Interplay of genetic risk factors (CHRNA5-CHRNA3-CHRNB4) and cessation treatments in smoking cessation success.
- Authors
- Chen, Li-Shiun; Baker, Timothy B; Piper, Megan E; Breslau, Naomi; Cannon, Dale S; Doheny, Kimberly F; Gogarten, Stephanie M; Johnson, Eric O; Saccone, Nancy L; Wang, Jen C; Weiss, Robert B; Goate, Alison M; Bierut, Laura Jean
- Year
- 2012
- Journal
- The American journal of psychiatry
- PMID
- 22648373
- DOI
- 10.1176/appi.ajp.2012.11101545
- PMCID
- PMC3433845
OBJECTIVE: Smoking is highly intractable, and the genetic influences on cessation are unclear. Identifying the genetic factors affecting smoking cessation could elucidate the nature of tobacco dependence, enhance risk assessment, and support development of treatment algorithms. This study tested whether variants in the nicotinic receptor gene cluster CHRNA5-CHRNA3-CHRNB4 predict age at smoking cessation and relapse after an attempt to quit smoking. METHOD: In a community-based, crosssectional study (N=5,216) and a randomized comparative effectiveness smoking cessation trial (N=1,073), the authors used Cox proportional hazard models and logistic regression to model the relationships of smoking cessation (self-reported quit age in the community study and point-prevalence abstinence at the end of treatment in the clinical trial) to three common haplotypes in the CHRNA5-CHRNA3-CHRNB4 region defined by rs16969968 and rs680244. RESULTS: The genetic variants in the CHRNA5-CHRNA3-CHRNB4 region that predict nicotine dependence also predicted a later age at smoking cessation in the community sample. In the smoking cessation trial, haplotype predicted abstinence at end of treatment in individuals receiving placebo but not among individuals receiving active medication. Haplotype interacted with treatment in affecting cessation success. CONCLUSIONS: Smokers with the high-risk haplotype were three times as likely to respond to pharmacologic cessation treatments as were smokers with the low-risk haplotype. The high-risk haplotype increased the risk of cessation failure, and this increased risk was ameliorated by cessation pharmacotherapy. By identifying a high-risk genetic group with heightened response to smoking cessation pharmacotherapy, this work may support the development of personalized cessation treatments.
Interaction of Haplotypic Risk and Treatment Effect on Abstinence at End-of-TreatmentThe interaction of haplotypes and treatment on abstinence is significant (X2=8.97, df=2, p=0.011).Abstinence is defined at end of 8 Week treatment. Odds ratios are adjusted for age and gender.Haplotypes based on 2 SNPs (rs16969968, rs680244): H1=GC(20.8%), H2=GT(43.7%), H3=AC(35.5%).N=1073 (132 in the placebo group; 941 in the treatment group).
LLM interpretation
This grouped bar chart displays the odds ratios (OR) for abstinence at the end of an 8-week treatment across three haplotypes (H1, H2, and H3), comparing a placebo group (yellow) to a treatment group (green). H1 serves as the reference group, while the treatment group shows higher ORs for abstinence in H2 (1.11) and H3 (1.13) compared to the placebo group (0.62 and 0.37, respectively). The y-axis represents the OR for abstinence, and the x-axis categorizes the three haplotypes.
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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Genetic and Environmental Factors of Nicotine Addiction: Examination of Multiple Substance Addictions. | Albayrak M et al. | β | 2026 | β |
| A Review of Smoking Cessation Interventions: Efficacy, Strategies for Implementation, and Future Directions. | Onwuzo CN et al. | β | 2024 | β |
| Deep sequencing of candidate genes identified 14 variants associated with smoking abstinence in an ethnically diverse sample. | Cinciripini PM et al. | β | 2024 | β |
| Interaction between Continuous Pack-Years Smoked and Polygenic Risk Score on Lung Cancer Risk: Prospective Results from the Framingham Heart Study. | Duncan MS et al. | β | 2024 | β |
| Nicotinic Receptor Alpha-5 Subunit Gene Polymorphism is Associated With Heavy Smoking Under a Range of Nicotine Dosing Conditions. | Zuo Y et al. | β | 2024 | β |
| A scoping review of smoking cessation pharmacogenetic studies to advance future research across racial, ethnic, and ancestral populations. | Prom-Wormley EC et al. | β | 2023 | β |
| CHRNA5-A3-B4 and DRD2 Genes and Smoking Cessation Throughout Adulthood: A Longitudinal Study of Women. | Jones SK et al. | β | 2023 | β |
