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The interaction between the dopamine receptor D4 (DRD4) variable number tandem repeat polymorphism and perceived peer drinking norms in adolescent alcohol use and misuse

Published online by Cambridge University Press:  23 February 2016

Aesoon Park ,
Jueun Kim ,
Michelle J. Zaso ,
Stephen J. Glatt ,
Kenneth J. Sher ,
Lori A. J. Scott-Sheldon ,
Tanya L. Eckert ,
Peter A. Vanable ,
Kate B. Carey  and
Craig K. Ewart
...Show all authors
Aesoon Park*
Affiliation:
Syracuse University
Jueun Kim
Affiliation:
Syracuse University
Michelle J. Zaso
Affiliation:
Syracuse University
Stephen J. Glatt
Affiliation:
SUNY Upstate Medical University
Kenneth J. Sher
Affiliation:
University of Missouri
Lori A. J. Scott-Sheldon
Affiliation:
Miriam Hospital Brown University
Tanya L. Eckert
Affiliation:
Syracuse University
Peter A. Vanable
Affiliation:
Syracuse University
Kate B. Carey
Affiliation:
Brown University
Craig K. Ewart
Affiliation:
Syracuse University
Michael P. Carey
Affiliation:
Miriam Hospital Brown University
*
Address correspondence and reprint requests to: Aesoon Park, Department of Psychology, Syracuse University, 430 Huntington Hall, Syracuse, NY 13244; E-mail: [email protected].
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Abstract

Peer drinking norms are arguably one of the strongest correlates of adolescent drinking. Prospective studies indicate that adolescents tend to select peers based on drinking (peer selection) and their peers' drinking is associated with changes in adolescent drinking over time (peer socialization). The present study investigated whether the peer selection and socialization processes in adolescent drinking differed as a function of the dopamine receptor D4 (DRD4) variable number tandem repeat genotype in two independent prospective data sets. The first sample was 174 high school students drawn from a two-wave 6-month prospective study. The second sample was 237 college students drawn from a three-wave annual prospective study. Multigroup cross-lagged panel analyses of the high school student sample indicated stronger socialization via peer drinking norms among carriers, whereas analyses of the college student sample indicated stronger drinking-based peer selection in the junior year among carriers, compared to noncarriers. Although replication and meta-analytic synthesis are needed, these findings suggest that in part genetically determined peer selection (carriers of the DRD4 seven-repeat allele tend to associate with peers who have more favorable attitudes toward drinking and greater alcohol use) and peer socialization (carriers' subsequent drinking behaviors are more strongly associated with their peer drinking norms) may differ across adolescent developmental stages.

Type
Regular Articles
Information
Development and Psychopathology , Volume 29 , Special Issue 1: Developmental and Social–Ecological Perspectives on Children, Political Violence, and Armed Conflict , February 2017 , pp. 173 - 183
Copyright
Copyright © Cambridge University Press 2016 

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References

Agrawal, A., Balasubramanian, S., Smith, E. K., Madden, P. A., Bucholz, K. K., Heath, A. C., et al. (2010). Peer substance involvement modifies genetic influences on regular substance involvement in young women. Addiction, 105, 1844–1853.Google Scholar
Asghari, V., Sanyal, S., Buchwaldt, S., Paterson, A., Jovanovic, V., & Van Tol, H. H. (1995). Modulation of intracellular cyclic AMP levels by different human dopamine D4 receptor variants. Journal of Neurochemistry, 65, 1157–1165.Google Scholar
Bau, C. H., Almeida, S., Costa, F. T., Garcia, C. E., Elias, E. P., Ponso, A. C., et al. (2001). DRD4 and DAT1 as modifying genes in alcoholism: Interaction with novelty seeking on level of alcohol consumption. Molecular Psychiatry, 6, 7–9.Google Scholar
Beaver, K. M., Wright, J. P., & DeLisi, M. (2008). Delinquent peer group formation: Evidence of a gene x environment correlation. Journal of Genetic Psychology, 169, 227–244.Google Scholar
Benjamin, J., Li, L., Patterson, C., Greenberg, B. D., Murphy, D. L., & Hamer, D. H. (1996). Population and familial association between the D4 dopamine receptor gene and measures of novelty seeking. Nature Genetics, 12, 81–84.CrossRefGoogle ScholarPubMed
Bookman, E. B., McAllister, K., Gillanders, E., Wanke, K., Balshaw, D., Rutter, J., et al. (2011). Gene–environment interplay in common complex diseases: Forging an integrative model—Recommendations from an NIH workshop. Genetic Epidemiology, 35, 217–225.Google Scholar
Borsari, B. E., & Carey, K. B. (1999). Understanding fraternity drinking: Five recurring themes in the literature, 1980–1998. Journal of American College Health, 48, 30–37.Google Scholar
Borsari, B. E., & Carey, K. B. (2003). Descriptive and injunctive norms in college drinking: A meta-analytic integration. Journal of Studies on Alcohol, 64, 331–341.Google Scholar
Buss, D. M. (1987). Evolutionary hypotheses and behavioral genetic methods: Hopes for a union of two disparate disciplines. Behavioral and Brain Sciences, 10, 20–21.Google Scholar
Caspi, A., & Bem, D. J. (1990). Personality continuity and change across the life course. In Pervin, L. A. (Ed.), Handbook of personality: Theory and research. New York: Guilford Press.Google Scholar
Chassin, L., Lee, M. R., Cho, Y. I., Wang, F. L., Agrawal, A., Sher, K. J., et al. (2012). Testing multiple levels of influence in the intergenerational transmission of alcohol disorders from a developmental perspective: The example of alcohol use promoting peers and μ-opioid receptor M1 variation. Development and Psychopathology, 24, 953–967.Google Scholar
Creswell, K. G., Sayette, M. A., Manuck, S. B., Ferrell, R. E., Hill, S. Y., & Dimoff, J. D. (2012). DRD4 polymorphism moderates the effect of alcohol consumption on social bonding. PLOS ONE, 7, 1–9.Google Scholar
Crews, T. M., & Sher, K. J. (1992). Using adapted short MASTs for assessing parental alcoholism: Reliability and validity. Alcoholism: Clinical and Experimental Research, 16, 576–584.Google Scholar
Curran, P. J., Stice, E., & Chassin, L. (1997). The relation between adolescent alcohol use and peer alcohol use: A longitudinal random coefficients model. Journal of Consulting and Clinical Psychology, 65, 130–140.Google Scholar
Duncan, L. E., & Keller, M. C. (2011). A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry. American Journal of Psychiatry, 168, 1041–1049.CrossRefGoogle ScholarPubMed
Endicott, J., Andreasen, N. C., & Spitzer, R. L. (1978). Family History—Research Diagnostic Criteria (FH-RDC). Washington, DC: National Institute of Mental Health.Google Scholar
Filbey, F. M., Ray, L., Smolen, A., Claus, E. D., Audette, A., & Hutchison, K. E. (2008). Differential neural response to alcohol priming and alcohol taste cues is associated with DRD4 VNTR and OPRM1 genotypes. Alcoholism: Clinical and Experimental Research, 32, 1113–1123.CrossRefGoogle ScholarPubMed
Gauderman, W., & Morrison, J. (2006). QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies. Retrieved from http://hydra.usc.edu/gxe Google Scholar
Graham, J. W., Cumsille, P. E., & Elek-Fisk, E. (2003). Methods for handling missing data. In Schinka, J. A. & Velicer, W. F. (Eds.), Handbook of psychology (pp. 87–114). New York: Wiley.Google Scholar
Guo, G., Elder, G. H., Cai, T., & Hamilton, N. (2009). Gene-environment interactions: Peers’ alcohol use moderates genetic contribution to adolescent drinking behavior. Social Science Research, 38, 213–224.CrossRefGoogle ScholarPubMed
Harden, K. P., Hill, J. E., Turkheimer, E., & Emery, R. E. (2008). Gene-environment correlation and interaction in peer effects on adolescent alcohol and tobacco use. Behavior Genetics, 38, 339–347.Google Scholar
