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Genetic and Environmental Contributions to Risk for Disordered Gambling

  • Wendy S. Slutske
Chapter

Abstract

The literature on the behavioral genetics of disordered gambling is reviewed in this chapter. This includes studies that have focused on estimating the aggregate influence of genetic and environmental factors and studies that have focused on identifying the specific genes that account for the aggregate genetic risk. Topics also covered are disordered gambling comorbidity, developmentally relevant studies, identifying the specific environments that account for the aggregate environmental risk, and gene-environment interplay. The chapter is concluded with a summary of the general conclusions, areas in need of more research, and recommendations for the way forward.

Notes

Acknowledgement

Funding: Preparation of this chapter was funded in part by a Center of Excellence in Gambling Research grant from the National Center for Gaming Research.

References

  1. 1.
    Helzer JE, Kraemer HC, Krueger RF, Wittchen H, Sirovatka PJ, Regier DA. Dimensional approaches in diagnostic classification: refining the research agenda for DSM-V. Arlington, VA: American Psychiatric Association; 2008.Google Scholar
  2. 2.
    Shaffer HJ, Martin R. Disordered gambling: etiology, trajectory, and clinical considerations. Annu Rev Clin Psychol. 2011;7:483–510.CrossRefPubMedPubMedCentralGoogle Scholar
  3. 3.
    Black DW, Coryell WH, Crowe RR, McCormick B, Shaw MC, Allen J. A direct, controlled, blind family study of DSM-IV pathological gambling. J Clin Psychiatry. 2013;75(3):215–21.CrossRefGoogle Scholar
  4. 4.
    Black DW, Monahan PO, Temkit MH, Shaw M. A family study of pathological gambling. Psychiatry Res. 2006;141(3):295–303.CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-III-R (rev. ed. 3). Washington, DC: American Psychiatric Association; 1987.Google Scholar
  6. 6.
    Eisen SA, Lin N, Lyons MJ, Scherrer J, Griffith K, True WR, Goldberg J, Tsuang MT. Familial influences on gambling behavior: an analysis of 3,359 twin pairs. Addiction. 1998;93:1375–84.CrossRefPubMedPubMedCentralGoogle Scholar
  7. 7.
    Xian H, Scherrer JF, Slutske WS, Shah KR, Volberg R, Eisen SA. Genetic and environmental contributions to pathological gambling symptoms in a 10-year follow-up. Twin Res Hum Genet. 2007;10:174–9.CrossRefPubMedPubMedCentralGoogle Scholar
  8. 8.
    American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-IV (ed. 4). Washington, DC: American Psychiatric Association; 1994.Google Scholar
  9. 9.
    Slutske WS, Zhu G, Meier MH, Martin NG. Genetic and environmental influences on disordered gambling in men and women. Arch Gen Psychiatry. 2010;67:624–30.CrossRefPubMedPubMedCentralGoogle Scholar
  10. 10.
    Lesieur HR, Blume SB. The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers. Am J Psychiatr. 1987;144:1184–8.CrossRefPubMedPubMedCentralGoogle Scholar
  11. 11.
    Slutske WS, Zhu G, Meier MH, Martin NG. Disordered gambling as defined by the DSM-IV and the South Oaks Gambling Screen: evidence for a common etiologic structure. J Abnorm Psychol. 2011;120:743–51.CrossRefPubMedPubMedCentralGoogle Scholar
  12. 12.
    Blanco C, Myers J, Kendler KS. Gambling, disordered gambling and their association with major depression and substance use: a web-based cohort and twin-sibling study. Psychol Med. 2012;42(03):497–508.CrossRefPubMedPubMedCentralGoogle Scholar
  13. 13.
    Winters KC, Stinchfield RD, Fulkerson J. Toward the development of an adolescent gambling problem severity scale. J Gambl Stud. 1993;9:63–84.CrossRefGoogle Scholar
  14. 14.
    King SM, Keyes M, Winters KC, McGue M, Iacono WG. Genetic and environmental origins of gambling behaviors from ages 18 to 25: a longitudinal twin family study. Psychol Addict Behav. 2017;31:367.CrossRefPubMedPubMedCentralGoogle Scholar
  15. 15.
    Beaver KM, Hoffman T, Shields RT, Vaughn MG, DeLisi M, Wright JP. Gender differences in genetic and environmental influences on gambling: results from a sample of twins from the National Longitudinal Study of Adolescent Health. Addiction. 2010;105(3):536–42.CrossRefPubMedPubMedCentralGoogle Scholar
  16. 16.
    Richmond-Rakerd LS, Slutske WS, Heath AC, Martin NG. Genetic and environmental influences on the ages of drinking and gambling initiation: evidence for distinct aetiologies and sex differences. Addiction. 2014;109(2):323–31.CrossRefPubMedPubMedCentralGoogle Scholar
  17. 17.
