4.3 Article

Association between ABCG2 Q141K polymorphism and gout risk affected by ethnicity and gender: a systematic review and meta-analysis

Journal

INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES
Volume 18, Issue 4, Pages 382-391

Publisher

WILEY
DOI: 10.1111/1756-185X.12519

Keywords

ABCG2; age; ethnicity; gender; gout; rs2231142

Categories

Funding

  1. Science and Technology Committee of Shanghai Municipality [11DJ1400102]
  2. International S&T Cooperation Program of China [2013DFA30870]
  3. National High-Tech Research and Development Program [2012AA021802]
  4. Program for Outstanding Medical Academic Leaders for Hejian Zou
  5. Fudan University High-End Computing Center

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AimOriginal 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. MethodArticles 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. ResultsNine case-control studies involving 17942 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. ConclusionABCG2 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.

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