Genetic variants of KISS1 gene in association with polycystic ovary syndrome– A meta-analysis

Abstract

Polycystic ovary syndrome (PCOS) is a widely diagnosed syndrome associated with clinical and metabolic manifestations and even many cases of infertility. Sexual hormone imbalance can be considered as PCOS causal factor. Thus, kisspeptin (KISS1) regulating gonadotropin-releasing hormone (GnRH) levels plays a critical role in this syndrome. This study aimed to investigate the association of KISS1 genetic polymorphisms with PCOS using meta-analysis protocols. In accordance with PRISMA guidelines, systematic search of scientific databases was conducted to find included articles and then meta-analysis was performed using Review Manager 5.4 in dominant, recessive, and allelic models of inheritance. This meta-analysis included 2165 PCOS patients and 2301 healthy reproductive-aged female genotyped for five different polymorphisms of KISS1. In recessive and allelic models, three genetic variations specifically showed significant association with PCOS. This concerns rs12998 (G → A) which was proved as associated with higher risk of PCOS in recessive (p = 0.0002) and allelic models (P = 0.02). In addition, rs372790354 despite the small number of studies was associated with this syndrome in allelic model (P = 0.03). In additive model, rs4889 was shown as associated with higher PCOS risk (P = 0.02). This meta-analysis suggests rs4889, rs12998 and rs372790354 genetic variations in KISS1 as risk factors of PCOS. Results will improve our knowledge about PCOS and form a basis for future trials trying to find new markers for its prognosis and therapy.