    Slutske WS. Has the genetic contribution to the propensity to gamble increased? Evidence from national twin studies conducted in 1962 and 2002. Twin Res Hum Genet. 2018;21:119–25.CrossRefPubMedPubMedCentralGoogle Scholar
  18. 18.
    Slutske WS, Richmond-Rakerd LS. A closer look at the evidence for sex differences in the genetic and environmental influences on gambling in the National Longitudinal Study of Adolescent health: from disordered to ordered gambling. Addiction. 2014;109(1):120–7.CrossRefPubMedPubMedCentralGoogle Scholar
  19. 19.
    Slutske WS, Meier MH, Zhu G, Statham DJ, Blaszczynski A, Martin NG. The Australian twin study of gambling (OZ-GAM): rationale, sample description, predictors of participation, and a first look at sources of individual differences in gambling involvement. Twin Res Hum Genet. 2009;12:63–78.CrossRefPubMedPubMedCentralGoogle Scholar
  20. 20.
    Winters KC, Rich T. A twin study of adult gambling behavior. J Gambl Stud. 1998;14(3):213–25.CrossRefGoogle Scholar
  21. 21.
    Vitaro F, Hartl AC, Brendgen M, Laursen B, Dionne G, Boivin M. Genetic and environmental influences on gambling and substance use in early adolescence. Behav Genet. 2014;44:347–55.CrossRefPubMedPubMedCentralGoogle Scholar
  22. 22.
    Slutske WS, Cho SB, Piasecki TM, Martin NG. Genetic overlap between personality and risk for disordered gambling: evidence from a national community-based Australian twin study. J Abnorm Psychol. 2013;122:250–5.CrossRefPubMedPubMedCentralGoogle Scholar
  23. 23.
    Slutske WS, Ellingson JM, Richmond-Rakerd LS, Zhu G, Martin NG. Shared genetic vulnerability for disordered gambling and alcohol use disorder in men and women: evidence from a national community-based Australian Twin Study. Twin Res Hum Genet. 2013;16(02):525–34.CrossRefPubMedPubMedCentralGoogle Scholar
  24. 24.
    Slutske WS, Eisen SA, True WR, Lyons MJ, Goldberg J, Tsuang MT. Common genetic vulnerability for pathological gambling and alcohol dependence in men. Arch Gen Psychiatry. 2000;57:666–73.CrossRefPubMedPubMedCentralGoogle Scholar
  25. 25.
    Reich T, Cloninger CR, Guze SB. The multifactorial model of disease transmission: I. Description of the model and its use in psychiatry. Br J Psychiatry. 1975;127:1–10.CrossRefPubMedPubMedCentralGoogle Scholar
  26. 26.
    Kendler KS, Myers J, Potter J, Opalesky J. A web-based study of personality, psychopathology and substance use in twin, other relative and relationship pairs. Twin Res Hum Genet. 2009;12(02):137–41.CrossRefPubMedPubMedCentralGoogle Scholar
  27. 27.
    American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. ed 5 ed. Washington, D.C.: American Psychiatric Association; 2013.CrossRefGoogle Scholar
  28. 28.
    Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström test for nicotine dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict. 1991;86(9):1119–27.CrossRefPubMedPubMedCentralGoogle Scholar
  29. 29.
    Xian H, Giddens JL, Scherrer JF, Eisen SA, Potenza MN. Environmental factors selectively impact co-occurrence of problem/pathological gambling with specific drug-use disorders in male twins. Addiction. 2014;109(4):635–44.CrossRefPubMedPubMedCentralGoogle Scholar
  30. 30.
    Slutske WS, Eisen SA, Xian H, True WR, Lyons MJ, Goldberg J, Tsuang MT. A twin study of the association between pathological gambling and antisocial personality disorder. J Abnorm Psychol. 2001;110:297–308.CrossRefPubMedPubMedCentralGoogle Scholar
  31. 31.
    Potenza MN, Xian H, Shah K, Scherrer JF, Eisen SA. Shared genetic contributions to pathological gambling and major depression in men. Arch Gen Psychiatry. 2005;62:1015–21.CrossRefPubMedPubMedCentralGoogle Scholar
  32. 32.
    Scherrer JF, Xian H, Slutske WS, Eisen SA, Potenza MN. Associations between obsessivecompulsive classes and pathological gambling in a national cohort of male twins. JAMA Psychiatry. 2015;72(4):342–9.CrossRefGoogle Scholar
  33. 33.
    Giddens JL, Xian H, Scherrer JF, Eisen SA, Potenza MN. Shared genetic contributions to anxiety disorders and pathological gambling in a male population. J Affect Disord. 2011;132(3):406–12.CrossRefPubMedPubMedCentralGoogle Scholar
  34. 34.
    Turkheimer E. Three laws of behavior genetics and what they mean. Curr Dir Psychol Sci. 2000;9(5):160–4.CrossRefGoogle Scholar
  35. 35.
    Petry NM, Stinson FS, Grant BF. Comorbidity of DSM-IV pathological gambling and other psychiatric disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions. J Clin Psychiatry. 2005;66:564–74.CrossRefPubMedPubMedCentralGoogle Scholar
  36. 36.
    Oleski J, Cox BJ, Clara I, Hills A. Pathological gambling and the structure of common mental disorders. J Nerv Ment Dis. 2011;199(12):956–60.CrossRefPubMedPubMedCentralGoogle Scholar
  37. 37.
    Plomin R, DeFries JC, Knopik VS, Neiderhiser JM. Top 10 replicated findings from behavioral genetics. Perspect Psychol Sci. 2016;11(1):3–23.CrossRefPubMedPubMedCentralGoogle Scholar
  38. 38.
    Kendler KS, Prescott CA, Myers J, Neale MC. The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Arch Gen Psychiatry. 2003;60(9):929–37.CrossRefPubMedPubMedCentralGoogle Scholar
  39. 39.
    Nivard MG, Verweij KJH, Minică CC, Treur JL, Derks EM, Stringer S, et al. Connecting the dots, genome-wide association studies in substance use. Mol Psychiatry. 2016;21:733–5.CrossRefPubMedPubMedCentralGoogle Scholar
  40. 40.
    Lang M, Leménager T, Streit F, Fauth-Bühler M, Frank J, Juraeva D, et al. Genome-wide association study of pathological gambling. Eur Psychiatry. 2016;36:38–46.CrossRefPubMedPubMedCentralGoogle Scholar
  41. 41.
    Gyollai Á, D Griffiths M, Barta C, Vereczkei A, Urbán R, Kun B, et al. The genetics of problem and pathological gambling: a systematic review. Curr Pharm Des. 2014;20(25):3993–9.CrossRefPubMedPubMedCentralGoogle Scholar
  42. 42.
    Lobo DS. Genetic aspects of gambling disorders: recent developments and future directions. Curr Behav Neurosci Rep. 2016;3(1):58–66.CrossRefGoogle Scholar
  43. 43.
    Gray JC, MacKillop J. Genetic basis of delay discounting in frequent gamblers: examination of a priori candidates and exploration of a panel of dopamine-related loci. Brain Behav. 2014;4(6):812–21.CrossRefPubMedPubMedCentralGoogle Scholar
  44. 44.
    Comings DE, Gade R, Wu S, Chiu C, Dietz G, Muhleman D, Saucier G, Ferry L, Rosenthal RJ, Lesieur HR, Rugle LJ, MacMurray P. Studies of the potential role of the dopamine D1 receptor gene in addictive behaviors. Mol Psychiatry. 1997;2:44–56.CrossRefPubMedPubMedCentralGoogle Scholar
  45. 45.
    Lim S, Ha J, Choi S, et al. Association study on pathological gambling and polymorphisms of dopamine D1, D2, D3, and D4 receptor genes in a Korean population. J Gambl Stud. 2012;28:481–91.CrossRefPubMedPubMedCentralGoogle Scholar
  46. 46.
    Lobo DSS, Souza RP, Tong RP, et al. Association of functional variants in the dopamine D2-like receptors with risk for gambling behaviour in healthy Caucasian subjects. Biol Psychol. 2010;85:33–7.CrossRefPubMedPubMedCentralGoogle Scholar
  47. 47.
    Lobo DSS, Vallada HP, Knight J, Martins SS, Tavares H, Gentil V, Kennedy JL. Dopamine genes and pathological gambling in discordant sib-pairs. J Gambl Stud. 2007;23:421–33.CrossRefGoogle Scholar
  48. 48.
    Comings DE, Rosenthal RJ, Lesieur HR, Rugle LJ, Muhleman D, Chiu C, Dietz G, Gade R. A study of the dopamine D2 receptor gene in pathological gambling. Pharmacogenetics. 1996;6:223–34.CrossRefGoogle Scholar
  49. 49.
    Lobo DS, Aleksandrova L, Knight J, Casey DM, El-Guebaly N, Nobrega JN, Kennedy JL. Addiction-related genes in gambling disorders: new insights from parallel human and pre-clinical models. Mol Psychiatry. 2015;20(8):1002–10.CrossRefPubMedPubMedCentralGoogle Scholar
  50. 50.
    Perez de Castro I, Ibanez A, Torres P, Saiz-Ruiz J, Fernandez-Piqueras J. Genetic association study between pathological gambling and a functional DNA polymorphism at the D4 receptor gene. Pharmacogenetics. 1997;7:345–8.PubMedPubMedCentralGoogle Scholar
  51. 51.
