Literature DB >> 17764662

"Higher order" addiction molecular genetics: convergent data from genome-wide association in humans and mice.

George R Uhl1, Tomas Drgon, Catherine Johnson, Oluwatosin O Fatusin, Qing-Rong Liu, Carlo Contoreggi, Chuan-Yun Li, Kari Buck, John Crabbe.   

Abstract

Family, adoption and twin data each support substantial heritability for addictions. Most of this heritable influence is not substance-specific. The overlapping genetic vulnerability for developing dependence on a variety of addictive substances suggests large roles for "higher order" pharamacogenomics in addiction molecular genetics. We and others have now completed genome-wide association (GWA) studies of DNAs from individuals with dependence on a variety of addictive substances versus appropriate controls. Recently reported replicated GWA observations identify a number of genes based on comparisons between controls and European-American and African-American polysubstance abusers. Here we review the convergence between these results and data that compares control samples and (a) alcohol-dependent European-Americans, (b) methamphetamine-dependent Asians and (c) nicotine dependent samples from European backgrounds. We also compare these human data to quantitative trait locus (QTL) results from studies of addiction-related phenotypes in mice that focus on alcohol, methamphetamine and barbiturates. These comparisons support a genetic architecture built from largely polygenic contributions of common allelic variants to dependence on a variety of legal and illegal substances. Many of the gene variants identified in this way are likely to alter specification and maintenance of neuronal connections.

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Mesh:

Year:  2007        PMID: 17764662      PMCID: PMC3282179          DOI: 10.1016/j.bcp.2007.06.042

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  98 in total

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Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

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5.  Absence of anxiolytic response to chlordiazepoxide in two common background strains exposed to the elevated plus-maze: importance and implications of behavioural baseline.

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9.  Molecular genetics of nicotine dependence and abstinence: whole genome association using 520,000 SNPs.

Authors:  George R Uhl; Qing-Rong Liu; Tomas Drgon; Catherine Johnson; Donna Walther; Jed E Rose
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10.  A genome-wide scanning and fine mapping study of COGA data.

Authors:  Hsin-Chou Yang; Chien-Ching Chang; Chin-Yu Lin; Chun-Liang Chen; Chin-Yu Lin; Cathy S J Fann
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Review 2.  Positive and negative effects of alcohol and nicotine and their interactions: a mechanistic review.

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Journal:  Neurotox Res       Date:  2011-09-20       Impact factor: 3.911

Review 3.  Mouse models for studying genetic influences on factors determining smoking cessation success in humans.

Authors:  F Scott Hall; Athina Markou; Edward D Levin; George R Uhl
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Review 4.  Review. Genetics of addictions: strategies for addressing heterogeneity and polygenicity of substance use disorders.

Authors:  Chloe C Y Wong; Gunter Schumann
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-10-12       Impact factor: 6.237

Review 5.  Addiction and brain reward and antireward pathways.

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Review 6.  When a TRP goes bad: transient receptor potential channels in addiction.

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Review 7.  Molecular genetics of addiction and related heritable phenotypes: genome-wide association approaches identify "connectivity constellation" and drug target genes with pleiotropic effects.

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8.  Can we identify genes for alcohol consumption in samples ascertained for heterogeneous purposes?

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9.  High-throughput behavioral phenotyping in the expanded panel of BXD recombinant inbred strains.

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Journal:  Genes Brain Behav       Date:  2009-09-22       Impact factor: 3.449

10.  Genome wide association for addiction: replicated results and comparisons of two analytic approaches.

Authors:  Tomas Drgon; Ping-Wu Zhang; Catherine Johnson; Donna Walther; Judith Hess; Michelle Nino; George R Uhl
Journal:  PLoS One       Date:  2010-01-21       Impact factor: 3.240

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