Skip to main content
Log in

Measurement of the Risk for Substance Use Disorders: Phenotypic and Genetic Analysis of an Index of Common Liability

  • Original Research
  • Published:
Behavior Genetics Aims and scope Submit manuscript

An Erratum to this article was published on 02 August 2009

Abstract

The inability to quantify the risk for disorders, such as substance use disorders (SUD), hinders etiology research and development of targeted intervention. Based on the concept of common transmissible liability to SUD related to illicit drugs, a method enabling quantification of this latent trait has been developed, utilizing high-risk design and item response theory. This study examined properties of a SUD transmissible liability index (TLI) derived using this method. Sons of males with or without SUD were studied longitudinally from preadolescence to young adulthood. The properties of TLI, including its psychometric characteristics, longitudinal risk assessment and ethnic variation, were examined. A pilot twin study was conducted to analyze the composition of TLI’s phenotypic variance. The data suggest that TLI has concurrent, incremental, predictive and discriminant validity, as well as ethnic differences. The data suggest a high heritability of the index in males. The results suggest applicability of the method for genetic and other etiology-related research, and for evaluation of individual risk.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Achenbach TM (1991) Manual for the teacher’s report form and 1991 profile. University of Vermont Department of Psychiatry, Burlington

    Google Scholar 

  • Achenbach TM, Edelbrock C (1983) Manual for the child behavior checklist and revised child behavior profile. T.M. Achenbach, Burlington

  • Button TM, Hewitt JK, Rhee SH, Young SE, Corley RP, Stallings MC (2006) Examination of the causes of covariation between conduct disorder symptoms and vulnerability to drug dependence. Twin Res Hum Genet 9:38–45. doi:10.1375/twin.9.1.38

    Article  PubMed  Google Scholar 

  • Conners CK (1969) A teacher rating scale for use in drug studies with children. Am J Psychiatry 126:152–156

    Google Scholar 

  • Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. Chapman & Hall, New York

    Google Scholar 

  • Embretson SE, Reise SP (2000) Item response theory for psychologists. Lawrence Erlbaum Associates Inc., Mahwah

    Google Scholar 

  • Falconer DS (1965) The inheritance of liability to certain diseases, estimated from the incidence among relatives. Ann Hum Genet 29:51–76. doi:10.1111/j.1469-1809.1965.tb00500.x

    Article  Google Scholar 

  • Jenkins EA, Maher BS, Marazita ML, Tarter R, Ganger JB, Watt-Morse M, Vanyukov MM (2006) Pittsburgh registry of infant multiplets (PRIM): an update. Twin Res Hum Genet 9:1006–1008

    Article  PubMed  Google Scholar 

  • Kandel D (1975) Stages in adolescent involvement in drug use. Science 190:912–914. doi:10.1126/science.1188374

    Article  PubMed  Google Scholar 

  • Kendler KS, Jacobson KC, Prescott CA, Neale MC (2003a) Specificity of genetic and environmental risk factors for use and abuse/dependence of cannabis, cocaine, hallucinogens, sedatives, stimulants, and opiates in male twins. Am J Psychiatry 160:687–695. doi:10.1176/appi.ajp.160.4.687

    Article  PubMed  Google Scholar 

  • Kendler KS, Prescott CA, Myers J, Neale MC (2003b) The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Arch Gen Psychiatry 60:929–937. doi:10.1001/archpsyc.60.9.929

    Article  PubMed  Google Scholar 

  • Kendler KS, Myers J, Prescott CA (2007) Specificity of genetic and environmental risk factors for symptoms of cannabis, cocaine, alcohol, caffeine, and nicotine dependence. Arch Gen Psychiatry 64:1313–1320. doi:10.1001/archpsyc.64.11.1313

    Article  PubMed  Google Scholar 

  • Kirisci L, Vanyukov M, Dunn M, Tarter R (2002) Item response theory modeling of substance use: an index based on 10 drug categories. Psychol Addict Behav 16:290–298. doi:10.1037/0893-164X.16.4.290

    Article  PubMed  Google Scholar 

  • Kirisci L, Tarter RE, Reynolds M, Vanyukov M (2006) Individual differences in childhood neurobehavior disinhibition predict decision to desist substance use during adolescence and substance use disorder in young adulthood: a prospective study. Addict Behav 31:686–696. doi:10.1016/j.addbeh.2005.05.049

    Article  PubMed  Google Scholar 

  • Kirisci L, Tarter R, Mezzich A, Ridenour T, Reynolds M, Vanyukov M (2009) Prediction of cannabis use disorder between boyhood and young adulthood: clarifying the phenotype and environtype. Am J Addict 18:36–47. doi:10.1080/10550490802408829

    Article  PubMed  Google Scholar 

  • Kosten TA, Rounsaville BJ (1992) Sensitivity of psychiatric diagnosis based on the best estimate procedure. Am J Psychiatry 149:1225–1227

    PubMed  Google Scholar 

  • Lerner RM, Palermo M, Spiro A, Nesselroade AL (1982) Assessing the dimensions of temperamental individuality across the life span: the dimensions of temperament survey. Child Dev 53:149–157

    Article  Google Scholar 

  • Merikangas KR, Stolar M, Stevens DE, Goulet J, Preisig MA, Fenton B, Zhang H, O’Malley SS, Rounsaville BJ (1998) Familial transmission of substance use disorders. Arch Gen Psychiatry 55:973–979. doi:10.1001/archpsyc.55.11.973

    Article  PubMed  Google Scholar 

  • Mezzich AC, Tarter RE, Giancola PR, Kirisci L (2001) The dysregulation inventory: a new scale to assess the risk for substance use disorder. J Child Adolesc Subst Abuse 10:35–43