| CHRNA5 gene variation affects the response of VTA dopaminergic neurons during chronic nicotine exposure and withdrawal. | Yang K et al. | β | 2023 | β |
| Ethnic differences of genetic risk and smoking in lung cancer: two prospective cohort studies. | Zhu M et al. | β | 2023 | β |
| Genetic Associations with Smoking Relapse and Proportion of Follow-up in Smoking Relapse throughout Adulthood in Pre- and Postmenopausal Women. | Jones SK et al. | β | 2023 | β |
| Genomic medicine to reduce tobacco and related disorders: Translation to precision prevention and treatment. | Chen LS et al. | β | 2023 | β |
| How has the brain disease model of addiction contributed to tobacco control? | Hall W et al. | β | 2023 | β |
| Identification of Pathogenic Missense Mutations in the CHRNA5 Gene: A Computational Approach. | Kumaraguru M et al. | β | 2023 | β |
| Influence of Genes in the Individualization of Smoking Cessation Pharmacological Treatment. | Mirambeaux Villalona R | β | 2023 | β |
| New medications development for smoking cessation. | Lengel D et al. | β | 2023 | β |
| A systematic review of genetic variation within nicotinic acetylcholine receptor genes and cigarette smoking cessation. | Jones SK et al. | β | 2022 | β |
| Comparative Assessment of Outcomes in Drug Treatment for Smoking Cessation and Role of Genetic Polymorphisms of Human Nicotinic Acetylcholine Receptor Subunits. | Muderrisoglu A et al. | β | 2022 | β |
| Nicotine and opioid co-dependence: Findings from bench research to clinical trials. | Custodio L et al. | β | 2022 | β |
| The potential of DNA methylation as a biomarker for obesity and smoking. | Heikkinen A et al. | β | 2022 | β |
| The Promise of Polygenic Risk Prediction in Smoking Cessation: Evidence From Two Treatment Trials. | Bray M et al. | β | 2022 | β |
| Gene-based association analysis reveals involvement of LAMA5 and cell adhesion pathways in nicotine dependence in African- and European-American samples. | Fan R et al. | β | 2021 | β |
| Pharmacogenetics factors influencing smoking cessation success; the importance of nicotine metabolism. | Perez-Paramo YX et al. | β | 2021 | β |
| Rare deleterious germline variants and risk of lung cancer. | Liu Y et al. | β | 2021 | β |
| 2018 Langley Award for Basic Research on Nicotine and Tobacco: Bringing Precision Medicine to Smoking Cessation. | Bierut LJ | β | 2020 | β |
| Genetics of Smoking Behaviors in American Indians. | Henderson JA et al. | β | 2020 | β |
| Genetic Variant in CHRNA5 and Response to Varenicline and Combination Nicotine Replacement in a Randomized Placebo-Controlled Trial. | Chen LS et al. | β | 2020 | β |
| Transcriptome-wide association study reveals candidate causal genes for lung cancer. | BossΓ© Y et al. | β | 2020 | β |
| Variants in the CHRNA5-CHRNA3-CHRNB4 Region of Chromosome 15 Predict Gastrointestinal Adverse Events in the Transdisciplinary Tobacco Use Research Center Smoking Cessation Trial. | Culverhouse RC et al. | β | 2020 | β |
| Chronic Obstructive Pulmonary Disease Risk and Smoking Cessation Changes Induced by <i>CHRNA5-A3</i> and <i>CHRNB3-A6</i> Variation in a Chinese Male Population. | Zhao L et al. | β | 2019 | β |
| International Society of Psychiatric Genetics Ethics Committee: Issues facing us. | LΓ‘zaro-MuΓ±oz G et al. | β | 2019 | β |
| Neurogenetic determinants and mechanisms of addiction to nicotine and smoked tobacco. | Sharp BM et al. | β | 2019 | β |
| Not all smokers appear to seek nicotine for the same reasons: implications for preclinical research in nicotine dependence. | Garcia-Rivas V et al. | β | 2019 | β |
| Systematic Review of Polygenic Gene-Environment Interaction in Tobacco, Alcohol, and Cannabis Use. | Pasman JA et al. | β | 2019 | β |
| Tobacco Smoking: Risk to Develop Addiction, Chronic Obstructive Pulmonary Disease, and Lung Cancer. | Santoro A et al. | β | 2019 | β |
| Using genomic profiling for understanding and improving response to smoking cessation treatment. | Bierut LJ | β | 2019 | β |
| A novel genetic marker of decreased inflammation and improved survival after acute myocardial infarction. | Coverstone ED et al. | β | 2018 | β |
| From genes to treatments: a systematic review of the pharmacogenetics in smoking cessation. | Salloum NC et al. | β | 2018 | β |
| Genome-Wide Association Study of Heavy Smoking and Daily/Nondaily Smoking in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). | Saccone NL et al. | β | 2018 | β |
| Human Genetics of Addiction: New Insights and Future Directions. | Hancock DB et al. | β | 2018 | β |