    Grant JE, Leppink EW, Redden SA, Odlaug BL, Chamberlain SR. COMT genotype, gambling activity, and cognition. J Psychiatr Res. 2015;68:371–6.CrossRefPubMedPubMedCentralGoogle Scholar
  52. 52.
    Guillot CR, Fanning JR, Liang T, Berman ME. COMT associations with disordered gambling and drinking measures. J Gambl Stud. 2015;31(2):513–24.CrossRefPubMedPubMedCentralGoogle Scholar
  53. 53.
    Ibanez A, de Castro IP, Fernandez-Piqueras J, Blanco C, Saiz-Ruiz J. Pathological gambling and DNA polymorphic markers at MAO-A and MAO-B genes. Mol Psychiatry. 2000;5:105–9.CrossRefPubMedPubMedCentralGoogle Scholar
  54. 54.
    Perez de Castro I, Ibanez A, Saiz-Ruiz J, Fernandez-Piqueras J. Concurrent positive association between pathological gambling and functional DNA polymorphisms at the MAO-A and the 5-HT transporter genes. Mol Psychiatry. 2002;7:927–8.CrossRefPubMedPubMedCentralGoogle Scholar
  55. 55.
    Wilson D, da Silva Lobo DS, Tavares H, Gentil V, Vallada H. Family-based association analysis of serotonin genes in pathological gambling disorder: evidence of vulnerability risk in the 5HT-2A receptor gene. J Mol Neurosci. 2013;49(3):550–3.CrossRefPubMedPubMedCentralGoogle Scholar
  56. 56.
    Perez de Castro I, Ibanez A, Saiz-Ruiz J, Fernandez-Piqueras J. Genetic contribution to pathological gambling: possible association between a functional DNA polymorphism at the serotonin transporter gene (5-HTT) and affected men. Pharmacogenetics. 1999;9:397-400.PubMedPubMedCentralGoogle Scholar
  57. 57.
    Comings DE, Gade-Andavolu R, Gonzalez N, et al. The additive effect of neurotransmitter genes in pathological gambling. Clin Genet. 2001;60:107–16.CrossRefGoogle Scholar
  58. 58.
    Belsky DW, Moffitt TE, Baker TB, Biddle AK, Evans JP, Harrington H, et al. Polygenic risk and the developmental progression to heavy, persistent smoking and nicotine dependence: evidence from a 4-decade longitudinal study. JAMA Psychiat. 2013;70(5):534–42.CrossRefGoogle Scholar
  59. 59.
    Wray NR, Lee SH, Mehta D, Vinkhuyzen AA, Dudbridge F, Middeldorp CM. Research review: polygenic methods and their application to psychiatric traits. J Child Psychol Psychiatry. 2014;55(10):1068–87. PMID: 25132410 CrossRefPubMedPubMedCentralGoogle Scholar
  60. 60.
    Lind PA, Zhu G, Montgomery GW, Madden PA, Heath AC, Martin NG, Slutske WS. Genome-wide association study of a quantitative disordered gambling trait. Addict Biol. 2013;18(3):511–22.CrossRefPubMedPubMedCentralGoogle Scholar
  61. 61.
    Li CY, Mao X, Wei L. Genes and (common) pathways underlying drug addiction. PLoS Comput Biol. 2008;4:e2.CrossRefPubMedPubMedCentralGoogle Scholar
  62. 62.
    Hyman SE. Addiction: a disease of learning and memory. Am J Psychiatr. 2005;162:1414–22.CrossRefPubMedPubMedCentralGoogle Scholar
  63. 63.
    Nestler EJ. Is there a common molecular pathway for addiction? Nat Neurosci. 2005;8:1445–9.CrossRefPubMedPubMedCentralGoogle Scholar
  64. 64.
    Kalkhoven C, Sennef C, Peeters A, Van Den Bos R. Risk-taking and pathological gambling behavior in Huntington’s disease. Front Behav Neurosci. 2014;8:103.CrossRefPubMedPubMedCentralGoogle Scholar
  65. 65.
    Dubertret C, Gorwood P, Ades J, Feingold J, Schwartz JC, Sokoloff P. Meta-analysis of DRD3 gene and schizophrenia: ethnic heterogeneity and significant association in caucasians. Am J Med Genet. 1998;81(4):318–22.CrossRefPubMedPubMedCentralGoogle Scholar
  66. 66.
    Flint J, Munafò M. Schizophrenia: genesis of a complex disease. Nature. 2014;511(7510):412–3.CrossRefPubMedPubMedCentralGoogle Scholar
  67. 67.
    Kendler KS, O’Donovan MC. A breakthrough in schizophrenia genetics. JAMA Psychiat. 2014;71(12):1319–20.CrossRefGoogle Scholar
  68. 68.
