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Logo of nihpaAbout Author manuscriptsSubmit a manuscriptNIH Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Cancer Epidemiol Biomarkers Prev. Author manuscript; available in PMC Oct 1, 2010.
Published in final edited form as:
PMCID: PMC2759850
NIHMSID: NIHMS135376
NICOTINIC ACETYLCHOLINE RECEPTOR β2 SUBUNIT (CHRNB2) GENE AND SHORT-TERM ABILITY TO QUIT SMOKING IN RESPONSE TO NICOTINE PATCH
Kenneth A. Perkins,1 Caryn Lerman,2 Melissa Mercincavage,1 Carolyn A. Fonte,1 and Jessica L. Briski1
1Western Psychiatric Institute & Clinic, University of Pittsburgh, Pittsburgh Pennsylvania.
2Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania.
Requests for Reprints: Kenneth A. Perkins, Western Psychiatric Institute & Clinic, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA 15213, USA. Telephone: (412) 246-5395. FAX: (412) 246-5390. perkinska/at/upmc.edu
Competing Interest Statement: Kenneth Perkins has served as a consultant for GlaxoSmithKline. Caryn Lerman has served as a consultant for GlaxoSmithKline, Pfizer, Novartis, and Astra Zeneca. She has received research funding, unrelated to the current study, from Pfizer, GlaxoSmithKline, and Astra Zeneca. No other authors have any potential conflicts of interest to report.
Genes coding for nicotinic acetylcholine receptors (nAChRs) may influence response to nicotine replacement therapy (NRT) for smoking cessation. We examined the association of a 3’ UTR polymorphism (rs2072661) in the nAChR β2 subunit (CHRNB2) gene with quitting success in response to nicotine vs. placebo patch during a short-term test of patch effects. In a within-subjects cross-over design, smokers of European descent (n = 156) received 21 mg nicotine and placebo patch, in counter-balanced order, during two separate 5-day simulated quit attempts, each preceded by a week of ad lib smoking. Abstinence was assessed daily by carbon monoxide (CO) < 5 ppm. Smokers with the CHRNB2 GG genotype had more days of abstinence during the nicotine versus placebo patch week, compared to those with the AG or AA genotypes (p<.01). Moreover, nicotine patch increased the probability of quitting on the target quit day, quitting anytime during the patch week, and avoiding relapse among those with the GG genotype but not the AA/AG genotypes, although the nicotine x genotype interaction was significant only for quitting on the target quit day (p<.05). Regardless of patch condition, quitting on the target quit day was more likely in those with the GG genotype vs. AA/AG genotypes (p<.05). Genetic associations were not observed for craving or withdrawal responses to nicotine versus placebo patch. These findings are consistent with prior evidence of association of this variant with smoking cessation and suggest that polymorphisms in the nAChR β2 subunit gene may influence therapeutic responsiveness to cessation medications.
Keywords: CHRNB2, pharmacogenetics, nicotine replacement, smoking cessation
Pharmacogenetics research in nicotine dependence holds future promise for optimizing pharmacotherapy outcomes by tailoring the choice and dose of medications based on individuals’ genetic profiles (1,2). Results of such research also suggest directions for exploring the mechanisms through which genetic factors influence therapeutic response in clinical trials, as well as for understanding individual differences in severity of nicotine dependence (3).
Genes that regulate the structure or function of neuronal nicotinic acetylcholine receptors (nAChRs) are of particular interest in pharmacogenetic studies because nicotine’s actions in the brain underlie virtually all of the psychoactive effects of cigarette smoking. In particular, α4β2 nAChRs expressed on dopaminergic neurons in the ventral tegmental area play a key role in the reinforcing effects of nicotine (4), and are the target of nicotine dependence medications such as varenicline (5). Several studies (69) found no associations between various measures of nicotine dependence and a few single nucleotide polymorphisms (SNPs) in the nAChR β2 subunit gene (CHRNB2), although another found a gene-gene interaction between CHRNB2 and CHRNA4 (10). Yet, a recent pharmacogenetic investigation (11) examining over 1,200 SNPs in a pathway-based analysis of nAChR and dopamine-related genes found a highly significant association of a 3’UTR SNP (rs2072661) in CHRNB2 with smoking cessation in a bupropion therapy trial. Specifically, the GG genotype was associated with a greater likelihood of quitting overall, and a more favorable response to bupropion versus placebo, compared to smokers with the minor allele (i.e. AA or AG). Although the function of this variant is unknown, these data suggest that CHRNB2 variation may play a significant role in a smoker’s ability to quit.
