Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
23194657
TITLE
A genetic perspective on the proposed inclusion of cannabis withdrawal in DSM-5.
ABSTRACT
BACKGROUND NlmCategory: BACKGROUND
Various studies support the inclusion of cannabis withdrawal in the diagnosis of cannabis use disorder (CUD) in the upcoming DSM-5. The aims of the current study were to (1) estimate the prevalence of DSM-5 cannabis withdrawal (criterion B), (2) estimate the role of genetic and environmental influences on individual differences in cannabis withdrawal and (3) determine the extent to which genetic and environmental influences on cannabis withdrawal overlap with those on DSM-IV-defined abuse/dependence.
METHOD NlmCategory: METHODS
The sample included 2276 lifetime cannabis-using adult Australian twins. Cannabis withdrawal was defined in accordance with criterion B of the proposed DSM-5 revisions. Cannabis abuse/dependence was defined as endorsing one or more DSM-IV criteria of abuse or three or more dependence criteria. The classical twin model was used to estimate the genetic and environmental influences on variation in cannabis withdrawal, along with its covariation with abuse/dependence.
RESULTS NlmCategory: RESULTS
Of all the cannabis users, 11.9% met criteria for cannabis withdrawal. Around 50% of between-individual variation in withdrawal could be attributed to additive genetic variation, and the rest of the variation was mostly due to non-shared environmental influences. Importantly, the genetic influences on cannabis withdrawal almost completely (99%) overlapped with those on abuse/dependence.
CONCLUSIONS NlmCategory: CONCLUSIONS
We have shown that cannabis withdrawal symptoms exist among cannabis users, and that cannabis withdrawal is moderately heritable. Genetic influences on cannabis withdrawal are the same as those affecting abuse/dependence. These results add to the wealth of literature that recommends the addition of cannabis withdrawal to the diagnosis of DSM-5 CUD.
DATE PUBLISHED
2013 Aug
HISTORY
PUBSTATUS PUBSTATUSDATE
aheadofprint 2012/11/30
entrez 2012/12/01 06:00
pubmed 2012/12/01 06:00
medline 2014/04/08 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Verweij KJ Verweij K J H KJ Department of Developmental Psychology, VU University, Amsterdam, The Netherlands.
Agrawal A Agrawal A A
Nat NO Nat N O NO
Creemers HE Creemers H E HE
Huizink AC Huizink A C AC
Martin NG Martin N G NG
Lynskey MT Lynskey M T MT
INVESTIGATORS
JOURNAL
VOLUME: 43
ISSUE: 8
TITLE: Psychological medicine
ISOABBREVIATION: Psychol Med
YEAR: 2013
MONTH: Aug
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1469-8978
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: Psychol Med
COUNTRY: England
ISSNLINKING: 0033-2917
NLMUNIQUEID: 1254142
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Twin Study
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
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GRANTS
GRANTID AGENCY COUNTRY
DA18267 NIDA NIH HHS United States
DA18660 NIDA NIH HHS United States
DA23668 NIDA NIH HHS United States
K02 DA032573 NIDA NIH HHS United States
K02DA32573 NIDA NIH HHS United States
R01 DA018267 NIDA NIH HHS United States
R01 DA018660 NIDA NIH HHS United States
R01 DA023668 NIDA NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adult
Australia epidemiology
Cannabis adverse effects
Diagnostic and Statistical Manual of Mental Disorders adverse effects
Diseases in Twins epidemiology
Female epidemiology
Genetic Predisposition to Disease epidemiology
Humans epidemiology
Male epidemiology
Marijuana Abuse genetics
Prevalence genetics
Registries genetics
Substance Withdrawal Syndrome genetics
Young Adult genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's
OTHERID SOURCE
NIHMS445587 NLM
PMC3733446 NLM