Jackson Laboratory

The Human Phenotype Ontology: Accelerating Computational Integration of Clinical Data for Genomics - Project Summary/abstract to Improve Diagnostic Yield for Rare Diseases, We Developed the Human Phenotype Ontology (HPO) in 2008 as a Comprehensive Bioinformatic Resource That Provides a Standardized Terminology of Phenotypic Abnormalities for the Analysis of Human Diseases. Hpo Reduces Ambiguity in Disease Descriptions—thus Enabling More Robust Differential Diagnosis and Clinical Care—and Enables Phenotypic Contextualization of Genomic Data for Diagnostics and Precision Medicine. the Performance of Computational Algorithms for Differential Diagnostics With Hpo Terms Depends Critically on the Comprehensiveness and Depth of Hpo Annotations for Diseases. However, the Current Manual Nature of Our Biocuration Process Has Limited the Quality, Depth, and Coverage of These Annotations. Therefore, This Proposal's Objectives Are to Greatly Expand the Corpus of Disease-phenotype Annotations by Automating Portions of the Curation and Expanding the Computational Disease Model. This Project, Hpo: Accelerating Computational Integration of Clinical Data for Genomics, Will Maintain and Advance Hpo Resources to Address the Needs of a Growing Number of Medical Disciplines That Have Adopted the Hpo. We Will Achieve This Goal by 1) Automating Hpo Development, Maintenance, and Release Processes, 2) Developing Representations of Rare Disease Treatments and Interventions, and 3) Extending Our Current Computational Disease Models to Represent Time Course, Sex Biases, and Frequency of Events, and to Incorporate Case Report Data. We Also Provide a Sustainable Solution to Community Contribution With a User-friendly, Web- Based Portal to Enable Contributors to Vet and Suggest Improvements to the Ontology and the Annotations and Grow the Hpo Contributor Community. in Summary, Our Project Addresses the Most Pressing Needs for Advancements of the Hpo to Ensure Sustainable, Robust, and Rigorous Development, to Enable Hpo Resources to Support New Communities, New Applications, and More Medical Disciplines.