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A protocadherin gene cluster regulatory variant is associated with nicotine withdrawal and the urge to smoke

Abstract

Nicotine withdrawal symptoms contribute to relapse in smokers, thereby prolonging the harm caused by smoking. To investigate the molecular basis for this phenomenon, we conducted a genome-wide association study of DSM-IV nicotine withdrawal in a sample of African American (AA) and European American (EA) smokers. A combined AA and EA meta-analysis (n=8021) identified three highly correlated single nucleotide polymorphisms (SNPs) in the protocadherin (PCDH)-α, -β and -γ gene cluster on chromosome 5 that were associated with nicotine withdrawal (P<5 × 10−8). We then studied one of the SNPs, rs31746, in an independent sample of smokers who participated in an intravenous nicotine infusion study that followed overnight smoking abstinence. After nicotine infusion, abstinent smokers with the withdrawal risk allele experienced greater alleviation of their urges to smoke, as assessed by the Brief Questionnaire on Smoking Urges (BQSU). Prior work has shown that the PCDH-α, -β and -γ genes are expressed in neurons in a highly organized manner. We found that rs31746 mapped to a long-range neuron-specific enhancer element shown previously to regulate PCDH-α, -β and -γ gene expression. Using Braincloud mRNA expression data, we identified a robust and specific association between rs31746 and PCDH-β8 mRNA expression in frontal cortex tissue (P<1 × 10−5). We conclude that PCDH-α, -β and -γ gene cluster regulatory variation influences the severity of nicotine withdrawal. Further studies on the PCDH-α, -β and -γ genes and their role in nicotine withdrawal may inform the development of novel smoking cessation treatments and reduce the harm caused by tobacco smoking.

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References

  1. Banks E, Joshy G, Weber M, Liu B, Grenfell R, Egger S et al. Tobacco smoking and all-cause mortality in a large Australian cohort study: findings from a mature epidemic with current low smoking prevalence. BMC Med 2015; 13: 38.

    Article  Google Scholar 

  2. Carter BD, Abnet CC, Feskanich D, Freedman ND, Hartge P, Lewis CE et al. Smoking and mortality—beyond established causes. N Engl J Med 2015; 372: 631–640.

    Article  CAS  Google Scholar 

  3. Jha P, Ramasundarahettige C, Landsman V, Rostron B, Thun M, Anderson RN et al. 21st-century hazards of smoking and benefits of cessation in the United States. N Engl J Med 2013; 368: 341–350.

    Article  CAS  Google Scholar 

  4. Fiore MC, Novotny TE, Pierce JP, Giovino GA, Hatziandreu EJ, Newcomb PA et al. Methods used to quit smoking in the United States. Do cessation programs help? JAMA 1990; 263: 2760–2765.

    Article  CAS  Google Scholar 

  5. Zhou X, Nonnemaker J, Sherrill B, Gilsenan AW, Coste F, West R . Attempts to quit smoking and relapse: factors associated with success or failure from the ATTEMPT cohort study. Addict Behav 2009; 34: 365–373.

    Article  Google Scholar 

  6. Allen SS, Bade T, Hatsukami D, Center B . Craving, withdrawal, and smoking urges on days immediately prior to smoking relapse. Nicotine Tob Res 2008; 10: 35–45.

    Article  Google Scholar 

  7. West RJ, Hajek P, Belcher M . Severity of withdrawal symptoms as a predictor of outcome of an attempt to quit smoking. Psychol Med 1989; 19: 981–985.

    Article  CAS  Google Scholar 

  8. Hughes JR . Effects of abstinence from tobacco: valid symptoms and time course. Nicotine Tob Res 2007; 9: 315–327.

    Article  Google Scholar 

  9. Changeux JP . Nicotine addiction and nicotinic receptors: lessons from genetically modified mice. Nat Rev Neurosci 2010; 11: 389–401.

    Article  CAS  Google Scholar 

  10. Dani JA, Bertrand D . Nicotinic acetylcholine receptors and nicotinic cholinergic mechanisms of the central nervous system. Annu Rev Pharmacol Toxicol 2007; 47: 699–729.

