title: Expression quantitative trait loci and the PhenoGen database.
abstract: Researchers from a wide variety of backgrounds and with a broad range of goals have utilized high-throughput screening technologies (i.e., microarray technologies) to identify candidate genes that may be associated with an observable characteristic or behavior (i.e., phenotype) of interest. However, the initial microarray analyses typically also yield many genes that are not related to the phenotype of interest. Therefore, additional analyses are necessary to select the most likely candidates and eventually identify one or more genes that actually underlie that phenotype. After briefly explaining how microarray data are generated, this article describes one approach to narrowing down the resulting candidate genes and a database that can help in this analysis.
authors.affiliation: Department of Pharmacology, University of Colorado-Denver School of Medicine, Aurora, Colorado.
authors.forename: Laura
authors.initials: L
authors.lastname: Saba
authors.forename: Paula L
authors.initials: PL
authors.lastname: Hoffman
authors.forename: Cheryl
authors.initials: C
authors.lastname: Hornbaker
authors.forename: Sanjiv V
authors.initials: SV
authors.lastname: Bhave
authors.forename: Boris
authors.initials: B
authors.lastname: Tabakoff
mesh_terms: D000818:Animals; D030541:Databases, Genetic; D005786:Gene Expression Regulation; D056726:Genetic Association Studies / Q000379:methods; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D040641:Quantitative Trait Loci / Q000235:genetics*