Table 3.

Multivariable logistic regression analysis of polymorphisms related to chronic kidney disease

Symbol	Polymorphism	Dominant			Recessive			Additive 1			Additive 2
		P	FDR	OR (95% CI)	P	FDR	OR (95% CI)	P	FDR	OR (95% CI)	P	FDR	OR (95% CI)
APOE	–219G→T	0.0214	0.043	1.44 (1.07–2.00)	0.0191	0.041	1.21 (1.03–1.42)	0.0858	0.107		0.0085	0.026	1.54 (1.13–2.15)
MMP1	–519A→G	0.0059	0.022	1.31 (1.08–1.59)	0.0351	0.055	2.17 (1.02–4.35)	0.0168	0.039	1.27 (1.04–1.55)	0.0255	0.045	2.27 (1.07–4.57)
UCP2	–866G→A	0.1150	0.133	–	0.0354	0.053	1.22 (1.01–1.46)	0.3456	0.358		0.0242	0.045	1.29 (1.03–1.62)
MMP1	–1607/1G→2G	0.2422	0.269	–	0.0053	0.023	0.79 (0.68–0.93)	0.7745	0.775		0.0517	0.074
MMP3	A→G (Lys45Glu)	0.0011	0.017	0.66 (0.52–0.85)	0.0731	0.095	–	0.0051	0.026	0.69 (0.53–0.90)	0.0008	0.024	0.64 (0.50–0.83)
AGTR1	G→A (Ala163Thr)	0.0040	0.040	6.69 (1.74–24.2)	–	–	–	0.0040	0.040	6.69 (1.74–24.2)
PECAM1	G→A (Gly670Arg)	0.0093	0.023	0.78 (0.65–0.94)	0.1110	0.133	–	0.0297	0.049	0.80 (0.66–0.98)	0.0092	0.025	0.74 (0.59–0.93)
UCP3	–55C→T	0.0544	0.074	–	0.0080	0.027	1.42 (1.09–1.82)	0.2436	0.261		0.0041	0.025	1.48 (1.13–1.94)

FDR, false discovery rate; OR, odds ratio; CI, confidence interval.

Multivariable logistic regression analysis was performed with adjustment for age, sex, BMI, smoking status, and the prevalence of hypertension, diabetes mellitus, and hypercholesterolemia. P and FDR values of <0.05 are shown in bold.