Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Apr 1:149:49-54.
doi: 10.1016/j.drugalcdep.2015.01.016. Epub 2015 Jan 28.

A population-based Swedish Twin and Sibling Study of cannabis, stimulant and sedative abuse in men

Affiliations

A population-based Swedish Twin and Sibling Study of cannabis, stimulant and sedative abuse in men

Kenneth S Kendler et al. Drug Alcohol Depend. .

Abstract

Background: Prior studies, utilizing interview-based assessments, suggest that most of the genetic risk factors for drug abuse (DA) are non-specific with a minority acting specifically on risk for abuse of particular psychoactive substance classes. We seek to replicate these findings using objective national registry data.

Methods: We examined abuse of cannabis, stimulants (including cocaine) and sedatives ascertained from national Swedish registers in male-male monozygotic (1720 pairs) and dizygotic twins (1219 pairs) combined with near-age full siblings (76,457 pairs) to provide sufficient power. Modeling was performed using Mx.

Results: A common pathway model fitted better than an independent pathway model. The latent liability to DA was highly heritable but also influenced by shared environment. Cannabis, stimulant and sedative abuse all loaded strongly on the common factor. Estimates for the total heritability for the three forms of substance abuse ranged from 64 to 70%. Between 75 and 90% of that genetic risk was non-specific, coming from the common factor with the remainder deriving from substance specific genetic risk factors. By contrast, all of the shared environmental effects, which accounted for 18-20% of the variance in liability, were non-specific.

Conclusions: In accord with prior studies based on personal interviews, the large preponderance of genetic risk factors for abuse of specific classes of psychoactive substance are non-specific. These results suggest that genetic variation in the primary sites of action of the psychoactive drugs, which differ widely across most drug classes, play a minor role in human individual differences in risk for DA.

Keywords: Cannabis; Drug abuse; Genetics; Sedatives; Stimulants; Twins.

PubMed Disclaimer

Conflict of interest statement

Conflict of interest

No conflict declared.

Figures

Fig. 1
Fig. 1
Parameter estimates from the best-fitting common pathway model for cannabis, stimulant and sedative abuse in Swedish male–male twin and near-aged sibling pairs. (A, C and E) refer, respectively, to additive genetic, shared environmental, and unique environmental risk factors. The subscript “c” refers to risk factors on the common latent factor, here labeled “vulnerability to drug abuse.” The subscript “s” refers to risk factors specific to the abuse of individual substance classes. The paths from the common latent factor to the individual forms of drug abuse reflect the degree to which those forms of drug abuse index the liability to the latent factor.

Similar articles

Cited by

References

    1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (Revised) 3. American Psychiatric Association; Washington, DC: 1987.
    1. Bierut LJ, Dinwiddie SH, Begleiter H, Crowe RR, Hesselbrock V, Nurnberger JI, Jr, Porjesz B, Schuckit MA, Reich T. Familial transmission of substance dependence: alcohol, marijuana, cocaine, and habitual smoking: a report from the Collaborative Study on the Genetics of Alcoholism. Arch Gen Psychiatry. 1998;55:982–988. - PubMed
    1. Boker S, Neale M, Maes H, Wilde M, Spiegel M, Brick T, Spies J, Estabrook R, Kenny S, Bates T, Mehta P, Fox J. OpenMx: an open source extended structural equation modeling framework. Psychometrika. 2011;76:306–317. - PMC - PubMed
    1. Dick DM, Smith G, Olausson P, Mitchell SH, Leeman RF, O’Malley SS, Sher K. Understanding the construct of impulsivity and its relationship to alcohol use disorders. Addict Biol. 2010;15:217–226. - PMC - PubMed
    1. Giordano GN, Ohlsson H, Kendler KS, Winkleby MA, Sundquist K, Sundquist J. Age, period and cohort trends in drug abuse hospitalizations within the total Swedish population (1975–2010) Drug Alcohol Depend. 2013;134:355–361. - PMC - PubMed

Publication types

MeSH terms