SLC2A9 and ZNF518B polymorphisms correlate with gout-related metabolic indices in Chinese Tibetan populations

Current evidence suggests that heredity and metabolic syndrome contribute to gout progression. SLC2A9 and ZNF518B may play a role in gout progression in different populations, but no studies have focused on the Tibetan Chinese population. In this study, we determined whether variations in these 2 genes were correlated with gout-related indices in Chinese-Tibetan gout patients. We detected 6 single nucleotide polymorphisms in SLC2A9 and ZNF518B in 319 Chinese Tibetan gout patients. One-way analysis of variance was used to evaluate the polymorphisms' effects on gout based on mean serum levels of metabolism indicators. Polymorphisms in SLC2A9 and ZNF518B affected multiple risk factors related to gout development. Significant differences in serum triglyceride levels and high-density lipoproteincholesterol level were detected between different genotypic groups with SLC2A9 polymorphisms rs13129697 (P = 0.022), rs4447863 (P = 0.018), and rs1014290 (P = 0.045). Similarly in ZNF518B, rs3217 (P = 0.016) and rs10016022 (P = 0.046) were associated with high creatinine and glucose levels, respectively. This study is the first to investigate and identify positive correlations between SLC2A9 and ZNF518B gene polymorphisms and metabolic indices in Tibetan gout patients. We found significant evidence indicating that genetic polymorphisms affect gout-related factors in Chinese Tibetan populations.