Integrated analyses for genetic markers of polycystic ovary syndrome with 9 case-control studies of gene expression profiles.
Ontology highlight
ABSTRACT: Due to genetic heterogeneity and variable diagnostic criteria, genetic studies of polycystic ovary syndrome are particularly challenging. Furthermore, lack of sufficiently large cohorts limits the identification of susceptibility genes contributing to polycystic ovary syndrome. Here, we carried out a systematic search of studies deposited in the Gene Expression Omnibus database through August 31, 2016. The present analyses included studies with: 1) patients with polycystic ovary syndrome and normal controls, 2) gene expression profiling of messenger RNA, and 3) sufficient data for our analysis. Ultimately, a total of 9 studies with 13 datasets met the inclusion criteria and were performed for the subsequent integrated analyses. Through comprehensive analyses, there were 13 genetic factors
SUBMITTER: Lu C
PROVIDER: S-EPMC5356873 | biostudies-literature | 2017 Jan
REPOSITORIES: biostudies-literature
ACCESS DATA