We examined the utility of including all SNPs that were significant in the initial association tests when predicting sensation seeking. Results from models comparing the utility of covariates to covariates plus all significant SNPs are presented in Table 3. The model that included dopamine-related SNPs fit significantly better than the covariates-only model (as indicated in Table 3 by p < 4 × 10−13 and the lower AIC and BIC of model 2 compared to model 1). Including the 12 significant SNPs explained 3.9% more variance (an average of 0.35% per exonic SNP, 0.31% per intronic SNP) in sensation seeking than the covariates-only models.
