PURPOSE: An association between the INS VNTR polymorphisms and polycystic ovary syndrome (PCOS) susceptibility has been reported in previous studies, but the results were inconsistent. This study was conducted to explore this association using meta-analysis. METHODS: PubMed, Embase, and China National Knowledge Infrastructure (CNKI) were searched according to predefined criteria for all relevant studies published up to August 2013. Four genetic models, together with odds ratios (ORs) and 95 % confidence intervals (CI), were calculated. Subgroup analyses were performed by ethnicity, anovulatory PCOS, and Hardy-Weinberg equilibrium (HWE) in the controls. RESULTS: In total, 13 case-control studies, including 1,767 cases and 4,108 controls, were included. No significant association was detected in overall population in all models (III/III vs. I/I: OR = 1.200, 95%CI = 0.866-1.664, P=0.277; I/III vs. I/I: OR = 1.041, 95%CI = 0.880-1.232, P=0.637; III/III + I/III vs. I/I: OR = 1.191, 95%CI = 0.912-1.554, P=0.199; III/III vs. I/III + I/I: OR = 1.100, 95%CI = 0.816-1.484, P=0.531), the same as in Caucasian and Asian populations. When the studies were limited to conform to HWE, the results remained persistent and robust. The anovulation subgroup showed significantly elevated risk in the I/III vs. I/I (OR = 1.460, 95%CI = 1.017-2.095, P=0.040). CONCLUSIONS: This meta-analysis revealed no significant association between INS VNTR polymorphisms and the risk of PCOS in the overall population, while it supported that variance may be associated with susceptibility to PCOS with anovulation. Further confirmation is needed from more well-designed and larger studies.
PURPOSE: An association between the INS VNTR polymorphisms and polycystic ovary syndrome (PCOS) susceptibility has been reported in previous studies, but the results were inconsistent. This study was conducted to explore this association using meta-analysis. METHODS: PubMed, Embase, and China National Knowledge Infrastructure (CNKI) were searched according to predefined criteria for all relevant studies published up to August 2013. Four genetic models, together with odds ratios (ORs) and 95 % confidence intervals (CI), were calculated. Subgroup analyses were performed by ethnicity, anovulatory PCOS, and Hardy-Weinberg equilibrium (HWE) in the controls. RESULTS: In total, 13 case-control studies, including 1,767 cases and 4,108 controls, were included. No significant association was detected in overall population in all models (III/III vs. I/I: OR = 1.200, 95%CI = 0.866-1.664, P=0.277; I/III vs. I/I: OR = 1.041, 95%CI = 0.880-1.232, P=0.637; III/III + I/III vs. I/I: OR = 1.191, 95%CI = 0.912-1.554, P=0.199; III/III vs. I/III + I/I: OR = 1.100, 95%CI = 0.816-1.484, P=0.531), the same as in Caucasian and Asian populations. When the studies were limited to conform to HWE, the results remained persistent and robust. The anovulation subgroup showed significantly elevated risk in the I/III vs. I/I (OR = 1.460, 95%CI = 1.017-2.095, P=0.040). CONCLUSIONS: This meta-analysis revealed no significant association between INS VNTR polymorphisms and the risk of PCOS in the overall population, while it supported that variance may be associated with susceptibility to PCOS with anovulation. Further confirmation is needed from more well-designed and larger studies.
Authors: D M Waterworth; S T Bennett; N Gharani; M I McCarthy; S Hague; S Batty; G S Conway; D White; J A Todd; S Franks; R Williamson Journal: Lancet Date: 1997-04-05 Impact factor: 79.321
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