Skip to main content

Table 1 Genome-wide association analyses for serum uric acid levels

From: A genome-wide association study identifies common variants influencing serum uric acid concentrations in a Chinese population

SNP Chr bp Genes Locus Minor/major allele GWAS(n = 3,451) Validation(n = 8,830) Combined(n = 12,281)
MAF Effect size (s.e.m.) P- valuea MAF Effect size (s.e.m.) P -valuea P-valuea
rs11722228 4 9524839 SLC2A9 intron T/C 0.31 0.028 (0.006) 3.68 × 10-6 0.31 0.043 (0.004) 4.16 × 10-26 8.98 × 10-31
rs4148152 4 89279933 ABCG2 intron C/T 0.35 −0.029 (0.006) 1.22 × 10-7 0.33 −0.029 (0.004) 4.49 × 10-13 2.95 × 10-18
rs3114018 4 89283605 ABCG2 intron T/G 0.38 −0.034 (0.006) 2.75 × 10-9 0.38 −0.029 (0.004) 1.02 × 10-12 4.49 × 10-20
rs2231142 4 89271346 ABCG2 exon T/G 0.29 0.046 (0.006) 1.19 × 10-14 0.31 0.045 (0.004) 1.01 × 10-25 3.34 × 10-42
  1. The NCBI build 36 was used as the reference genome. Chr, chromosome. MAF indicates the minor allele frequency calculated using the data from all the subjects in the analysis. Effect size, represents the effect of a minor allele on the standardized trait (estimated coefficient of the term for the number of the minor alleles).
  2. aLinear regression analysis adjusted for age, sex, body mass index (BMI), cigarette smoking, and alcohol drinking.