    Article  CAS  Google Scholar 

  11. Gotti C, Clementi F, Fornari A, Gaimarri A, Guiducci S, Manfredi I et al. Structural and functional diversity of native brain neuronal nicotinic receptors. Biochem Pharmacol 2009; 78: 703–711.

    Article  CAS  Google Scholar 

  12. Cosgrove KP, Batis J, Bois F, Maciejewski PK, Esterlis I, Kloczynski T et al. Beta2-Nicotinic acetylcholine receptor availability during acute and prolonged abstinence from tobacco smoking. Arch Gen Psychiatry 2009; 66: 666–676.

    Article  CAS  Google Scholar 

  13. Mamede M, Ishizu K, Ueda M, Mukai T, Iida Y, Kawashima H et al. Temporal change in human nicotinic acetylcholine receptor after smoking cessation: 5IA SPECT study. J Nucl Med 2007; 48: 1829–1835.

    Article  CAS  Google Scholar 

  14. Fung YK, Schmid MJ, Anderson TM, Lau YS . Effects of nicotine withdrawal on central dopaminergic systems. Pharmacol Biochem Behav 1996; 53: 635–640.

    Article  CAS  Google Scholar 

  15. Hildebrand BE, Nomikos GG, Hertel P, Schilstrom B, Svensson TH . Reduced dopamine output in the nucleus accumbens but not in the medial prefrontal cortex in rats displaying a mecamylamine-precipitated nicotine withdrawal syndrome. Brain Res 1998; 779: 214–225.

    Article  CAS  Google Scholar 

  16. Rossetti ZL, Hmaidan Y, Gessa GL . Marked inhibition of mesolimbic dopamine release - a common feature of ethanol, morphine, cocaine and amphetamine abstinence in rats. Eur J Pharmacol 1992; 221: 227–234.

    Article  CAS  Google Scholar 

  17. Sutherland MT, McHugh MJ, Pariyadath V, Stein EA . Resting state functional connectivity in addiction: lessons learned and a road ahead. Neuroimage 2012; 62: 2281–2295.

    Article  Google Scholar 

  18. Lerman C, Gu H, Loughead J, Ruparel K, Yang Y, Stein EA . Large-scale brain network coupling predicts acute nicotine abstinence effects on craving and cognitive function. JAMA Psychiatry 2014; 71: 523–530.

    Article  Google Scholar 

  19. Pergadia ML, Agrawal A, Heath AC, Martin NG, Bucholz KK, Madden PA . Nicotine withdrawal symptoms in adolescent and adult twins. Twin Res Hum Genet 2010; 13: 359–369.

    Article  Google Scholar 

  20. Pergadia ML, Heath AC, Martin NG, Madden PA . Genetic analyses of DSM-IV nicotine withdrawal in adult twins. Psychol Med 2006; 36: 963–972.

    Article  Google Scholar 

  21. Xian H, Scherrer JF, Madden PA, Lyons MJ, Tsuang M, True WR et al. The heritability of failed smoking cessation and nicotine withdrawal in twins who smoked and attempted to quit. Nicotine Tob Res 2003; 5: 245–254.

    Article  CAS  Google Scholar 

  22. Xian H, Scherrer JF, Madden PA, Lyons MJ, Tsuang M, True WR et al. Latent class typology of nicotine withdrawal: genetic contributions and association with failed smoking cessation and psychiatric disorders. Psychol Med 2005; 35: 409–419.

    Article  Google Scholar 

  23. Gelernter J, Kranzler HR, Sherva R, Almasy L, Koesterer R, Smith AH et al. Genome-wide association study of alcohol dependence: significant findings in African- and European-Americans including novel risk loci. Mol Psychiatry 2014; 19: 41–49.

    Article  CAS  Google Scholar 

  24. Gelernter J, Kranzler HR, Sherva R, Koesterer R, Almasy L, Zhao H et al. Genome-wide association study of opioid dependence: multiple associations mapped to calcium and potassium pathways. Biol Psychiatry 2014; 76: 66–74.

    Article  CAS  Google Scholar 

  25. Gelernter J, Sherva R, Koesterer R, Almasy L, Zhao H, Kranzler HR et al. Genome-wide association study of cocaine dependence and related traits: FAM53B identified as a risk gene. Mol Psychiatry 2014; 19: 717–723.

