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

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

SNP	Chr	bp	Genes	Locus	Minor/major allele	GWAS(n = 3,451)			Validation(n = 8,830)			Combined(n = 12,281)
SNP	Chr	bp	Genes	Locus	Minor/major allele	MAF	Effect size (s.e.m.)	P- value^a	MAF	Effect size (s.e.m.)	P ^-value^a	P-value^a
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

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).
^aLinear regression analysis adjusted for age, sex, body mass index (BMI), cigarette smoking, and alcohol drinking.