Influence of a Dopamine Pathway Additive Genetic Efficacy Score on Smoking Cessation: Results from Two Randomized Clinical Trials of Bupropion.

Alpert Medical School of Brown University: Department of Family Medicine, Pawtucket, RI, USA.
Addiction (Impact Factor: 4.74). 08/2013; 108(12). DOI: 10.1111/add.12325
Source: PubMed


To evaluate associations of treatment and an 'additive genetic efficacy score' (AGES) based on dopamine functional polymorphisms with time to first smoking lapse and point prevalence abstinence at end of treatment among participants enrolled in two randomized clinical trials of smoking cessation therapies.
Double-blind pharmacogenetic efficacy trials randomizing participants to active or placebo bupropion. Study 1 also randomized participants to cognitive-behavioral smoking cessation treatment (CBT) or this treatment with CBT for depression. Study 2 provided standardized behavioural support.
Two Hospital-affiliated clinics (Study 1), and two University-affiliated clinics (Study 2).
N=792 self-identified white treatment-seeking smokers aged ≥18 years smoking ≥10 cigarettes per day over the last year.
Age, gender, Fagerström Test for Nicotine Dependence, dopamine pathway genotypes (rs1800497 [ANKK1 E713K], rs4680 [COMT V158M], DRD4 exon 3 Variable Number of Tandem Repeats polymorphism [DRD4 VNTR], SLC6A3 3' VNTR) analyzed both separately and as part of an AGES, time to first lapse, and point prevalence abstinence at end of treatment.
Significant associations of the AGES (hazard ratio = 1.10, 95% Confidence Interval [CI] = 1.06-1.14], p=0.0099) and of the DRD4 VNTR (HR = 1.29, 95%CI 1.17-1.41, p=0.0073) were observed with time to first lapse. A significant AGES by pharmacotherapy interaction was observed (β [SE]=-0.18 [0.07], p=0.016), such that AGES predicted risk for time to first lapse only for individuals randomized to placebo.
A score based on functional polymorphisms relating to dopamine pathways appears to predict lapse to smoking following a quit attempt, and the association is mitigated in smokers using bupropion.

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Available from: Sean P David, Nov 28, 2015
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    • "" The hypothesis-driven approach can furnish genetic variants that measure individual differences in difficult-to-observe biological processes. For example, a recent study of smoking cessation used a hypothesis-driven approach to construct a genetic measure of dopamine signaling in the brain (David et al. 2013). The authors then used that genetic measure to test the hypothesis that dopamine signaling capacity would predict smoking cessation therapy outcome. "
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