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Developmental pathways from child maltreatment to adolescent marijuana dependence: Examining moderation by FK506 binding protein 5 gene (FKBP5)

Published online by Cambridge University Press:  04 November 2015

Elizabeth D. Handley ,
Fred A. Rogosch  and
Dante Cicchetti
Elizabeth D. Handley*
Affiliation:
University of Rochester Mt. Hope Family Center
Fred A. Rogosch
Affiliation:
University of Rochester Mt. Hope Family Center
Dante Cicchetti
Affiliation:
University of Rochester Mt. Hope Family Center University of Minnesota Institute of Child Development
*
Address correspondence and reprint requests to: Elizabeth Handley, Mt. Hope Family Center, 187 Edinburgh Street, Rochester, NY 14608. E-mail: [email protected].
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Abstract

The current study examined the prospective association between child maltreatment and the development of substance use disorder in adolescence with the aim of investigating pathways underlying this relation, as well as genetic moderation of these developmental mechanisms. Specifically, we tested whether youth who experienced maltreatment prior to age 8 were at risk for the development of marijuana dependence in adolescence by way of a childhood externalizing pathway and a childhood internalizing pathway. Moreover, we tested whether variation in FK506 binding protein 5 gene (FKBP5) CATT haplotype moderated these pathways. The participants were 326 children (n =179 maltreated; n = 147 nonmaltreated) assessed across two waves of data collection (childhood: ages 7–9 and adolescence: ages 15–18). Results indicated that higher levels of child externalizing symptoms significantly mediated the effect of child maltreatment on adolescent marijuana dependence symptoms for individuals with one or two copies of the FKBP5 CATT haplotype only. We did not find support for an internalizing pathway from child maltreatment to adolescent marijuana dependence, nor did we find evidence of moderation of the internalizing pathway by FKBP5 haplotype variation. Findings extend previous research by demonstrating that whether a maltreated child will traverse an externalizing pathway toward substance use disorder in adolescence is dependent on FKBP5 genetic variation.

Type
Regular Articles
Information
Development and Psychopathology , Volume 27 , Special Issue 4pt2: Multilevel Developmental Perspectives on Child Maltreatment , November 2015 , pp. 1489 - 1502
Copyright
Copyright © Cambridge University Press 2015 

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References

Achenbach, T. (1991). Manual for the Teacher Report Form and 1991 profile. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Appel, K., Schwahn, C., Mahler, J., Schulz, A., Spitzer, C., Fenske, K., et al. (2011). Moderation of adult depression by a polymorphism in the FKBP5 gene and childhood physical abuse in the general population. Neuropsychopharmacology, 36, 1982–1991.Google Scholar
Banny, A. M., Cicchetti, D., Rogosch, F. A., Oshri, A., & Crick, N. R. (2013). Vulnerability to depression: A moderated mediation model of the roles of child maltreatment, peer victimization, and serotonin transporter linked polymorphic region genetic variation among children from low socioeconomic status backgrounds. Development and Psychopathology, 25, 599–614.Google Scholar
Barnett, D., Manly, J. T., & Cicchetti, D. (1993). Defining child maltreatment: The interface between policy and research. In Cicchetti, D. & Toth, S. L. (Eds.), Child abuse, child development, and social policy (pp. 7–74). Norwood, NJ: Ablex.Google Scholar
Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., Ahluvalia, T., et al. (2003). Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse & Neglect, 27, 169–190.Google Scholar
Bevilacqua, L., Carli, V., Sarchiapone, M., George, D. K., Goldman, D., Roy, A., et al. (2012). Interaction between FKBP5 and childhood trauma and risk of aggressive behavior. Archives of General Psychiatry, 69, 62–70.Google Scholar
