Table III.

Crude and adjusted odds ratios for the effect of genotype on one-year smoking status.

	Abstinent Not Abstinent		Crude		Model set 1*		Model 2**
Genotype			OR 95% CI	p-value^	OR 95% CI	p-value^^	OR 95% CI	p-value^^
TaqIA				0.030		0.027		0.033
A2/A2	1 61	434	1.00 (reference)		1.00 (reference)		1.00 (reference)
Any A1	58	228	0.69 (0.49–0.96)		0.68 (0.48–0.96)		0.47 (0.24–0.94)
TaqIB				0.256		0.239		0.184
B2/B2	168	482	1.00 (reference)		1.00 (reference)		1.00 (reference)
Any B1	51	180	0.81 (0.57–1.16)		0.80 (0.56–1.16)		1.66 (0.79–3.51)
C957T				0.214		0.153		0.261
TT	82	209	1.00 (reference)		1.00 (reference)		1.00 (reference)
Any C	133	444	1.29 (0.86–1.93)		1.35 (0.90–2.03)		1.29 (0.83–2.02)
-141C Ins/Del				0.624		0.561		0.900
C/C	174	518	1.00 (reference)		1.00 (reference)		1.00 (reference)
Any Del	44	144	0.91 (0.62–1.33)		0.892 (0.61–1.31)		0.98 (0.65–1.45)
Any 9-repeat allele				0.900		0.822
No	97	290	1.00 (reference)		1.00 (reference)
Yes	122	372	1.02 (0.75–1.39)		1.04 (0.76–1.41)

^*Model Set 1 uses logistic regression to adjust the genotype-smoking outcome associations (expressed as odds ratios) for factors (gender, decade of age, and quarter of enrollment) used to match the case and controls groups. N=881 for the TaqIA, TaqIB and SLC6A3 models. N=868 fo the C957T model. N=880 for the -141C Ins/Del model.

^**Model 2 uses logistic regression to adjust the genotype-smoking outcome associations (expressed as odds ratios) for matching factors and for each of the other DRD2 genetic risk factors. N=867

^{^}Chi-square test

^{^^}Wald Test