Genetic Polymorphisms of IFNG, IFNGR1, and Androgen Receptor and Chronic Prostatitis/Chronic Pelvic Pain Syndrome in a Chinese Han Population

Table 3

Genetic models of SNPs and CP/CPPS by using logistic regression.

Gene/SNP	Model	Genotype	Crude OR (95% CI)		AIC	BIC	Adjusted OR (95% CI)^a		AIC	BIC
IFNG
rs2069718	Codominant model	GA/AA	1.22 (0.65-2.27)	0.46	341.1	351.6	1.17 (0.62-2.19)	0.37	337.5	351.5
		GG/AA	3.37 (0.34-32.99)				4.33 (0.43-43.20)
	Log-additive model	-	1.34 (0.78, 2.32)	0.29	339.5	346.5	1.35 (0.78, 2.33)	0.29	336.4	346.9
rs1861493	Codominant model	GA/AA	1.03 (0.59-1.78)	0.98	342.6	353.1	0.99 (0.57-1.72)	1	339.5	353.5
		GG/AA	0.96 (0.45-2.04)				1.03 (0.48-2.20)
	Log-additive model	-	0.99 (0.69, 1.42)	0.95	340.7	347.7	1.01 (0.70, 1.45)	0.97	337.5	348
IFNGR1
rs10457655	Codominant model	GA/GG	1.05 (0.56-1.94)	0.23	339.7	350.2	1.04 (0.55-1.93)	0.34	337.4	351.4
		AA/GG	NA				NA
	Log-additive model	-	1.22 (0.68, 2.17)	0.50	340.2	347.2	1.17 (0.65, 2.10)	0.60	337.3	347.7
rs35860242	Codominant model	CT/CC	1.19 (0.54-2.66)	0.1	338.1	348.6	1.14 (0.51-2.55)	0.16	335.9	349.9
		TT/CC	NA				NA
	Log-additive model	-	1.60 (0.80, 3.19)	0.17	338.8	345.8	1.48 (0.74, 2.99)	0.26	336.3	346.8
rs3799488	Codominant model	CT/TT	1.15 (0.67-1.98)	0.49	341.3	351.7	1.26 (0.73-2.19)	0.41	337.8	351.7
		CC/TT	0.63 (0.23-1.69)				0.65 (0.24-1.77)
	Log-additive model	-	0.93 (0.63, 1.38)	0.73	340.5	347.5	0.98 (0.65, 1.46)	0.90	337.5	348
rs7749390	Codominant model	GA/GG	0.85 (0.48-1.51)	0.85	342.3	352.8	0.89 (0.50-1.58)	0.91	339.4	353.3
		AA/GG	0.97 (0.46-2.04)				0.97 (0.46-2.05)
	Log-additive model	-	0.97 (0.67, 1.39)	0.86	340.6	347.6	0.97 (0.67, 1.40)	0.87	337.5	348
rs9376267	Codominant model	CT/CC	1.10 (0.62-1.97)	0.71	340.5	351	1.15 (0.64-2.06)	0.65	337.5	351.5
		TT/CC	0.83 (0.39-1.75)				0.83 (0.39-1.78)
	Log-additive model	-	0.93 (0.65, 1.35)	0.71	339.1	346.1	0.94 (0.65, 1.36)	0.74	336.3	346.7
rs9376268	Codominant model	GA/GG	1.08 (0.62-1.90)	0.91	341	351.5	1.08 (0.61-1.90)	0.89	338.1	352.1
		AA/GG	0.94 (0.43-2.04)				0.90 (0.41-1.99)
	Log-additive model	-	0.99 (0.68, 1.44)	0.96	339.2	346.2	0.98 (0.67, 1.42)	0.90	336.4	346.8
AR
rs138464995		TT/CC	1.17 (0.36-3.73)	0.8	325.7	332.6	1.07 (0.33-3.45)	0.91	322.6	333
rs142203174		CC/AA	1.30 (0.54-3.14)	0.56	340.3	347.3	1.38 (0.57-3.38)	0.48	337	347.5
rs192195540		CC/GG	0.77 (0.41-1.43)	0.4	338.5	345.5	0.69 (0.37-1.30)	0.25	335.1	345.5
rs139374285		TT/CC	0.88 (0.26-2.96)	0.83	340.6	347.6	0.90 (0.26-3.08)	0.87	337.5	348
rs72627670		TT/CC	0.67 (0.33-1.33)	0.25	337.9	344.9	0.70 (0.35-1.42)	0.32	335.4	345.9
rs144488434		TT/CC	0.42 (0.14-1.22)	0.096	337.9	344.9	0.39 (0.13-1.16)	0.076	334.4	344.9
rs143099096		AA/CC	0.84 (0.22-3.21)	0.8	340.8	347.6	0.68 (0.17-2.62)	0.57	337.2	347.7
rs78445514		CC/TT	1.52 (0.72-3.19)	0.26	339.4	346.4	1.52 (0.72-3.22)	0.27	336.3	346.8
rs141340859		CC/TT	1.65 (0.57-4.80)	0.35	338.3	345.3	1.73 (0.59-5.04)	0.31	335.4	345.8
rs5965429		GG/AA	0.75 (0.43-1.30)	0.3	333.9	340.9	0.71 (0.40-1.24)	0.23	331.3	341.8

AIC: Akaike’s Information Criterion; BIC: Bayesian Information Criterion; CP/CPPS: chronic prostatitis/chronic pelvic pain syndrome; NA: not applicable; OR: odds ratio; SNPs: single nucleotide polymorphisms. ^aAdjusted by age.