Zheng Dong1, Shicheng Guo1, Yajun Yang1, Junjie Wu1, Ming Guan2, Hejian Zou2,3, Li Jin1, Jiucun Wang1,2. 1. Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China. 2. Institute of Rheumatology, Immunology and Allergy, Fudan University, Shanghai, China. 3. Division of Rheumatology, Huashan Hospital, Fudan University, Shanghai, China.
Abstract
AIM: Original studies have employed various genetic models in association analysis between ABCG2 Q141K (rs2231142) with gout risk and different or conflicting results, especially regarding the role of gender in this association. In addition, it is not clear whether the association varies by ethnicity. METHOD: Articles published before September 1, 2013 were extracted and registered into databases for the systematic review of this polymorphism. The quality of each study was scored based on predefined criteria. The genetic model was identified through stratification analysis, then a meta-analysis including all publically available data was preformed to test the association between rs2231142 and gout risk. Potential sources of heterogeneity were sought out via stratification analysis and meta-regression analysis. RESULTS: Nine case-control studies involving 17 942 individuals were eligible for the meta-analysis of rs2231142. Codominant model was the most appropriate genetic model to interpret the susceptibility cause. It showed that the rs2231142 T allele obviously increased gout risk, and TT was much stronger than GT (TT vs. GG: OR, 4.10; 95% CI, 2.90-5.80; GT vs. GG: OR, 1.71, 95% CI, 1.39-2.10). In addition, gender and ethnicity were found to affect the association between the susceptibility of gout and rs2231142. CONCLUSION: ABCG2 rs2231142 is an important genetic factor in increasing gout risk, and the difference in genetic association has been found between male and female populations. In addition, the degree of association has been found to vary with ethnicity.
AIM: Original studies have employed various genetic models in association analysis between ABCG2Q141K (rs2231142) with gout risk and different or conflicting results, especially regarding the role of gender in this association. In addition, it is not clear whether the association varies by ethnicity. METHOD: Articles published before September 1, 2013 were extracted and registered into databases for the systematic review of this polymorphism. The quality of each study was scored based on predefined criteria. The genetic model was identified through stratification analysis, then a meta-analysis including all publically available data was preformed to test the association between rs2231142 and gout risk. Potential sources of heterogeneity were sought out via stratification analysis and meta-regression analysis. RESULTS: Nine case-control studies involving 17 942 individuals were eligible for the meta-analysis of rs2231142. Codominant model was the most appropriate genetic model to interpret the susceptibility cause. It showed that the rs2231142 T allele obviously increased gout risk, and TT was much stronger than GT (TT vs. GG: OR, 4.10; 95% CI, 2.90-5.80; GT vs. GG: OR, 1.71, 95% CI, 1.39-2.10). In addition, gender and ethnicity were found to affect the association between the susceptibility of gout and rs2231142. CONCLUSION:ABCG2 rs2231142 is an important genetic factor in increasing gout risk, and the difference in genetic association has been found between male and female populations. In addition, the degree of association has been found to vary with ethnicity.
Authors: Chang Nam Son; So Young Bang; Sang Hyon Kim; Yoon Kyoung Sung; Sang Cheol Bae; Jae Bum Jun Journal: J Korean Med Sci Date: 2017-09 Impact factor: 2.153
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