    Article  CAS  Google Scholar 

  26. Bierut LJ, Madden PA, Breslau N, Johnson EO, Hatsukami D, Pomerleau OF et al. Novel genes identified in a high-density genome wide association study for nicotine dependence. Hum Mol Genet 2007; 16: 24–35.

    Article  CAS  Google Scholar 

  27. Bierut LJ, Strickland JR, Thompson JR, Afful SE, Cottler LB . Drug use and dependence in cocaine dependent subjects, community-based individuals, and their siblings. Drug Alcohol Depend 2008; 95: 14–22.

    Article  Google Scholar 

  28. Edenberg HJ . The collaborative study on the genetics of alcoholism: an update. Alcohol Res Health 2002; 26: 214–218.

    PubMed  Google Scholar 

  29. Gelernter J, Kranzler HR, Sherva R, Almasy L, Herman AI, Koesterer R et al. Genome-wide association study of nicotine dependence in American populations: identification of novel risk loci in both African-Americans and European-Americans. Biol Psychiatry 2015; 77: 493–503.

    Article  CAS  Google Scholar 

  30. Pierucci-Lagha A, Gelernter J, Feinn R, Cubells JF, Pearson D, Pollastri A et al. Diagnostic reliability of the Semi-structured Assessment for Drug Dependence and Alcoholism (SSADDA). Drug Alcohol Depend 2005; 80: 303–312.

    Article  Google Scholar 

  31. Sofuoglu M, Herman AI, Nadim H, Jatlow P . Rapid nicotine clearance is associated with greater reward and heart rate increases from intravenous nicotine. Neuropsychopharmacology 2012; 37: 1509–1516.

    Article  CAS  Google Scholar 

  32. Herman AI, Jatlow PI, Gelernter J, Listman JB, Sofuoglu M . COMT Val158Met modulates subjective responses to intravenous nicotine and cognitive performance in abstinent smokers. Pharmacogenomics J 2013; 13: 490–497.

    Article  CAS  Google Scholar 

  33. DeVito EE, Herman AI, Waters AJ, Valentine GW, Sofuoglu M . Subjective, physiological, and cognitive responses to intravenous nicotine: effects of sex and menstrual cycle phase. Neuropsychopharmacology 2014; 39: 1431–1440.

    Article  CAS  Google Scholar 

  34. Jensen KP, Herman AI, Morean ME, Kranzler HR, Gelernter J, Sofuoglu M . FKBP5 variation is associated with the acute and chronic effects of nicotine. Pharmacogenomics J 2015; 15: 340–346.

    Article  CAS  Google Scholar 

  35. First MB, Spitzer RL, Gibbon M, Williams JBW . The Structured Clinical Interview for Dsm-III-R Personality-Disorders (Scid-II).1. Description. J Pers Disord 1995; 9: 83–91.

    Article  Google Scholar 

  36. Dempsey D, Tutka P, Jacob P, Allen F, Schoedel K, Tyndale RF et al. Nicotine metabolite ratio as an index of cytochrome P450 2A6 metabolic activity. Clin Pharmacol Ther 2004; 76: 64–72.

    Article  CAS  Google Scholar 

  37. Hughes JR, Hatsukami D . Signs and symptoms of tobacco withdrawal. Arch Gen Psychiatry 1986; 43: 289–294.

    Article  CAS  Google Scholar 

  38. Cox LS, Tiffany ST, Christen AG . Evaluation of the brief questionnaire of smoking urges (QSU-brief) in laboratory and clinical settings. Nicotine Tob Res 2001; 3: 7–16.

    Article  CAS  Google Scholar 

  39. Djordjevic MV, Stellman SD, Zang E . Doses of nicotine and lung carcinogens delivered to cigarette smokers. J Natl Cancer Inst 2000; 92: 106–111.

    Article  CAS  Google Scholar 

  40. Howie BN, Donnelly P, Marchini J . A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet 2009; 5: e1000529.

    Article  Google Scholar 

  41. Abecasis GR, Altshuler D, Auton A, Brooks LD, Durbin RM, Gibbs RA et al. 1000 Genomes Project Consortium. A map of human genome variation from population-scale sequencing. Nature 2010; 467: 1061–1073.

