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Exploring how Family and Neighborhood Stressors Influence Genetic Risk for Adolescent Conduct Problems and Alcohol Use

  • Cristina B. BaresEmail author
  • Karen G. Chartier
  • Katherine J. Karriker-Jaffe
  • Fazil Aliev
  • Brian Mustanski
  • Danielle Dick
Empirical Research

Abstract

Previous research suggests that genetic risk factors may predispose to conduct problems and alcohol use in adolescence. Whether genetic risk factors interact with social contexts has not been well characterized among African American adolescents. Data came from a subsample of the Genes, Environment, and Neighborhood Initiative study comprising 501 African American adolescents, including 151 lifetime drinkers (56% female, mean age = 16.3, SD = 1.4). Genetic risk was assessed with polygenic risk scores for alcohol dependence. Analyses explored interactions between genetic risk and self-reported alcohol use, conduct problems, life stressors, and other covariates. The effects of two gene–environment interactions (G × E) were tested in the sample of alcohol exposed adolescents; one on conduct problems and the other on alcohol use. There were significant associations between polygenic risk for alcohol dependence and conduct problems. A significant G × E interaction showed the impact of genetic risk on conduct problems was stronger under conditions of high exposure to family and neighborhood stressors. Among this sample of African American adolescents, genetic risk for alcohol dependence was not directly associated with alcohol use but was related to more conduct problems. Further, the effect of genetic risk interacted with stressors from the family and neighborhood, so that the effect of genetic risk on conduct problems was stronger for individuals who reported greater stressors.

Keywords

Conduct problems Alcohol use Genetic risk Exposure to stressors Adolescents 

Notes

Authors’ Ccontributions

All individuals who have made a significant contribution to the work are listed as co-authors; B.M. and D.D. participated in the coordination of the data collection; F.A. conducted the creation of the polygenic risk scores; C.B.B., K.G.C. and K.J.K.-J. participated in the statistical analyses, interpretation of the data analysis and wrote the drafts of the manuscript. All authors have approved the final version of this manuscript.

Funding

The research reported in this publication was supported by the National Institute on Drug Abuse (NIDA) and the National Institute on Alcohol Abuse and Alcoholism (NIAAA) of the National Institutes of Health under award numbers K01DA036681 (C.B.B.), K01AA021145 (K.G.C.), R01DA025039 (B.M.), K02AA018755 (D.D.), and R01AA023534 (Kendler with subcontract to K.J.K.-J.). The content is the sole responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. NIDA and NIAAA had no role in the study design; collection, analysis or interpretation of the data; writing the manuscript; or the decision to submit the manuscript for publication.

Data Sharing and Declaration

The dataset analyzed during the current study are not publicly available but are available on reasonable request by contacting D.D. and B.M.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committees and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

References

  1. Achenbach, T. M., & Edelbrock, C. S. (1991). Youth Self-report and Profile: University of Vermont, Department of Psychiatry.Google Scholar
  2. Attar, B. K., Guerra, N. G., & Tolan, P. H. (1994). Neighborhood disadvantage, stressful life events and adjustments in urban elementary-school children. Journal of Clinical Child Psychology, 23(4), 391–400.Google Scholar
  3. Belsky, J., & Pluess, M. (2009). Beyond diathesis stress: differential susceptibility to environmental influences. Psychological Bulletin, 135(6), 885.Google Scholar
  4. Belsky, J., & van Ijzendoorn, M. H. (2017). Genetic differential susceptibility to the effects of parenting. Current Opinion in Psychology, 15, 125–130.  https://doi.org/10.1016/j.copsyc.2017.02.021.Google Scholar
  5. Bertoletti, E., Michelini, G., Moruzzi, S., Ferrer, G., Ferini-Strambi, L., Stazi, M. A., & Battaglia, M. (2014). A general population twin study of conduct problems and the auditory P300 waveform. Journal of Abnormal Child Psychology, 42(5), 861–869.Google Scholar
  6. Beyers, J. M., Bates, J. E., Pettit, G. S., & Dodge, K. A. (2003). Neighborhood structure, parenting processes, and the development of youths’ externalizing behaviors: a multilevel analysis. American Journal of Community Psychology, 31(1–2), 35–53.Google Scholar
  7. Boe, T., Serlachius, A. S., Sivertsen, B., Petrie, K. J., & Hysing, M. (2018). Cumulative effects of negative life events and family stress on children’s mental health: the Bergen Child Study. Social Psychiatry and Psychiatric Epidemiology, 53(1), 1–9.  https://doi.org/10.1007/s00127-017-1451-4.Google Scholar
  8. Bolland, J. M. (2003). Hopelessness and risk behaviour among adolescents living in high-poverty inner-city neighbourhoods. Journal of Adolescence, 26(2), 145–158.Google Scholar
  9. Bolland, J. M., Bryant, C. M., Lian, B. E., McCallum, D. M., Vazsonyi, A. T., & Barth, J. M. (2007). Development and risk behavior among African American, Caucasian, and mixed-race adolescents living in high poverty inner-city neighborhoods. American Journal of Community Psychology, 40(3–4), 230–249.Google Scholar
  10. Bountress, K., Chassin, L., & Lemery-Chalfant, K. (2017). Parent and peer influences on emerging adult substance use disorder: a genetically informed study. Development and Psychopathology, 29(1), 121–142.Google Scholar
  11. Brent, D., Melhem, N., Donohoe, M. B., & Walker, M. (2009). The incidence and course of depression in bereaved youth 21 months after the loss of a parent to suicide, accident, or sudden natural death. American Journal of Psychiatry, 166(7), 786–794.Google Scholar
  12. Brody, G. H., Yu, T., & Beach, S. R. (2015). A differential susceptibility analysis reveals the “who and how” about adolescents’ responses to preventive interventions: tests of first-and second-generation Gene× Intervention hypotheses. Development and Psychopathology, 27(1), 37–49.Google Scholar
  13. Bronfenbrenner, U. (1986). Ecology of the family as a context for human development: research perspectives. Developmental Psychology, 22(6), 723.Google Scholar
  14. Busacker, A., & Kasehagen, L. (2012). Association of residential mobility with child health: an analysis of the 2007 National Survey of Children’s Health. Maternal and Child Health Journal, 16(Suppl 1), S78–S87.  https://doi.org/10.1007/s10995-012-0997-8.Google Scholar
  15. Button, T. M., Corley, R. P., Rhee, S. H., Hewitt, J. K., Young, S. E., & Stallings, M. C. (2007). Delinquent peer affiliation and conduct problems: a twin study. Journal of Abnormal Psychology, 116(3), 554–564.  https://doi.org/10.1037/0021-843x.116.3.554.Google Scholar
  16. Byck, G. R., Bolland, J. M., Dick, D. M., Swann, G., Henry, D., & Mustanski, B. (2015). Effect of housing relocation and neighborhood environment on adolescent mental and behavioral health. Journal of Child Psychology and Psychiatry, 56(11), 1185–1193.  https://doi.org/10.1111/jcpp.12386.Google Scholar