Binder, E. B., Bradley, R. G., Liu, W., Epstein, M. P., Deveau, T. C., Mercer, K. B., et al. (2008). Association of FKBP5 polymorphisms and childhood abuse with risk of posttraumatic stress disorder symptoms in adults. Journal of the American Medical Association, 299, 1291–1305.Google Scholar
Binder, E. B., Salyakina, D., Lichtner, P., Wochnik, G. M., Ising, M., Pütz, B., et al. (2004). Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment. Nature Genetics, 36, 1319–1325.Google Scholar
Bolger, K. E., & Patterson, C. J. (2001). Developmental pathways from child maltreatment to peer rejection. Child Development, 72, 549–568.Google Scholar
Brodsky, B. S., Oquendo, M., Ellis, S. P., Haas, G. L., Malone, K. M., & Mann, J. J. (2001). The relationship of childhood abuse to impulsivity and suicidal behavior in adults with major depression. American Journal of Psychiatry, 158, 1871–1877.Google Scholar
Buchmann, A. F., Holz, N., Boecker, R., Blomeyer, D., Rietschel, M., Witt, S. H., et al. (2014). Moderating role of FKBP5 genotype in the impact of childhood adversity on cortisol stress response during adulthood. European Neuropsychopharmacology, 24, 837–845.Google Scholar
Buckingham, E. T., & Daniolos, P. (2013). Longitudinal outcomes for victims of child abuse. Current Psychiatry Reports, 15, 342.Google Scholar
Chassin, L., Hussong, A., & Beltran, I. (2009). Adolescent substance use. In Lerner, R. M. & Steinberg, L. (Eds.), Handbook of adolescent psychology: Vol. 1. Individual bases of adolescent development (3rd ed.). Hoboken, NJ: Wiley.Google Scholar
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, 1567–1584.Google Scholar
Cicchetti, D., & Dawson, G. (2002). Multiple levels of analysis. Development and Psychopathology, 14, 417–420.Google Scholar
Cicchetti, D., & Manly, J. T. (1990). A personal perspective on conducting research with maltreating families: Problems and solutions. In Brody, G. & Sigel, I. (Eds.), Methods of family research: Families at risk (Vol. 2, pp. 87–133). Hillsdale, NJ: Erlbaum.Google Scholar
Cicchetti, D., & Rogosch, F. A. (1996). Equifinality and multifinality in developmental psychopathology. Development and Psychopathology, 8, 597–600.Google Scholar
Cicchetti, D., & Toth, S. L. (2009). The past achievements and future promises of developmental psychopathology: The coming of age of a discipline. Journal of Child Psychology and Psychiatry, 50, 16–25.Google Scholar
Cicchetti, D., & Toth, S. L. (in press). A multilevel perspective on child maltreatment. In Lamb, M. & Garcia Coll, C. (Eds.), Handbook of child psychology and developmental science: Vol. 3. Socioemotional process (7th ed.). New York: Wiley.Google Scholar
Coie, J. D., & Dodge, K. A. (1983). Continuities and changes in children's social status: A five-year longitudinal study. Merrill–Palmer Quarterly, 29, 261–282.Google Scholar
Costello, E. J. (2007). Psychiatric predictors of adolescent and young adult drug use and abuse: What have we learned? Drug and Alcohol Dependence, 88S, S97–S99.Google Scholar
Dackis, M. N., Rogosch, F. A., Oshri, A., & Cicchetti, D. (2012). The role of limbic system irritability in linking history of childhood maltreatment and psychiatric outcomes in low-income, high-risk women: Moderation by FK506 binding protein 5 haplotype. Development and Psychopathology, 24, 1237–1252.Google Scholar
Dahne, J., Banducci, A. N., Kurdziel, G., & MacPherson, L. (2014). Early adolescent symptoms of social phobia prospectively predict alcohol use. Journal of Studies on Alcohol and Drugs, 75, 929.Google Scholar
Dick, D. (2011). Developmental changes in genetic influences on alcohol use and dependence. Child Development Perspectives, 5, 223–230.Google Scholar
Dube, S. R., Felitti, V. J., Dong, M., Chapman, D. P., Giles, W. H., & Anda, R. F. (2003). Childhood abuse, neglect, and household dysfunction and the risk for illicit drug use: The adverse childhood experiences study. Pediatrics, 111, 564–572.Google Scholar
