title: Integrating Multidimensional Data Sources to Identify Genes Regulating Complex Phenotypes.
abstract: Phenotypes collected with a view to quantitative trait locus mapping can be augmented with compatible whole-transcriptome expression data and information from several other sources. These different data sources can be assembled into multidimensional network models which allow the identification of key genes potentially driving the phenotype of interest. The following chapter describes this approach using an example workflow. Several alternatives and potential limitations are discussed to aid the researcher when applying these techniques to their own work.
authors.affiliation: CRTD - DFG Research Center for Regenerative Therapies Dresden, Technische Universität Dresden, Fetscherstrasse 105, 01307, Dresden, Germany. Rupert.overall@crt-dresden.de.
authors.forename: Rupert W
authors.initials: RW
authors.lastname: Overall
mesh_terms: D002874:Chromosome Mapping; D019295:Computational Biology / Q000379:methods*; D030561:Databases, Nucleic Acid; D004843:Epistasis, Genetic; D053263:Gene Regulatory Networks; D056726:Genetic Association Studies / Q000379:methods*; D010641:Phenotype; D019655:Quantitative Trait, Heritable; D012984:Software; D014158:Transcription, Genetic; D059467:Transcriptome; D064878:Web Browser
keywords: Complex traits; Data integration; Gene–gene interactions; Multilayer networks; Network theory