Cannabis and Depression: A Twin Model Approach to Co-morbidity

M Smolkina; K I Morley; F Rijsdijk; A Agrawal; J E Bergin; E C Nelson; Dixie J Statham; N G Martin; M T Lynskey

doi:10.1007/s10519-017-9848-0

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Cannabis and Depression: A Twin Model Approach to Co-morbidity

Journal article

Open access

Peer reviewed

Cannabis and Depression: A Twin Model Approach to Co-morbidity

M Smolkina, K I Morley, F Rijsdijk, A Agrawal, J E Bergin, E C Nelson, Dixie J Statham, N G Martin and M T Lynskey

Behavior Genetics, Vol.47(4), pp.394-404

2017

DOI: https://doi.org/10.1007/s10519-017-9848-0

Appears in UniSC Diversity and Inclusion Research Collection

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Abstract

co-morbidity

major depressive disorder

cannabis use disorder

twin model

genetics

UniSC Diversity Area - Disability and Inclusion

Cannabis use disorder (CUD) co-occurs with major depressive disorder (MDD) more frequently than would be expected by chance. However, studies to date have not produced a clear understanding of the mechanisms underlying this co-morbidity. Genetically informative studies can add valuable insight to this problem, as they allow the evaluation of competing models of co-morbidity. This study uses data from the Australian Twin Registry to compare 13 co-morbidity twin models initially proposed by Neale and Kendler (Am J Hum Genet 57:935-953, 1995). The analysis sample comprised 2410 male and female monozygotic and dizygotic twins (average age 32) who were assessed on CUD and MDD using the SSAGA-OZ interview. Data were analyzed in OpenMx. Of the 13 different co-morbidity models, two fit equally well: CUD causes MDD and Random Multiformity of CUD. Both fit substantially better than the Correlated Liabilities model. Although the current study cannot differentiate between them statistically, these models, in combination, suggest that CUD risk factors may causally influence the risk to develop MDD, but only when risk for CUD is high.

Details

Title: Cannabis and Depression: A Twin Model Approach to Co-morbidity
Authors: M Smolkina (Author) - King's College London, United Kingdom
K I Morley (Author) - University of Melbourne
F Rijsdijk (Author) - King's College London, United Kingdom
A Agrawal (Author) - Washington University School of Medicine, United States
J E Bergin (Author) - Virginia Commonwealth University, United States
E C Nelson (Author) - Washington University School of Medicine, United States
Dixie J Statham (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
N G Martin (Author) - QIMR Berghofer Medical Research Institute
M T Lynskey (Author) - King's College London, United Kingdom
Publication details: Behavior Genetics, Vol.47(4), pp.394-404
Publisher: Springer New York LLC
Date published: 2017
DOI: 10.1007/s10519-017-9848-0
ISSN: 0001-8244
Copyright note: Copyright © 2017 The Author. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Organisation Unit: School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland
Language: English
Record Identifier: 99450333702621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Behavioral Sciences; Genetics & Heredity; Psychology, Multidisciplinary

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