Edwards, A. C., Latendresse, S. J., Heron, J., Cho, S. B., Hickman, M., Lewis, G., et al. (2014). Childhood internalizing symptoms are negatively associated with early adolescent alcohol use. Alcoholism: Clinical and Experimental Research, 38, 1680–1688.Google Scholar
Englund, M. M., & Siebenbruner, J. (2012). Developmental pathways linking externalizing symptoms, internalizing symptoms, and academic competence to adolescent substance use. Journal of Adolescence, 35, 1123–1140.Google Scholar
Enoch, M. (2012). The influence of gene-environment interactions on the development of alcoholism and drug dependence. Current Psychiatry Reports, 14, 150–158.Google Scholar
Excoffier, L., & Lischer, H. E. L. (2010). Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Molecular Ecology Resources, 10, 564–567.Google Scholar
Falush, D., Stephens, M., & Pritchard, J. K. (2003). Inference of population structure using multilocus genotype data: Linked loci and correlated allele frequencies. Genetics, 164, 1567–1587.Google Scholar
Falush, D., Stephens, M., & Pritchard, J. K. (2007). Inference of population structure using multilocus genotype data: Dominant markers and null alleles. Molecular Ecology Notes, 7, 574–578.Google Scholar
Fisher, P., Shaffer, D., Piacentini, J., Lapkin, J., Kafantaris, V., Leonard, H., et al. (1993). Sensitivity of the Diagnostic Interview Schedule for Children (2nd ed., DISC-2.1) for specific diagnoses of children and adolescents. Journal of the American Academy of Child & Adolescent Psychiatry, 32, 666–673.Google Scholar
Green, K. M., Doherty, E. E., Reisinger, H. S., Chilcoat, H. D., & Ensminger, M. (2010). Social integration in young adulthood and the subsequent onset of substance use and disorders among a community population of urban African Americans. Addiction, 105, 484–493.Google Scholar
Green, K. M., & Ensminger, M. E. (2006). Adult social behavioral effects of heavy adolescent marijuana use among African Americans. Developmental Psychology, 42, 1168–1178.Google Scholar
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.Google Scholar
Huang, S., Trapido, E., Fleming, L., Arheart, K., Crandall, L., French, M., et al. (2011). The long-term effects of childhood maltreatment experiences on subsequent illicit drug use and drug-related problems in young adulthood. Addictive Behaviors, 36, 95–102.Google Scholar
Hubisz, M. J., Falush, D., Stephens, M., & Pritchard, J. K. (2009). Inferring weak population structure with the assistance of sample group information. Molecular Ecology Resources, 9, 1322–1332.Google Scholar
Hussong, A. M., Jones, D. J., Stein, G. L., Baucom, D. H., & Boeding, S. (2011). An internalizing pathway to alcohol use and disorder. Psychology of Addictive Behaviors, 25, 390–404.Google Scholar
Johnston, L. D., O'Malley, P. M., Miech, R. A., Bachman, J. G., & Schulenberg, J. E. (2014). Monitoring the Future national results on drug use, 1975–2013: Overview, key findings on adolescent drug use. Ann Arbor, MI: University of Michigan, Institute for Social Research.Google 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
Kim, J., & Cicchetti, D. (2010). Longitudinal pathways linking child maltreatment, emotion regulation, peer relations, and psychopathology. Journal of Child Psychology and Psychiatry, 51, 706–716.Google Scholar
Kim, J., Cicchetti, D., Rogosch, F. A., & Manly, J. T. (2009). Child maltreatment and trajectories of personality and behavioral functioning: Implications for the development of personality disorder. Development and Psychopathology, 21, 889–912.Google Scholar
King, S. M., Iacono, W. G., & McGue, M. (2004). Childhood externalizing and internalizing psychopathology in the prediction of early substance use. Addiction, 99, 1548–1559.Google Scholar
Lai, C. Q., Tucker, K. L., Choudhry, S., Parnell, L. D., Mattei, J., García-Bailo, B., et al. (2009). Population admixture associated with disease prevalence in the Boston Puerto Rican health study. Human Genetics, 125, 199–209.Google Scholar
