An autosomal linkage scan for cannabis use disorders in the nicotine addiction genetics project.
- Authors
- Agrawal, Arpana; Pergadia, Michele L; Saccone, Scott F; Lynskey, Michael T; Wang, Jen C; Martin, Nicholas G; Statham, Dixie; Henders, Anjali; Campbell, Megan; Garcia, Robertino; Broms, Ulla; Todd, Richard D; Goate, Alison M; Rice, John; Kaprio, Jaakko; Heath, Andrew C; Montgomery, Grant W; Madden, Pamela A F
- Year
- 2008
- Journal
- Archives of general psychiatry
- PMID
- 18519829
- DOI
- 10.1001/archpsyc.65.6.713
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 gamma-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.
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