| Literature DB >> 29425702 |
Sylvie Maiella1, Annie Olry1, Marc Hanauer1, Valérie Lanneau1, Halima Lourghi1, Bruno Donadille1, Charlotte Rodwell1, Sebastian Köhler2, Dominik Seelow2, Simon Jupp3, Helen Parkinson3, Tudor Groza4, Michael Brudno5, Peter N Robinson6, Ana Rath7.
Abstract
HIPBI-RD (Harmonising phenomics information for a better interoperability in the rare disease field) is a three-year project which started in 2016 funded via the E-Rare 3 ERA-NET program. This project builds on three resources largely adopted by the rare disease (RD) community: Orphanet, its ontology ORDO (the Orphanet Rare Disease Ontology), HPO (the Human Phenotype Ontology) as well as PhenoTips software for the capture and sharing of structured phenotypic data for RD patients. Our project is further supported by resources developed by the European Bioinformatics Institute and the Garvan Institute. HIPBI-RD aims to provide the community with an integrated, RD-specific bioinformatics ecosystem that will harmonise the way phenomics information is stored in databases and patient files worldwide, and thereby contribute to interoperability. This ecosystem will consist of a suite of tools and ontologies, optimized to work together, and made available through commonly used software repositories. The project workplan follows three main objectives: The HIPBI-RD ecosystem will contribute to the interpretation of variants identified through exome and full genome sequencing by harmonising the way phenotypic information is collected, thus improving diagnostics and delineation of RD. The ultimate goal of HIPBI-RD is to provide a resource that will contribute to bridging genome-scale biology and a disease-centered view on human pathobiology. Achievements in Year 1.Entities:
Keywords: Biological ontologies; Controlled vocabulary; Diagnosis; Differential; Knowledge bases
Mesh:
Year: 2018 PMID: 29425702 DOI: 10.1016/j.ejmg.2018.01.013
Source DB: PubMed Journal: Eur J Med Genet ISSN: 1769-7212 Impact factor: 2.708