Table 2.

Logistic Regression Models Predicting Lifetime Alcohol Dependence Diagnosis from Alcohol Dependence Polygenic Scores, Intervention Status, and their Interaction among European Americans

	Main Effect Model				G × I Model
Parameter	b	SE	P	95% CI	b	SE	P	95% CI
Intercept	−14.81	7.89	0.06	[−30.27, 0.65]	−14.52	7.98	0.07	[−30.17, 1.13]
PC1	80.09	81.48	0.33	[−79.62, 239.79]	64.61	82.42	0.43	[−96.93, 226.15]
PC2	243.39	165.88	0.14	[−568.52, 81.74]	230.88	162.02	0.15	[−548.45, 86.68]
PC3	−60.96	62.70	0.33	[−183.85, 61.94]	−53.94	62.39	0.39	[−176.22, 68.33]
Age	0.04	0.02	0.12	[−0.01, 0.08]	0.04	0.02	0.12	[−0.01, 0.08]
Sex	−0.16	0.29	0.59	[−0.73, 0.42]	−0.14	0.30	0.63	[−0.73, 0.44]
Intervention	−0.04	0.29	0.88	[−0.61, 0.53]	0.01	0.30	0.98	[−0.58, 0.59]
AD-GPS	0.65	0.95	0.50	[−1.22, 2.52]	2.58	1.32	0.05	[0.00, 5.16]
AD-GPS × I	--	--	--	--	−4.29	1.95	0.03	[−8.11, −0.47]

Note. Boldface indicates estimates P < 0.05. PC = principal component for genetic ancestry. Age at Wave 10 assessment. Sex coded as 1 = male, and 0 = female. AD-GPS = alcohol dependence genome-wide polygenic scores. Intervention coded as 1 = intervention, and 0 = control. I = intervention. N = 271.