Literature DB >> 8886164

Genetic influences on DSM-III-R drug abuse and dependence: a study of 3,372 twin pairs.

M T Tsuang1, M J Lyons, S A Eisen, J Goldberg, W True, N Lin, J M Meyer, R Toomey, S V Faraone, L Eaves.   

Abstract

Research and clinical experience indicate that drug use disorders tend to run in families. The objective of this study was to distinguish between the family environment and genetic factors as the source of this observed family resemblance. Data were collected by telephone interview from members of the Vietnam Era Twin Registry, comprising male twin pairs who served in the U.S. military between 1965 and 1975. There were 3,372 pairs in which both twins participated. Drug use disorder was defined as receiving a diagnosis of drug abuse or dependence according to DSM-III-R; 10.1% of the sample had abused or been dependent on at least one illicit drug. A significant difference between concordance rates for monozygotic (26.2%) vs. dizygotic (16.5%) twins indicated a genetic influence on drug use disorder. Biometrical modeling indicated that genetic factors (34% of the variance), the environment shared by twins (28% of the variance), and the nonshared environment (38% of the variance) had significant influences of similar magnitudes on the individual's risk of developing a drug use disorder. These results support the application of molecular genetic approaches to elucidate the genetic influence on drug use disorder, as well as the potential efficacy of environmental intervention to reduce risk.

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Year:  1996        PMID: 8886164     DOI: 10.1002/(SICI)1096-8628(19960920)67:5<473::AID-AJMG6>3.0.CO;2-L

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  155 in total

1.  Relationship of substance abuse to dependence in the U.S. general population.

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2.  Variation in nicotinic acetylcholine receptor genes is associated with multiple substance dependence phenotypes.

Authors:  Richard Sherva; Henry R Kranzler; Yi Yu; Mark W Logue; James Poling; Albert J Arias; Raymond F Anton; David Oslin; Lindsay A Farrer; Joel Gelernter
Journal:  Neuropsychopharmacology       Date:  2010-05-19       Impact factor: 7.853

3.  Gambling, disordered gambling and their association with major depression and substance use: a web-based cohort and twin-sibling study.

Authors:  C Blanco; J Myers; K S Kendler
Journal:  Psychol Med       Date:  2011-08-11       Impact factor: 7.723

4.  The genetic basis of addictive disorders.

Authors:  Francesca Ducci; David Goldman
Journal:  Psychiatr Clin North Am       Date:  2012-06

5.  Dopamine gene variants in opioid addiction: comparison of dependent patients, nondependent users and healthy controls.

Authors:  Matthew Randesi; Wim van den Brink; Orna Levran; Vadim Yuferov; Peter Blanken; Jan M van Ree; Jurg Ott; Mary Jeanne Kreek
Journal:  Pharmacogenomics       Date:  2017-12-06       Impact factor: 2.533

Review 6.  "Higher order" addiction molecular genetics: convergent data from genome-wide association in humans and mice.

Authors:  George R Uhl; Tomas Drgon; Catherine Johnson; Oluwatosin O Fatusin; Qing-Rong Liu; Carlo Contoreggi; Chuan-Yun Li; Kari Buck; John Crabbe
Journal:  Biochem Pharmacol       Date:  2007-07-25       Impact factor: 5.858

Review 7.  New insights into the genetics of addiction.

Authors:  Ming D Li; Margit Burmeister
Journal:  Nat Rev Genet       Date:  2009-04       Impact factor: 53.242

Review 8.  Symbiotic relationship of pharmacogenetics and drugs of abuse.

Authors:  Joni L Rutter
Journal:  AAPS J       Date:  2006-03-24       Impact factor: 4.009

9.  Variants of opioid system genes are associated with non-dependent opioid use and heroin dependence.

Authors:  Matthew Randesi; Wim van den Brink; Orna Levran; Peter Blanken; Eduardo R Butelman; Vadim Yuferov; Joel Correa da Rosa; Jurg Ott; Jan M van Ree; Mary Jeanne Kreek
Journal:  Drug Alcohol Depend       Date:  2016-09-05       Impact factor: 4.492

10.  Environmental factors selectively impact co-occurrence of problem/pathological gambling with specific drug-use disorders in male twins.

Authors:  Hong Xian; Justine L Giddens; Jeffrey F Scherrer; Seth A Eisen; Marc N Potenza
Journal:  Addiction       Date:  2014-01-12       Impact factor: 6.526

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