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A genome-wide association study of DSM-IV cannabis dependence
Journal article   Peer reviewed

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

Arpana Agrawal, Michael T Lynskey, Anthony Hinrichs, Richard Grucza, Scott F Saccone, Robert Krueger, Gene Environment Association Studies Consortium, William Howells, Sherri Fisher, Louis Fox, …
Addiction biology, Vol.16(3), pp.514-518
07/2011
DOI: 10.1111/j.1369-1600.2010.00255.x
PMCID: PMC3117436
PMID: 21668797
url
https://scholarworks.indianapolis.iu.edu/bitstreams/8d2ffae7-82d1-4c83-a069-1ea5a94acc0c/downloadView
Open Access

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.
Sulfotransferases - genetics Diagnostic and Statistical Manual of Mental Disorders Genetic Predisposition to Disease - genetics Genome-Wide Association Study Introns - genetics Membrane Proteins - genetics Humans Genotype Male Chromosomes, Human, Pair 17 - genetics Young Adult Marijuana Abuse - diagnosis Adolescent Age of Onset Alleles Polymorphism, Single Nucleotide - genetics Adult Female Chromosomes, Human, Pair 12 - genetics Marijuana Abuse - genetics Phosphate-Binding Proteins

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