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A genome‐wide association study of DSM‐IV cannabis dependence
Author(s) -
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 F.,
Edenberg Howard J.,
Goate Alison M.,
Hesselbrock Victor,
Johnson Eric,
Kramer John,
Kuperman Samuel,
Nurnberger Jr. John I.,
Pugh Elizabeth,
Schuckit Marc,
Tischfield Jay,
Rice John P.,
Bucholz Kathleen K.,
Bierut Laura J.
Publication year - 2011
Publication title -
addiction biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.445
H-Index - 78
eISSN - 1369-1600
pISSN - 1355-6215
DOI - 10.1111/j.1369-1600.2010.00255.x
Subject(s) - cannabis , cannabis dependence , single nucleotide polymorphism , logistic regression , genetics , genome wide association study , biology , genetic association , genotype , psychology , gene , psychiatry , medicine , cannabidiol
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.