Abstract
Evidence for shared heritable influences across domains of substance use suggests that some genetic variants influence broad risk for externalizing behaviors. Theories of externalizing psychopathology also suggest that genetic liability for substance use manifests as temperamental risk factors, particularly those related to behavioral disinhibition, during adolescence. The cholinergic muscarinic receptor 2 gene (CHRM2) is a promising candidate for studying genetic influences on broad-based risk for externalizing traits. This study examined a candidate CHRM2 polymorphism (rs1455858) in relation to substance use and personality measures of disinhibition in a sample of high-risk adolescents (n = 124). Bivariate analyses and structural equation modeling (SEM) evaluated associations of rs1455858 with measures of drug involvement (alcohol, tobacco and marijuana) and disinhibition (indexed by impulsivity and sensation seeking scores). Bivariate analyses showed significant associations of CHRM2 with several behavioral phenotypes. In SEM analyses CHRM2 related significantly to latent measures of substance use and disinhibition; additionally, disinhibition mediated the association of CHRM2 with substance use. These results suggest that CHRM2 variants are potentially relevant for adolescent substance use and that temperamental risk factors could contribute to these associations.
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Agrawal, A., & Lynskey, M. T. (2006). The genetic epidemiology of cannabis use, abuse and dependence. Addictive Behaviors, 101, 801–812.
Agrawal, A., & Lynskey, M. T. (2008). Are there genetic influences on addiction? Evidence from family, adoption to twin studies. Addiction, 103, 1069–1081.
Agrawal, A., Neale, M. C., Jacobson, K. C., Prescott, C. A., & Kendler, K. S. (2005). Illicit drug use and abuse/dependence: Modeling of two-stage variables using the CCC approach. Addictive Behaviors, 30, 1043–1048.
Aron, A. R., & Poldrack, R. A. (2006). Cortical and subcortical contributions to stop signal response inhibition: Role of the subthalamic nucleus. The Journal of Neuroscience, 26, 2424–2433.
Banich, M. T., Crowley, T. J., Thompson, L. L., Jacobson, B. L., Liu, X., Raymond, K. M., et al. (2007). Brain activation during the Stroop task in adolescents with severe substance and conduct problems: A pilot study. Drug and Alcohol Dependence, 90, 175–182.
Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50, 7–15.
Bickel, W. K., Odum, A. L., & Madden, G. J. (1999). Impulsivity and cigarette smoking: Delay discounting in current, never, and ex-smokers. Psychopharmacology, 146, 447–454.
Cannon, D. M., Klaver, J. K., Gandhi, S. K., Solorio, G., Peck, S. A., Erickson, K. N, Drevets, W. C. (2010). Genetic variation in cholinergic muscarinic-2 receptor gene modulates M(2) receptor binding in vivo and accounts for reduced binding in bipolar disorder. Molecular Psychiatry (Epub ahead of print)
Comings, D. E., Wu, S., Rostamkhani, M., McGue, M., Iacono, W. G., Cheng, L. S. C., et al. (2003). Role of the cholinergic muscarinic 2 receptor (CHRM2) gene in cognition. Molecular Psychiatry, 8, 10–11.
Conduct Problems Prevention Research Group. (2007). Fast track randomized controlled trial to prevent externalizing psychiatric disorders: Findings from grades 3 to 9. Journal of the American Academy of Child and Adolescent Psychiatry, 46, 1250–1262.
Congdon, E., & Canli, T. (2005). The endophenotype of impulsivity: Reaching consilience through behavioral, genetic, and neuroimaging approaches. Behavioral and Cognitive Neuroscience Reviews, 4, 262–281.
Congdon, E., & Canli, T. (2008). A neurogenetic approach to impulsivity. Journal of Personality, 76, 1447–1483.
Connell, A., Bullock, B. M., Dishion, T. J., Shaw, D., Wilson, M., & Gardner, F. (2008). Family intervention effects on co-occurring early childhood behavioral and emotional problems: A latent transition analysis approach. Journal of Abnormal Child Psychology, 36, 1211–1225.
Dick, D. M., Agrawal, A., Wang, J. C., Hinrichs, A., Bertelsen, S., Bucholz, K. K., et al. (2007). Alcohol dependence with comorbid drug dependence: Genetic and phenotypic associations suggest a more severe form of the disorder with stronger genetic contribution to risk. Addiction, 102, 1131–1139.
Dick, D. M., Aliev, F., Kramer, J., Wang, J. C., Hinrichs, A., Bertelsen, S., et al. (2007). Association of CHRM2 with IQ: Converging evidence for a gene influencing intelligence. Behavioral Genetics, 37, 265–272.
