and rs1051730. For NRT or all PG models, the inclusion of dependence variables, dependence variables and rs1051730, or dependence variables, rs1051730 and covariate SNPs (rs588765 and rs578776), results in ROC curves with significantly greater AUC than the models with only demographic variables, or with demographic variables and rs1051730. This suggests that with or without pharmacotherapy, information imparted by dependence measures and covariate SNPs increases the ability to predict abstinence outcomes. E.g., for a specificity of 0.50, the sensitivity of the full model in the PLA, NRT and All PGs setting is 0.73, 0.72 and 0.81, versus 0.68, 0.70, and 0.76, for the model with only demographic variables, respectively.
