymorphisms (SNPs) from 1,221 individuals (432 PCOS patients and 789 controls) for analysis. A pathway analysis was conducted using meta-analysis gene-set enrichment of variant associ

SUBMITTER: Shim U 

PROVIDER: S-EPMC4550465 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature