Skip to main content

Using Genetically Informed Prevention Trials to Test Gene × Environment Hypotheses

  • Chapter
  • First Online:
Gene-Environment Transactions in Developmental Psychopathology

Abstract

In this chapter, I describe research in which prevention science principles are combined with genomic science to produce gene × intervention (G × I) research. I note the roles of molecular genetics in risk mechanisms for drug use and describe the results of first-generation genetically informed prevention trials that my colleagues and I have undertaken. I next describe second-generation research that focused on G × I effects on mediators or intermediate processes. This research can be used to further understanding of etiological processes, to identify individuals’ responses to risk, and to increase the precision of prevention programs. The chapter ends with a discussion of caveats about using genetic data to select intervention participants.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Asghari, V., Sanyal, S., Buchwaldt, S., Paterson, A., Jovanovic, V., & An Tol, H. H. M. (1995). Modulation of intracellular cyclic AMP levels by different human dopamine D4 receptor variants. Journal of Neurochemistry, 65, 1157–1165.

    Article  PubMed  Google Scholar 

  • Asghari, V., Schoots, O., Van Kats, S., Ohara, K., Jovanovic, V., Guan, H.-C., … Van Tol, H. H. M. (1994). Dopamine D4 receptor repeat: Analysis of different native and mutant forms of the human and rat genes. Molecular Pharmacology, 46, 364–373.

    Google Scholar 

  • Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2015). The hidden efficacy of interventions: Gene × environment experiments from a differential susceptibility perspective. Annual Review of Psychology, 66, 381–409.

    Google Scholar 

  • Bakermans-Kranenburg, M. J., van IJzendoorn, M. H., Pijlman, F. T. A., Mesman, J., & Juffer, F. (2008). Experimental evidence for differential susceptibility: Dopamine D4 receptor polymorphism (DRD4 VNTR) moderates intervention effects on toddlers’ externalizing behavior in a randomized controlled trial. Developmental Psychology, 44, 293–300.

    Article  PubMed  Google Scholar 

  • Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.

    Article  PubMed  Google Scholar 

  • Barr, C. S., Newman, T. K., Lindell, S., Shannon, C., Champoux, M., Lesch, K. P., … Higley, J. D. (2004). Interaction between serotonin transporter gene variation and rearing condition in alcohol preference and consumption in female primates. Archives of General Psychiatry, 61, 1146–1152.

    Google Scholar 

  • Beach, S. R. H., Brody, G. H., Gunter, T. D., Packer, H., Wernett, P., & Philibert, R. A. (2010). Child maltreatment moderates the association of MAOA with symptoms of depression and antisocial personality disorder. Journal of Family Psychology, 24, 12–20.

    Google Scholar 

  • Beach, S. R. H., Brody, G. H., Lei, M.-K., & Philibert, R. A. (2010). Differential susceptibility to parenting among African American youths: Testing the DRD4 hypothesis. Journal of Family Psychology, 24, 513–521.

    Google Scholar 

  • Belsky, J., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2007). For better and for worse: Differential susceptibility to environmental influences. Current Directions in Psychological Science, 16, 300–304.

    Article  Google Scholar 

  • Billings, P. R., Kohn, M. A., de Cuevas, M., Beckwith, J., Alper, J. S., & Natowicz, M. R. (1992). Discrimination as a consequence of genetic testing. American Journal of Human Genetics, 50, 476–482.

    PubMed  PubMed Central  Google Scholar 

  • Boatright, S. R. (2005). The Georgia county guide (24th ed.). Athens: Center for Agribusiness and Economic Development.

    Google Scholar 

  • Brody, G. H., Beach, S. R. H., Philibert, R. A., Chen, Y.-F., & Murry, V. M. (2009). Prevention effects moderate the association of 5-HTTLPR and youth risk behavior initiation: Gene × environment hypotheses tested via a randomized prevention design. Child Development, 80, 645–661.

    Article  PubMed  Google Scholar 

  • Brody, G. H., Chen, Y.-F., & Beach, S. R. H. (2013). Differential susceptibility to prevention: GABAergic, dopaminergic, and multilocus effects. Journal of Child Psychology and Psychiatry, 54, 863–871.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brody, G. H., Chen, Y.-F., Beach, S. R. H., Kogan, S. M., Yu, T., Diclemente, R. J., … Philibert, R. A. (2014). Differential sensitivity to prevention programming: A dopaminergic polymorphism-enhanced prevention effect on protective parenting and adolescent substance use. Health Psychology, 33, 182–191.

    Google Scholar 

  • Brody, G. H., Chen, Y.-F., & Kogan, S. M. (2010). A cascade model connecting life stress to risk behavior among rural African American emerging adults. Development and Psychopathology, 22, 667–678.

    Google Scholar 

  • Brody, G. H., Chen, Y.-F., Kogan, S. M., Murry, V. M., & Brown, A. C. (2010). Long-term effects of the Strong African American Families program on youths’ alcohol use. Journal of Consulting and Clinical Psychology, 78, 281–285.

    Google Scholar 

  • Brody, G. H., Chen, Y.-F., Kogan, S. M., Smith, K., & Brown, A. C. (2010). Buffering effects of a family-based intervention for African American emerging adults. Journal of Marriage and Family, 72, 1426–1435.

    Google Scholar 

  • Brody, G. H., Chen, Y.-F., Kogan, S. M., Yu, T., Molgaard, V. K., Diclemente, R. J., & Wingood, G. M. (2012). Family-centered program to prevent substance use, conduct problems, and depressive symptoms in Black adolescents. Pediatrics, 129, 108–115.

    Google Scholar 

  • Brody, G. H., Chen, Y.-F., Yu, T., Beach, S. R. H., Kogan, S. M., Simons, R. L., … Philibert, R. A. (2012). Life stress, the dopamine receptor gene, and emerging adult drug use trajectories: A longitudinal, multilevel, mediated moderation analysis. Development and Psychopathology, 24, 941–951.

    Google Scholar 

  • Brody, G. H., Murry, V. M., Gerrard, M., Gibbons, F. X., Molgaard, V., McNair, L. D., … Neubaum-Carlan, E. (2004). The Strong African American Families program: Translating research into prevention programming. Child Development, 75, 900–917.

    Google Scholar 

  • Brody, G. H., Murry, V. M., Kogan, S. M., Gerrard, M., Gibbons, F. X., Molgaard, V., … Wills, T. A. (2006). The Strong African American Families program: A cluster-randomized prevention trial of long-term effects and a mediational model. Journal of Consulting and Clinical Psychology, 74, 356–366.

    Google Scholar 

  • Brody, G. H., Yu, T., & Beach, S. R. H. (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, 37–49.

    Article  PubMed  PubMed Central  Google Scholar 

  • Brody, G. H., Yu, T., Chen, Y.-F., Kogan, S. M., & Smith, K. (2012). The Adults in the Making program: Long-term protective stabilizing effects on alcohol use and substance use problems for rural African American emerging adults. Journal of Consulting and Clinical Psychology, 80, 17–28.

    Google Scholar 

  • Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., … Poulton, R. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297, 851–854.

    Google Scholar 

  • Centers for Disease Control and Prevention. (2000). Youth risk behavior surveillance—United States, 1999. Morbidity and Mortality Weekly Report, 49, 1–96.

    Google Scholar 

  • Eisenberg, D. T. A., MacKillop, J., Modi, M., Beauchemin, J., Dang, D., Lisman, S. A., … Wilson, D. S. (2007). Examining impulsivity as an endophenotype using a behavioral approach: A DRD2 Taq1 A and DRD4 48-bp VNTR association study. Behavioral and Brain Functions, 3, 2.

    Google Scholar 

  • Fergus, S., & Zimmerman, M. A. (2005). Adolescent resilience: A framework for understanding healthy development in the face of risk. Annual Review of Public Health, 26, 399–419.

    Article  PubMed  Google Scholar 

  • Foxcroft, D. R., Ireland, D., Lister-Sharp, D. J., Lowe, G., & Breen, R. (2003). Longer-term primary prevention for alcohol misuse in young people: A systematic review. Addiction, 98, 397–411.

    Article  PubMed  Google Scholar 

  • French, K., Finkbiner, R., & Duhamel, L. (2002). Patterns of substance use among minority youth and adults in the United States: An overview and synthesis of national survey findings. Fairfax, VA: Department of Health and Human Services.

    Google Scholar 

  • Howe, G. W., Reiss, D., & Yuh, J. (2002). Can prevention trials test theories of etiology? Development and Psychopathology, 14, 673–694.

    Article  PubMed  Google Scholar 

  • Kegel, C. A. T., Bus, A. G., & van IJzendoorn, M. H. (2011). Differential susceptibility in early literacy instruction through computer games: The role of the dopamine D4 receptor gene (DRD4). Mind, Brain, and Education, 5, 71–78.

    Article  Google Scholar 

  • Kreek, M. J., Nielsen, D. A., Butelman, E. R., & LaForge, K. S. (2005). Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nature Neuroscience, 8, 1450–1457.

    Article  PubMed  Google Scholar 

  • Kumpfer, K. L., Alvarado, R., & Whiteside, H. O. (2003). Family-based interventions for substance use and misuse prevention. Substance Use and Misuse, 38, 1759–1787.

    Article  PubMed  Google Scholar 

  • Laucht, M., Becker, K., Blomeyer, D., & Schmidt, M. H. (2007). Novelty seeking involved in mediating the association between the dopamine D4 receptor gene exon III polymorphism and heavy drinking in male adolescents: Results from a high-risk community sample. Biological Psychiatry, 61, 87–92.

    Article  PubMed  Google Scholar 

  • Leigh, B. C., & Stahl, R. (1993). Substance use and risky sexual behavior for exposure to HIV: Issues in methodology, interpretation, and prevention. American Psychologist, 48, 1035–1045.