Dick, D. M., Aliev, F., Wang, J. C., Grucza, R. A., Schuckit, M., Kuperman, S., et al. (2008). Using dimensional models of externalizing psychopathology to aid in gene identification. Archives of General Psychiatry, 65, 310–318.
Dick, D. M., Smith, G., Olausson, P., Mitchell, S. H., Leeman, R. F., O'Malley, S. S., et al. (2010). Understanding the construct of impulsivity and its relationship to alcohol use disorders. Addiction Biology, 15, 217–226.
Dishion, T. J., Shaw, D., Connell, A., Gardner, F., Weaver, C., & Wilson, M. (2008). The family check-up with high-risk indigent families: Preventing problem behavior by increasing parents’ positive behavior support in early childhood. Child Development, 79, 1395–1414.
Donohew, L., Zimmerman, R., Cupp, P. S., Novak, S., Colon, S., & Abell, R. (2000). Sensation seeking, impulsive decision-making, and risky sex: Implications for risk-taking and design of interventions. Personality and Individual Differences, 28, 1079–1091.
Eyberg, S. M., Nelson, M. M., & Boggs, S. R. (2008). Evidence-based psychosocial treatments for children and adolescents with disruptive behavior. Journal of Clinical Child and Adolescent Psychology, 37, 215–237.
Finn, P. R. (2002). Motivation, working memory, and decision making: A cognitive- motivational theory of personality vulnerability to alcoholism. Behavioral and Cognitive Neuroscience Reviews, 1, 183–205.
Finn, P. R., & Hall, J. (2004). Cognitive ability and risk for alcoholism: Short-term memory capacity and intelligence moderate personality risk for alcohol problems. Journal of Abnormal Psychology, 113, 569–581.
Finn, P. R., Mazas, C. A., Justus, A. N., & Steinmetz, J. (2002). Early-onset alcoholism with conduct disorder: Go/no go learning deficits, working memory capacity, and personality. Alcoholism, Clinical and Experimental Research, 26, 186–206.
Foroud, T., Edenberg, H. J., Goate, A., Rice, J., Flury, L., Koller, D. L., et al. (2000). Alcoholism susceptibility loci: Confirmation studies in a replicate sample and further mapping. Alcoholism, Clinical and Experimental Research, 24, 933–945.
Friedman, N. P., Miyake, A., Young, S. E., DeFries, J. C., Corley, R. P., & Hewitt, J. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology. General, 137, 201–225.
Gosso, M. F., van Belzen, M., de Geus, E. J. C., Polderman, J. C., Heutink, P., Boomsma, D. I., et al. (2006). Association between the CHRM2 gene and intelligence in a sample of 304 Dutch families. Genes, Brain, and Behavior, 5, 577–584.
Gosso, F. M., De Geus, E. J., Polderman, T. J., Boomsma, D. I., Posthuma, D., Heutink, P. (2007). Exploring the functional role of the CHRM2 gene in human cognition: Results from a dense genotyping to brain expression study. BMC Medical Genetics, 8
Grant, B. F., & Dawson, D. A. (1997). Age at onset of alcohol use and its association with DSM-IV alcohol abuse and dependence: Results from the National Longitudinal Alcohol Epidemiologic Survey. Journal of Substance Abuse, 9, 103–110.
Green, L., Fry, A. F., & Myerson, J. (1994). Discounting of delayed rewards: A life-span comparison. Psychological Science, 5, 33–36.
Han, C., McGue, M. K., & Iacono, W. G. (1999). Lifetime tobacco, alcohol and other substance use in adolescent Minnesota twins: Univariate and multivariate behavioral genetic analyses. Addiction, 94, 981–993.
Hingson, R. W., Heeren, T., Jamanka, A., & Howland, J. (2000). Age of drinking onset and unintentional injury involvement after drinking. JAMA, the Journal of the American Medical Association, 284, 1527–1533.
Hopfer, C. J., Crowley, T. J., & Hewitt, J. K. (2003). Review of twin and adoption studies of adolescent substance use. Journal of the American Academy of Child and Adolescent Psychiatry, 42, 710–719.
Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32, 401–414.
Hutchison, K. E. (2010). Substance use disorders: Realizing the promise of pharmacogenomics and personalized medicine. Annual Review of Clinical Psychology, 6, 577–589.
Hutchison, K. E., Stallings, M., McGeary, J., & Bryan, A. (2004). Population stratification in the candidate gene study: Fatal threat or red herring? Psychological Bulletin, 130(1), 66–79.
Iacono, W. G., Malone, S. M., & McGue, M. (2008). Behavioral disinhibition and the development of early-onset addiction: Common and specific influences. Annual Review of Clinical Psychology, 4, 325–348.