    Ripke S, Neale BM, Corvin A, Walters JT, Farh KH, Holmans PA, et al. Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014;511(7510):421.CrossRefPubMedPubMedCentralGoogle Scholar
  69. 69.
    Weintraub D, Koester J, Potenza MN, et al. Impulse control disorders in Parkinson disease: a cross-sectional study of 3090 patients. Arch Neurol. 2010;67:589–95.CrossRefPubMedPubMedCentralGoogle Scholar
  70. 70.
    Tippmann-Peikert M, Park JG, Boeve BF, Shepard JW, Silber MH. Pathologic gambling in patients with restless legs syndrome treated with dopaminergic agonists. Neurology. 2007;68:301–3.CrossRefPubMedPubMedCentralGoogle Scholar
  71. 71.
    Dodd ML, Klos KJ, Bower JH, Geda YE, Josephs KA, Ahlskog JE. Pathological gambling caused by drugs used to treat Parkinson disease. Arch Neurol. 2005;62:1377–81.CrossRefGoogle Scholar
  72. 72.
    Johnson PS, Madden GJ, Brewer AT, et al. Effects of acute pramipexole on preference for gambling-like schedules of reinforcement in rats. Psychopharmacology. 2011;213:11–8.CrossRefPubMedPubMedCentralGoogle Scholar
  73. 73.
    Eisenegger C, Knoch D, Ebstein RP, et al. Dopamine receptor D4 polymorphism predicts the effect of L-DOPA on gambling behavior. Biol Psychiatry. 2010;67:702–6.CrossRefPubMedPubMedCentralGoogle Scholar
  74. 74.
    Gottesman II, Gould TD. The endophenotype concept in psychiatry: etymology and strategic intentions. Am J Psychiatr. 2003;160:636–45.CrossRefPubMedPubMedCentralGoogle Scholar
  75. 75.
    MacKillop J, Munafò MR. Genetic influences on addiction: an intermediate phenotype approach. Cambridge, MA: MIT Press; 2013.CrossRefGoogle Scholar
  76. 76.
    Clark L. Decision-making during gambling: an integration of cognitive and psychobiological approaches. Philos Trans R Soc B. 2010;365:319–30.CrossRefGoogle Scholar
  77. 77.
    Potenza MN. The neurobiology of pathological gambling and drug addiction: an overview and new findings. Philos Trans R Soc B. 2008;363:3181–9.CrossRefGoogle Scholar
  78. 78.
    Cuthbert BN, Insel TR. Toward the future of psychiatric diagnosis: the seven pillars of RDoC. BMC Med. 2013;11(1):1.CrossRefGoogle Scholar
  79. 79.
    Robbins TW, Gillan CM, Smith DG, de Wit S, Ersche KD. Neurocognitive endophenotypes of impulsivity and compulsivity: towards dimensional psychiatry. Trends Cogn Sci. 2012;16(1):81–91.CrossRefPubMedPubMedCentralGoogle Scholar
  80. 80.
    Hall MH, Smoller JW. A new role for endophenotypes in the GWAS era: functional characterization of risk variants. Harv Rev Psychiatry. 2010;18(1):67–74.CrossRefPubMedPubMedCentralGoogle Scholar
  81. 81.
    Kendler KS, Schmitt E, Aggen SH, Prescott CA. Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood. Arch Gen Psychiatry. 2008;65(6):674–82.CrossRefPubMedPubMedCentralGoogle Scholar
  82. 82.
    Rhee SH, Hewitt JK, Young SE, Corley RP, Crowley TJ, Stallings MC. Genetic and environmental influences on substance initiation, use, and problem use in adolescents. Arch Gen Psychiatry. 2003;60(12):1256–64.CrossRefPubMedPubMedCentralGoogle Scholar
  83. 83.
    Heath AC, Martin NG, Lynskey MT, Todorov AA, Madden PA. Estimating two-stage models for genetic influences on alcohol, tobacco or drug use initiation and dependence vulnerability in twin and family data. Twin Res. 2002;5(02):113–24.CrossRefPubMedPubMedCentralGoogle Scholar
  84. 84.
    Maes HH, Sullivan PF, Bulik CM, Neale MC, Prescott CA, Eaves LJ, Kendler KS. A twin study of genetic and environmental influences on tobacco initiation, regular tobacco use and nicotine dependence. Psychol Med. 2004;34(07):1251–61.CrossRefPubMedPubMedCentralGoogle Scholar
  85. 85.
    Fowler T, Lifford K, Shelton K, Rice F, Thapar A, Neale MC, et al. Exploring the relationship between genetic and environmental influences on initiation and progression of substance use. Addiction. 2007;102(3):413–22.CrossRefPubMedPubMedCentralGoogle Scholar
  86. 86.
