. Author manuscript; available in PMC: 2018 May 3.

Published in final edited form as: Clin Cancer Res. 2009 Feb 1;15(3):1019–1023. doi: 10.1158/1078-0432.CCR-08-1207

Table 3.

A. Multivariable association between cervical dysplasia and TAP genotypes

SNP	Genotype	CINI		CINII		CINIII		P_trend^†

		OR^*	(95% CI)OR^*	OR^*	(95% CI)OR^*	OR^*	(95% CI)OR^*
TAP1 I333V	AA vs AG/GG	0.87	(0.4-1.8)	0.50	(0.2-1.3)	0.28	(0.1-0.8)	0.01
TAP1 D637G	AA vs AG/GG	0.76	(0.4-1.4)	0.42	(0.2-1.0)	0.27	(0.1-0.7)	0.00
TAP2 I379V	GG vs AG/AA	0.57	(0.3-1.1)	0.31	(0.1-0.8)	0.47	(0.2-1.2)	0.02
TAP2 A665T	AA vs AG/GG	1.04	(0.6-1.9)	1.45	(0.7-3.1)	0.77	(0.3-1.8)	0.97
TAP2 Q687STOP	TT vs TC/CC	0.76	(0.4-1.4)	1.06	(0.5-2.4)	0.70	(0.3-1.6)	0.62
*B. Multivariable association between cervical dysplasia and TAP* genotypes in women with high-risk HPV**

TAP1 I333V	AA vs AG/GG	0.91	(0.3-2.4)	0.53	(0.2-1.7)	0.28	(0.1-1.0)	0.03
TAP1 D637G	AA vs AG/GG	0.40	(0.2-1.0)	0.21	(0.1-0.6)	0.14	(0.0-0.4)	0.00
TAP2 I379V	GG vs AG/AA	0.42	(0.2-1.1)	0.31	(0.1-1.0)	0.51	(0.2-1.7)	0.20
TAP2 A665T	AA vs AG/GG	0.88	(0.4-2.2)	1.29	(0.5-3.6)	0.84	(0.3-2.5)	0.82
TAP2 Q687STOP	TT vs TC/CC	0.77	(0.3-2.0)	1.25	(0.4-3.6)	0.98	(0.3-2.9)	0.58

ORs and 95% CIs by polytomous logistic regression compared with women with no CIN, adjusted for number of Pap smears, age and race.

^†

P for trend by ordinal logistic regression model.