Literature DB >> 21668797

A genome-wide association study of DSM-IV cannabis dependence.

Arpana Agrawal1, 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 Nurnberger, Elizabeth Pugh, Marc Schuckit, Jay Tischfield, John P Rice, Kathleen K Bucholz, Laura J Bierut.   

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.
© 2010 The Authors, Addiction Biology © 2010 Society for the Study of Addiction.

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Year:  2010        PMID: 21668797      PMCID: PMC3117436          DOI: 10.1111/j.1369-1600.2010.00255.x

Source DB:  PubMed          Journal:  Addict Biol        ISSN: 1355-6215            Impact factor:   4.280


  13 in total

1.  Principal components analysis corrects for stratification in genome-wide association studies.

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Review 3.  The genetic epidemiology of cannabis use, abuse and dependence.

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4.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

Review 5.  FN3: a new protein scaffold reaches the clinic.

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6.  A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA.

Authors:  K K Bucholz; R Cadoret; C R Cloninger; S H Dinwiddie; V M Hesselbrock; J I Nurnberger; T Reich; I Schmidt; M A Schuckit
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7.  The Gene, Environment Association Studies consortium (GENEVA): maximizing the knowledge obtained from GWAS by collaboration across studies of multiple conditions.

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8.  Prevalence of marijuana use disorders in the United States: 1991-1992 and 2001-2002.

Authors:  Wilson M Compton; Bridget F Grant; James D Colliver; Meyer D Glantz; Frederick S Stinson
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Review 9.  Candidate genes for cannabis use disorders: findings, challenges and directions.

Authors:  Arpana Agrawal; Michael T Lynskey
Journal:  Addiction       Date:  2009-04       Impact factor: 6.526

10.  Heritability and a genome-wide linkage analysis of a Type II/B cluster construct for cannabis dependence in an American Indian community.

Authors:  Cindy L Ehlers; David A Gilder; Ian R Gizer; Kirk C Wilhelmsen
Journal:  Addict Biol       Date:  2009-04-28       Impact factor: 4.280

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  39 in total

Review 1.  Genetically informative research on adolescent substance use: methods, findings, and challenges.

Authors:  Michael T Lynskey; Arpana Agrawal; Andrew C Heath
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2010-10-20       Impact factor: 8.829

2.  Genetic variation in FAAH is associated with cannabis use disorders in a young adult sample of Mexican Americans.

Authors:  Whitney E Melroy-Greif; Kirk C Wilhelmsen; Cindy L Ehlers
Journal:  Drug Alcohol Depend       Date:  2016-06-25       Impact factor: 4.492

Review 3.  Introduction to deep sequencing and its application to drug addiction research with a focus on rare variants.

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5.  A method to customize population-specific arrays for genome-wide association testing.

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Journal:  Eur J Hum Genet       Date:  2016-11-23       Impact factor: 4.246

6.  Genome-Wide Association Study of Behavioral Disinhibition in a Selected Adolescent Sample.

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7.  The Genetics, Neurogenetics and Pharmacogenetics of Addiction.

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Review 8.  A brief history of research on the genetics of alcohol and other drug use disorders.

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9.  Developmentally Specific Associations Between CNR1 Genotype and Cannabis Use Across Emerging Adulthood.

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Journal:  J Stud Alcohol Drugs       Date:  2017-09       Impact factor: 2.582

10.  Monoacylglycerol lipase (MGLL) polymorphism rs604300 interacts with childhood adversity to predict cannabis dependence symptoms and amygdala habituation: Evidence from an endocannabinoid system-level analysis.

Authors:  Caitlin E Carey; Arpana Agrawal; Bo Zhang; Emily D Conley; Louisa Degenhardt; Andrew C Heath; Daofeng Li; Michael T Lynskey; Nicholas G Martin; Grant W Montgomery; Ting Wang; Laura J Bierut; Ahmad R Hariri; Elliot C Nelson; Ryan Bogdan
Journal:  J Abnorm Psychol       Date:  2015-11
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