| Leveraging Genomic Data in Smoking Cessation Trials in the Era of Precision Medicine: Why and How. | Chen LS et al. | β | 2018 | β |
| Nicotinic acetylcholine receptor gene polymorphism is not associated with tobacco-related oral squamous cell carcinoma. | Rajesh D et al. | β | 2018 | β |
| Pathways to precision medicine in smoking cessation treatments. | Chen LS et al. | β | 2018 | β |
| Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. | Bogdan R et al. | β | 2018 | β |
| Preparing the Way: Exploiting Genomic Medicine to Stop Smoking. | Bierut LJ et al. | β | 2018 | β |
| Smoking Interacts With CHRNA5, a Nicotinic Acetylcholine Receptor Subunit Gene, to Influence the Risk of IBD-Related Surgery. | Cushing KC et al. | β | 2018 | β |
| The Cholinergic System as a Treatment Target for Opioid Use Disorder. | Jensen KP et al. | β | 2018 | β |
| The Value of Biosamples in Smoking Cessation Trials: A Review of Genetic, Metabolomic, and Epigenetic Findings. | Saccone NL et al. | β | 2018 | β |
| Toward precision medicine in addiction treatment. | Volkow N | β | 2018 | β |
| Toward the implementation of genomic applications for smoking cessation and smoking-related diseases. | Ramsey AT et al. | β | 2018 | β |
| Use of polygenic risk scores of nicotine metabolism in predicting smoking behaviors. | Chen LS et al. | β | 2018 | β |
| Evaluation of a Novel Difficulty of Smoking Cessation Phenotype Based on Number of Quit Attempts. | Stevens VL et al. | β | 2017 | β |
| Genotype Γ Environment Interaction in Smoking Behaviors: A Systematic Review. | Do EK et al. | β | 2017 | β |
| Insomnia symptoms as a risk factor for cessation failure following smoking treatment. | Short NA et al. | β | 2017 | β |
| Lessons Learned From Past Gene-Environment Interaction Successes. | Ritz BR et al. | β | 2017 | β |
| Network analysis of the genomic basis of the placebo effect. | Wang RS et al. | β | 2017 | β |
| Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies. | Patel CJ et al. | β | 2017 | β |
| Pharmacogenetic Optimization of Smoking Cessation Treatment. | Chenoweth MJ et al. | β | 2017 | β |
| Pharmacotherapy for smoking cessation: effects by subgroup defined by genetically informed biomarkers. | Schuit E et al. | β | 2017 | β |
| Precision medicine and pharmacogenetics: what does oncology have that addiction medicine does not? | Kranzler HR et al. | β | 2017 | β |
| Relative contribution of genetic, individual, and self-efficacy factors to smoking cessation in a Chinese rural population. | Wang Q et al. | β | 2017 | β |
| An Adolescent Substance Prevention Model Blocks the Effect of CHRNA5 Genotype on Smoking During High School. | Vandenbergh DJ et al. | β | 2016 | β |
| Association between variants in nicotinic acetylcholine receptor genes and smoking cessation in a Chinese rural population. | Wang Q et al. | β | 2016 | β |
| Contribution of Variants in CHRNA5/A3/B4 Gene Cluster on Chromosome 15 to Tobacco Smoking: From Genetic Association to Mechanism. | Wen L et al. | β | 2016 | β |
| Converging findings from linkage and association analyses on susceptibility genes for smoking and other addictions. | Yang J et al. | β | 2016 | β |
| Genetic Risk Can Be Decreased: Quitting Smoking Decreases and Delays Lung Cancer for Smokers With High and Low CHRNA5 Risk Genotypes - A Meta-Analysis. | Chen LS et al. | β | 2016 | β |
| Genome-wide time-to-event analysis on smoking progression stages in a family-based study. | He L et al. | β | 2016 | β |
| Narrative review of genes, environment, and cigarettes. | Do E et al. | β | 2016 | β |
| Nicotinic acetylcholine receptors: upregulation, age-related effects and associations with drug use. | Melroy-Greif WE et al. | β | 2016 | β |
| Rare, low frequency and common coding variants in CHRNA5 and their contribution to nicotine dependence in European and African Americans. | Olfson E et al. | β | 2016 | β |
| Smokescreen: a targeted genotyping array for addiction research. | Baurley JW et al. | β | 2016 | β |
| Biomarkers of Response to Smoking Cessation Pharmacotherapies: Progress to Date. | Mamoun M et al. | β | 2015 | β |
| CHRNA5 risk variant predicts delayed smoking cessation and earlier lung cancer diagnosis--a meta-analysis. | Chen LS et al. | β | 2015 | β |
| Effect of the rs1051730-rs16969968 variant and smoking cessation treatment: a meta-analysis. | Leung T et al. | β | 2015 | β |
| Genetic variation (CHRNA5), medication (combination nicotine replacement therapy vs. varenicline), and smoking cessation. | Chen LS et al. | β | 2015 | β |