    Article  Google Scholar 

  42. Yang BZ, Zhao H, Kranzler HR, Gelernter J . Practical population group assignment with selected informative markers: characteristics and properties of Bayesian clustering via STRUCTURE. Genet Epidemiol 2005; 28: 302–312.

    Article  Google Scholar 

  43. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 2007; 81: 559–575.

    Article  CAS  Google Scholar 

  44. Patterson N, Price AL, Reich D . Population structure and eigenanalysis. PLoS Genet 2006; 2: e190.

    Article  Google Scholar 

  45. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D . Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet 2006; 38: 904–909.

    Article  CAS  Google Scholar 

  46. Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP et al. LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics 2010; 26: 2336–2337.

    Article  CAS  Google Scholar 

  47. Guo Y, Monahan K, Wu H, Gertz J, Varley KE, Li W et al. CTCF/cohesin-mediated DNA looping is required for protocadherin alpha promoter choice. Proc Natl Acad Sci USA 2012; 109: 21081–21086.

    Article  CAS  Google Scholar 

  48. Kehayova P, Monahan K, Chen W, Maniatis T . Regulatory elements required for the activation and repression of the protocadherin-alpha gene cluster. Proc Natl Acad Sci USA 2011; 108: 17195–17200.

    Article  CAS  Google Scholar 

  49. Ribich S, Tasic B, Maniatis T . Identification of long-range regulatory elements in the protocadherin-alpha gene cluster. Proc Natl Acad Sci USA 2006; 103: 19719–19724.

    Article  CAS  Google Scholar 

  50. Consortium EP . An integrated encyclopedia of DNA elements in the human genome. Nature 2012; 489: 57–74.

    Article  Google Scholar 

  51. Karolchik D, Barber GP, Casper J, Clawson H, Cline MS, Diekhans M et al. The UCSC Genome Browser database: 2014 update. Nucleic Acids Res 2014; 42 (Database issue): D764–D770.

    Article  CAS  Google Scholar 

  52. Raney BJ, Dreszer TR, Barber GP, Clawson H, Fujita PA, Wang T et al. Track data hubs enable visualization of user-defined genome-wide annotations on the UCSC Genome Browser. Bioinformatics 2014; 30: 1003–1005.

    Article  CAS  Google Scholar 

  53. Colantuoni C, Lipska BK, Ye T, Hyde TM, Tao R, Leek JT et al. Temporal dynamics and genetic control of transcription in the human prefrontal cortex. Nature 2011; 478: 519–523.

    Article  CAS  Google Scholar 

  54. Hendricks PS, Ditre JW, Drobes DJ, Brandon TH . The early time course of smoking withdrawal effects. Psychopharmacology (Berl) 2006; 187: 385–396.

    Article  CAS  Google Scholar 

  55. Tiffany ST, Drobes DJ . The development and initial validation of a questionnaire on smoking urges. Br J Addict 1991; 86: 1467–1476.

    Article  CAS  Google Scholar 

  56. Yokota S, Hirayama T, Hirano K, Kaneko R, Toyoda S, Kawamura Y et al. Identification of the cluster control region for the protocadherin-beta genes located beyond the protocadherin-gamma cluster. J Biol Chem 2011; 286: 31885–31895.

    Article  CAS  Google Scholar 

  57. Hughes JR, Higgins ST, Bickel WK . Nicotine withdrawal versus other drug withdrawal syndromes: similarities and dissimilarities. Addiction 1994; 89: 1461–1470.

    Article  CAS  Google Scholar 

  58. West R, Ussher M . Is the ten-item Questionnaire of Smoking Urges (QSU-brief) more sensitive to abstinence than shorter craving measures? Psychopharmacology (Berl) 2010; 208: 427–432.

    Article  CAS  Google Scholar 

  59. Bujarski S, Roche DJ, Sheets ES, Krull JL, Guzman I, Ray LA . Modeling naturalistic craving, withdrawal, and affect during early nicotine abstinence: a pilot ecological momentary assessment study. Exp Clin Psychopharmacol 2015; 23: 81–89.

