METHODS: A comprehensive literature search was made using PubMed, PCOSkb, and Google Scholar. New Ottawa Scale has been utilized to evaluate the quality of each article. To evaluate the strength of association under different genetic models of rs6165 and rs6166 polymorphisms, odds ratio with a 95% confidence interval (CI) was calculated.
RESULTS: A total of 20 articles were selected for the present study. In pooled analysis and after the stratification by ethnicity, polymorphism rs6165 remains unrelated to the onset of PCOS. Besides, rs6166 exhibits significant protection in the Indian population under recessive, additive, and allele models (OR = 0.7, CI: 0.54-0.9, p = 0.006, OR = 0.65, CI: 0.48-0.89, p = 0.006, OR = 0.82, CI: 0.7-0.95, p = 0.01, respectively) and low to moderate risk in the Caucasian population under allele model (OR = 1.17, CI: 1.04-1.32, p = 0.01).
CONCLUSIONS: This meta-analysis suggests that GG genotype of rs6166 provides protection against PCOS, in a population-specific manner.
方法:使用PubMed进行了全面的文献检索,PCOSkb,谷歌学者。新渥太华量表已用于评估每篇文章的质量。为了评估rs6165和rs6166多态性在不同遗传模型下的关联强度,计算具有95%置信区间(CI)的比值比.
结果:本研究共选取20篇。在汇总分析和种族分层后,多态性rs6165仍然与PCOS的发病无关。此外,rs6166在印度人口中表现出明显的保护,添加剂,和等位基因模型(OR=0.7,CI:0.54-0.9,p=0.006,OR=0.65,CI:0.48-0.89,p=0.006,OR=0.82,CI:0.7-0.95,p=0.01)以及等位基因模型下高加索人群的低至中度风险(OR=1.17,CI:1.04-1.32,p=0.01)。
结论:这项荟萃分析提示rs6166的GG基因型对PCOS具有保护作用,以特定于人群的方式。