Literature DB >> 23237621

Gender, body mass index, and PPARγ polymorphism are good indicators in hyperuricemia prediction for Han Chinese.

Ming-Fen Lee1, Tsan-Hon Liou, Weu Wang, Wen-Harn Pan, Wei-Jei Lee, Chung-Tan Hsu, Suh-Fen Wu, Hsin-Hung Chen.   

Abstract

Hyperuricemia is closely associated with obesity and metabolic abnormalities, which is also an independent risk factor for cardiovascular diseases. The PPARγ gene, which is linked to obesity and metabolic abnormalities in Han Chinese, might be considered a top candidate gene that is involved in hyperuricemia. This study recruited 457 participants, aged 20-40 years old, to investigate the associations of the PPARγ gene and metabolic parameters with hyperuricemia. Three tag-single nucleotide polymorphisms, rs2292101, rs4684846, and rs1822825, of the PPARγ gene were selected to explore their association with hyperuricemia. Risk genotypes on rs1822825 of the PPARγ gene exhibited statistical significance with hyperuricemia (odds ratio: 1.9; 95% confidence interval: 1.05-3.57). Although gender, body mass index (BMI), serum total cholesterol concentration, or protein intake per day were statistically associated with hyperuricemia, the combination of BMI, gender, and rs1822825, rather than that of age, serum lipid profile, blood pressure, and protein intake per day, satisfied the predictability for hyperuricemia (sensitivity: 69.3%; specificity: 83.7%) in Taiwan-born obese Han Chinese. BMI, gender, and the rs1822825 polymorphism in the PPARγ gene appeared good biomarkers in hyperuricemia; therefore, these powerful indicators may be included in the prediction of hyperuricemia to increase the accuracy of the analysis.

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Year:  2013        PMID: 23237621      PMCID: PMC3525899          DOI: 10.1089/gtmb.2012.0231

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


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