Jones, K. A., Pojesz, B., Almasy, L., Bierut, L., Goate, A., Wang, J. C., et al. (2004). Linkage and linkage disequilibrium of evoked EEG oscillations with CHRM2 receptor gene polymorphisms: Implications for human brain dynamics and cognition. International Journal of Psychophysiology, 53, 75–90.
Kaufman, J. N., Ross, T. J., Stein, E. A., & Garavan, H. (2003). Cingulate hypoactivity in cocaine users during a GO-NOGO task as revealed by event-related functional magnetic resonance imaging. The Journal of Neuroscience, 23, 7839–7843.
Kendler, K. S., Karkowski, L. M., Neale, M. C., & Prescott, C. A. (2000). Illicit psychoactive substance use, heavy use, abuse, and dependence in a US population-based sample of male twins. Archives of General Psychiatry, 57, 261–269.
Kendler, K. S., Myers, J., Dick, D., & Prescott, C. A. (2010a). The relationship between genetic influences on alcohol dependence and on patterns of alcohol consumption. Alcoholism, Clinical and Experimental Research, 34, 1058–1065.
Kendler, K. S., Myers, J., & Prescott, C. A. (2007). Specificity of genetic and environmental risk factors for symptoms of cannabis, cocaine, alcohol, caffeine, and nicotine dependence. Archives of General Psychiatry, 64, 1313–1320.
Kendler, K. S., Gardner, C., & Dick, D. M. (2010b). Predicting alcohol consumption in adolescence from alcohol-specific to general externalizing genetic risk factors, key environmental exposures and their interaction. Psychological Medicine, 14, 1–10.
Krueger, R. F., Hicks, B. M., Patrick, C. J., Carlson, S. R., Iacono, W. G., & McGue, M. (2002). Etiologic connections among substance dependence, antisocial behavior, and personality: Modeling the externalizing spectrum. Journal of Abnormal Psychology, 111, 411–424.
Krueger, R. F., Markon, K. E., Patrick, C. J., Benning, S. D., & Kramer, M. D. (2007). Linking antisocial behavior, substance use, and personality: An integrative quantitative model of the adult externalizing spectrum. Journal of Abnormal Psychology, 116, 645–666.
Langmead, C. J., Watson, J., & Reavill, C. (2008). Muscarinic acetylcholine receptors as CNS drug targets. Pharmacology & Therapeutics, 117, 232–243.
Li, C. S., Huang, C., Yan, P., Bhagwagar, Z., Milivojevic, V., & Sinha, R. (2008). Neural correlates of impulse control during stop signal inhibition in cocaine-dependent men. Neuropsychopharmacology, 33, 1798–1806.
Lind, P. A., Luciano, M., Horan, M. A., Marioni, R. E., Wright, M. J., Bates, T. C., et al. (2009). No association between cholinergic muscarinic receptor 2 (CHRM2) genetic variation and cognitive abilities in three independent samples. Behavior Genetics, 39, 513–523.
Luo, X. G., Kranzler, H. R., Zuo, L. J., Wang, S., Blumberg, H. P., & Gelernter, J. (2005). CHRM2 gene predisposes to alcohol dependence, drug dependence and affective disorders: Results from an extended case-control structured association study. Human Molecular Genetics, 14, 2421–2434.
Madden, G. J., Petry, N. M., Badger, G. J., & Bickel, W. K. (1997). Impulsive and self- control choices in opioid-dependent patients and non-drug-using control participants: Drug and monetary rewards. Experimental and Clinical Psychopharmacology, 5, 256–262.
McGue, M., Elkins, I., & Iacono, W. G. (2000). Genetic and environmental influences on adolescent substance use and abuse. American Journal of Medical Genetics, 96, 671–677.
McMahon, R. J. (1994). Diagnosis, assessment, and treatment of externalizing problems in children: The role of longitudinal data. Journal of Consulting and Clinical Psychology, 62, 901–917.
Nigg, J. T., Wong, M. M., Martel, M. M., Jester, J. M., Puttler, L. I., Glass, J. M., et al. (2006). Poor response inhibition as a predictor of problem drinking and illicit drug use in adolescents at risk for alcoholism and other substance use disorders. Journal of the American Academy of Child and Adolescent Psychiatry, 45, 468–475.
Pagan, J. L., Rose, R. J., Viken, R. J., Pulkkinen, L., Kaprio, J., & Dick, D. M. (2006). Genetic and environmental influences on stages of alcohol use across adolescence and into young adulthood. Behavior Genetics, 36, 483–497.
Petry, N. M. (2001). Delay discounting of money and alcohol in actively using alcoholics, currently abstinent alcoholics, and controls. Psychopharmacology, 154, 243–250.
