Department of Human Genetics and Molecular Medicine, School of Health Sciences, Central University of Punjab, Bathinda, India.
Department of Human Genetics, Punjabi University, Patiala, India.
Gynecol Endocrinol. 2021 Feb;37(2):126-131. doi: 10.1080/09513590.2020.1813274. Epub 2020 Aug 28.
Previously, many studies investigated the association between CYP19 rs2414096(G > A) and susceptibility to develop PCOS. However, results had been inconsistent. Therefore, our systematic review and meta-analysis aimed to identify the association between CYP19 rs2414096 and PCOS risk. A systematic literature search was done from database PubMed, Google Scholar, Science Direct, and Cochrane Library up to July 15 2020 and statistical analysis was performed by RevMan5.3. A total of seven studies comprised of 1414 PCOS cases and 1276 controls were included in the current meta-analysis. The pooled analysis showed that overall, there is a significant association between CYP19 rs2414096(G > A) and risk of PCOS (OR = 0.74, 95% CI= 0.62-0.88, = .0008). In dominant model, GG + AG vs GG and recessive genetic model AA vs AG + GG found a significant association (OR = 1.60,95% CI = 1.10-2.31, = .01; OR = 0.65,95% CI = 0.45-0.93, = .02) respectively which indicates that GG phenotype might be risk factor for PCOS development. In stratified subgroup analysis, there was significant association between CYP19 rs2414096 polymorphism and PCOS risk for non-Indian population only while no association was found with Indian population. Present meta-analysis studies indicate that CYP19 rs2414096 is associated with PCOS risk and important in pathogenesis of PCOS for many populations but for Indian population more studies are required as Indian population comprises of various subpopulations genetically isolated since long.
先前，许多研究探讨了 CYP19 rs2414096(G > A)与多囊卵巢综合征(PCOS)易感性之间的关联。然而，结果并不一致。因此，我们进行了系统的文献回顾和荟萃分析，旨在确定 CYP19 rs2414096 与 PCOS 风险之间的关联。我们从数据库 PubMed、Google Scholar、Science Direct 和 Cochrane Library 进行了系统的文献检索，检索时间截至 2020 年 7 月 15 日，并使用 RevMan5.3 进行了统计分析。共有 7 项研究纳入了 1414 例 PCOS 病例和 1276 例对照，纳入了本次荟萃分析。汇总分析显示，总体而言，CYP19 rs2414096(G > A)与 PCOS 风险之间存在显著关联(OR=0.74，95%CI=0.62-0.88， = .0008)。在显性模型中，GG + AG 与 GG 相比，以及隐性遗传模型 AA 与 AG + GG 相比，均发现存在显著关联(OR=1.60，95%CI=1.10-2.31， = .01；OR=0.65，95%CI=0.45-0.93， = .02)，这表明 GG 表型可能是 PCOS 发病的危险因素。在分层亚组分析中，仅在非印度人群中，CYP19 rs2414096 多态性与 PCOS 风险之间存在显著关联，而在印度人群中则未发现关联。本荟萃分析研究表明，CYP19 rs2414096 与 PCOS 风险相关，对许多人群的 PCOS 发病机制具有重要意义，但对于印度人群，需要进行更多的研究，因为印度人群在遗传上长期以来是由各种亚群隔离而成。
