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Updated: Jun 21, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
Published on: July 1, 2020
Pathway results from the chicken data set using GOTM, Pathway Studio and Ingenuity softwares
Agnès Bonnet1, Sandrine Lagarrigue, Laurence Liaubet
1INRA, UMR444, Laboratoire de Génétique Cellulaire, F-31326 Castanet-Tolosan, France. agnes.bonnet@toulouse.inra.fr
Background:
As presented in the introduction paper, three sets of differentially regulated genes were found after the analysis of the chicken infection data set from EADGENE. Different methods were used to interpret these results.
Results:
GOTM, Pathway Studio and Ingenuity softwares were used to investigate the three lists of genes. The three softwares allowed the analysis of the data and highlighted different networks. However, only one set of genes, showing a differential expression between primary and secondary response gave significant biological interpretation.
Conclusion:
Combining these databases that were developed independently on different annotation sources supplies a useful tool for a global biological interpretation of microarray data, even if they may contain some imperfections (e.g. gene not or not well annotated).
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