  17. Caldwell, C. H., Assari, S., & Breland-Noble, A. M. (2016). The epidemiology of mental disorders in African American children and adolescents. In A. Breland-Noble, C. S. Al-Mateen, N. N. Singh, A. Breland-Noble, C. S. Al-Mateen, N. N. Singh (Eds). Handbook of mental health in African American youth (pp. 3–20). Cham, Switzerland: Springer International Publishing.Google Scholar
  18. Ceballo, R., & McLoyd, V. C. (2002). Social support and parenting in poor, dangerous neighborhoods. Child Development, 73(4), 1310–1321.Google Scholar
  19. Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015). Second-generation PLINK: rising to the challenge of larger and richer datasets. GigaScience, 4(1), 7  https://doi.org/10.1186/s13742-015-0047-8.Google Scholar
  20. Chartier, K. G. (2018). The paucity of genetic studies of alcohol phenotypes in diverse populations: what are the consequences and opportunities? Addiction, 114(7), 1147–1149.Google Scholar
  21. Chartier, K. G., Karriker-Jaffe, K. J., Cummings, C. R., & Kendler, K. S. (2017). Environmental influences on alcohol use: informing research on the joint effects of genes and the environment in diverse US populations. The American Journal on Addictions, 26(5), 446–460.Google Scholar
  22. Chassin, L., Sher, K. J., Hussong, A., & Curran, P. (2013). The developmental psychopathology of alcohol use and alcohol disorders: research achievements and future directions. Development and Psychopathology, 25(4, Part 2), 1567–1584.  https://doi.org/10.1017/S0954579413000771.Google Scholar
  23. Dick, D. M., Bierut, L., Hinrichs, A., Fox, L., Bucholz, K. K., Kramer, J., & Almasy, L. (2006). The role of GABRA2 in risk for conduct disorder and alcohol and drug dependence across developmental stages. Behavior Genetics, 36(4), 577–590.Google Scholar
  24. Dick, D. M., Latendresse, S. J., Lansford, J. E., Budde, J. P., Goate, A., Dodge, K. A., & Bates, J. E. (2009). Role of GABRA2 in trajectories of externalizing behavior across development and evidence of moderation by parental monitoring. Archives of General Psychiatry, 66(6), 649–657.Google Scholar
  25. Dick, D. M., Agrawal, A., Keller, M. C., Adkins, A., Aliev, F., Monroe, S., & Sher, K. J. (2015). Candidate gene–environment interaction research: reflections and recommendations. Perspectives on Psychological Science, 10(1), 37–59.Google Scholar
  26. Ebesutani, C., Bernstein, A., Martinez, J. I., Chorpita, B. F., & Weisz, J. R. (2011). The youth self report: applicability and validity across younger and older youths. Journal of Clinical Child and Adolescent Psychology, 40(2), 338–346.  https://doi.org/10.1080/15374416.2011.546041.Google Scholar
  27. Edwards, A. C., Gardner, C. O., Hickman, M., & Kendler, K. S. (2016). A prospective longitudinal model predicting early adult alcohol problems: evidence for a robust externalizing pathway. Psychological Medicine, 46(5), 957–968.  https://doi.org/10.1017/S0033291715002457.Google Scholar
  28. Ellis, B. J., & Boyce, W. T. (2008). Biological sensitivity to context. Current Directions in Psychological Science, 17(3), 183–187.Google Scholar
  29. Fagan, A. A. (2003). The short-and long-term effects of adolescent violent victimization experienced within the family and community. Violence and Victims, 18(4), 445.Google Scholar
  30. Fergusson, D. M., Boden, J. M., & Horwood, L. J. (2008). The developmental antecedents of illicit drug use: evidence from a 25-year longitudinal study. Drug and Alcohol Dependence, 96(1–2), 165–177.  https://doi.org/10.1016/j.drugalcdep.2008.03.003.Google Scholar