    Article  Google Scholar 

  • Neale MC, Cardon LR (1992) Methodology for genetic studies of twins and families. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  • Neale MC, Boker SM, Xie G, Maes HH (2003) Mx: statistical modeling 6th edn. VCU Box 900126, Richmond, VA 23298: Department of Psychiatry

  • Nichols RC, Bilbro WC (1966) Diagnosis of twin zygosity. Acta Genet Stat Med 16:265–275

    PubMed  Google Scholar 

  • Nunnally JC, Bernstein IH (1994) Psychometric theory, 3rd edn. McGraw-Hill, New York

    Google Scholar 

  • Orvaschel H, Puig-Antich J (1987) Schedule for affective disorder and schizophrenia for school age children, epidemiological version: Kiddie-SADS-E (K-SADS-E), 4th edn. Western Psychiatric Institute and Clinic, Pittsburgh

    Google Scholar 

  • Orvaschel H, Puig-Antich J, Chambers W, Tabrizi MA, Johnson R (1982) Retrospective assessment of prepubertal major depression with the Kiddie-SADS-E. J Am Acad Child Psychiatry 21:392–397

    Article  PubMed  Google Scholar 

  • Pelham WE, Gnagy EM, Greenslade KE, Milich R (1992) Teacher ratings of DSM-III-R symptoms for the disruptive behavior disorders. J Am Acad Child Adol Psychiatry 31:210–218

    Article  Google Scholar 

  • Rice JP, Cloninger CR, Reich T (1980) General causal models for sex differences in the familial transmission of multifactorial traits: an application to human spatial visualizing ability. Soc Biol 26:36–47

    Google Scholar 

  • Spitzer R, Williams J, Miriam G (1987) Instruction manual for the structured clinical interview for DSM-III-R. New State Psychiatric Institute, New York

    Google Scholar 

  • Strassberg M, Peters K, Marazita M, Ganger J, Watt-Morse M, Tarter R, Murrelle L, Vanyukov M (2002) Pittsburgh registry of infant multiplets (PRIM). Twin Res 5:499–501

    Article  PubMed  Google Scholar 

  • Tarter RE, Vanyukov MM (2001) Theoretical and operational framework for research into the etiology of substance use disorders. J Child Adolesc Subst Abuse 10:1–12. doi:10.1300/J029v10n04_01

    Article  Google Scholar 

  • Tarter R, McBride H, Buonpane N, Schneider D (1977) Differentiation of alcoholics: childhood history of minimal brain dysfunction, family history and drinking pattern. Arch Gen Psychiatry 34:761–768

    PubMed  Google Scholar 

  • Tarter RE, Vanyukov M, Kirisci L, Reynolds M, Clark DB (2006) Predictors of marijuana use in adolescents before and after licit drug use: examination of the gateway hypothesis. Am J Psychiatry 163:2134–2140. doi:10.1176/appi.ajp.163.12.2134

    Article  PubMed  Google Scholar 

  • Tsuang MT, Lyons MJ, Meyer JM, Doyle T, Eisen SA, Goldberg J, True W, Lin N, Toomey R, Eaves L (1998) Co-occurrence of abuse of different drugs in men: the role of drug-specific and shared vulnerabilities. Arch Gen Psychiatry 55:967–972. doi:10.1001/archpsyc.55.11.967

    Article  PubMed  Google Scholar 

  • Vanyukov MM, Tarter RE (2000) Genetic studies of substance abuse. Drug Alcohol Depend 59:101–123. doi:10.1016/S0376-8716(99)00109-X

    Article  PubMed  Google Scholar 

  • Vanyukov MM, Kirisci L, Tarter RE, Simkevitz HF, Kirillova GP, Maher BS, Clark DB (2003a) Liability to substance use disorders: 2. A measurement approach. Neurosci Biobehav Rev 27:517–526. doi:10.1016/j.neubiorev.2003.08.003

    Article  PubMed  Google Scholar 

  • Vanyukov M, Moss H, Tarter R (2003b) Research designs in family studies. In: Sloboda Z, Bukowski WJ (eds) Handbook of drug abuse prevention: theory science and practice. Kluwer Academic/Plenum Publishers, New York, pp 497–519

    Google Scholar 

  • Vanyukov MM, Tarter RE, Kirisci L, Kirillova GP, Maher BS, Clark DB (2003c) Liability to substance use disorders: 1. Common mechanisms and manifestations. Neurosci Biobehav Rev 27:507–515. doi:10.1016/j.neubiorev.2003.08.002

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors are indebted to the staff of the Center for Education and Drug Abuse Research, University of Pittsburgh, for their effort and dedication. This study was supported by the National Institute on Drug Abuse grants P50DA005605, R01DA011922, R01DA019157, K02DA018701, K02DA017822, and the National Institute on Alcohol Abuse and Alcoholism grant K02AA00296

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael M. Vanyukov.

Additional information

Handling editor: Michael Joseph Lyons.

An erratum to this article can be found at http://dx.doi.org/10.1007/s10519-009-9292-x

Appendix

Appendix

See Table 5.

Table 5 Liability index items

Rights and permissions

Reprints and permissions

About this article

Cite this article

Vanyukov, M.M., Kirisci, L., Moss, L. et al. Measurement of the Risk for Substance Use Disorders: Phenotypic and Genetic Analysis of an Index of Common Liability. Behav Genet 39, 233–244 (2009). https://doi.org/10.1007/s10519-009-9269-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10519-009-9269-9

Keywords

Navigation