We examined the association of this CHRNB2 SNP (rs2072661) with ability to quit during a week of nicotine versus placebo patch use in a simulated quit trial. Genetic influences on therapeutic response to nicotine patch are potentially very important, as nicotine patch is the most widely used medication for smoking cessation, with at least 25% of all smokers having tried it (12). A unique feature of this study was the within-subjects cross-over design, in which all subjects received nicotine and placebo patch in different study phases, so that they could serve as their own controls.
Participants
Participants (n = 156) were those of European descent from a study aimed primarily at assessing characteristics, including current quit interest, of those better able to quit smoking while using nicotine versus placebo patch during a week of patch use (see 13, 14). Only those of European descent were included in this genetic analysis to reduce the potential for confounding by ancestry. Those eligible were required to be between the ages of 18 and 65 and to smoke at least 10 cigarettes per day for at least the past 2 years. Mean (SD) sample characteristics were as follows: 29.0 (11.0) yrs of age, 17.4 (5.1) cigarettes per day, and Fagerstrom Test of Nicotine Dependence (FTND; 15) score of 4.6 (1.4), indicating moderate dependence. Participants were recruited from the surrounding community. Advertisements indicated that smokers who were or were not interested in quitting soon were eligible.
Current quit interest, or motivation to make a permanent quit attempt soon, was a focus of the primary study (13) and served as a covariate in analyses (see Data Analyses). “High” quit interest labeled those who wanted to quit permanently within the next 1 month (n = 64), while “low” quit interest labeled those who had no intention of quitting in the next 6 months (n = 92). Those stating an intention to quit between 1 and 6 months were excluded from participation, while those interested in quitting immediately were referred to treatment programs elsewhere and not included in the study due to the need for smoking resumption between cross-over patch conditions.
Craving and withdrawal
Craving and withdrawal were assessed at every visit. The 11-item Questionnaire of Smoking Urges-brief (QSU; 16) assessed craving for cigarettes. Nicotine withdrawal was assessed by the Minnesota Nicotine Withdrawal Scale (www/uvm.edu/~hbpl), using the following 6 items: depressed mood/sad, irritable/angry/frustrated, anxious/nervous, difficulty concentrating, restless/impatient, and drowsiness. Items on each measure were rated on a 0 (“not at all”) to 100 (“extremely”) visual analog scale (VAS) and averaged to get total craving and total withdrawal.
Procedures
Procedural details for this study have been reported elsewhere (13). Briefly, this study involved a 4-week cross-over design, with two 2-week phases. Each phase consisted of ad lib smoking during the first week, followed by attempting to quit while using a patch during the second week. Following week 2, subjects proceeded to the next phase, starting with resumption of ad lib smoking during week 3. The phases differed only in the patch condition during the second week, nicotine (NicoDerm CQ 21 mg) versus placebo patches matched in size and appearance (1–800-patches Inc.; Salt Lake City UT). Order of nicotine and placebo patch across phases was counter-balanced between subjects. The main study also manipulated another between-subjects factor, monetary reinforcement versus no reinforcement for abstinence on each day of patch use (see 13), which was included as a covariate in the current analyses.
During the introductory session prior to week 1, all subjects, regardless of current quit interest, agreed that they would try to quit during the two patch weeks (weeks 2 and 4). Subjects were then randomized to either the abstinence reinforcement or the no reinforcement condition, stratified by quit interest group and sex. The reinforcement condition involved paying subjects $12 each day during the patch week that they had been quit for 24 hr, defined as CO < 5 ppm and self-report of no smoking at all in the last 24 hr. Subjects in the no reinforcement condition received no money for abstinence but otherwise were treated the same as those in the reinforcement condition.
Participants came to the clinic 3 days per week during each ad lib smoking week (e.g. Mon, Wed, Fri) and all 5 weekdays (Mon–Fri) during each patch week. Daily assessments included CO, withdrawal, and craving. Only abstinence on Tues–Fri of each patch week (i.e. range of 0–4 days per week) was included in data analyses because patch use did not begin until Mon morning, just a few hrs prior to the Mon clinic visit. This study was conducted in accordance with the principles of the Helsinki Declaration and approved by the University of Pittsburgh Institutional Review Board.