  31. Furr-Holden, C. D. M., Lee, M. H., Johnson, R., Milam, A. J., Duncan, A., Reboussin, B. A., & Ialongo, N. S. (2015). Neighborhood environment and marijuana use in urban young adults. Prevention Science, 16(2), 268–278.  https://doi.org/10.1007/s11121-014-0497-8.Google Scholar
  32. Gach, E. J., Ip, K. I., Sameroff, A. J., & Olson, S. L. (2018). Early cumulative risk predicts externalizing behavior at age 10: the mediating role of adverse parenting. Journal of Family Psychology, 32(1), 92–102.  https://doi.org/10.1037/fam0000360.Google Scholar
  33. Geels, L. M., Bartels, M., van Beijsterveldt, T. C., Willemsen, G., van der Aa, N., Boomsma, D. I., & Vink, J. M. (2012). Trends in adolescent alcohol use: effects of age, sex and cohort on prevalence and heritability. Addiction, 107(3), 518–527.  https://doi.org/10.1111/j.1360-0443.2011.03612.x.Google Scholar
  34. Gelernter, J., Kranzler, H. R., Sherva, R., Almasy, L., Koesterer, R., Smith, A. H., & Farrer, L. A. (2014). Genome-wide association study of alcohol dependence: significant findings in African- and European-Americans including novel risk loci. Molecular Psychiatry, 19(1), 41–49.  https://doi.org/10.1038/mp.2013.145.Google Scholar
  35. Gorman-Smith, D., & Tolan, P. (1998). The role of exposure to community violence and developmental problems among inner-city youth. Development and Psychopathology, 10(1), 101–116.  https://doi.org/10.1017/s0954579498001539.Google Scholar
  36. Goyal, N., Aliev, F., Latendresse, S. J., Kertes, D. A., Bolland, J. M., Byck, G. R., & Dick, D. M. (2016). Genes involved in stress response and alcohol use among high-risk African American youth. Substance Abuse, 37(3), 450–458.  https://doi.org/10.1080/08897077.2015.1134756.Google Scholar
  37. Groenman, A. P., Janssen, T. W. P., & Oosterlaan, J. (2017). Childhood psychiatric disorders as risk factor for subsequent substance abuse: a meta-analysis. Journal of American Academy of Child and Adolescent Psychiatry, 56(7), 556–569.  https://doi.org/10.1016/j.jaac.2017.05.004.Google Scholar
  38. 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(7), 981–993.Google Scholar
  39. Haynie, D. L., & South, S. J. (2005). Residential mobility and adolescent violence. Social Forces, 84(1), 361–374.  https://doi.org/10.1353/sof.2005.0104.Google Scholar
  40. Hicks, B. M., South, S. C., DiRago, A. C., Iacono, W. G., & McGue, M. (2009). Environmental adversity and increasing genetic risk for externalizing disorders. Archives of General Psychiatry, 66(6), 640–648.Google Scholar
  41. Hussong, A. M., Burns, A. R., Solis, J. M., & Rothenberg, W. A. (2013). Future directions in the developmental science of addictions. Journal of Clinical Child & Adolescent Psychology, 42(6), 863–873.Google Scholar
  42. Irons, D. E., Iacono, W. G., Oetting, W. S., & McGue, M. (2012). Developmental trajectory and environmental moderation of the effect of ALDH2 polymorphism on alcohol use. Alcoholism: Clinical and Experimental Research, 36(11), 1882–1891.Google Scholar
  43. Jackson, K. M. (2010). Progression through early drinking milestones in an adolescent treatment sample. Addiction, 105(3), 438–449.  https://doi.org/10.1111/j.1360-0443.2009.02800.x.Google Scholar
  44. Johnston, L. D., Miech, R. A., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E. (2018). Monitoring the future national survey results on drug use, 1975–2017: overview, key findings on adolescent drug use. University of Michigan, Ann Arbor, MI.Google Scholar
  45. Karriker-Jaffe, K. J., Lönn, S. L., Cook, W. K., Kendler, K. S., & Sundquist, K. (2018). Chains of risk for alcohol use disorder: mediators of exposure to neighborhood deprivation in early and middle childhood. Health & Place, 50, 16–26.Google Scholar
  46. King, K. M., Molina, B. S., & Chassin, L. (2009). Prospective relations between growth in drinking and familial stressors across adolescence. Journal of Abnormal Psychology, 118(3), 610.Google Scholar