    Agrawal A, Neale MC, Jacobson KC, Prescott CA, Kendler KS. Illicit drug use and abuse/dependence: modeling of two-stage variables using the CCC approach. Addict Behav. 2005;30(5):1043–8.CrossRefPubMedPubMedCentralGoogle Scholar
  87. 87.
    Wade TD, Bulik CM, Sullivan PF, Neale MC, Kendler KS. The relation between risk factors for binge eating and bulimia nervosa: a population-based female twin study. Health Psychol. 2000;19(2):115.CrossRefPubMedPubMedCentralGoogle Scholar
  88. 88.
    Williams RJ, Volberg RA Stevens RMG. The population prevalence of problem gambling: methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Report prepared for the Ontario Problem Gambling Research Centre and the Ontario Ministry of Health and Long Term Care. 8 May 2012. http://hdl.handle.net/10133/3068.
  89. 89.
    Gerstein D, Murphy S, Toce M, Hoffmann J, Palmer A, Johnson R, et al. Gambling impact and behavior study: report to the National Gambling Impact Study Commission. Chicago: National Opinion Research Center; 1999.Google Scholar
  90. 90.
    Afifi TO, Brownridge DA, MacMillan H, Sareen J. The relationship of gambling to intimate partner violence and child maltreatment in a nationally representative sample. J Psychiatr Res. 2010;44(5):331–7.CrossRefPubMedPubMedCentralGoogle Scholar
  91. 91.
    Black DW, Shaw MC, McCormick BA, Allen J. Marital status, childhood maltreatment, and family dysfunction: a controlled study of pathological gambling. J Clin Psychiatry. 2012;73(10):1293–7.CrossRefPubMedPubMedCentralGoogle Scholar
  92. 92.
    Hodgins DC, Schopflocher DP, el-Guebaly N, Casey DM, Smith GJ, Williams RJ, Wood RT. The association between childhood maltreatment and gambling problems in a community sample of adult men and women. Psychol Addict Behav. 2010;24(3):548.CrossRefPubMedPubMedCentralGoogle Scholar
  93. 93.
    Petry NM, Steinberg KL. Childhood maltreatment in male and female treatment-seeking pathological gamblers. Psychol Addict Behav. 2005;19(2):226.CrossRefPubMedPubMedCentralGoogle Scholar
  94. 94.
    Scherrer JF, Xian H, Kapp JMK, Waterman B, Shah KR, Volberg R, Eisen SA. Association between exposure to childhood and lifetime traumatic events and lifetime pathological gambling in a twin cohort. J Nerv Ment Dis. 2007;195:72–8.Google Scholar
  95. 95.
    Blanco C, Hanania J, Petry NM, Wall MM, Wang S, Jin CJ, Kendler KS. Towards a comprehensive developmental model of pathological gambling. Addiction. 2015;110(8):1340–51.CrossRefPubMedPubMedCentralGoogle Scholar
  96. 96.
    Welte JW, Wieczorek WF, Barnes GM, Tidwell MCO. Multiple risk factors for frequent and problem gambling: individual, social, and ecological. J Appl Soc Psychol. 2006;36(6):1548–68.CrossRefGoogle Scholar
  97. 97.
    Barnes GM, Welte JW, Tidwell MO, Hoffman JH. Effects of neighborhood disadvantage on problem gambling and alcohol abuse. J Behav Addict. 2013;2:82–9.CrossRefPubMedPubMedCentralGoogle Scholar
  98. 98.
    Martins SS, Storr CL, Lee GP, Ialongo NS. Environmental influences associated with gambling in young adulthood. J Urban Health. 2013;90:130–40.CrossRefPubMedPubMedCentralGoogle Scholar
  99. 99.
    Pearce J, Mason K, Hiscock R, Day P. A national study of neighborhood access to gambling opportunities and individual gambling behavior. J Epidemiol Community Health. 2008;62:862–8.CrossRefPubMedPubMedCentralGoogle Scholar
  100. 100.
    Welte JW, Wieczorek WF, Barnes GM, Tidwell MC, Hoffman JH. The relationship of ecological and geographic factors to gambling behavior and pathology. J Gambl Stud. 2004;20(4):405–23.CrossRefPubMedPubMedCentralGoogle Scholar
  101. 101.
    Slutske WS, Deutsch AR, Statham DJ, Martin NG. Local area disadvantage and gambling involvement and disorder: evidence for gene-environment correlation and interaction. J Abnorm Psychol. 2015;124:606–22.CrossRefPubMedPubMedCentralGoogle Scholar
  102. 102.
    Gupta R, Derevensky J. Familial and social influences on juvenile gambling behavior. J Gambl Stud. 1997;13(3):179–92.CrossRefPubMedPubMedCentralGoogle Scholar
  103. 103.
