En
Summary]This study aimed to test the effects of five single nucleotide polymorphisms within SLC2A9 on uric acid level in a special ethnic population, the Uygurs in Xinjiang, China. According to our inclusion and exclusion criteria, Uygur adults from Xinjiang constituted the study population. There were 1053 Uygur adults with hyperuricemia and 1373 normal Uygur adults who served as controls. Five single nucleotide polymorphisms within SLC2A9 (rs938557, rs7679916, rs7349721, rs13101785, and rs13137343) were selected with the HapMap dataset and TaqMan assays. We found that, in normouricemia group, rs938557 was significantly correlated with uric acid (β=11.39±3.74, P=0.0024) adjusting for age, gender and BMI; rs7679916 and rs13137343 were marginally associated with uric acid concentration (β=5.77±3.09, P=0.0626; β= 5.99±3.08, P=0.0520). In the hyperuricemia group, no SNP was found to possibly influence uric acid concentration. None of these SNPs showed significant association with hyperuricemia after controlling for age, gender and BMI. There were significant or marginal correlations between certain single nucleotide polymorphisms in the SLC2A9 region and uric acid concentration in Uygur normouricemia samples. In turn, some of these single nucleotide polymorphisms in SLC2A9 may increase the risk of hyperuricemia.
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We would like to thank all of the participants, individuals and institutions that supported this study.
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This study was supported by grants from the National Natural Science Foundation of China (No. 81560153 and No. 81760169), the Natural Science Foundation of the Xinjiang Uygur Autonomous Region (No. 2017D01C234), and the Open Project of Shanghai Six People’ Hospital and Shanghai Key Laboratory of Diabetes Mellitus (No. SHKLD-KF-1502)
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The authors declare that there is no conflict of interest with any financial organization or corporation or individual that can inappropriately influence this work.
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Sun, Yp., Xu, Fl., Yan, Dd. et al. Association between SLC2A9 Genetic Variants and Risk of Hyperuricemia in a Uygur Population. CURR MED SCI 39, 243–249 (2019). https://doi.org/10.1007/s11596-019-2026-2
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DOI: https://doi.org/10.1007/s11596-019-2026-2