  47. Kos, M. Z., Yan, J., Dick, D. M., Agrawal, A., Bucholz, K. K., Rice, J. P., & Kramer, J. (2013). Common biological networks underlie genetic risk for alcoholism in African‐and European‐American populations. Genes, Brain and Behavior, 12(5), 532–542.Google Scholar
  48. Kranzler, H. R., Scott, D., Tennen, H., Feinn, R., Williams, C., Armeli, S., & Covault, J. (2012). The 5‐HTTLPR polymorphism moderates the effect of stressful life events on drinking behavior in college students of African descent. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159(5), 484–490.Google Scholar
  49. Layne, C. M., Greeson, J. K. P., Ostrowski, S. A., Kim, S., Reading, S., Vivrette, R. L., & Pynoos, R. S. (2014). Cumulative trauma exposure and high risk behavior in adolescence: findings from the National Child Traumatic Stress Network Core Data Set. Psychological Trauma: Theory, Research, Practice, and Policy, 6(Suppl 1), S40–S49.  https://doi.org/10.1037/a0037799.Google Scholar
  50. Li, J. J., Savage, J. E., Kendler, K. S., Hickman, M., Mahedy, L., Macleod, J., & Dick, D. M. (2017). Polygenic risk, personality dimensions, and adolescent alcohol use problems: a longitudinal study. Journal of Studies on Alcohol and Drugs, 78(3), 442–451.Google Scholar
  51. Lieberman, R., Armeli, S., Scott, D. M., Kranzler, H. R., Tennen, H., & Covault, J. (2016). FKBP5 genotype interacts with early life trauma to predict heavy drinking in college students. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 171(6), 879–887.Google Scholar
  52. Lynskey, M. T., Agrawal, A., & Heath, A. C. (2010). Genetically informative research on adolescent substance use: methods, findings, and challenges. Journal of the American Academy of Child & Adolescent Psychiatry, 49(12), 1202–1214.  https://doi.org/10.1016/j.jaac.2010.09.004.Google Scholar
  53. Malone, P. S., Northrup, T. F., Masyn, K. E., Lamis, D. A., & Lamont, A. E. (2012). Initiation and persistence of alcohol use in United States Black, Hispanic, and White male and female youth. Addictive Behaviors, 37(3), 299–305.  https://doi.org/10.1016/j.addbeh.2011.11.010.Google Scholar
  54. McDermott, E. R., Donlan, A. E., Anderson, S., & Zaff, J. F. (2017). Self‐control and adolescent internalizing and externalizing problems: neighborhood‐based differences. Journal of Community Psychology, 45(3), 297–314.  https://doi.org/10.1002/jcop.21848.Google Scholar
  55. McLoyd, V. C. (2011). How money matters for children’s socioemotional adjustment: family processes and parental investment. In Health disparities in youth and families (pp. 33–72). Springer, New York, NY.Google Scholar
  56. Meier, M. H., Hall, W., Caspi, A., Belsky, D. W., Cerdá, M., Harrington, H., & Moffitt, T. E. (2016). Which adolescents develop persistent substance dependence in adulthood? Using population-representative longitudinal data to inform universal risk assessment. Psychological Medicine, 46(4), 877–889.Google Scholar
  57. Melhem, N. M., Walker, M., Moritz, G., & Brent, D. A. (2008). Antecedents and sequelae of sudden parental death in offspring and surviving caregivers. Archives of Pediatrics & Adolescent Medicine, 162(5), 403–410.Google Scholar
  58. Meyers, J. L., & Dick, D. M. (2010). Genetic and environmental risk factors for adolescent-onset substance use disorders. Child and Adolescent Psychiatric Clinics of North America, 19(3), 465–477.  https://doi.org/10.1016/j.chc.2010.03.013.Google Scholar
  59. Moffitt, T. E., & Caspi, A. (2001). Childhood predictors differentiate life-course persistent and adolescence-limited antisocial pathways among males and females. Development and Psychopathology, 13(2), 355–375.Google Scholar
