Identification of the key pathways and genes related to polycystic ovary syndrome using bioinformatics analysis

Abstract excerpt

Polycystic ovary syndrome (PCOS) is the most common hormonal and metabolic disorder among women of reproductive age, but the mechanisms underlying this unique pathogenesis remain unknown. This study was therefore designed to identify candidate genes involved in the pathogenesis of PCOS, using bioinformatics analysis. The gene expression profiles of GSE34526 from 7 PCOS patients and 3 controls were downloaded from...