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 F. 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 journalArticlepeer-review

47 Scopus citations

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 2011

All Science Journal Classification (ASJC) codes

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

Keywords

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

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