  60. Moffitt, T. E., Caspi, A., Dickson, N., Silva, P., & Stanton, W. (1996). Childhood-onset versus adolescent-onset antisocial conduct problems in males: natural history from ages 3 to 18 years. Development and Psychopathology, 8(2), 399–424.Google Scholar
  61. Mok, P. L. H., Webb, R. T., Appleby, L., & Pedersen, C. B. (2016). Full spectrum of mental disorders linked with childhood residential mobility. Journal of Psychiatric Research, 78, 57–64.  https://doi.org/10.1016/j.jpsychires.2016.03.011.Google Scholar
  62. Monroe, S. M., & Simons, A. D. (1991). Diathesis-stress theories in the context of life stress research: implications for the depressive disorders. Psychological Bulletin, 110(3), 406.Google Scholar
  63. Muthén, L. K., & Muthén, B. (2017). Mplus User’s Guide (8th ed.). Los Angeles, CA: Muthén & Muthén (1998–2017).Google Scholar
  64. Patrick, M. E., & Schulenberg, J. E. (2014). Prevalence and predictors of adolescent alcohol use and binge drinking in the United States. Alcohol Research, 35(2), 193–200.Google Scholar
  65. Peterson, R. E., Edwards, A. C., Bacanu, S. A., Dick, D. M., Kendler, K. S., & Webb, B. T. (2017). The utility of empirically assigning ancestry groups in cross-population genetic studies of addiction. The American Journal on Addictions, 26(5), 494–501.  https://doi.org/10.1111/ajad.12586.Google Scholar
  66. Popejoy, A. B., & Fullerton, S. M. (2016). Genomics is failing on diversity. Nature, 538(7624), 161–164.  https://doi.org/10.1038/538161a.Google Scholar
  67. Psychiatric Genetics Consortium. (2014). Biological insights from 108 schizophrenia-associated genetic loci. Nature, 511(7510), 421–427.Google Scholar
  68. Purcell, S. M. (2007). PLINK. http://pngu.mgh.harvard.edu/purcell/plink/.
  69. Purcell, S. M., Wray, N. R., Stone, J. L., Visscher, P. M., O’Donovan, M. C., Sullivan, P. F., & Sklar, P. (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature, 460(7256), 748–752.  https://doi.org/10.1038/nature08185.Google Scholar
  70. 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(12), 1256–1264.Google Scholar
  71. Rhee, S. H., & Waldman, I. D. (2002). Genetic and environmental influences on antisocial behavior: a meta-analysis of twin and adoption studies. Psychological Bulletin, 128(3), 490.Google Scholar
  72. Rose, R. J., Dick, D. M., Viken, R. J., Pulkkinen, L., & Kaprio, J. (2004). Genetic and environmental effects on conduct disorder and alcohol dependence symptoms and their covariation at age 14. Alcoholism: Clinical and Experimental Research, 28(10), 1541–1548.Google Scholar
  73. Salvatore, J. E., Aliev, F., Bucholz, K., Agrawal, A., Hesselbrock, V., Hesselbrock, M., & Kramer, J. R. (2014). Polygenic risk for externalizing disorders gene-by-development and gene-by-environment effects in adolescents and young adults. Clinical Psychological Science, 3(2), 2167702614534211.Google Scholar
  74. Salvatore, J. E., Aliev, F., Edwards, A. C., Evans, D. M., Macleod, J., Hickman, M., & Dick, D. M. (2014). Polygenic scores predict alcohol problems in an independent sample and show moderation by the environment. Genes, 5(2), 330–346.  https://doi.org/10.3390/genes5020330.Google Scholar
  75. Sartor, C. E., Jackson, K. M., McCutcheon, V. V., Duncan, A. E., Grant, J. D., Werner, K. B., & Bucholz, K. K. (2016). Progression from first drink, first intoxication, and regular drinking to alcohol use disorder: a comparison of African American and European American Youth. Alcoholism: Clinical and Experimental Research, 40(7), 1515–1523.  https://doi.org/10.1111/acer.13113.Google Scholar
  76. Schlomer, G. L., Cleveland, H. H., Vandenbergh, D. J., Fosco, G. M., & Feinberg, M. E. (2015). Looking forward in candidate gene research: concerns and suggestions. Journal of Marriage and Family, 77(2), 351–354.  https://doi.org/10.1111/jomf.12165.Google Scholar