Prescott, C. A., & Kendler, K. S. (1999). Age at first drink and risk for alcoholism: A noncausal association. Alcoholism, Clinical and Experimental Research, 23, 101–107.
Ray, L. A., Bryan, A., MacKillop, J., McGeary, J., Hesterberg, K., & Hutchison, K. E. (2009). The dopamine D-4 receptor (DRD4) gene exon III polymorphism, problematic alcohol use and novelty seeking: Direct and mediated genetic effects. Addiction Biology, 14, 238–244.
Rhee, S. H., Hewitt, J. K., Young, S. E., Corley, R. P., Crowley, T. J., & Stallings, M. C. (2003). Genetic and environmental influences on substance initiation, use, and problem use in adolescents. Archives of General Psychiatry, 60, 1256–1264.
Rose, R. J. (1998). A developmental behavior-genetic perspective on alcoholism risk. Alcohol Health and Research World, 22, 131–143.
Sartor, C. E., Grant, J. D., Bucholz, K. K., Madden, P. A. F., Heath, A. C., Agrawal, A., et al. (2010). Common genetic contributions to alcohol and cannabis use and dependence symptomatology. Alcoholism, Clinical and Experimental Research, 34, 545–554.
Sobel, M. E., (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhardt (Ed.), Sociological Methodology 1982 (pp. 290–312). Washington DC: American Sociological Association.
Threlfell, S., Clements, M. A., Khodai, T., Pienaar, I. S., Exley, R., Wess, J., et al. (2010). Striatal muscarinic receptors promote activity dependence of dopamine transmission via distinct receptor subtypes on cholinergic interneurons in ventral versus dorsal striatum. The Journal of Neuroscience, 30, 3398–3408.
Volpicelli, L. A., & Levey, A. I. (2004) Muscarinic acetylcholine receptor subtypes in cerebral cortex and hippocampus. In: L. Descarries, K. Krnjevic, M. Steriade (Eds.), Acetylcholine in the Cerebral Cortex (pp. 59–66)
Wang, J. C., Hinrichs, A. L., Stock, H., Budde, J., Allen, R., Bertelsen, S., et al. (2004). Evidence of common and specific genetic effects: Association of the muscarinic acetylcholine receptor M2 (CHRM2) gene with alcohol dependence and major depressive syndrome. Human Molecular Genetics, 13, 1903–1911.
White, H. R., & Labouvie, E. W. (1989). Towards the assessment of adolescent problem drinking. Journal of Studies on Alcohol, 50, 30–37.
White, H. R., Labouvie, E. W., & Papadaratsakis, V. (2005). Changes in substance use during the transition to adulthood: A comparison of college students and their noncollege age peers. Journal of Drug Issues, 35, 281–305.
Woolf, N. J., & Butcher, L. L. (2010) Cholinergic systems mediate action from movement to higher consciousness. Behavioural Brain Research (Epub ahead of print)
Xian, H., Scherrer, J. F., Grant, J. D., Eisen, S. A., True, W. R., Jacob, T., et al. (2008). Genetic and environmental contributions to nicotine, alcohol and cannabis dependence in male twins. Addiction, 103, 1391–1398.
Young, S. E., Stallings, M. C., Corley, R. P., Krauter, K. S., & Hewitt, J. K. (2000). Genetic and environmental influences on behavioral disinhibition. American Journal of Medical Genetics, 96, 684–695.
Young, S. E., Rhee, S. H., Stallings, M. C., Corley, R. P., & Hewitt, J. K. (2006). Genetic and environmental vulnerabilities underlying adolescent substance use and problem use: General or specific? Behavior Genetics, 36, 603–615.
Young, S. E., Friedman, N. P., Miyake, A., Willcutt, E. G., Corley, R. P., Haberstick, B. C., et al. (2009). Behavioral disinhibition: Liability for externalizing spectrum disorders and its genetic and environmental relation to response inhibition across adolescence. Journal of Abnormal Psychology, 118, 117–130.
Acknowledgements
This research was supported by grants R01DA019139 from the National Institute on Drug Abuse and F32AA018629 from the National Institute on Alcohol Abuse and Alcoholism. The authors thank Marilee Morgan and the Neurogenetics Core Lab at the Mind Research Network for conducting genotyping. The authors have no conflicts of interest to declare.
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Hendershot, C.S., Bryan, A.D., Feldstein Ewing, S.W. et al. Preliminary Evidence for Associations of CHRM2 with Substance Use and Disinhibition in Adolescence. J Abnorm Child Psychol 39, 671–681 (2011). https://doi.org/10.1007/s10802-011-9511-9
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DOI: https://doi.org/10.1007/s10802-011-9511-9