Meta-analysis for microarray studies of the genetics of complex traits

Michael F. Miles, Robert Williams

Research output: Contribution to journalShort survey

2 Citations (Scopus)

Abstract

In comparison to other complex disease traits, alcoholism and alcohol abuse are influenced by the combined effects of many genes that alter susceptibility, phenotypic expression and associated morbidity, respectively. Many genetic studies, in both animal models and humans, have identified genetic intervals containing genes that influence alcoholism or behavioral responses to ethanol. Concurrently, a growing number of microarray studies have identified gene expression differences related to ethanol drinking or other ethanol behaviors. However, concerns about the statistical power of these experiments, combined with the complexity of the underlying phenotypes, have greatly hampered the identification of candidate genes underlying ethanol behaviors. Meta-analysis approaches using recent compilations of large datasets of microarray, behavioral and genetic data promise improved statistical power for detecting the genes or gene networks affecting ethanol behaviors and other complex traits.

Original languageEnglish (US)
Pages (from-to)45-47
Number of pages3
JournalTrends in Biotechnology
Volume25
Issue number2
DOIs
StatePublished - Feb 1 2007

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Microarrays
Meta-Analysis
Ethanol
Genes
Alcoholism
Behavioral Genetics
Gene Regulatory Networks
Genetic Association Studies
Gene expression
Drinking
Animals
Alcohols
Animal Models
Genetics
Morbidity
Phenotype
Gene Expression
Experiments

All Science Journal Classification (ASJC) codes

  • Bioengineering

Cite this

Meta-analysis for microarray studies of the genetics of complex traits. / Miles, Michael F.; Williams, Robert.

In: Trends in Biotechnology, Vol. 25, No. 2, 01.02.2007, p. 45-47.

Research output: Contribution to journalShort survey

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