co annotated mouse human datasets

• DOI: 10.5281/zenodo.14130
• Publication Date: 2015-01-21
• Authors: Tony Burdett; Frauke Neff; Heimo Müller; Nathalie Conte; Kurt Zatloukal; Jon Ison; Claudio Luchinat; Helen Parkinson; Philipp Gormanns; Natalie Bordag; Michael Raess; Julie A. McMurry; Leonardo Tenori; Drashtti Vasant
• Keywords: obesity; diabetes; translational research; phenotypes; human; ontology; data integration; mouse

In order to develop a comprehensive set of terms to describe Type 2 diabetes and obesity phenotypes in mouse and human, Type 2 Diabetes-related phenotypes were mined from the literature for use as new phenotype terms. The mined terms were curated and temporally categorised by expert clinicians/diabetologists. The terms were represented as an ontology in OWL format and the utility of the ontology in the annotation of data resources and partner data sets was evaluated. Using the ontology developed here enabled the annotation of mouse and human datasets with specific terminology representing Type 2 Diabetes progression, which will ultimately support translational research.