A genome-wide association study of DSM-IV: Cannabis dependence

Arpana Agrawal, Michael T. Lynskey, Anthony Hinrichs, Richard Grucza, Scott F. Saccone, Robert Krueger, Rosalind Neuman, William Howells, Sherri Fisher, Louis Fox, Robert Cloninger, Danielle M. Dick, Kimberly Doheny, Howard J. Edenberg, Alison M. Goate, Victor Hesselbrock, Eric Johnson, John Kramer, Samuel Kuperman, John I. NurnbergerElizabeth Pugh, Marc Schuckit, Jay Tischfield, John P. Rice, Kathleen K. Bucholz, Laura J. Bierut

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)514-518
Number of pages5
JournalAddiction Biology
Volume16
Issue number3
DOIs
StatePublished - Jul 1 2011

Fingerprint

Marijuana Abuse
Genome-Wide Association Study
Diagnostic and Statistical Manual of Mental Disorders
Cannabis
Chromosomes, Human, Pair 17
Twin Studies
Single Nucleotide Polymorphism
Logistic Models
Genotype
Genome
Genes

Keywords

  • Association
  • Cannabis dependence
  • Case-control
  • DSM
  • Genomewide
  • PLINK

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Pharmacology
  • Psychiatry and Mental health

Cite this

Agrawal, A., Lynskey, M. T., Hinrichs, A., Grucza, R., Saccone, S. F., Krueger, R., ... Bierut, L. J. (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

A genome-wide association study of DSM-IV : Cannabis dependence. / Agrawal, Arpana; Lynskey, Michael T.; Hinrichs, Anthony; Grucza, Richard; Saccone, Scott F.; Krueger, Robert; Neuman, Rosalind; Howells, William; Fisher, Sherri; Fox, Louis; Cloninger, Robert; Dick, Danielle M.; Doheny, Kimberly; Edenberg, Howard J.; Goate, Alison M.; Hesselbrock, Victor; Johnson, Eric; Kramer, John; Kuperman, Samuel; Nurnberger, John I.; Pugh, Elizabeth; Schuckit, Marc; Tischfield, Jay; Rice, John P.; Bucholz, Kathleen K.; Bierut, Laura J.

In: Addiction Biology, Vol. 16, No. 3, 01.07.2011, p. 514-518.

Research output: Contribution to journalArticle

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, K, Edenberg, HJ, Goate, AM, Hesselbrock, V, Johnson, E, Kramer, J, Kuperman, S, Nurnberger, JI, Pugh, E, Schuckit, M, Tischfield, J, Rice, JP, Bucholz, KK & Bierut, LJ 2011, 'A genome-wide association study of DSM-IV: Cannabis dependence', Addiction Biology, vol. 16, no. 3, pp. 514-518. https://doi.org/10.1111/j.1369-1600.2010.00255.x
Agrawal A, Lynskey MT, Hinrichs A, Grucza R, Saccone SF, Krueger R et al. A genome-wide association study of DSM-IV: Cannabis dependence. Addiction Biology. 2011 Jul 1;16(3):514-518. https://doi.org/10.1111/j.1369-1600.2010.00255.x
Agrawal, Arpana ; Lynskey, Michael T. ; Hinrichs, Anthony ; Grucza, Richard ; Saccone, Scott F. ; Krueger, Robert ; Neuman, Rosalind ; Howells, William ; Fisher, Sherri ; Fox, Louis ; Cloninger, Robert ; Dick, Danielle M. ; Doheny, Kimberly ; Edenberg, Howard J. ; Goate, Alison M. ; Hesselbrock, Victor ; Johnson, Eric ; Kramer, John ; Kuperman, Samuel ; Nurnberger, John I. ; Pugh, Elizabeth ; Schuckit, Marc ; Tischfield, Jay ; Rice, John P. ; Bucholz, Kathleen K. ; Bierut, Laura J. / A genome-wide association study of DSM-IV : Cannabis dependence. In: Addiction Biology. 2011 ; Vol. 16, No. 3. pp. 514-518.
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