    Oei TP, Raylu N. Familial influence on offspring gambling: a cognitive mechanism for transmission of gambling behavior in families. Psychol Med. 2004;34(07):1279–88.CrossRefPubMedPubMedCentralGoogle Scholar
  104. 104.
    Slutske WS, Piasecki TM, Ellingson JM, Martin NG. The family history method in disordered gambling research: a comparison of reports from discordant twin pairs. Twin Res Hum Genet. 2010;13:340–6.CrossRefPubMedPubMedCentralGoogle Scholar
  105. 105.
    Fortune EE, MacKillop J, Miller JD, Campbell WK, Clifton AD, Goodie AS. Social density of gambling and its association with gambling problems: an initial investigation. J Gambl Stud. 2013;29(2):329–42.CrossRefPubMedPubMedCentralGoogle Scholar
  106. 106.
    Meisel MK, Clifton AD, MacKillop J, Miller JD, Campbell WK, Goodie AS. Egocentric social network analysis of pathological gambling. Addiction. 2013;108(3):584–91.CrossRefPubMedPubMedCentralGoogle Scholar
  107. 107.
    Lynch WJ, Maciejewski PK, Potenza MN. Psychiatric correlates of gambling in adolescents and young adults grouped by age at gambling onset. Arch Gen Psychiatry. 2004;61(11):1116–22.CrossRefPubMedPubMedCentralGoogle Scholar
  108. 108.
    Kessler RC, Hwang I, LaBrie R, Petukhova M, Sampson NA, Winters KC, et al. DSM-IV pathological gambling in the National Comorbidity Survey Replication. Psychol Med. 2008;38:1351–60.PubMedPubMedCentralGoogle Scholar
  109. 109.
    Slutske WS, Deutsch AR, Richmond-Rakerd LS, Chernyavskiy P, Statham DJ, Martin NG. Test of a potential causal influence of earlier age of gambling initiation on gambling involvement and disorder: a multilevel discordant twin design. Psychol Addict Behav. 2014;28(4):1177.CrossRefPubMedPubMedCentralGoogle Scholar
  110. 110.
    Derevensky J, Sklar A, Gupta R, Messerlian C. An empirical study examining the impact of gambling advertisements on adolescent gambling attitudes and behaviors. Int J Ment Heal Addict. 2010;8(1):21–34.CrossRefGoogle Scholar
  111. 111.
    Planzer S, Gray HM, Shaffer HJ. Associations between national gambling policies and disordered gambling prevalence rates within Europe. Int J Law Psychiatry. 2014;37(2):217–29.CrossRefPubMedPubMedCentralGoogle Scholar
  112. 112.
    Storer J, Abbott M, Stubbs J. Access or adaptation? A meta-analysis of surveys of problem gambling prevalence in Australia and New Zealand with respect to concentration of electronic gaming machines. Int Gambl Stud. 2009;9(3):225–44.CrossRefGoogle Scholar
  113. 113.
    Welte JW, Tidwell MCO, Barnes GM, Hoffman JH, Wieczorek WF. The relationship between the number of types of legal gambling and the rates of gambling behaviors and problems across US states. J Gambl Stud. 2016;32(2):379–90.CrossRefPubMedPubMedCentralGoogle Scholar
  114. 114.
    Teicher MH, Samson JA. Childhood maltreatment and psychopathology: a case for ecophenotypic variants as clinically and neurobiologically distinct subtypes. Am J Psychiatr. 2013;170(10):1114–33.CrossRefPubMedPubMedCentralGoogle Scholar
  115. 115.
    Lane W, Sacco P, Downton K, Ludeman E, Levy L, Tracy JK. Child maltreatment and problem gambling: a systematic review. Child Abuse Negl. 2016;58:24–38.CrossRefPubMedPubMedCentralGoogle Scholar
  116. 116.
    Wilber MK, Potenza MN. Adolescent gambling: research and clinical implications. Psychiatry. 2006;3(10):40.PubMedPubMedCentralGoogle Scholar
  117. 117.
    Marioni RE, Davies G, Hayward C, Liewald D, Kerr SM, Campbell A, et al. Molecular genetic contributions to socioeconomic status and intelligence. Intelligence. 2014;44:26–32.CrossRefPubMedPubMedCentralGoogle Scholar
  118. 118.
    Sariaslan A, Fazel S, D’onofrio BM, Långström N, Larsson H, Bergen SE, et al. Schizophrenia and subsequent neighborhood deprivation: revisiting the social drift hypothesis using population, twin and molecular genetic data. Transl Psychiatry. 2016;6:e796.Google Scholar
  119. 119.
    Kendler KS, Baker JH. Genetic influences on measures of the environment: a systematic review. Psychol Med. 2007;37:615–26.CrossRefPubMedPubMedCentralGoogle Scholar
  120. 120.
