Jing Gao1,2, Jing-Dong Xue3, Zhi-Chao Li1, Li Zhou2, Chen Chen4. 1. Department of Obstetrics and Gynecology, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China. 2. Department of Gynecology and Obstetrics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China. 3. Department of Urology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China. 4. Department of Gynecology and Obstetrics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China. ruijincasep@163.com.
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.
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 PCOSpatients 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 PCOSpatients.
Authors: Matthew Dapas; Ryan Sisk; Richard S Legro; Margrit Urbanek; Andrea Dunaif; M Geoffrey Hayes Journal: J Clin Endocrinol Metab Date: 2019-04-30 Impact factor: 5.958
Authors: Danielle Hiam; Alba Moreno-Asso; Helena J Teede; Joop S E Laven; Nigel K Stepto; Lisa J Moran; Melanie Gibson-Helm Journal: J Clin Med Date: 2019-10-03 Impact factor: 4.241