Multivariate analyses reveal common and drug-specific genetic influences on responses to four drugs of abuse

John Belknap, Pamela Metten, Ethan H. Beckley, John Jr Crabbe

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Vulnerability to abused drugs is influenced by multiple genes unique to each drug and to risk genes for polydrug abuse. If several inbred mouse strains respond to different drugs similarly, this implies the action of a common group of genes. Simultaneous analysis of multiple responses to multiple drugs has been attempted infrequently. We performed multivariate analyses of published strain responses to four drugs. Genetic similarity in responses did not simply track pharmacological class. Withdrawal severity and preference for ethanol and diazepam were affected by many genes in common, although inversely. We focused on behavioral responses, but there is a growing archival database of physiological, pharmacological and biochemical strain traits. The genomics community is increasingly focusing on single-nucleotide polymorphism and haplotype-based gene mapping approaches, for which inbred strain data are also useful. Thus, similar analyses should be applicable to other laboratories, traits and genotypes.

Original languageEnglish (US)
Pages (from-to)537-543
Number of pages7
JournalTrends in Pharmacological Sciences
Volume29
Issue number11
DOIs
StatePublished - Nov 2008
Externally publishedYes

Fingerprint

Street Drugs
Multivariate Analysis
Genes
Pharmaceutical Preparations
Pharmacology
Inbred Strains Mice
Chromosome Mapping
Diazepam
Genomics
Polymorphism
Haplotypes
Single Nucleotide Polymorphism
Ethanol
Nucleotides
Genotype
Databases

ASJC Scopus subject areas

  • Pharmacology
  • Toxicology

Cite this

Multivariate analyses reveal common and drug-specific genetic influences on responses to four drugs of abuse. / Belknap, John; Metten, Pamela; Beckley, Ethan H.; Crabbe, John Jr.

In: Trends in Pharmacological Sciences, Vol. 29, No. 11, 11.2008, p. 537-543.

Research output: Contribution to journalArticle

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