Lansford, J. E., Dodge, K. A., Pettit, G. S., Bates, J. E., Crozier, J., & Kaplow, J. (2002). A 12-year prospective study of the long-term effects of early child physical maltreatment on psychological, behavioral, and academic problems in adolescence. Archives of Pediatrics & Adolescent Medicine, 156, 824–830.Google Scholar
Lynskey, M., & Hall, W. (2000). The effects of adolescent cannabis use on educational attainment: A review. Addiction, 95, 1621–1630.Google Scholar
Maniglio, R. (2010). Child sexual abuse in the etiology of depression: A systematic review of reviews. Depression and Anxiety, 27, 631–642.Google Scholar
Manly, J. T. (2005). Advances in research definitions of child maltreatment. Child Abuse & Neglect, 29, 425–439.Google Scholar
Manly, J. T., Cicchetti, D., & Barnett, D. (1994). The impact of subtype, frequency, chronicity, and severity of child maltreatment on social competence and behavior problems. Development and Psychopathology, 6, 121–143.Google Scholar
Manly, J. T., Kim, J. E., Rogosch, F. A., & Cicchetti, D. (2001). Dimensions of child maltreatment and children's adjustment: Contributions of developmental timing and subtype. Development and Psychopathology, 13, 759–782.Google Scholar
McCarty, C. A., Wymbs, B. T., King, K. M., Mason, W. A., Stoep, A. V., McCauley, E., et al. (2012). Developmental consistency in associations between depressive symptoms and alcohol use in early adolescence. Journal of Studies on Alcohol and Drugs, 73, 444.Google Scholar
Meier, M. H., Caspi, A., Ambler, A., Harrington, H., Houts, R., Keefe, R. S., et al. (2012). Persistent cannabis users show neuropsychological decline from childhood to midlife. Proceedings of the National Academy of Sciences, 109, E2657–E2664.Google Scholar
Merikangas, K. R., He, J., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., et al. (2010). Lifetime prevalence of mental disorders in U.S. adolescents: Results from the National Comorbidity Survey Replication—Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 49, 980–989.Google Scholar
Moffitt, T. E., Caspi, A., & Rutter, M. (2005). Strategy for investigating interactions between measured genes and measured environments. Archives of General Psychiatry, 62, 473–481.Google Scholar
Moran, P. B., Vuchinich, S., & Hall, N. K. (2004). Associations between types of maltreatment and substance use during adolescence. Child Abuse & Neglect, 28, 565–574.CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user's guide (7th ed.). Los Angeles: Author.Google Scholar
Oshri, A., Rogosch, F. A., Burnette, M. L., & Cicchetti, D. (2011). Developmental pathways to adolescent cannabis abuse and dependence: Child maltreatment, emerging personality, and internalizing versus externalizing psychopathology. Psychology of Addictive Behaviors, 25, 634.Google Scholar
Oshri, A., Rogosch, F. A., & Cicchetti, D. (2013). Child maltreatment and mediating influences of childhood personality types on the development of adolescent psychopathology. Journal of Clinical Child & Adolescent Psychology, 42, 287–301.Google Scholar
Pekarkik, E., Prinz, R., Liebert, D., Weintraub, S., & Neale, J. (1976). The Pupil Evaluation Inventory: A sociometric technique for assessing children's social behavior. Journal of Abnormal Child Psychology, 4, 83–97.Google Scholar
Piacentini, J., Shaffer, D., Fisher, P., Schwab-Stone, M., Davies, M., & Goia, P. (1993). The Diagnostic Interview Schedule for Children—Revised (DISC-R): III. Concurrent criterion validity. Journal of the American Academy of Child & Adolescent Psychiatry, 32, 658–665.Google Scholar
Rogosch, F. A., Cicchetti, D., Shields, A., & Toth, S. L. (1995). Parenting dysfunction in child maltreatment. In Bornstein, M. H. (Ed.), Handbook of parenting (Vol. 4, pp. 127–159). Hillsdale, NJ: Erlbaum.Google Scholar
Rogosch, F. A., Oshri, A., & Cicchetti, D. (2010). From child maltreatment to adolescent cannabis abuse and dependence: A developmental cascade model. Development and Psychopathology, 22, 883–897.Google Scholar
