Longitudinal Modeling of Transmissible Risk in Boys Who Subsequently Develop Cannabis Use Disorder

REFERENCES

• Vanyukov M, Kirisci L, Moss H, Tarter R, Reynolds M, Maher B, Kirillova G, Ridenour T, Clark D. Measurement of the risk for substance use disorders. Phenotypic and genetic analysis of an index of common liability. Behav Genet 2009; 39:233–244.
   PubMed Web of Science ®Google Scholar
• Falconer DS. The inheritance of liability to certain diseases estimated from the incidence among relatives. Ann Hum Genet 1965; 29:51–76.
   Web of Science ®Google Scholar
• Vanyukov M, Tarter R, Kirisci L, Kirillova G, Maher B, Clark D. Liability to substance use disorders. 1. Common mechanisms and manifestations. Neurosci Biobehav Rev 2003a; 27:507–515.
   PubMed Web of Science ®Google Scholar
• Vanyukov MM, Kirisci L, Tarter RE, Simkevitz HF, Kirillova GP, Maher BS, Clark DB. Liability to substance use disorders: 2. A measurement approachNeurosci Biobehav Rev 2003b; 27:517–526.
   PubMed Web of Science ®Google Scholar
• Vanyukov MM, Tarter RE, Kirillova GP, Kirisci L, Reynolds MD, Kreek MJ, Conway KP, Maher B, Iacono W, Bierut L, Neale MC, Clark D, Ridenour TA. Common liability to addiction and “gateway hypothesis”: Theoretical, empirical and evolutionary perspective. Drug Alcohol Depend 2012; 123(supplement):S3–S17.
   Google Scholar
• Kendler KS, Jacobson KC, Prescott CA, Neale MC. 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 2003a; 160:687–695.
   PubMed Web of Science ®Google Scholar
• Kendler KS, Prescott CA, Myers J, Neale MC. The structure of genetic and environment risk factors for common psychiatric and substance use disorders in men and women. Arch Gen Psychiatry 2003b; 60:929–937.
   PubMed Web of Science ®Google Scholar
• Tsuang MT, Lyons MJ, Meyer JM, Doyle T, Eisen SA, Goldberg J, True W, Lin N, Toomey R, Eaves L. Co-occurrence of abuse of different drugs in men: The role of drug-specific and shared vulnerabilities. Arch Gen Psychiatry 1998; 55:967–972.
   PubMed Web of Science ®Google Scholar
• Kirisci L, Tarter R, Vanyukov M, Martin C, Mezzich A, Brown S. Application of item response theory to quantify substance use disorder severity. Addict Behav 2006; 31:1035–1049.
   PubMed Web of Science ®Google Scholar
• Hicks BM, Iacono WG, McGue M. Index of the transmissible common liability to addiction: Heritability and prospective associations with substance abuse and related outcomes. Drug Alcohol Depend 2012; 123:S18–S23.
   PubMed Web of Science ®Google Scholar
• Hall W, Degenhardt L, Teeson M. Understanding comorbidity between substance use, anxiety and affective disorders: Broadening the research base. Addict Behav 2009; 34:526–530.
   PubMed Web of Science ®Google Scholar
• Lopez B, Turner RJ, Saavedra LM. Anxiety and risk for substance dependence among late adolescents/young adults. J Anxiety Disord 2005; 19:275–294.
   PubMed Web of Science ®Google Scholar
• O’Neil KA, Conner BT, Kendall PC. Internalizing disorders and substance use disorders in youth: Comorbidity, risk, temporal order, and implications for intervention. Clin Psychol Rev 2011; 31:104–112.
   PubMed Web of Science ®Google Scholar
• Preuss UW, Schuckit MA, Smith TL, Barnow S, Danko GP. Mood and anxiety symptoms among 140 children from alcoholic and control families. Drug Alcohol Depend 2002; 67:235–242.
   PubMed Web of Science ®Google Scholar
• Wu L-T, Gersing K, Burchett B, Woody GE, Blazer DG. Substance use disorders and comorbid Axis I and II psychiatric disorders among young psychiatric patients: Findings from a large electronic health records database. J Psychiatr Res 2011; 45:1453–1462.
   PubMed Web of Science ®Google Scholar
• Tarter R, Horner M, Ridenour T. Developmental perspective of substance use disorder etiology. In Addiction Syndrome Handbook. Shaffer, H, ed. Washington, DC: American Psychological Press, 2012.
   Google Scholar
• Arria A, Vincent K, Caldeira K. Measuring liability for substance use disorder among college students: Implications for screening and early intervention. Am J Drug Alcohol Abuse 2009; 35:233–241.
   PubMed Web of Science ®Google Scholar
• Tarter R, Kirisci L, Mezzich A, Ridenour T, Fishbein D, Vanyukov M. Does the “gateway” sequence increase prediction of CUD beyond deviant socialization? Implications for Prevention and Policy. Drug Alcohol Depend 2012; 123(supplement):S72–S78.
   Google Scholar
• Kandel D, Yamaguchi K. Developmental stages of involvement in substance use. In Sourcebook on Substance Abuse: Etiology, Epidemiology, Assessment, and Treatment. Ott P, Tarter R, Ammerman R, eds. Boston, MA: Allyn & Bacon, 1999; 50–74.
