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Genetic and environmental risk factors in males for self-report externalizing traits in mid-adolescence and criminal behavior through young adulthood

Published online by Cambridge University Press:  01 February 2013

K. S. Kendler*
Affiliation:
Virginia Institute of Psychiatric and Behavioral Genetics, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA Department of Psychiatry, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA Department of Human and Molecular Genetics, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA
C. J. Patrick
Affiliation:
Department of Psychology, Florida State University, Tallahassee, FL, USA
H. Larsson
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden Karolinska Institute Center for Neurodevelopmental Disorders, Stockholm, Sweden
C. O. Gardner
Affiliation:
Virginia Institute of Psychiatric and Behavioral Genetics, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA Department of Psychiatry, Medical College of Virginia/Virginia Commonwealth University, Richmond, VA, USA
P. Lichtenstein
Affiliation:
Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
*
*Address for correspondence: K. S. Kendler, M.D., Virginia Institute for Psychiatric and Behavioral Genetics of VCU, Box 980126, Richmond, VA 23298-0126, USA. (Email: [email protected])

Abstract

Background

Externalizing traits or behaviors are typically assessed by self-report scales or criminal records. Few genetically informative studies have used both methods to determine whether they assess the same genetic or environmental risk factors.

Method

We examined 442 male Swedish twin pairs with self-reported externalizing behaviors at age 16–17 years [externalizing traits (EXT), self-reported delinquency (SRD), impulsivity (IMP), grandiosity (GRD) and callousness (CLS)] and criminal behavior (CB) from the National Suspect Registry from age 13 to 25 years. Multivariate structural equation modeling was conducted with Mx.

Results

The best-fit model contained one genetic, one shared environmental and two non-shared environmental common factors, and variable specific genetic and non-shared environmental factors. The risk for CB was influenced substantially by both genetic (a2 = 0.48) and familial–environmental factors (c2 = 0.22). About one-third of the genetic risk for CB but all of the shared environmental risk was indexed by the self-report measures. The degree to which the individual measures reflected genetic versus familial–environmental risks for CB varied widely. GRD and CLS were correlated with CB mainly through common genetic risk factors. SRD and CB covaried largely because of shared familial–environmental factors. For EXT and IMP, observed correlations with CB resulted in about equal parts from shared genetic and shared familial–environmental factors.

