Associations of lipid levels susceptibility loci with coronary artery disease in Chinese population

Table 6 Associations of 6 SNPs with the ln-transformed Gensini socre in the 1100 CAD patients under additive model

SNP (risk allele)	Quantitative trait association			Median case–control association^a
SNP (risk allele)				Risk allele frequency (%)
	β (SE)	P^b	P_FDR ^c	High scores	Low scores	OR (95 % CI)	P^b	P_FDR ^c
rs1169288 (C)	0.113 (0.037)	0.002	0.012	50.0	44.4	1.30 (1.09, 1.53)	0.003	0.018
rs7395662 (A)	0.059 (0.038)	0.121	0.363	51.8	53.1	0.98 (0.82, 1.16)	0.768	0.768
rs1495741 (G)	0.006 (0.037)	0.872	0.872	60.2	58.0	1.10 (0.93, 1.31)	0.252	0.504
rs12670798 (T)	0.025 (0.038)	0.513	0.770	51.2	49.8	1.06 (0.89, 1.26)	0.500	0.750
rs9411489 (T)	0.017 (0.045)	0.709	0.851	22.0	20.7	1.05 (0.86, 1.29)	0.636	0.763
rs10128711 (C)	-0.036 (0.037)	0.329	0.658	46.0	48.5	0.89 (0.75, 1.05)	0.158	0.474

Italic values are statistically significant after FDR correction
β (SE) effect size (standard error), OR (95 % CI) odds ratio (95 % confidence interval)
^aCAD patients were classified into two groups according to their Gensini scores using the median as a cutoff point: >20.5 for the high scores group and ≤20.5 for the low scores group. ^bP values were obtained using the multivariate linear and logistic regression analyses with age, sex, smoking, alcohol intake, weight status, hypertension, diabetes and dyslipidemia and pharmacological therapy status as covariates. ^cP-value from Benjamini-Hochberg method control for false discovery rate (FDR)

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