  77. Shih, R. A., Mullins, L., Ewing, B. A., Miyashiro, L., Tucker, J. S., Pedersen, E. R., & D’Amico, E. J. (2015). Associations between neighborhood alcohol availability and young adolescent alcohol use. Psychology of Addictive Behaviors, 29(4), 950.Google Scholar
  78. Sinha, R. (2008). Chronic stress, drug use, and vulnerability to addiction. Annals of the New York Academy of Sciences, 1141(1), 105–130.Google Scholar
  79. StataCorp. (2015). Stata statistical software: release 14. College Station, TX: StataCorp.Google Scholar
  80. Theall, K. P., Drury, S. S., & Shirtcliff, E. A. (2012). Cumulative neighborhood risk of psychosocial stress and allostatic load in adolescents. American Journal of Epidemiology, 176(Suppl 7), S164–S174.Google Scholar
  81. Thomas, N. S., Adkins, A., Aliev, F., Edwards, A. C., Webb, B. T., Tiarsmith, E. C., & Chartier, K. G. (2018). Alcohol metabolizing polygenic risk for alcohol consumption in European American college students. Journal of Studies on Alcohol and Drugs, 79(4), 627–634.Google Scholar
  82. Verweij, K. J., Creemers, H. E., Korhonen, T., Latvala, A., Dick, D. M., Rose, R. J., & Kaprio, J. (2016). Role of overlapping genetic and environmental factors in the relationship between early adolescent conduct problems and substance use in young adulthood. Addiction, 111(6), 1036–1045.Google Scholar
  83. Visscher, P. M., Brown, Matthew, A., McCarthy, Mark, I., & Yang, J. (2012). Five years of GWAS discovery. The American Journal of Human Genetics, 90(1), 7–24.  https://doi.org/10.1016/j.ajhg.2011.11.029.Google Scholar
  84. Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017). 10 years of GWAS discovery: biology, function, and translation. The American Journal of Human Genetics, 101(1), 5–22.Google Scholar
  85. Webb, B. T., Edwards, A. C., Wolen, A. R., Salvatore, J. E., Aliev, F., Riley, B. P., & Pedersen, K. (2017). Molecular genetic influences on normative and problematic alcohol use in a population-based sample of college students. Frontiers in Genetics, 8, 30.Google Scholar
  86. White, G. F., Gainey, R. R., & Triplett, R. A. (2015). Alcohol outlets and neighborhood crime: a longitudinal analysis. Crime & Delinquency, 61(6), 851–872.Google Scholar
  87. Wright, E. M., Fagan, A. A., & Pinchevsky, G. M. (2013). The effects of exposure to violence and victimization across life domains on adolescent substance use. Child Abuse & Neglect, 37(11), 899–909.Google Scholar
  88. Zapolski, T. C. B., Pedersen, S. L., McCarthy, D. M., & Smith, G. T. (2014). Less drinking, yet more problems: understanding African American drinking and related problems. Psychological Bulletin, 140(1).  https://doi.org/10.1037/a0032113.
  89. Zucker, R. A. (2008). Anticipating problem alcohol use developmentally from childhood into middle adulthood: what have we learned? Addiction, 103, 100–108.Google Scholar
  90. Zuckerman, M. (1999). Vulnerability to psychopathology: a biosocial model. (1st ed.). Washington, DC: American Psychological Association.Google Scholar

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Authors and Affiliations

  • Cristina B. Bares
    • 1
    Email author
  • Karen G. Chartier
    • 2
  • Katherine J. Karriker-Jaffe
    • 3
  • Fazil Aliev
    • 4
    • 5
  • Brian Mustanski
    • 6
  • Danielle Dick
    • 7
  1. 1.School of Social WorkUniversity of MichiganAnn ArborUSA
  2. 2.School of Social Work and Department of PsychiatryVirginia Commonwealth UniversityRichmondUSA
  3. 3.Alcohol Research GroupPublic Health InstituteEmeryvilleUSA
  4. 4.Department of PsychologyVirginia Commonwealth UniversityRichmondUSA
  5. 5.Karabuk UniversityKarabukTurkey
  6. 6.Department of Medical Social SciencesNorthwestern UniversityChicagoUSA
  7. 7.Department of PsychologyVirginia Commonwealth UniversityRichmondUSA

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