Genotyping
Taqman 5’ nuclease PCR primers and probes for alleles of a 3’ UTR polymorphism (rs2072661) in the nAChR β2 subunit (CHRNB2) gene were obtained as Assay-On-Demand (C_15949677_10) from Applied Biosystems (ABI, Foster City, CA). Each probe consisted of an oligonucleotide with a fluorescent reporter dye, a non-fluorescent quencher and minor groove binder (MGB). Allele-specific cleavage of probes was detected using different reporter dyes for each probe (6FAM and VIC fluorophores for the each allele) with separate wavelength maxima. PCR amplifications were set up in a 384-well plate format in total volume of 5 µl, containing 2.5 ul 2X universal master mix, 0.25 ul 1X primer and probe from ABI and 2.25 ul of DNA at a concentration of 5 ng/ul. Controls representing each genotype for each variant and a no template (water) control were included in each 384-well plate. PCR was performed in ABI 7900 HT Sequence Detection System (ABI). After an enzyme activation step for 10 min at 95°C, 60 two-step cycles were performed; 15 sec denaturation at 95°C followed by 1 min annealing/extension at 60°C for all variants. After PCR end-point fluorescence levels of 6FAM and VIC were measured automatically in each well using the SDS 2.1 manufacturer’s custom software (ABI). Allelic discrimination results were then graphed on a scatter plot contrasting reporter dye florescence (i.e., Allele A vs. Allele G). As in prior work (11), smokers were classified based on the presence (AA or AG) versus absence (GG) of the minor allele.
Data Analyses
No significant main or interaction effects were found for sex or patch order in preliminary analyses of variance (ANOVAs), and so subsequent analyses collapsed across sex and patch order. The primary analysis was a repeated-measures ANOVA of days quit per patch week (range of 0–4), with CHRNB2 genotype (GG vs AG/AA) as the between-subjects factor and patch treatment (nicotine, placebo) as the within-subjects factor. Current quit interest and abstinence reinforcement condition were covariates in the ANOVA because of their influence on abstinence (13). We hypothesized an interaction of CHRNB2 genotype by patch condition, showing differential success in quitting due to nicotine versus placebo patch as a function of genotype. We also used nonparametric tests to determine the main effects of nicotine versus placebo patch (Wilcoxon signed ranks) and of genotype (Chi-square), and the interaction of nicotine x genotype (Mann-Whitney U test), on: 1) ability to quit on the target quit day of each patch week (i.e. meeting abstinence criteria on the first full day of abstinence assessment, Tuesday); 2) ability to quit at all during each patch week (i.e. meeting abstinence criteria on at least one day that week); and 3) ability to avoid relapse during the patch week after initiating abstinence (i.e. no relapse at any point before the end of the week). In exploratory analyses of craving and withdrawal, we used repeated measures linear mixed effects models with REML estimation to determine effects of nicotine patch, genotype, and day. All models assumed a compound symmetric covariance structure between repeated measurements.
Ninety-six subjects (61.5%) were homozygous for the G allele (i.e. GG genotype), while 60 (38.5%) were homozygous for the A allele (AA, n=12, 7.7%) or were heterozygous (AG, n=48, 30.8%). The allele frequencies were in Hardy-Weinberg Equilibrium (p = 0.24). The demographic and smoking history characteristics of the GG and AG/AA genotype groups are presented in Table 1. The groups did not differ significantly on any of these characteristics.
Table 1
Table 1
Mean (SE) demographics and smoking history characteristics for each CHRNB2 genotype group. Groups did not differ on any characteristics.
CHRNB2 genotype, nicotine patch, and ability to quit smoking
The distribution of the number of quit days (0–4) for nicotine and placebo patch weeks is presented for each CHRNB2 genotype in Table 2. A significant CHRNB2 genotype x patch condition interaction effect was found for days quit during the patch weeks, F (1,152) = 7.64, p < .01. As shown in Figure 1, days quit due to the nicotine versus placebo patch were greater among smokers with the GG genotype compared to those with AG or AA genotypes. No main effects were observed for genotype or patch condition, both F (1,152) < 1.
Table 2
Table 2
Distribution of the number of quit days per patch week (range = 0–4), by CHRNB2 genotype.
Figure 1
Figure 1
Days abstinent during nicotine versus patch weeks (range = 0–4), by CHRNB2 genotype groups. The difference due to nicotine versus placebo was significant in GG (n=96) but not in AA/AG (n=60).
Nicotine (versus placebo) patch significantly increased ability to quit on the target quit date, ability to quit any time during the patch week, and ability to avoid relapse throughout the week among those who initiated quitting, Z’s of 2.14, 2.92, and 2.36, respectively, p’s <.05, .005, and .05. As shown in Figure 2, these effects of nicotine patch were significant for the GG but not AG or AA genotypes, although the interaction of genotype x nicotine was significant only for ability to quit on the target quit date, Z = 2.11, p<.05. Regardless of patch condition, those with the GG genotype were more likely than those with AG or AA genotypes to quit on the target quit date (i.e. main effect of genotype),χ2 (1) = 5.91, p<.05, but there were no main effects of genotype for the other two outcomes.
