Serum uric acid levels are associated with polymorphisms in the SLC2A9, SF1, and GCKR genes in a Chinese population

被引:12
|
作者
Sun, Xue [1 ]
Jiang, Feng [1 ]
Zhang, Rong [1 ]
Tang, Shan-shan [1 ]
Chen, Miao [1 ]
Peng, Dan-feng [1 ]
Yan, Jing [1 ]
Wang, Tao [1 ]
Wang, Shi-yun [1 ]
Bao, Yu-qian [1 ]
Hu, Cheng [1 ,2 ]
Jia, Wei-ping [1 ]
机构
[1] Shanghai Jiao Tong Univ,Shanghai Clin Ctr Diabet, Shanghai Key Lab Diabet Mellitus, Shanghai Key Clin Ctr Metab Dis, Affiliated Peoples Hosp 6,Shanghai Diabet Inst, Shanghai 200233, Peoples R China
[2] Shanghai Jiao Tong Univ, Affiliated Peoples Hosp 6, Shanghai 201400, Peoples R China
基金
中国国家自然科学基金;
关键词
uric acid; gout; single nucleotide polymorphisms; SLC2A9; SF1; GCKR; genome-wide association; Chinese; GENOME-WIDE ASSOCIATION; CARDIOVASCULAR-DISEASE; METABOLIC SYNDROME; RISK-FACTORS; RENAL-INSUFFICIENCY; FASTING GLUCOSE; URATE; GOUT; LOCI; VARIANTS;
D O I
10.1038/aps.2014.87
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Aim: Genome-wide association studies have identified several novel loci associated with serum uric acid concentrations in individuals of European descent. In the current study, we aimed to evaluate the associations between these loci and serum uric acid concentrations in a Chinese population. Methods: Fourteen single nucleotide polymorphisms (SNPs) mapped in or near 11 loci (PDZK1, GCKR, LRP2, SLC2A9, ABCG2, LRRC16A, SLC17A1, SLC17A3, SLC22A11, SLC22A12 and SF1) were genotyped in 2329 Chinese subjects in Shanghai. Serum biochemical parameters including uric acid concentrations were determined. All the variants were analyzed for gender differences since uric acid metabolism differed between genders. Results: In males after adjustments for age and BMI, GCKR rs780094, SLC2A9 rs11722228 and SF1 rs606458 were associated with the uric acid concentrations, which were statistically significant (P=0.016, 0.001 and 0.03, respectively), whereas SLC2A9 rs3775948 was marginally associated with the uric acid concentrations (P=0.071). In females, SLC22A12 rs506338 was also marginally associated with the uric acid concentrations (P=0.057). The meta-analysis for combined data from both males and females revealed that rs3775948 and rs606458 were associated with the uric acid concentrations (P=0.036 and 0.043, respectively). Furthermore, the gender significantly affected the association of rs11722228 with serum uric acid levels (P=0.012). Conclusion: The SLC2A9 rs11722228, SF1 rs606458 and GCKR rs780094 variants modulate uric acid concentrations in Chinese males, while SF1 rs606458 and SLC2A9 rs3775948 are associated with the uric acid concentrations in both Chinese males and females.
引用
收藏
页码:1421 / 1427
页数:7
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