An autosomal linkage scan for cannabis use disorders in the nicotine addiction genetics project

Arpana Agrawal, Michele L. Pergadia, Scott F. Saccone, Michael T. Lynskey, Jen C. Wang, Nicholas G. Martin, Dixie Statham, Anjali Henders, Megan Campbell, Robertino Garcia, Ulla Broms, Richard D. Todd, Alison M. Goate, John Rice, Jaakko Kaprio, Andrew C. Heath, Grant W. Montgomery, Pamela A.F. Madden

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

Context: Despite accumulating evidence that there is a genetic basis for cannabis use disorders (ie, abuse and dependence), few studies have identified genomic regions that may harbor biological risk and protective factors. Objective: To conduct autosomal linkage analyses that identify genomic regions that may harbor genes conferring a vulnerability to cannabis use disorders. Design: In 289 Australian families who participated in the Nicotine Addiction Genetics Project, 423 autosomal markers were genotyped. Families were ascertained for heavy cigarette smoking. Linkage was conducted for DSM-IV cannabis dependence and for a novel factor score representing problems with cannabis use, including occurrence of 3 of 4 abuse criteria (excluding legal problems) and 6 DSM-IV dependence criteria. Results: A maximum logarithm of odds (LOD) of 3.36 was noted for the cannabis problems factor score on chromosome arm 1p. An LOD of 2.2 was noted on chromosome 4 in the region of the γ-aminobutyric acid type A gene cluster, including GABRA2, which has been implicated in drug use disorders. For DSM-IV cannabis dependence, a modest LOD score on chromosome 6 (1.42) near cannabinoid receptor 1 (CNR1) was identified. In addition, support for an elevation on chromosome 3, identified in prior independent studies, was noted for the factor score and cannabis dependence (LOD,1.4). Conclusions: Genes such as ELTD1 on chromosome 1, in addition to genes on chromosomes 4 (eg, GABRA2) and 6 (eg, CNR1), may be associated with the genetic risk for cannabis use disorders. We introduce a novel quantitative phenotype, a cannabis problems factor score composed of DSM-IV abuse and dependence criteria, that may be useful for future linkage and association studies.

Original languageEnglish
Pages (from-to)713-722
Number of pages10
JournalArchives of General Psychiatry
Volume65
Issue number6
DOIs
StatePublished - Jun 2008

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