Figure 2
Figure 2
Percent quitting on the target quit day, quitting any day during the patch week, and avoiding relapse if able to quit, during nicotine versus placebo patch weeks by CHRNB2 genotype groups. The main effect of nicotine patch was significant for all three (more ...)
CHRNB2 genotype and craving, withdrawal
Because nicotine via smoking would confound responses to patch condition, the exploratory analyses of craving and withdrawal included only responses from abstinent days, limiting the amount of data (and power) available for analysis. Nicotine versus placebo patch decreased QSU craving, 29.8±2.6 vs 37.1±2.7, F (1, 328) = 25.81, p<.001, but not withdrawal, F(1, 325) < 1. The effects of nicotine did not differ by CHRNB2 genotype, as the interaction of genotype x nicotine was not significant for either craving, F(1, 328) < 1, or for withdrawal, F(1, 325) = 1.64, p>.20. There was also no main effect of genotype on craving or withdrawal, both F(1, 83) < 1.
This study provides evidence for association of a common 3’UTR SNP in the β2 subunit nAChR gene with responsiveness to nicotine patch effects on abstinence in a one week simulated quit attempt. Specifically, those with the CHRNB2 GG genotype quit on more days with the nicotine versus placebo patch, compared to those with the AA or AG genotypes. In addition, nicotine patch increased the probability of quitting on the target quit day, quitting anytime during the patch week, and avoiding relapse during the week after initiating abstinence among those with the GG genotype but not AA/AG genotypes, although the interaction of nicotine x genotype was significant only for quitting on the target quit day. Therefore, our results suggest a rather specific benefit of nicotine patch in those with the GG genotype, that of enhancing their ability to initiate abstinence on the scheduled target quit day.
The CHRNB2 association with ability to quit due to nicotine versus placebo patch is consistent with the results of a prior pharmacogenetic study (11). Among participants in a randomized clinical trial of bupropion versus placebo, the odds of being abstinent at 6-month follow-up were significantly greater among smokers with the GG genotype than those with the AG or AA genotype, and there was a trend for greater responsiveness to bupropion in this group as well. Thus, genetic variation in CHRNB2 may be related to greater therapeutic response to cessation medications in general, or to medications acting on a mechanism which is shared by nicotine patch and bupropion. Conti et al. (11) also found an overall greater odds of abstinence at the end of 12 weeks of treatment, regardless of medication condition, for the GG genotype versus AG/AA, a main effect of CHRNB2 genotype we also observed for quitting on the target quit day, but not for quitting on any day or avoiding relapse once quit.
Although nicotine patch reduced craving, patch effects on craving and withdrawal did not reveal genotype differences in those responses to nicotine versus placebo patch that might help explain the greater quitting of those with the GG versus AG or AA genotypes. Yet, those analyses were exploratory in that they were limited to only those days when subjects were abstinent, so that responses to nicotine via patch would not be confounded with effects due to nicotine via smoking. Restricting these analyses to abstinent subjects may also introduce self-selection bias, as those unable to abstain may have experienced the most severe withdrawal. Possible genetic influences on craving and withdrawal responses to NRT should be examined in larger samples during enforced periods of abstinence to reduce the self-selection bias (i.e. ability to quit each patch week) that may have obscured our results on craving and withdrawal. Moreover, smoking history and demographic characteristics did not differ between CHRNB2 genotypes (Table 1), consistent with prior studies (69) and suggesting that the greater ability of those with the GG genotype to quit with nicotine patch is not due to a difference in level of dependence or smoking behavior, but rather to unique influences on the ability to quit.
These results are limited in several ways, and the associations of CHRNB2 with quitting success on nicotine patch require replication. First, our sample of 156 was small for genetic analyses, although the within-subjects design greatly enhanced power by allowing subjects to act as their own controls (see 17). Moreover, power in the ANOVA was further augmented by our continuous dependent measure of abstinence of the number of days quit, compared with the dichotomous dependent measure of abstinent versus relapsed typical in clinical trials. Second, in addition to the possible bias in the analysis of withdrawal and craving, noted previously, our sample may have been biased due to self-selection of smokers interested in participating in a short-term simulated clinical trial, rather than an actual clinical trial. Third, and similarly, the genotype differences in quitting due to nicotine patch may have been specific to the procedures or short duration of this simulated trial, and our findings need to be confirmed in an actual clinical trial of nicotine versus placebo patch involving long-term follow-up, as in the bupropion trial reported by Conti et al. (11).