    Article  PubMed  PubMed Central  Google Scholar 

  • Moffitt, T. E., Poulton, R., & Caspi, A. (2013). Lifelong impact of early self-control. American Scientist, 101, 352–359.

    Article  Google Scholar 

  • Molgaard, V., & Spoth, R. (2001). The Strengthening Families Program for young adolescents: Overview and outcomes. Residential Treatment for Children and Youth, 18, 15–29.

    Article  Google Scholar 

  • Muthén, L. K., & Curran, P. J. (1997). General longitudinal modeling of individual differences in experimental designs: A latent variable framework for analysis and power estimation. Psychological Methods, 2, 371–402.

    Article  Google Scholar 

  • National Center on Addiction and Substance Abuse. (2000). No place to hide: Substance abuse in mid-size cities and rural America. New York: Columbia University.

    Google Scholar 

  • O’Connell, M. E., Boat, T., & Warner, K. E. (2009). Preventing mental, emotional, and behavioral disorders among young people: Progress and possibilities. Washington, DC: National Academies Press.

    Google Scholar 

  • Offord, D. R., Kraemer, H. C., Kazdin, A. E., Jensen, P. S., & Harrington, R. (1998). Lowering the burden of suffering from child psychiatric disorder: Trade-offs among clinical, targeted, and universal interventions. Journal of the American Academy of Child and Adolescent Psychiatry, 37, 686–694.

    Article  PubMed  Google Scholar 

  • Pauli-Pott, U., Friedl, S., Hinney, A., & Hebebrand, J. (2009). Serotonin transporter gene polymorphism (5-HTTLPR), environmental conditions, and developing negative emotionality and fear in early childhood. Journal of Neural Transmission, 116, 503–512.

    Article  PubMed  Google Scholar 

  • Proctor, B. D. & Dalaker, J. (2003). Poverty in the United States: 2002 (Current Population Reports, P60-222). Washington, DC: US Census Bureau.

    Google Scholar 

  • Robson, M. E., Storm, C. D., Weitzel, J., Wollins, D. S., & Offit, K. (2010). American Society of Clinical Oncology policy statement update: Genetic and genomic testing for cancer susceptibility. Journal of Clinical Oncology, 28, 893–901.

    Article  PubMed  Google Scholar 

  • Rose, G. (1981). Strategy of prevention: Lessons from cardiovascular disease. British Medical Journal, 282, 1847–1851.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rutter, M. L. (2005). Environmentally mediated risks for psychopathology: Research strategies and findings. Journal of the American Academy of Child and Adolescent Psychiatry, 44, 3–18.

    Article  PubMed  Google Scholar 

  • Rutter, M. L. (2006). Genes and behavior: Nature-nurture interplay explained. Malden, MA: Blackwell.

    Google Scholar 

  • Rutter, M. L., Moffitt, T. E., & Caspi, A. (2006). Gene-environment interplay and psychopathology: Multiple varieties but real effects. Journal of Child Psychology and Psychiatry, 47, 226–261.

    Article  PubMed  Google Scholar 

  • Schoots, O., & Van Tol, H. H. M. (2003). The human dopamine D4 receptor repeat sequences modulate expression. Pharmacogenetics Journal, 3, 343–348.

    Article  Google Scholar 

  • Schulenberg, J. E., Sameroff, A. J., & Cicchetti, D. (2004). The transition to adulthood as a critical juncture in the course of psychopathology and mental health. Development and Psychopathology, 16, 799–806.

    PubMed  Google Scholar 

  • Smearman, E. L., Yu, T., & Brody, G. H. (2016). Variation in the oxytocin receptor gene moderates the protective effects of a family-based prevention program on telomere length. Brain and Behavior, 6(2), e00423. doi:10.1002/brb3.423.

  • Spoth, R. L., Redmond, C., & Shin, C. (1998). Direct and indirect latent-variable parenting outcomes of two universal family-focused preventive interventions: Extending a public health-oriented research base. Journal of Consulting and Clinical Psychology, 66, 385–399.

    Article  PubMed  Google Scholar 

  • Spoth, R. L., Redmond, C., Trudeau, L., & Shin, C. (2002). Longitudinal substance initiation outcomes for a universal preventive intervention combining family and school programs. Psychology of Addictive Behaviors, 16, 129–134.

    Article  PubMed  Google Scholar 

  • van IJzendoorn, M. H. (2013). Genetic differential susceptibility experiments. In Jacobs Foundation Conference, Genetic Moderation of Intervention Effects. Marbach Conference, Öhningen, Germany.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gene H. Brody .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Brody, G.H. (2017). Using Genetically Informed Prevention Trials to Test Gene × Environment Hypotheses. In: Tolan, P., Leventhal, B. (eds) Gene-Environment Transactions in Developmental Psychopathology. Advances in Development and Psychopathology: Brain Research Foundation Symposium Series, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49227-8_11

Download citation

Publish with us

Policies and ethics