Table 3.

A. Multivariable association between cervical dysplasia and TAP genotypes
SNPGenotypeCINI
CINII
CINIII
Ptrend
OR*(95% CI)OR*(95% CI)OR*(95% CI)
TAP1 I333VAA vs AG/GG0.87(0.4-1.8)0.50(0.2-1.3)0.28(0.1-0.8)0.01
TAP1 D637GAA vs AG/GG0.76(0.4-1.4)0.42(0.2-1.0)0.27(0.1-0.7)0.00
TAP2 I379VGG vs AG/AA0.57(0.3-1.1)0.31(0.1-0.8)0.47(0.2-1.2)0.02
TAP2 A665TAA vs AG/GG1.04(0.6-1.9)1.45(0.7-3.1)0.77(0.3-1.8)0.97
TAP2 Q687STOPTT vs TC/CC0.76(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 I333VAA vs AG/GG0.91(0.3-2.4)0.53(0.2-1.7)0.28(0.1-1.0)0.03
TAP1 D637GAA vs AG/GG0.40(0.2-1.0)0.21(0.1-0.6)0.14(0.0-0.4)0.00
TAP2 I379VGG vs AG/AA0.42(0.2-1.1)0.31(0.1-1.0)0.51(0.2-1.7)0.20
TAP2 A665TAA vs AG/GG0.88(0.4-2.2)1.29(0.5-3.6)0.84(0.3-2.5)0.82
TAP2 Q687STOPTT vs TC/CC0.77(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.