    Article  Google Scholar 

  60. Teneggi V, Tiffany ST, Squassante L, Milleri S, Ziviani L, Bye A . Smokers deprived of cigarettes for 72 h: effect of nicotine patches on craving and withdrawal. Psychopharmacology (Berl) 2002; 164: 177–187.

    Article  CAS  Google Scholar 

  61. Zipursky SL, Sanes JR . Chemoaffinity revisited: dscams, protocadherins, and neural circuit assembly. Cell 2010; 143: 343–353.

    Article  CAS  Google Scholar 

  62. Esumi S, Kakazu N, Taguchi Y, Hirayama T, Sasaki A, Hirabayashi T et al. Monoallelic yet combinatorial expression of variable exons of the protocadherin-alpha gene cluster in single neurons. Nat Genet 2005; 37: 171–176.

    Article  CAS  Google Scholar 

  63. Wu Q, Maniatis T . A striking organization of a large family of human neural cadherin-like cell adhesion genes. Cell 1999; 97: 779–790.

    Article  CAS  Google Scholar 

  64. Tasic B, Nabholz CE, Baldwin KK, Kim Y, Rueckert EH, Ribich SA et al. Promoter choice determines splice site selection in protocadherin alpha and gamma pre-mRNA splicing. Mol Cell 2002; 10: 21–33.

    Article  CAS  Google Scholar 

  65. Lefebvre JL, Kostadinov D, Chen WV, Maniatis T, Sanes JR . Protocadherins mediate dendritic self-avoidance in the mammalian nervous system. Nature 2012; 488: 517–521.

    Article  CAS  Google Scholar 

  66. Chen WV, Alvarez FJ, Lefebvre JL, Friedman B, Nwakeze C, Geiman E et al. Functional significance of isoform diversification in the protocadherin gamma gene cluster. Neuron 2012; 75: 402–409.

    Article  CAS  Google Scholar 

  67. Katori S, Hamada S, Noguchi Y, Fukuda E, Yamamoto T, Yamamoto H et al. Protocadherin-alpha family is required for serotonergic projections to appropriately innervate target brain areas. J Neurosci 2009; 29: 9137–9147.

    Article  CAS  Google Scholar 

  68. Fukuda E, Hamada S, Hasegawa S, Katori S, Sanbo M, Miyakawa T et al. Down-regulation of protocadherin-alpha A isoforms in mice changes contextual fear conditioning and spatial working memory. Eur J Neurosci 2008; 28: 1362–1376.

    Article  Google Scholar 

  69. Eipper-Mains JE, Kiraly DD, Duff MO, Horowitz MJ, McManus CJ, Eipper BA et al. Effects of cocaine and withdrawal on the mouse nucleus accumbens transcriptome. Genes Brain Behav 2013; 12: 21–33.

    Article  CAS  Google Scholar 

  70. McGowan PO, Suderman M, Sasaki A, Huang TC, Hallett M, Meaney MJ et al. Broad epigenetic signature of maternal care in the brain of adult rats. PLoS One 2011; 6: e14739.

    Article  CAS  Google Scholar 

  71. Liu D, Diorio J, Tannenbaum B, Caldji C, Francis D, Freedman A et al. Maternal care, hippocampal glucocorticoid receptors, and hypothalamic-pituitary-adrenal responses to stress. Science 1997; 277: 1659–1662.

    Article  CAS  Google Scholar 

  72. Suderman M, McGowan PO, Sasaki A, Huang TC, Hallett MT, Meaney MJ et al. Conserved epigenetic sensitivity to early life experience in the rat and human hippocampus. Proc Natl Acad Sci USA 2012; 109 (Suppl 2): 17266–17272.

    Article  CAS  Google Scholar 

  73. Guillot CR, Pang RD, Leventhal AM . Anxiety sensitivity and negative urgency: a pathway to negative reinforcement-related smoking expectancies. J Addict Med 2014; 8: 189–194.

    Article  CAS  Google Scholar 

  74. Langdon KJ, Leventhal AM, Stewart S, Rosenfield D, Steeves D, Zvolensky MJ . Anhedonia and anxiety sensitivity: prospective relationships to nicotine withdrawal symptoms during smoking cessation. J Stud Alcohol Drugs 2013; 74: 469–478.