| Lack of Associations of CHRNA5-A3-B4 Genetic Variants with Smoking Cessation Treatment Outcomes in Caucasian Smokers despite Associations with Baseline Smoking. | Tyndale RF et al. | β | 2015 | β |
| New mechanisms and perspectives in nicotine withdrawal. | Jackson KJ et al. | β | 2015 | β |
| Pharmacogenetics of nicotine and associated smoking behaviors. | Tanner JA et al. | β | 2015 | β |
| Response to Transdermal Selegiline Smoking Cessation Therapy and Markers in the 15q24 Chromosomal Region. | Sarginson JE et al. | β | 2015 | β |
| Resting-state functional connectivity and nicotine addiction: prospects for biomarker development. | Fedota JR et al. | β | 2015 | β |
| Risky Business: Pathways to Progress in Biologically Informed Studies of Psychopathology. | Agrawal A et al. | β | 2015 | β |
| The value of control conditions for evaluating pharmacogenetic effects. | Chen LS et al. | β | 2015 | β |
| UGMDR: a unified conceptual framework for detection of multifactor interactions underlying complex traits. | Lou XY | β | 2015 | β |
| Advancing the understanding of craving during smoking cessation attempts: a demonstration of the time-varying effect model. | Lanza ST et al. | β | 2014 | β |
| A glimpse into the future - Personalized medicine for smoking cessation. | Bierut LJ et al. | β | 2014 | β |
| Association of CHRNA5-A3-B4 SNP rs2036527 with smoking cessation therapy response in African-American smokers. | Zhu AZ et al. | β | 2014 | β |
| CHRNA5 variant predicts smoking cessation in patients with acute myocardial infarction. | Chen LS et al. | β | 2014 | β |
| Commentary on Chen etβal. (2014): another step on the road to clinical utility of pharmacogenetics for smoking cessation? | David SP | β | 2014 | β |
| Gene-environment interaction. | Manuck SB et al. | β | 2014 | β |
| Interplay of genetic risk (CHRNA5) and environmental risk (partner smoking) on cigarette smoking reduction. | Chen LS et al. | β | 2014 | β |
| Nicotine dependence as a moderator of genetic influences on smoking cessation treatment outcome. | Leventhal AM et al. | β | 2014 | β |
| Organic cation transporter variation and response to smoking cessation therapies. | Bergen AW et al. | β | 2014 | β |
| Pharmacotherapy effects on smoking cessation vary with nicotine metabolism gene (CYP2A6). | Chen LS et al. | β | 2014 | β |
| Propensity for social interaction predicts nicotine-reinforced behaviors in outbred rats. | Wang T et al. | β | 2014 | β |
| Role of nicotine dependence on the relationship between variants in the nicotinic receptor genes and risk of lung adenocarcinoma. | Tseng TS et al. | β | 2014 | β |
| The Genetics, Neurogenetics and Pharmacogenetics of Addiction. | Demers CH et al. | β | 2014 | β |
| The promise of using personalized genomic information to promote behavior change: is the debate over, or just beginning? | Graves KD et al. | β | 2014 | β |
| Variants in two adjacent genes, EGLN2 and CYP2A6, influence smoking behavior related to disease risk via different mechanisms. | Bloom AJ et al. | β | 2014 | β |
| Biomarkers for smoking cessation. | Bough KJ et al. | β | 2013 | β |
| Genetics in population health science: strategies and opportunities. | Belsky DW et al. | β | 2013 | β |
| Genomics and personalized medicine: <i>CHRNA5-CHRNA3-CHRNB4</i> and smoking cessation treatment. | Chen LS et al. | β | 2013 | β |
| Influence of a dopamine pathway additive genetic efficacy score on smoking cessation: results from two randomized clinical trials of bupropion. | David SP et al. | β | 2013 | β |
| Integrating genetic and genomic information into effective cancer care in diverse populations. | Fashoyin-Aje L et al. | β | 2013 | β |
| Interventions for tobacco smoking. | Schlam TR et al. | β | 2013 | β |
| Nicotinic acetylcholine receptor variation and response to smoking cessation therapies. | Bergen AW et al. | β | 2013 | β |
| Nicotinic receptors in addiction pathways. | Leslie FM et al. | β | 2013 | β |
| Polygenic risk and the developmental progression to heavy, persistent smoking and nicotine dependence: evidence from a 4-decade longitudinal study. | Belsky DW et al. | β | 2013 | β |
| The intergenerational transmission of smoking in adulthood: a 25-year study of maternal and offspring maladaptive attributes. | Brook JS et al. | β | 2013 | β |
| Addiction science, meet translational genomics. | Koenig BA | β | 2012 | β |
| Method for evaluating multiple mediators: mediating effects of smoking and COPD on the association between the CHRNA5-A3 variant and lung cancer risk. | Wang J et al. | β | 2012 | β |