    Moffitt TE. Genetic and environmental influences on antisocial behaviors: evidence from behavioral–genetic research. Adv Genet. 2005;55:41–104.CrossRefPubMedPubMedCentralGoogle Scholar
  121. 121.
    Rutter M. Genes and behavior: nature-nurture interplay explained. Malden, MA: Blackwell Publishing; 2006.Google Scholar
  122. 122.
    Scarr S, McCartney K. How people make their own Environments: a theory of genotype → environment effects. Child Dev. 1983;54:424–35.PubMedPubMedCentralGoogle Scholar
  123. 123.
    Dick DM. Gene-environment interactions in psychological traits and disorders. Annu Rev Clin Psychol. 2011;7:383–409.CrossRefPubMedPubMedCentralGoogle Scholar
  124. 124.
    Manuck SB, McCaffery JM. Gene-environment interaction. Annu Rev Psychol. 2014;65:41–70.CrossRefPubMedPubMedCentralGoogle Scholar
  125. 125.
    Shanahan MJ, Hofer SM. Social context in gene-environment interactions: retrospect and prospect. J Gerontol B Psychol Sci Soc Sci. 2005;60B:65–76.CrossRefGoogle Scholar
  126. 126.
    Moffitt TE, Caspi A, Rutter M. Strategy for investigating interactions between measured genes and measured environments. Arch Gen Psychiatry. 2005;62(5):473–81.CrossRefPubMedPubMedCentralGoogle Scholar
  127. 127.
    Dick DM, Rose RJ, Viken RJ, Kaprio J, Koskenvuo M. Exploring gene-environment interactions: socioregional moderation of alcohol use. J Abnorm Psychol. 2001;110:625–32.CrossRefPubMedPubMedCentralGoogle Scholar
  128. 128.
    Caspi A, McClay J, Moffitt TE, Mill J, Martin J, Craig IW, et al. Role of genotype in the cycle of violence in maltreated children. Science. 2002;297(5582):851–4.CrossRefPubMedPubMedCentralGoogle Scholar
  129. 129.
    Meyers J, Cerdá M, Galea S, Keyes K, Aiello AE, Uddin M, Wildman D, Koenen K. Interaction between polygenic risk for cigarette use and environmental exposures in the Detroit neighborhood health study. Transl Psychiatry. 2013;3(8):e290.CrossRefPubMedPubMedCentralGoogle Scholar
  130. 130.
    Marshall DC, Baker RGV. The evolving market structures of gambling: case studies modelling the socioeconomic assignment of gaming machines in Melbourne and Sydney. Aust J Gambl Stud. 2002;18:273–91.CrossRefGoogle Scholar
  131. 131.
    Wardle H, Keily R, Astbury G, Reith G. ‘Risky places?’: mapping gambling machine density and socio-economic deprivation. J Gambl Stud. 2014;30:201–12.CrossRefPubMedPubMedCentralGoogle Scholar
  132. 132.
    Wilson DH, Derevensky J, Gilliland J, Gupta R, Ross NA. Video lottery terminal access and gambling among high school students in Montreal. Can J Public Health. 2006;97:202–6.PubMedPubMedCentralGoogle Scholar
  133. 133.
    Psychiatric GWAS Consortium Steering Committee. Mol Psychiatry. 2009;14:10–7.CrossRefGoogle Scholar
  134. 134.
    Sullivan PF. The psychiatric GWAS consortium: big science comes to psychiatry. Neuron. 2010;68(2):182–6.CrossRefPubMedPubMedCentralGoogle Scholar
  135. 135.
    Shaffer HJ, LaBrie RA, LaPlante DA, Nelson SE, Stanton MV. The road less travelled: moving from distribution to determinants in the study of gambling epidemiology. Can J Psychiatry. 2004;49(8):504–16.CrossRefPubMedPubMedCentralGoogle Scholar
  136. 136.
    Thompson PM, Stein JL, Medland SE, Hibar DP, Vasquez AA, Renteria ME, et al. The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging Behav. 2014;8(2):153–82.PubMedPubMedCentralGoogle Scholar
  137. 137.
    Ersche KD, Jones PS, Williams GB, Turton AJ, Robbins TW, Bullmore ET. Abnormal brain structure implicated in stimulant drug addiction. Science. 2012;335(6068):601–4.CrossRefPubMedPubMedCentralGoogle Scholar
  138. 138.
    Kraemer HC, Noda A, O’Hara R. Categorical versus dimensional approaches to diagnosis: methodological challenges. J Psychiatr Res. 2004;38(1):17–25.CrossRefPubMedPubMedCentralGoogle Scholar
  139. 139.
    Strong DR, Kahler CW. Evaluation of the continuum of gambling problems using the DSM-IV. Addiction. 2007;102(5):713–21.CrossRefPubMedPubMedCentralGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Psychological SciencesUniversity of MissouriColumbiaUSA

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