Computational Systems Biology Approach on Polycystic Ovarian Syndrome (PCOS)

Abstract

Polycystic ovarian syndrome (PCOS) is an endocrine disorder that affects women at reproductive age. This syndrome gives rise to various consequences, from reproductive, dermatological, nervous and psychiatric problems to different features of metabolic syndrome. Due to the complexity of PCOS, candidate gene approaches are insufficient to understand its molecular mechanism. A systems biology approach that requires strong integration of experimental and computational biology to understand the complex biological systems could be used in examining multiple interacting genes and their products that lead to PCOS. This short communication discusses the available omics studies that have been conducted in PCOS.