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. Author manuscript; available in PMC: 2014 Mar 1.
Published in final edited form as: Pharmacogenet Genomics. 2013 Mar;23(3):135–141. doi: 10.1097/FPC.0b013e32835d9ab0

Table 4.

Regression Analysis of Predictors

Hydroxybupropion AUC‡ R2 = 0.50 (p < 0.001)
Predictor B β 95% CI P
CYP2B6*6 (per # alleles) -3049 -0.56 -4411, 1-687 0.001
CYP2B6*18 (per # alleles) -5095 -0.34 -9018, -1171 0.012
Sex (female) 2287 0.37 917, 4856 0.005
Race (Asian) -2071 -0.2 -4734, 592 0.123
Race (African American) -1667 -0.21 -3893, 559 0.138
Hydroxybupropion/Bupropion R2 = 0.32 (p = 0.01)
Predictor B β 95% CI P
CYP2B6*6 (per # alleles) -4.22 -0.51 -6.60, -1.83 0.001
CYP2B6*18 (per # alleles) -6.69 -0.30 -13.56, 0.18 0.056
Sex (female) 1.88 0.16 -1.57, 5.33 0.277
Race (Asian) -4.00 -0.26 -8.66, 0.66 0.090
Race (African American) -0.25 -0.02 -4.15, 3.65 0.897
‡

AUC in hr*ng/mL

The B and β provided refers to the variables listed in parentheses beside each categorical predictor.