AUTHOR=Shimoyama Mary , Nigam Rajni , McIntosh Leslie S., Nagarajan Rakesh , Rice Treva K., Rao D.C. , Dwinell Melinda R. TITLE=Three Ontologies to Define Phenotype Measurement Data JOURNAL=Frontiers in Genetics VOLUME=3 YEAR=2012 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2012.00087 DOI=10.3389/fgene.2012.00087 ISSN=1664-8021 ABSTRACT=

Background: There is an increasing need to integrate phenotype measurement data across studies for both human studies and those involving model organisms. Current practices allow researchers to access only those data involved in a single experiment or multiple experiments utilizing the same protocol. Results: Three ontologies were created: Clinical Measurement Ontology, Measurement Method Ontology and Experimental Condition Ontology. These ontologies provided the framework for integration of rat phenotype data from multiple studies into a single resource as well as facilitated data integration from multiple human epidemiological studies into a centralized repository. Conclusion: An ontology based framework for phenotype measurement data affords the ability to successfully integrate vital phenotype data into critical resources, regardless of underlying technological structures allowing the user to easily query and retrieve data from multiple studies.