Arpana Agrawal and Michael T. Lynskey are the joint primary authors.
A genome-wide association study of DSM-IV cannabis dependence
Article first published online: 4 NOV 2010
© 2010 The Authors, Addiction Biology © 2010 Society for the Study of Addiction
Volume 16, Issue 3, pages 514–518, July 2011
How to Cite
Agrawal, A., Lynskey, M. T., Hinrichs, A., Grucza, R., Saccone, S. F., Krueger, R., Neuman, R., Howells, W., Fisher, S., Fox, L., Cloninger, R., Dick, D. M., Doheny, K. F., Edenberg, H. J., Goate, A. M., Hesselbrock, V., Johnson, E., Kramer, J., Kuperman, S., Nurnberger Jr., J. I., Pugh, E., Schuckit, M., Tischfield, J., The GENEVA Consortium, Rice, J. P., Bucholz, K. K. and Bierut, L. J. (2011), A genome-wide association study of DSM-IV cannabis dependence. Addiction Biology, 16: 514–518. doi: 10.1111/j.1369-1600.2010.00255.x
- Issue published online: 13 JUN 2011
- Article first published online: 4 NOV 2010
- cannabis dependence;
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.