Human Molecular Genetics Advance Access published online on July 1, 2008
Human Molecular Genetics, doi:10.1093/hmg/ddn181
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Nicotinic acetylcholine receptor β2 subunit gene implicated in a systems-based candidate gene study of smoking cessation
1 Department of Preventive Medicine, Keck School of Medicine, Zilkha Neurogenetics Institute, University of Southern California, Los Angeles, CA USA 2 Evolutionary Systems Biology, Artificial Intelligence Center, SRI International, Menlo Park, CA USA 3 Center for Health Sciences, SRI International, Menlo Park, CA USA 4 Centre for Addiction and Mental Health and Department of Pharmacology, University of Toronto, Toronto, Ontario, Canada 5 Division of Clinical Pharmacology and Experimental Therapeutics, Medical Service, San Francisco General Hospital Medical Center, Department of Medicine, University of California, San Francisco, CA USA 6 Departments of Psychiatry and Abramson Cancer Center, University of Pennsylvania, Philadelphia, PA USA
* Corresponding Author: David V. Conti, Ph.D. Department of Preventive Medicine University of Southern California 1501 San Pablo Street ZNI 445 Los Angeles, CA 90089 Tel: 323-442-3140 Fax: 323-442-2448 Email: dconti{at}usc.edu
Received May 13, 2008; Revised June 11, 2008; Accepted June 17, 2008
While the efficacy of pharmacotherapy for tobacco dependence has been previously demonstrated, there is substantial variability among individuals in treatment response. We performed a systems-based candidate gene study of 1,295 single nucleotide polymorphisms (SNPs) in 58 genes within the neuronal nicotinic receptor and dopamine systems to investigate their role in smoking cessation in a bupropion placebo-controlled randomized clinical trial. Putative functional variants were supplemented with tagSNPs within each gene. We used global tests of main effects and treatment interactions, adjusting the p-values for multiple correlated tests. A SNP (rs2072661) in the 3' UTR region of the β2 nicotinic acetylcholine receptor subunit (CHRNB2) has an impact on abstinence rates at end of treatment (adjusted p = 0.01) and after a 6-month follow-up period (adjusted p = 0.0002). This latter p-value is also significant with adjustment for the number of genes tested. Independent of treatment at 6-month follow-up, individuals carrying the minor allele have substantially decreased odds of quitting (OR = 0.31; 95% CI 0.18–0.55). Effect estimates indicate that treatment is more effective for individuals with the wild-type (OR = 2.14, 95% CI 1.20-3.81) compared to individuals carrying the minor allele (OR = 0.83, 95% CI 0.32-2.19), although this difference is only suggestive (p = 0.10). Furthermore, this SNP demonstrated a role in the time to relapse (p = 0.0002) and an impact on withdrawal symptoms at target quit date (p = 0.0009). Overall, while our results indicate strong evidence for CHRNB2 in ability to quit smoking, these results require replication in an independent sample.
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