Further studies are needed to determine whether the SNP in the present study has functional properties or is in linkage disequilibrium with unknown functional variants in CHRNB2. Building on the results from Conti et al. (11) with bupropion and the current study with NRT patch, such research should also examine associations of CHRNB2 with clinical response to other formulations of NRT and particularly to the other FDA-approved cessation medication, varenicline (ChantixR), which is a partial agonist of α4β2 nicotine receptors (5).
ACNOWLEDGMENTS
The authors thank John Scott, Sarah Coddington, Roy Chengappa, Robert Ferrell, Riju Ray, Paul Wileyto, Daniel Heitjan, and Don Baldwin for their assistance.
Grant support: NIH Grants P50 CA143187 and U01 DA20830.
1. Lerman CE, Schnoll RA, Munafò MR. Genetics and smoking cessation: Improving outcomes in smokers at risk. Am J Prev Med. 2007;33(6S):S398–S405. [PMC free article] [PubMed]
2. McClure JB, Swan GE. Tailoring nicotine replacement therapy: rationale and potential approaches. CNS Drugs. 2006;20:281–291. [PubMed]
3. Roden DM, Altman RB, Benowitz NL, et al. Pharmacogenomics: challenges and opportunities. Ann Int Med. 2006;145:749–757. [PubMed]
4. Picciotto MR, Zoli M, Rimondini R, et al. Acetylcholine receptors containing the beta 2 subunit are involved in the reinforcing properties of nicotine. Nature. 1998;391:173–177. [PubMed]
5. Rollema H, Chambers LK, Coe JW, et al. Pharmacological profile of the α4β2 nicotinic acetylcholine receptor partial agonist varenicline, an effective smoking cessation aid. Neuropharmacol. 2007;52:985–994. [PubMed]
6. Silverman MA, Neale MC, Sullivan PF, et al. Haplotypes of four novel single nucleotide polymorphisms in the nicotinic acetylcholine receptor beta2-subunit (CHRNB2) gene show no association with smoking initiation or nicotine dependence. Amer J Med Genet. 2000;96:646–653. [PubMed]
7. Lueders KK, Hu S, McHugh L, Myakishev MV, Sirota LA, Hamer DH. Genetic and functional analysis of single nucleotide polymorphisms in the β2-neuronal nicotinic acetylcholine receptor gene (CHRNB2) Nic Tob Res. 2002;4:115–125. [PubMed]
8. Feng Y, Niu T, Xing H, et al. A common haplotype of the nicotine acetylcholine receptor alpha 4 subunit gene is associated with vulnerability to nicotine addiction in men. Amer J Hum Genet. 2004;75:112–121. [PubMed]
9. Li MD, Beuten J, Ma JZ, et al. Ethnic- and gender-specific association of the nicotinic acetylcholine receptor alpha4 subunit gene (CHRNA4) with nicotine dependence. Hum Mol Genet. 2005;14:1211–1219. [PubMed]
10. Li MD, Lou X-Y, Chen G, Ma JZ, Elston RC. Gene-gene interactions among CHRNA4,CHRNB2, BDNF, and NTRK2 in nicotine dependence. Biol Psychiat. 2008;64:951–957. [PMC free article] [PubMed]
11. Conti DV, Lee W, Li D, et al. Nicotinic acetylcholine receptor β2 subunit gene implicated in a systems-based candidate gene study of smoking cessation. Hum Mol Genet. 2008;17:2834–2848. [PubMed]
12. Bansal MA, Cummings KM, Hyland A, Giovino GA. Stop-smoking medications: who uses them, who misuses them, and who is misinformed about them? Nic Tob Res. 2004;6 3:S303–S310. [PubMed]
13. Perkins KA, Lerman C, Stitzer ML, et al. Development of procedures for early human screening of smoking cessation medications. Clin Pharmacol Ther. 2008;84:216–221. [PubMed]
14. Perkins KA, Briski J, Fonte C, Scott J, Lerman C. Severity of tobacco abstinence symptoms varies by time of day. Nic Tob Res. 2009;11:84–91. [PMC free article] [PubMed]
15. Heatherton TF, Kozlowski LT, Frecker RC, Fagerstrom K-O. The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict. 1991;86:1119–1127. [PubMed]
16. Cox LS, Tiffany ST, Christen AG. Evaluation of the brief questionnaire of smoking urges (QSU-brief) in laboratory and clinical settings. Nic Tob Res. 2001;3:7–16. [PubMed]
17. Fleiss JL. The Design and Analysis of Clinical Experiments. New York: Wiley; 1986.