Roy, A., Gorodetsky, E., Yuan, Q., Goldman, D., & Enoch, M. A. (2010). Interaction of FKBP5, a stress-related gene, with childhood trauma increases the risk for attempting suicide. Neuropsychopharmacology, 35, 1674–1683.Google Scholar
Roy, A., Hodgkinson, C. A., DeLuca, V., Goldman, D., & Enoch, M. A. (2012). Two HPA axis genes, CRHBP and FKBP5, interact with childhood trauma to increase the risk for suicidal behavior. Journal of Psychiatric Research, 46, 72–79.Google Scholar
Scott, K. M., Smith, D. R., & Ellis, P. M. (2010). Prospectively ascertained child maltreatment and its association with DSM-IV mental disorders in young adults. Archives of General Psychiatry, 67, 712–719.Google Scholar
Sedlak, A. J., Mettenburg, J., Basena, M., Petta, I., McPherson, K., & Greene, A. (2010). Fourth National Incidence Study of Child Abuse and Neglect (NIS-4): Report to Congress. Washington, DC: US Department of Health and Human Services, Administration for Children, Youth and Families.Google Scholar
Shaffer, D., Schwab-Stone, M., Fisher, P., Cohen, P., Piacentini, J., Davies, M., et al. (1993). The Diagnostic Interview Schedule for Children—Revised (DISC-R): I. Preparation, field testing, and interrater reliability. Journal of the American Academy of Child & Adolescent Psychiatry, 32, 643–650.Google Scholar
Sher, K. J. (1991). Children of alcoholics: A critical appraisal of theory and research. Chicago, IL: University of Chicago Press.Google Scholar
Shields, A., & Cicchetti, D. (2001). Parental maltreatment and emotion dysregulation as risk factors for bullying and victimization in middle childhood. Journal of Clinical Child Psychology, 30, 349–363.Google Scholar
Shin, S. H. (2012). A longitudinal examination of the relationships between childhood maltreatment and patterns of adolescent substance use among high-risk adolescents. American Journal on Addictions, 21, 453–461.Google Scholar
Shin, S. H., Hong, H. G., & Hazen, A. L. (2010). Childhood sexual abuse and adolescent substance use: A latent class analysis. Drug and Alcohol Dependence, 109, 226–235.Google Scholar
Stouthamer-Loeber, M., Loeber, R., Homish, D. L, & Wei, E. (2001). Maltreatment of boys and the development of disruptive and delinquent behavior. Development and Psychopathology, 13, 941–955.Google Scholar
Tarter, R. E., Kirisci, L., Ridenour, T., & Vanyukov, M. (2008). Prediction of cannabis use disorder between childhood and young adulthood using the child behavior checklist. Journal of Psychopathology and Behavioral Assessment, 30, 272–278.Google Scholar
Tofighi, D., & MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692–700.Google Scholar
Vilhena-Churchill, N., & Goldstein, A. L. (2014). Child maltreatment and marijuana problems in young adults: Examining the role of motives and emotion dysregulation. Child Abuse and Neglect, 38, 962–972.CrossRefGoogle ScholarPubMed
Xie, P., Kranzler, H. R., Poling, J., Stein, M. B., Anton, R. F., Farrer, L. A., et al. (2010). Interaction of FKBP5 with childhood adversity on risk for post-traumatic stress disorder. Neuropsychopharmacology, 35, 1684–1692.Google Scholar
Yaeger, R., Avila-Bront, A., Abdul, K., Nolan, P. C., Grann, V. R., Birchette, M. G., et al. (2008). Comparing genetic ancestry and self-described race in African Americans born in the United States and in Africa. Cancer Epidemiology Biomarkers & Prevention, 17, 1329–1338.Google Scholar
Yu, C. Y., & Muthén, B. O. (2002). Evaluation of model fit indices for latent variable models with categorical and continuous outcomes (Technical Report) . Los Angeles: University of California at Los Angeles, Graduate School of Education and Information Studies.Google Scholar
Zannas, A. S., & Binder, E. B. (2014). Gene–environment interactions at the FKBP5 locus: Sensitive periods, mechanisms and pleiotropism. Genes, Brain, and Behavior, 13, 25–37.Google Scholar
Zucker, R. A., Heitzeg, M. M., & Nigg, J. T. (2011). Parsing the undercontrol-disinhibition pathway to substance use disorders: A multilevel developmental problem. Child Development Perspectives, 5, 248–255.Google Scholar