   Google Scholar
• Kirisci L, Tarter R, Mezzich A, Ridenour T, Reynolds M, Vanyukov M. Prediction of cannabis use between childhood and young adulthood: Clarifying the phenotype and environtype. Am J Addict 2009; 18:36–47.
   PubMed Web of Science ®Google Scholar
• Ridenour TA, Tarter RE, Kirisci L, Vanyukov MM. Could a continuous measure of individual transmissible risk be useful in clinical assessment of substance use disorder? Drug Alcohol Depend 2011; 119:10–17.
   PubMed Web of Science ®Google Scholar
• Kirisci L, Tarter R, Ridenour T, Zhai Z-W, Fishbein D, Reynolds M, Vanyukov M. Age of alcohol and cannabis use onset mediates the association of transmissible risk in childhood and development of alcohol and cannabis disorders: Evidence for common liability. Exp Clin Psychopharmacol 2013; 23:38–45.
   Google Scholar
• Johnston L, O’Malley P, Bachman J, Schulenberg J. Monitoring the Future National Results on Adolescent Drug Use: Overview of Key Findings, 2011. Ann Arbor: Institute for Social Research, The University of Michigan, 2012.
   Google Scholar
• Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry 2005; 62:593–602.
   PubMed Web of Science ®Google Scholar
• Chen Y-C, Prescott CA, Walsh D, Patterson DG, Riley BP, Kendler K, Kuo P-H. Different phenotypic and genotypic presentations in alcohol dependence: Age at onset matters. J Stud Alcohol Drugs 2011; 72:752–762.
   Google Scholar
• Cloninger C, Bohman M, Sigvardsson S. Inheritance of alcohol abuse: Cross fostering analysis of adopted men. Arch Gen Psychiatry 1981; 36:861–868.
   Google Scholar
• Tarter R, Vanyukov MM. Theoretical and operational framework for research into the etiology of substance use disorder. J Child Adolesc Subst Abuse 2001; 10:1–12.
   Web of Science ®Google Scholar
• CEDAR. Lifetime Drug Use Interview (unpublished manuscript). Center for Education and Drug Abuse Research, 711 Salk Hall, University of Pittsburgh, Pittsburgh, PA 15213, 1989.
   Google Scholar
• Spitzer R, Williams J, Miriam G. Instruction Manual for the Structured Clinical Interview for DSM-III-R. New York, NY: New York State Psychiatric Institute, 1987
   Google Scholar
• Fitzmaurice GM, Laird NM, Ware JH. Applied Longitudinal Analysis. Haboken, NJ: John Wiley and Sons, Inc., 2004.
   Google Scholar
• Tarter R, Fishbein D, Kirisci L, Mezzich A, Ridenour T, Vanyukov M. Deviant socialization mediates transmissible and contextual risk on CUD development: A prospective study. Addiction 2011; 106:1301–1308.
   PubMed Web of Science ®Google Scholar
• Cloninger CR. Neurogenetic adaptive mechanisms in alcoholism. Science 1987; 236:410–416.
   PubMed Web of Science ®Google Scholar
• Saal D, Dong Y, Bonci A, Malenka RC. Drugs of abuse and stress trigger a common synaptic adaptation in dopamine neurons. Neuron 2003; 37:577–582.
   PubMed Web of Science ®Google Scholar
• Ungless MA, Whistle JL, Malenka RC, Bonci A. Single cocaine exposure to vivo induces long term potentiation in dopamine neurons. Nature 2011; 411:583–587.
   Google Scholar
• Grant JD, Sherrer JF, Lyons MJ, Tsuang M, True WR, Bucholz KK. Subjective reactions to cocaine and marijuana are associated with abuse and dependence. Addict Behav 2003; 30:1574–1586.
   Google Scholar
• Sherrer J, Grant J, Duncan A, Sartor C, Haber J, Jacob T, Bucholz K. Subjective effects to cannabis are associated with use, abuse and dependence after adjusting for genetic and environmental influences. Drug Alcohol Depend 2009; 105:76–82.
   Google Scholar
• Kirisci L, Tarter R, Reynolds M, Ridenour T, Stone C, Vanyukov M. Computer adaptive testing of liability to addiction: Identifying individuals at risk. Drug Alcohol Depend 2012; 123(Supplement 1):S79–S86.
   Google Scholar
• Vrieze SL, McGue M, Miller MB, Hicks BM, Iacono WG. Three mutually informative ways to understand the genetic relationships among behavioral disinhibition, alcohol use, drug use, nicotine use/dependence, and their co-occurrence: Twin biometry, GCTA, and genome-wide scoring. Behav Genet 2013; 43:97–107.
   Google Scholar
• Leadbeater BJ, Kuperminc GP, Blatt SJ, Hertzog C. A multivariate model of gender differences in adolescents’ internalizing and externalizing problems. Develop Psychol 1999; 35:1268–1281.
   PubMed Web of Science ®Google Scholar
• Johnston L, O’Malley P, Bachman J, Schulenberg J. Monitoring the Future National Survey Results on Drug Use, 1975–2010: Volume II, College Students & Adults Ages 19–50. Ann Arbor: Institute for Social Research, The University of Michigan, 2011.
   Google Scholar