BACKGROUND: We investigated the etiological nature of comorbid alcohol, tobacco, and cannabis DSM-IV dependence symptoms in late adolescence and young adulthood while accounting for gender differences in the magnitude of genetic and environmental influences. METHODS: Univariate and multivariate twin modeling was used to determine the heritability of each substance and the etiology of multiple drug problems in a sample of 2484 registrants of the Center for Antisocial Drug Dependence who provided data at the second wave of an ongoing longitudinal study. We report on mean and prevalence levels of whole-life DSM-IV dependence symptoms that were assessed with the Composite International Diagnostic Interview-Substance Abuse Module. Biometrical analyses were limited to age-adjusted DSM-IV dependence symptom counts from a subset of twins that reported using alcohol, tobacco, or cannabis in their lifetime. RESULTS: Male and female alcohol, tobacco, and cannabis DSM-IV symptoms are indicators of a heritable unidimensional latent continuous trait. Additive genetic factors explain more than 60% of the common liability to drug dependence. A larger proportion of the variation in each substance is attributable to substance-specific genetic and environmental factors. CONCLUSIONS: These data suggest that both common and substance-specific genetic and environmental factors contribute to individual differences in the levels of DSM-IV alcohol, tobacco, and cannabis dependence symptoms.
BACKGROUND: We investigated the etiological nature of comorbid alcohol, tobacco, and cannabis DSM-IV dependence symptoms in late adolescence and young adulthood while accounting for gender differences in the magnitude of genetic and environmental influences. METHODS: Univariate and multivariate twin modeling was used to determine the heritability of each substance and the etiology of multiple drug problems in a sample of 2484 registrants of the Center for Antisocial Drug Dependence who provided data at the second wave of an ongoing longitudinal study. We report on mean and prevalence levels of whole-life DSM-IV dependence symptoms that were assessed with the Composite International Diagnostic Interview-Substance Abuse Module. Biometrical analyses were limited to age-adjusted DSM-IV dependence symptom counts from a subset of twins that reported using alcohol, tobacco, or cannabis in their lifetime. RESULTS: Male and female alcohol, tobacco, and cannabis DSM-IV symptoms are indicators of a heritable unidimensional latent continuous trait. Additive genetic factors explain more than 60% of the common liability to drug dependence. A larger proportion of the variation in each substance is attributable to substance-specific genetic and environmental factors. CONCLUSIONS: These data suggest that both common and substance-specific genetic and environmental factors contribute to individual differences in the levels of DSM-IV alcohol, tobacco, and cannabis dependence symptoms.
Authors: Isabel R Schlaepfer; Nicole R Hoft; Allan C Collins; Robin P Corley; John K Hewitt; Christian J Hopfer; Jeffrey M Lessem; Matthew B McQueen; Soo Hyun Rhee; Marissa A Ehringer Journal: Biol Psychiatry Date: 2007-12-27 Impact factor: 13.382
Authors: Carolyn E Sartor; Julia D Grant; Kathleen K Bucholz; Pamela A F Madden; Andrew C Heath; Arpana Agrawal; John B Whitfield; Dixie J Statham; Nicholas G Martin; Michael T Lynskey Journal: Alcohol Clin Exp Res Date: 2009-12-17 Impact factor: 3.455
Authors: Hong Xian; Jeffrey F Scherrer; Julia D Grant; Seth A Eisen; William R True; Theodore Jacob; Kathleen K Bucholz Journal: Addiction Date: 2008-08 Impact factor: 6.526
Authors: R H C Palmer; S E Young; C J Hopfer; R P Corley; M C Stallings; T J Crowley; J K Hewitt Journal: Drug Alcohol Depend Date: 2009-02-27 Impact factor: 4.492
Authors: Olaya García-Rodríguez; Carlos Blanco; Melanie M Wall; Shuai Wang; Chelsea J Jin; Kenneth S Kendler Journal: Drug Alcohol Depend Date: 2014-09-16 Impact factor: 4.492
Authors: Shaunna L Clark; Nathan A Gillespie; Daniel E Adkins; Kenneth S Kendler; Michael C Neale Journal: Addict Behav Date: 2015-10-17 Impact factor: 3.913
Authors: S Fochler; T V Morozova; M R Davis; A W Gearhart; W Huang; T F C Mackay; R R H Anholt Journal: Genes Brain Behav Date: 2017-07-21 Impact factor: 3.449
Authors: James R Ashenhurst; K Paige Harden; Travis T Mallard; William R Corbin; Kim Fromme Journal: J Stud Alcohol Drugs Date: 2017-09 Impact factor: 2.582