Hoggart, C. J., Parra, E. J., Shriver, M. D., Bonilla, C., Kittles, R. A., Clayton, D. G., et al. (2003). Control of confounding of genetic associations in stratified populations. American Journal of Human Genetics, 72, 1492–1504.CrossRefGoogle ScholarPubMed
Hopfer, C. J., Timberlake, D., Haberstick, B., Lessem, J. M., Ehringer, M. A., Smolen, A., et al. (2005). Genetic influences on quantity of alcohol consumed by adolescents and young adults. Drug and Alcohol Dependence, 78, 187–193.Google Scholar
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.Google Scholar
Hutchison, K. E., McGeary, J., Smolen, A., Bryan, A., & Swift, R. M. (2002). The DRD4 VNTR polymorphism moderates craving after alcohol consumption. Health Psychology, 2, 139–146.Google Scholar
Jackson, K. M., Sher, K. J., & Park, A. (2005). Drinking among college students. In Galanter, M., Lowman, C., Boyd, G., Faden, V., Witt, E., & Lagressa, D. (Eds.), Recent developments in alcoholism: Vol. 17. Alcohol problems in adolescents and young adults (pp. 85–117). New York: Springer.CrossRefGoogle Scholar
Jessor, R., & Jessor, S. L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York: Academic Press.Google Scholar
Kandel, D. B. (1996). The parental and peer contexts of adolescent deviance: An algebra of interpersonal influences. Journal of Drug Issues, 26, 289–315.CrossRefGoogle Scholar
Keller, M. C. (2014). Gene × environment interaction studies have not properly controlled for potential confounders: The problem and the (simple) solution. Biological Psychiatry, 75, 18–24.Google Scholar
Kidd, K. K., Pakstis, A. J., & Yun, L. (2014). An historical perspective on “The world-wide distribution of allele frequencies at the human dopamine D4 receptor locus.” Human Genetics, 133, 431–433.Google Scholar
Kim, J., & Ferree, D. G. (1981). Standardization in causal analysis. Sociological Methods & Research, 10, 187–210.Google Scholar
Kuntsche, E., Knibbe, R., Gmel, G., & Engels, R. (2005). Why do young people drink? A review of drinking motives. Clinical Psychology Review, 25, 841–861.Google Scholar
LaHoste, G. J., Swanson, J. M., Wigal, S. B., Glabe, C., Wigal, T., King, N., et al. (1996). Dopamine D4 receptor gene polymorphism is associated with attention deficit hyperactivity disorder. Molecular Psychiatry, 1, 121–124.Google Scholar
Larimer, M. E., Turner, A. P., Mallett, K. A., & Geisner, I. M. (2004). Predicting drinking behavior and alcohol-related problems among fraternity and sorority members: Examining the role of descriptive and injunctive norms. Psychology of Addictive Behaviors, 18, 203–212.Google Scholar
Larsen, H., van der Zwaluw, C. S., Overbeek, G., Granic, I., Franke, B., & Engels, R. C. (2010). A variable-number-of-tandem-repeats polymorphism in the dopamine D4 receptor gene affects social adaptation of alcohol use: Investigation of a gene-environment interaction. Psychological Science, 21, 1064–1068.Google Scholar
Lintonen, T., Ahlström, S., & Metso, L. (2004). The reliability of self-reported drinking in adolescence. Alcohol and Alcoholism, 39, 362–368.Google Scholar
Londin, E. R., Keller, M. A., Maista, C., Smith, G., Mamounas, L. A., Zhang, R., et al. (2010). CoAIMs: A cost-effective panel of ancestry informative markers for determining continental origins. PLOS ONE, 5, e13443.Google Scholar
Maxwell, S. E., Cole, D. A., & Mitchell, M. A. (2011). Bias in cross-sectional analyses of longitudinal mediation: Partial and complete mediation under an autoregressive model. Multivariate Behavioral Research, 46, 816–841.Google Scholar
McGeary, J. (2009). The DRD4 exon 3 VNTR polymorphism and addiction-related phenotypes: A review. Pharmacology Biochemistry and Behavior, 93, 222–229.Google Scholar
Mrug, S., & Windle, M. (2014). DRD4 and susceptibility to peer influence on alcohol use from adolescence to adulthood. Drug and Alcohol Dependence, 145, 168–173.CrossRefGoogle ScholarPubMed
