Research article
Identification of QTLs controlling gene expression networks defined a priori
1 University of California-Davis, Department of Plant Sciences, Mail Stop 3, One Shields Ave, Davis, CA 95616-8780, USA
2 INRA, Station de Génétique et d'Amélioration des Plantes, Centre de Versailles, 78026Versailles, France
3 Purdue University, Department of Statistics, Mathematical Sciences Building, 150 North University Street, West Lafayette, IN 47907-2067, USA
BMC Bioinformatics 2006, 7:308 doi:10.1186/1471-2105-7-308
Published: 16 June 2006Additional files
Additional File 1:
Gene members of the gene expression networks. aNetwork indicates the network that the gene is a member of. bGene is the Atg nomenclature for each gene listed. c > 50% Cis QTL indicates whether the gene has a cis-eQTL controlling greater than 50% of the expression phenotypic difference.
Format: XLS Size: 33KB Download file
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Additional File 2:
eQTL positions for all individual genes in this study. aNetwork indicates the network that the gene is a member of. bGene is the Atg gene nomenclature for each gene listed. ceQTL position indicates the chromosome (I, II, III, IV or V) and the cM of the eQTL LOD peak on that chromosome, separated by a period. The position of all significant eQTLs for each gene is shown. deQTL # is the number of eQTLs identified for each individual gene.
Format: XLS Size: 49KB Download file
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Additional File 3:
Traits used for QTL analysis in this study. aQTL Name is the abbreviation utilized for that trait. bTrait is the phenotype measured to identify the associated QTLs. cReference is the literature reference in which the trait is described. Unpublished QTL data are either from the Loudet or Kliebenstein laboratories.
Format: XLS Size: 20KB Download file
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