A systematic review and meta-analysis of 4 candidate polymorphisms with the risk of gout

作者：Chen, Yong; Ying, Ying; Shi, Shanfen; Li, Liangda; Huang, Yi; Ye, Huadan; Gong, Qiongyao; Huang, Haiyan; Ji, Huihui; Huang, Tao; Duan, Shiwei^*

来源：International Journal of Clinical and Experimental Medicine, 2016, 9(8): 16025-16033.

• Gout
• ABCG2
• SLC2A9
• meta-analysis
• polymorphism

The purpose of this research was to assess the contribution of 4 genetic polymorphisms to the risk of gout. A systematic search was performed for qualified case-control studies on 4 variants with gout among PubMed, EMBASE, CNKI and China Wanfang literature databases. Using the REVMAN software, odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the contribution of the 4 genetic variants to gout. We harvested a total of 19 studies among 6,797 cases and 15,904 controls for the current meta-analyses. Our results showed that ABCG2 rs2231142 (OR = 2.13, 95% CI = 1.81-2.50, P < 0.00001), SLC2A9 rs3733591 (OR = 0.78, 95% CI = 0.67-0.91, P = 0.002), SLC2A9 rs16890979 (OR = 0.33, 95% CI = 0.18-0.58, P = 0.0002), and SLC2A9 rs6855911 (OR = 0.66, 95% CI = 0.56-0.77, P < 0.00001) were significantly associated with the risk of gout. Our results showed four genetic variants (including ABCG2 rs2231142, SLC2A9 rs3733591, rs16890979 and rs6855911) were significantly associated with gout.

• 出版日期2016
• 单位宁波大学; 浙江大学