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Multicenter Study
. 2009 Jul 5;150B(5):736-40.
doi: 10.1002/ajmg.b.30881.

Evidence for association between polymorphisms in the cannabinoid receptor 1 (CNR1) gene and cannabis dependence

Arpana Agrawal  1 , Leah Wetherill, Danielle M Dick, Xiaoling Xuei, Anthony Hinrichs, Victor Hesselbrock, John Kramer, John I Nurnberger Jr, Marc Schuckit, Laura J Bierut, Howard J Edenberg, Tatiana Foroud
Affiliations
Multicenter Study

Evidence for association between polymorphisms in the cannabinoid receptor 1 (CNR1) gene and cannabis dependence

Arpana Agrawal et al. Am J Med Genet B Neuropsychiatr Genet. .

Abstract

Genomic studies of cannabis use disorders have been limited. The cannabinoid receptor 1 gene (CNR1) on chromosome 6q14-15 is an excellent candidate gene for cannabis dependence due to the important role of the G-protein coupled receptor encoded by this gene in the rewarding effects of Delta9-tetrahydrocannabinol. Previous studies have found equivocal evidence for an association between SNPs in CNR1 and a general vulnerability to substance use disorders. We investigate the association between 9 SNPs spanning CNR1 and cannabis dependence in 1,923 individuals. Two SNPs that were previously associated with cannabis dependence in other studies were also significant with this phenotype in our analyses [rs806368 (P = 0.05) and rs806380 (P = 0.009)]. Haplotype analyses revealed the association to be largely driven by the SNP rs806380. These results suggest a role for the cannabinoid receptor 1 gene in cannabis dependence.

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Figures

Figure 1
Figure 1
A. The gene structure of CNR1 was based on the annotation of Zhang et al (Molecular Psychiatry, 2004; 9:916–931), and is shown across the top of the figure with SNPs positioned below. Exons are numerically labeled with coding region in black and the untranslated regions in grey. The arrow denotes direction of transcription. B. Pairwise linkage disequilibrium between the genotyped SNPs is numerically represented as r2. The color coding reflects D’ with red reflecting a D’=1. The arrow represents the direction of transcription.
See this image and copyright information in PMC

References

    1. Agrawal A, Lynskey M. The Genetic Epidemiology of Cannabis Use, Abuse and Dependence: A Review. Addiction. 2006;101:801–812. - PubMed
    1. Agrawal A, Hinrichs A, Dunn G, Bertelsen S, Dick D, Saccone SF, Saccone NL, Grucza R, Wang JC, Cloninger CR, Edenberg H, Foroud T, Hesselbrock V, Kramer J, Bucholz K, Kuperman S, Nurnberger J, Porjesz B, Schuckit M, Goate A, Bierut L. Linkage scan for quantitative traits identifies new regions of interest for substance dependence in the Collaborative Study on the Genetics of Alcoholism (COGA) Sample. Drug Alcohol Depend. 2008a;93:12–20. - PMC - PubMed
    1. Agrawal A, Lynskey MT, Madden PA, Bucholz KK, Heath AC. A latent class analysis of illicit drug abuse/dependence: results from the National Epidemiological Survey on Alcohol and Related Conditions. Addiction. 2007;102:94–104. - PubMed
    1. Agrawal A, Pergadia ML, Saccone SF, Lynskey MT, Wang JC, Martin NG, Henders A, Campbell M, Garcia R, Broms U, Todd RD, Goate A, Rice J, Kaprio J, Heath AC, Montgomery GW, Madden PA. An Autosomal Linkage Scan for Cannabis Use Disorders in the Nicotine Addiction Genetics Project. Arch Gen Psychiatry. 2008b in press. - PubMed
    1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. Washington, DC: American Psychiatric Association; 1994.

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