中国人群维生素D受体rs7975232和rs1544410位点基因多态性与骨质疏松症相关性的meta分析

目的本研究采用meta分析的方法，探讨了中国人维生素D受体基因多态性与骨质疏松的关系。 方法检索CNKI、万方、维普、Pubmed、Web of Science、Embase数据库，检索时间从建库至2020年3月，从数据库中检索有关维生素D受体（rs7975232和rs1544410）基因多态性和骨质疏松症之间相关性的文章。采用NOS文献质量评价标准对符合纳入排除标准的文献进行质量评价。采用OR值及其95%可信区间（95% CI）评估关联强度。根据是否存在异质性，采用固定效应模型或随机效应模型合并效应量。采用单因素敏感性分析法进行敏感性分析。 结果本研究最终共纳入20项符合条件的研究，包括4 468例病例和4 988名对照。在等位基因模型中，rs7975232和rs1544410的合并OR估计值分别为1.09（95% CI：0.84，1.39，P=0.524）和0.9（95% CI：0.57，1.43，P=0.659），尚未发现两个位点与骨质疏松症的关联。在显性模型、隐性模型和共显性模型中，结果均未显示二者的相关性。 结论在中国人群中，维生素D受体（rs7975232和rs1544410）基因多态性与骨质疏松风险之间无关联。

Association of vitamin D receptor rs7975232 and rs1544410 gene polymorphisms with osteoporosis in Chinese population: a meta-analysis

ObjectiveTo investigate the relationship between vitamin D receptor gene polymorphism and osteoporosis in Chinese. MethodsCNKI, Wanfang, VIP, PubMed, web of science and EMBASE databases were searched from the database establishment to March 2020. Articles on the relationship between vitamin D receptor (rs7975232 and rs1544410) gene polymorphism and osteoporosis were searched from the database. The NOS standard was used to evaluate the quality of the literatures that met the inclusion and exclusion criteria. OR value and its 95% confidence interval (95% CI) were used to evaluate the association strength. According to the heterogeneity, the fixed effect model or random effect model was used to combine the effect amount. A single factor sensitivity analysis method was used for sensitivity analysis. ResultsA total of 20 eligible studies including 4 468 cases and 4 988 controls were included. In the allelic model, the pooled or estimates of rs7975232 and rs1544410 were 1.09 (95% CI: 0.84, 1.39, P=0.524) and 0.9 (95% CI: 0.57, 1.43, P=0.659), respectively. The association between the two SNPs and osteoporosis has not been found. In addition, the results showed no significant correlation in the dominant model, invisible model and co dominant model. ConclusionThere is no significant association between vitamin D receptor gene polymorphism and osteoporosis risk in Chinese population.