Conclusions

In adolescence, measures of grandiose and callous temperament best tap the genetic liability to CB. Measures of antisocial behaviors better index familial–environmental risks for CB. A substantial proportion of the genetic risk to CB was not well reflected in any of the self-report measures.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Achenbach, TM (1991). Manual for the Child Behavior Checklist/4-18 and 1991 Profile. Department of Psychiatry, University of Vermont: Burlington, VT.Google Scholar
Akaike, H (1987). Factor analysis and AIC. Psychometrika 52, 317332.CrossRefGoogle Scholar
Andershed, H, Kerr, M, Stattin, H, Levander, S (2002). Psychopathic traits in non-referred youths: a new assessment tool. In Psychopaths: Current International Perspectives (ed. Blaauw, E. and Sheridan, L.), pp. 131158. Elsevier: The Hague.Google Scholar
Cooke, DJ, Michie, C (2001). Refining the construct of psychopathy: towards a hierarchical model. Psychological Assessment 13, 171188.CrossRefGoogle ScholarPubMed
Cooke, DJ, Michie, C, Hart, SD, Clark, DA (2004). Reconstructing psychopathy: clarifying the significance of antisocial and socially deviant behavior in the diagnosis of psychopathic personality disorder. Journal of Personality Disorders 18, 337357.CrossRefGoogle ScholarPubMed
Eley, TC, Lichtenstein, P, Moffitt, TE (2003). A longitudinal behavioral genetic analysis of the etiology of aggressive and nonaggressive antisocial behavior. Developmental Psychopathology 15, 383402.CrossRefGoogle ScholarPubMed
Ernbo, M, Petersson, L (2011). Criminal Statistics 2010. Official Statistics of Sweden (Report 2011:11) [in Swedish]. National Council for Crime Prevention: Vasteras, Sweden.Google Scholar
Forsman, M, Lichtenstein, P, Andershed, H, Larsson, H (2008). Genetic effects explain the stability of psychopathic personality from mid- to late adolescence. Journal of Abnormal Psychology 117, 606617.CrossRefGoogle ScholarPubMed
Forsman, M, Lichtenstein, P, Andershed, H, Larsson, H (2010). A longitudinal twin study of the direction of effects between psychopathic personality and antisocial behaviour. Journal of Child Psychology and Psychiatry 51, 3947.CrossRefGoogle ScholarPubMed
Frisell, T, Lichtenstein, P, Langstrom, N (2011). Violent crime runs in families: a total population study of 12.5 million individuals. Psychological Medicine 41, 97105.CrossRefGoogle ScholarPubMed
Frisell, T, Pawitan, Y, Langstrom, N, Lichtenstein, P (2012). Heritability, assortative mating and gender differences in violent crime: results from a total population sample using twin, adoption, and sibling models. Behavior Genetics 42, 318.CrossRefGoogle ScholarPubMed
Guerrini, I, Cook, CC, Kest, W, Devitgh, A, McQuillin, A, Curtis, D, Gurling, HM (2005). Genetic linkage analysis supports the presence of two susceptibility loci for alcoholism and heavy drinking on chromosome 1p22.1–11.2 and 1q21.3–24.2. BMC Genetics 6, 11.CrossRefGoogle Scholar
Hare, RD (2003). The Hare Psychopathy Checklist – Revised, 2nd edn. Multi-Health Systems: Toronto, ON.Google Scholar
Junger-Tas, J, Terlouw, G-J, Klein, MW (eds) (1994). Delinquent Behavior Among Young People in the Western World. Kugler Publications: Amsterdam.Google Scholar
Krueger, RF, Hicks, BM, Patrick, CJ, Carlson, SR, Iacono, WG, McGue, M (2002). Etiologic connections among substance dependence, antisocial behavior, and personality: modeling the externalizing spectrum. Journal of Abnormal Psychology 111, 411424.CrossRefGoogle ScholarPubMed
Krueger, RF, Markon, KE, Patrick, CJ, Benning, SD, Kramer, MD (2007). Linking antisocial behavior, substance use, and personality: an integrative quantitative model of the adult externalizing spectrum. Journal of Abnormal Psychology 116, 645666.CrossRefGoogle ScholarPubMed
Larsson, H, Andershed, H, Lichtenstein, P (2006). A genetic factor explains most of the variation in the psychopathic personality. Journal of Abnormal Psychology 115, 221230.CrossRefGoogle ScholarPubMed
Lichtenstein, P, Tuvblad, C, Larsson, H, Carlstrom, E (2007). The Swedish Twin study of CHild and Adolescent Development: the TCHAD-Study. Twin Research and Human Genetics 10, 6773.CrossRefGoogle ScholarPubMed
Neale, MC, Boker, SM, Xie, G, Maes, HH (2003). Mx: Statistical Modeling, 6th edn.Department of Psychiatry, Virginia Commonwealth University Medical School: Box 980126, Richmond, VA 23298.Google Scholar
Rhee, SH, Waldman, ID (2002). Genetic and environmental influences on antisocial behavior: a meta-analysis of twin and adoption studies. Psychological Bulletin 128, 490529.CrossRefGoogle ScholarPubMed
SAS Institute (2005). SAS Software Version 9.1.3. SAS Institute Inc.: Cary, NC.Google Scholar
Sher, KJ, Trull, TJ (1994). Personality and disinhibitory psychopathology: alcoholism and antisocial personality disorder. Journal of Abnormal Psychology 103, 92102.CrossRefGoogle ScholarPubMed
Tavakol, M, Dennick, R (2011). Making sense of Cronbach's alpha. International Journal of Medical Education 2, 5355.CrossRefGoogle ScholarPubMed
Tuvblad, C, Eley, TC, Lichtenstein, P (2005). The development of antisocial behaviour from childhood to adolescence. A longitudinal twin study. European Child and Adolescent Psychiatry 14, 216225.CrossRefGoogle ScholarPubMed
Williams, L, Holahan, P (1994). Parsimony-based fit indices for multiple-indicator models: do they work? Structural Equation Modeling 1, 161189.CrossRefGoogle Scholar