A genome-wide scan for loci influencing adolescent cannabis dependence symptoms: evidence for linkage on chromosomes 3 and 9.
- Authors
- Hopfer, Christian J; Lessem, Jeffrey M; Hartman, Christie A; Stallings, Michael C; Cherny, Stacey S; Corley, Robin P; Hewitt, John K; Krauter, Kenneth S; Mikulich-Gilbertson, Susan K; Rhee, Soo Hyun; Smolen, Andrew; Young, Susan E; Crowley, Thomas J
- Year
- 2007
- Journal
- Drug and alcohol dependence
- PMID
- 17169504
- DOI
- 10.1016/j.drugalcdep.2006.11.015
- PMCID
- PMC1892279
OBJECTIVE: Cannabis is the most frequently abused illicit substance among adolescents and young adults. Genetic risk factors account for part of the variation in the development of cannabis dependence symptoms; however, no linkage studies have been performed for cannabis dependence symptoms. This study aimed to identify such loci. METHOD: Three hundred and twenty-four sibling pairs from 192 families were assessed for cannabis dependence symptoms. Probands (13-19 years of age) were recruited from consecutive admissions to substance abuse treatment facilities. The siblings of the probands ranged in age from 12 to 25 years. A community-based sample of 4843 adolescents and young adults was utilized to define an age- and sex-corrected index of cannabis dependence vulnerability. DSM-IV cannabis dependence symptoms were assessed in youth and their family members with the Composite International Diagnostic Instrument-Substance Abuse Module. Siblings and parents were genotyped for 374 microsatellite markers distributed across the 22 autosomes (average inter-marker distance=9.2cM). Cannabis dependence symptoms were analyzed using Merlin-regress, a regression-based method that is robust to sample selection. RESULTS: Evidence for suggestive linkage was found on chromosome 3q21 near marker D3S1267 (LOD=2.61), and on chromosome 9q34 near marker D9S1826 (LOD=2.57). CONCLUSIONS: This is the first reported linkage study of cannabis dependence symptoms. Other reports of linkage regions for illicit substance dependence have been reported near 3q21, suggesting that this region may contain a quantitative trait loci influencing cannabis dependence and other substance use disorders.
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| Genetically informative research on adolescent substance use: methods, findings, and challenges. | Lynskey MT et al. | — | 2010 | → |
| Linkage analyses of cannabis dependence, craving, and withdrawal in the San Francisco family study. | Ehlers CL et al. | — | 2010 | → |
| Addiction genetics and pleiotropic effects of common haplotypes that make polygenic contributions to vulnerability to substance dependence. | Uhl GR et al. | — | 2009 | → |
| Candidate genes for cannabis use disorders: findings, challenges and directions. | Agrawal A et al. | — | 2009 | → |
| Cannabinoid receptors in brain: pharmacogenetics, neuropharmacology, neurotoxicology, and potential therapeutic applications. | Onaivi ES | — | 2009 | → |
| Heritability and a genome-wide linkage analysis of a Type II/B cluster construct for cannabis dependence in an American Indian community. | Ehlers CL et al. | — | 2009 | → |
| Addiction Reviews. Preface. | Uhl GR | — | 2008 | → |
| Autosomal linkage analysis for cannabis use behaviors in Australian adults. | Agrawal A et al. | — | 2008 | → |
| Blunted psychotomimetic and amnestic effects of delta-9-tetrahydrocannabinol in frequent users of cannabis. | D'Souza DC et al. | — | 2008 | → |
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