Munafò, M. R., Yalcin, B., Willis-Owen, S. A., & Flint, J. (2008). Association of the dopamine D4 receptor (DRD4) gene and approach-related personality traits: Meta-analysis and new data. Biological Psychiatry, 63, 197–206.Google Scholar
Mundt, M. P. (2011). The impact of peer social networks on adolescent alcohol use initiation. Academic Pediatrics, 11, 414–421.Google Scholar
Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user's guide (7th ed.). Los Angeles: Author.Google Scholar
Park, A., Sher, K. J., Todorov, A. A., & Heath, A. C. (2011). Interaction between the DRD4 VNTR polymorphism and proximal and distal environments in alcohol dependence during emerging and young adulthood. Journal of Abnormal Psychology, 120, 585–595.Google Scholar
Park, A., Sher, K. J., Wood, P. K., & Krull, J. L. (2009). Dual mechanisms underlying accentuation of risky drinking via fraternity/sorority affiliation: The role of personality, peer norms, and alcohol availability. Journal of Abnormal Psychology, 118, 241–255.Google Scholar
Perkins, H. W., & Berkowitz, A. D. (1986). Perceiving the community norms of alcohol use among students: Some research implications for campus alcohol education programming. International Journal of the Addictions, 21, 961–976.Google Scholar
Pritchard, J. K., Stephens, M., & Donnelly, P. (2000). Inference of population structure using multilocus genotype data. Genetics, 155, 945–959.Google Scholar
Quigley, B. M., & Collins, R. L. (1999). The modeling of alcohol consumption: A meta-analytic review. Journal of Studies on Alcohol, 60, 90–98.Google Scholar
Ray, L., Bryan, A., Mackillop, J., McGeary, J., Hesterberg, K., & Hutchison, K. E. (2009). The dopamine D receptor (DRD4) gene exon III polymorphism, problematic alcohol use and novelty seeking: Direct and mediated genetic effects. Addiction Biology, 14, 238–244.Google Scholar
Ray, L., Miranda, R., Tidey, J., McGeary, J., Mackillop, J., Gwaltney, C., et al. (2010). Polymorphisms of the μ-opioid receptor and dopamine D4 receptor genes and subjective responses to alcohol in the natural environment. Journal of Abnormal Psychology, 119, 115–125.Google Scholar
Rose, R. J., & Dick, D. M. (2004/2005). Gene-environment interplay in adolescent drinking behavior. Alcohol Research & Health, 28, 222–229.Google Scholar
Satorra, A., & Bentler, P. M. (2001). A scaled difference chi-square test statistic for moment structure analysis. Psychometrika, 66, 507–514.Google Scholar
Scarr, S., & McCartney, K. (1983). How people make their own environments: A theory of genotype → environment effects. Child Development, 54, 424–435.Google Scholar
Selzer, M. L., Vinokur, A., & van Rooijen, L. (1975). A self-administered Short Michigan Alcoholism Screening Test (SMAST). Journal of Studies on Alcohol, 36, 117–126.Google Scholar
Sher, K. J., Walitzer, K. S., Wood, P. K., & Brent, E. E. (1991). Characteristics of children of alcoholics: Putative risk factors, substance use and abuse, and psychopathology. Journal of Abnormal Psychology, 100, 427–448.Google Scholar
Skowronek, M. H., Laucht, M., Hohm, E., Becker, K., & Schmidt, M. H. (2006). Interaction between the dopamine D4 receptor and the serotonin transporter promoter polymorphisms in alcohol and tobacco use among 15-year-olds. Neurogenetics, 7, 239–246.Google Scholar
van der Zwaluw, C. S., Larsen, H., & Engels, R. C. (2012). Best friends and alcohol use in adolescence: The role of the dopamine D4 receptor gene. Addiction Biology, 17, 1036–1045.Google Scholar
Van Tol, H. H., Wu, C. M., Guan, H. C., Ohara, K., Bunzow, J. R., Civelli, O., et al. (1992). Multiple dopamine D4 receptor variants in the human population. Nature, 358, 149–152.Google Scholar
Wise, R. A. (2004). Dopamine, learning and motivation. Nature Reviews Neuroscience, 5, 483–494.Google Scholar