| 摘要: |
| 目的探讨尿酸转运蛋白相关基因单核苷酸多态性与原发性痛风的相关性。方法检索PubMed数据库、EMBASE数据库、中国知网数据库和万方数据库的相关中英文文献，收集尿酸转运蛋白相关基因多态性与原发性痛风易感性的相关研究，按纳入与排除标准筛选文献，提取资料。使用RevMan5.3软件进行荟萃统计分析，敏感性分析及发表偏倚分析。结果共10386例原发性痛风患者和21076例对照者纳入分析，荟萃分析结果显示，SLC2A9rs3733591[OR（95%CI）=0.76（0.66，0.89），P＜0.05]、SLC2A9rs16890979[OR（95%CI）=0.33（0.18，0.58），P＜0.05]、SLC2A9rs6855911[OR（95%CI）=0.66（0.56，0.77），P＜0.05]、SLC2A9rs13124007[OR（95%CI）=1.49（1.17，1.91），P＜0.05]、SLC2A9rs1014290[OR（95%CI）=0.69（0.53，0.89），P＜0.05]和ABCG2rs2231142[OR（95%CI）=2.13（1.81，2.50），P＜0.05]这六个位点的多态性与原发性痛风易感性相关。结论SLC2A9（rs3733591、rs16890979、rs6855911、rs13124007和rs1014290）和ABCG2（rs2231142）的多态性与原发性痛风易感性相关。 |
| 关键词: 痛风 SLC2A 9 ABCG2 SLC17A3 LRRC16A 荟萃分析 单核苷酸多态性 |
| DOI：10.12056/j.issn.1006-2785.2017.39.20.2017-2019 |
| 分类号: |
| 基金项目:浙江省医药卫生基金项目（2015KYB346、2017KY589） |
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| Association of single nucleotide polymorphisms of uric acid transporter protein gene with risk of primary gout: a meta-analysis |
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Ningbo Second Municipal hospital
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| Abstract: |
| Objective To assess the association of uric acid transporter protein gene single nucleotide polymorphisms
with the risk of primary gout. Methods Studies on uric acid transporter-related gene polymorphisms with primary gout were searched in PubMed, EMBASE, CNKI and China Wanfang literature databases. Information was extracted according to inclusion and exclusion criteria. REVMAN 5.3 software was applied to perform meta-analysis, sensitivity analysis and publication bias analysis. Results Total 10,386 cases and 21,076 controls were included for the current meta-analyses. The results showed that
SLC2A9 rs3733591 (OR=0.76, 95%CI: 0.66, 0.89, P＜0.05), SLC2A9 rs16890979 (OR= 0.33, 95%CI: 0.18, 0.58, P＜0.05), SLC2A9
rs6855911(OR=0.66, 95%CI: 0.56, 0.77, P＜0.05), SLC2A9 rs13124007(OR=1.49, 95%CI: 1.17, 1.91, P＜0.05), SLC2A9 rs1014290
(OR=0.69, 95%CI: 0.53, 0.89, P＜0.05) and ABCG2 rs2231142(OR=2.13, 95%CI: 1.81, 2.50, P＜0.05) were significantly associated with the risk of primary gout. Conclusion Our results showed six genetic variants SLC2A9 rs3733591, rs16890979, rs6855911, rs13124007, rs1014290 and ABCG2 rs2231142 are significantly associated with primary gout. |
| Key words: Gout SLC2A9 ABCG2 SLC17A3 LRRC16A Meta-analysis Single nucleotide polymorphism |
