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

• Published in: Acta pharmacologica Sinica Vol. 35; no. 11; pp. 1421 - 1427
• Main Authors: Sun, Xue, Jiang, Feng, Zhang, Rong, Tang, Shan-shan, Chen, Miao, Peng, Dan-feng, Yan, Jing, Wang, Tao, Wang, Shi-yun, Bao, Yu-qian, Hu, Cheng, Jia, Wei-ping
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.11.2014; Nature Publishing Group
• Subjects: Adaptor Proteins, Signal Transducing - genetics; Adaptor Proteins, Signal Transducing - metabolism; Adult; Aged; Asian Continental Ancestry Group - genetics; Biomedical and Life Sciences; Biomedicine; China; DNA-Binding Proteins - genetics; DNA-Binding Proteins - metabolism; Female; Gene Frequency; Genome-Wide Association Study; Genotype; Glucose Transport Proteins, Facilitative - genetics; Glucose Transport Proteins, Facilitative - metabolism; Humans; Immunology; Internal Medicine; KR基因; Male; Medical Microbiology; Middle Aged; Original; original-article; Pharmacology/Toxicology; Phenotype; Polymorphism, Single Nucleotide; RNA Splicing Factors; Sex Factors; Transcription Factors - genetics; Transcription Factors - metabolism; Uric Acid - blood; Vaccine; 中国人群; 单核苷酸多态性; 基因多态性; 血尿; 血清生化指标; 酸水; SLC2A9; GCKR; gout; Chinese; genome-wide association; single nucleotide polymorphisms; uric acid; SF1
• ISSN: 1671-4083; 1745-7254
• DOI: 10.1038/aps.2014.87

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=O.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.