The association of DENND1A gene polymorphisms and polycystic ovary syndrome risk: a systematic review and meta-analysis

Arch Gynecol Obstet. 2016 Nov;294(5):1073-1080. doi: 10.1007/s00404-016-4159-x. Epub 2016 Aug 3.

Abstract

Purpose: Polycystic ovary syndrome is heterogeneity disease, and the association with DEEND1A gene has been discussed incompatibly for a long time. We conducted a meta-analysis to evaluate the rs10818854, rs2479106, and rs10986105 polymorphism in DENND1A gene with PCOS susceptibility.

Methods: Meta-analysis was performed for common allele versus rare allele using random effect model on published papers from January 1, 1980 to October 1, 2015. Subgroup analysis, sensitivity analysis and publication bias were also carried out ultimately. The combined odds ratio (OR) with 95 % confidence interval (95 % CI) was calculated to estimate the strength of the association.

Results: The results showed that rs10818854 (OR = 1.36, 95 % CI 1.12-1.61) and rs10986105 (OR = 1.39, 95 % CI 1.20-1.58) polymorphism increased the risk of PCOS probably. A significant association was also found between rs2479106 mutation and Asian PCOS patients but not Europeans (OR = 1.32, 95 % CI 1.25-1.39; OR = 1.01, 95 % CI 0.97-1.05, respectively).

Conclusions: In conclusion, the DENND1A gene variant is likely to have influence on PCOS risk. Further studies are warranted to assess these associations in greater detail, especially in different populations and different subtype of PCOS patients.

Keywords: DENND1A gene; Meta-analysis; Polycystic ovary syndrome; Polymorphism.

Publication types

  • Meta-Analysis
  • Review
  • Systematic Review

MeSH terms

  • Death Domain Receptor Signaling Adaptor Proteins / genetics*
  • Female
  • Genetic Predisposition to Disease / genetics*
  • Guanine Nucleotide Exchange Factors / genetics*
  • Humans
  • Polycystic Ovary Syndrome / genetics*
  • Polymorphism, Genetic
  • Risk Factors

Substances

  • DENND1A protein, human
  • Death Domain Receptor Signaling Adaptor Proteins
  • Guanine Nucleotide Exchange Factors