Despite twin studies showing that 50-70% of variation in DSM-IV cannabis dependence is attributable to heritable influences, little is known of specific genotypes that influence vulnerability to cannabis dependence. We conducted a genome-wide association study of DSM-IV cannabis dependence. Association analyses of 708 DSM-IV cannabis-dependent cases with 2346 cannabis-exposed non-dependent controls was conducted using logistic regression in PLINK. None of the 948 142 single nucleotide polymorphisms met genome-wide significance (P at E-8). The lowest P values were obtained for polymorphisms on chromosome 17 (rs1019238 and rs1431318, P values at E-7) in the ANKFN1 gene. While replication is required, this study represents an important first step toward clarifying the biological underpinnings of cannabis dependence
A genome-wide association study of DSM-IV cannabis dependence
Agrawal, A., Lynskey, MT., Hinrichs, A., Grucza, R., Saccone, SF., Krueger, R., Neuman, R., Howells, W., Fisher, S., Fox, L., Cloninger, R., Dick, DM., Doheny, KF., Edenberg, HJ., Goate, AM., Hesselbrock, V., Johnson, E., Kramer, J., Kuperman, S., ... Bierut, LJ. (2011). A genome-wide association study of DSM-IV cannabis dependence. Addiction Biology, 16(3), 514-518. https://doi.org/10.1111/j.1369-1600.2010.00255.x
To contact an RTI author, request a report, or for additional information about publications by our experts, send us your request.
Rate of onset of dopamine transporter inhibitors assessed with intracranial self-stimulation and in vivo dopamine photometry in rats
Personal exposure to PM2.5 in different microenvironments and activities for retired adults in two megacities, China
Estimating global artisanal fishing fleet responses in an era of rapid climate and economic change