Literature DB >> 16168157

Genetic and environmental influences on illicit drug use and tobacco use across birth cohorts.

Kenneth S Kendler1, Charles Gardner, Kristen C Jacobson, Michael C Neale, Carol A Prescott.   

Abstract

BACKGROUND: The prevalence of use of many psychoactive substances has changed considerably in recent years. While genetic factors impact on overall risk for substance use, we know little about whether the etiological importance of these factors differs across birth cohorts. One theory, which postulates that heritability of deviant traits increases in permissive environments, predicts a positive relationship across cohorts between prevalence and heritability of substance use.
METHOD: The lifetime history of use of tobacco, cannabis, cocaine, sedatives and stimulants were assessed in 4826 twins from male-male and female-female pairs born in Virginia from 1934 to 1974. Using empirical methods based on prevalence by birth year, these twins were divided into three cohorts for each substance (e.g. for cannabis 1934-1953, 1954-1968 and 1969-1974). Structural equation modeling was performed using the Mx software package.
RESULTS: Prevalence rates for psychoactive substance use differed substantially across cohorts, most markedly for cocaine, sedatives and stimulants, which were highest in the 1958-1963 cohort. However, for all substances, the best-fit model constrained estimates of the etiological role of genetic and environmental risk factors to be equal across both sex and cohort.
CONCLUSIONS: We found no evidence in this sample for any systematic relationship between heritability and prevalence of psychoactive substance use--which should be a rough index of drug availability and/or acceptability. This sample had reasonable power to detect large changes in heritability across cohorts and at least moderate power to detect relatively small changes.

Entities:  

Mesh:

Year:  2005        PMID: 16168157     DOI: 10.1017/S0033291705004964

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  19 in total

1.  Illicit psychoactive substance use, abuse and dependence in a population-based sample of Norwegian twins.

Authors:  Kenneth S Kendler; Steven H Aggen; Kristian Tambs; Ted Reichborn-Kjennerud
Journal:  Psychol Med       Date:  2006-05-02       Impact factor: 7.723

2.  Genetic and Environmental Influences on Smoking Behavior across Adolescence and Young Adulthood in the Virginia Twin Study of Adolescent Behavioral Development and the Transitions to Substance Abuse Follow-Up.

Authors:  Elizabeth K Do; Elizabeth C Prom-Wormley; Lindon J Eaves; Judy L Silberg; Donna R Miles; Hermine H Maes
Journal:  Twin Res Hum Genet       Date:  2015-02       Impact factor: 1.587

3.  Do schools moderate the genetic determinants of smoking?

Authors:  Jason D Boardman; Jarron M Saint Onge; Brett C Haberstick; David S Timberlake; John K Hewitt
Journal:  Behav Genet       Date:  2008-03-18       Impact factor: 2.805

4.  Associations of the dopamine D4 receptor gene VNTR polymorphism with drug use in adolescent psychiatric inpatients.

Authors:  John E McGeary; Christianne Esposito-Smythers; Anthony Spirito; Peter M Monti
Journal:  Pharmacol Biochem Behav       Date:  2006-12-15       Impact factor: 3.533

5.  Genetic and environmental influences on alcohol, caffeine, cannabis, and nicotine use from early adolescence to middle adulthood.

Authors:  Kenneth S Kendler; Eric Schmitt; Steven H Aggen; Carol A Prescott
Journal:  Arch Gen Psychiatry       Date:  2008-06

Review 6.  Genetic factors modulating the response to stimulant drugs in humans.

Authors:  Amy B Hart; Harriet de Wit; Abraham A Palmer
Journal:  Curr Top Behav Neurosci       Date:  2012

7.  The Speed of Progression to Tobacco and Alcohol Dependence: A Twin Study.

Authors:  Spencer B Huggett; Alexander S Hatoum; John K Hewitt; Michael C Stallings
Journal:  Behav Genet       Date:  2018-02-09       Impact factor: 2.805

Review 8.  Genetics of schizophrenia and smoking: an approach to studying their comorbidity based on epidemiological findings.

Authors:  Jose de Leon; Francisco J Diaz
Journal:  Hum Genet       Date:  2011-12-22       Impact factor: 4.132

9.  Are the symptoms of cannabis use disorder best accounted for by dimensional, categorical, or factor mixture models? A comparison of male and female young adults.

Authors:  Nathan A Gillespie; Michael C Neale; Lisa N Legrand; William G Iacono; Matt McGue
Journal:  Psychol Addict Behav       Date:  2011-11-14

10.  Genetic and environmental risk factors for illicit substance use and use disorders: Joint analysis of self and co-twin ratings.

Authors:  Eivind Ystrom; Ted Reichborn-Kjennerud; Michael C Neale; Kenneth S Kendler
Journal:  Behav Genet       Date:  2013-11-07       Impact factor: 2.805

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