    Article  Google Scholar 

  75. Beckham JC, Lytle BL, Vrana SR, Hertzberg MA, Feldman ME, Shipley RH . Smoking withdrawal symptoms in response to a trauma-related stressor among Vietnam combat veterans with posttraumatic stress disorder. Addict Behav 1996; 21: 93–101.

    Article  CAS  Google Scholar 

  76. Brown RA, Lejuez CW, Kahler CW, Strong DR . Distress tolerance and duration of past smoking cessation attempts. J Abnorm Psychol 2002; 111: 180–185.

    Article  Google Scholar 

  77. Brown RA, Lejuez CW, Kahler CW, Strong DR, Zvolensky MJ . Distress tolerance and early smoking lapse. Clin Psychol Rev 2005; 25: 713–733.

    Article  Google Scholar 

  78. Smith PH, Homish GG, Giovino GA, Kozlowski LT . Cigarette smoking and mental illness: a study of nicotine withdrawal. Am J Public Health 2014; 104: e127–e133.

    Article  Google Scholar 

  79. Lu H, Stein EA . Resting state functional connectivity: its physiological basis and application in neuropharmacology. Neuropharmacology 2014; 84: 79–89.

    Article  CAS  Google Scholar 

  80. Piasecki TM, Jorenby DE, Smith SS, Fiore MC, Baker TB . Smoking withdrawal dynamics: I. Abstinence distress in lapsers and abstainers. J Abnorm Psychol 2003; 112: 3–13.

    Article  Google Scholar 

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Acknowledgements

This research was supported by the Veterans Administration (VA) Mental Illness Research, Education and Clinical Center (MIRECC) and a VA VISN1 Career Development Award; NIH grants R03 DA027474, R01 AA017535, R01 DA030976, R01 DA12690, MSTP 5T32GM007205-38, CTSA 8UL1TR000142 TL1, F30 DA037665; and Army STARRS, which is sponsored by the Department of the Army and funded under cooperative agreement number U01MH087981 with the US Department of Health and Human Services, National Institutes of Health, National Institute of Mental Health (NIH/NIMH). The Yale Biomedical Supercomputer, funded by NIH/NCRR (1 S10 RR19895-01), was used for some analyses. The publically available datasets used for the analyses described in this manuscript were obtained from dbGaP (accession number phs000092.v1.p and phs000417.v2.p1). Funding support for the Study of Addiction: Genetics and Environment (SAGE) was provided through the NIH Genes, Environment and Health Initiative (GEI) (U01 HG004422). SAGE is one of the genome-wide association studies funded as part of the Gene Environment Association Studies (GENEVA) under GEI. Assistance with phenotype harmonization and genotype cleaning and with general study coordination was provided by the GENEVA Coordinating Center (U01 HG004446). Assistance with data cleaning was provided by the National Center for Biotechnology Information. Support for collection of datasets and samples was provided by the Collaborative Study on the Genetics of Alcoholism (COGA; U10 AA008401), the Collaborative Genetic Study of Nicotine Dependence (COGEND; P01 CA089392) and the Family Study of Cocaine Dependence (FSCD; R01 DA013423). Funding for genotyping, which was performed at the Johns Hopkins University Center for Inherited Disease Research, was provided by the NIH GEI (U01HG004438), the National Institute on Alcohol Abuse and Alcoholism, the National Institute on Drug Abuse and the NIH contract 'High throughput genotyping for studying the genetic contributions to human disease' (HHSN268200782096C).

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Dr Sofuoglu has served as an expert witness on behalf of Pfizer in lawsuits related to varenicline. Dr Kranzler has served as a consultant or advisory board member for Alkermes, Indivior, Lundbeck and Otsuka. He is also a member of the American Society of Clinical Psychopharmacology’s Alcohol Clinical Trials Initiative, which is supported by AbbVie, Ethypharm, Lilly, Lundbeck and Pfizer. The remaining authors declare no biomedical financial interests or potential conflicts of interest.

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Jensen, K., Smith, A., Herman, A. et al. A protocadherin gene cluster regulatory variant is associated with nicotine withdrawal and the urge to smoke. Mol Psychiatry 22, 242–249 (2017). https://doi.org/10.1038/mp.2016.43

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