Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources

Sebastian Köhler(Humboldt-Universität zu Berlin), Leigh Carmody(Jackson Laboratory), Nicole Vasilevsky(Oregon Health & Science University), Julius O.B. Jacobsen(Queen Mary University of London), Daniel Daniš(Jackson Laboratory), Jean-Philippe F. Gourdine(Oregon Health & Science University), Michael Gargano(Jackson Laboratory), Nomi L. Harris(Lawrence Berkeley National Laboratory), Nicolas Matentzoglu(European Bioinformatics Institute), Julie A. McMurry(Oregon State University), David Osumi-Sutherland(European Bioinformatics Institute), Valentina Cipriani(Institute of Ophthalmology), James P. Balhoff(University of North Carolina at Chapel Hill), Tom Conlin(Oregon State University), Hannah Blau(Jackson Laboratory), Gareth Baynam(The Kids Research Institute Australia), R. Palmer(Curtin University), Dylan Gratian(Government of Western Australia), Hugh Dawkins(Government of Western Australia), Michael M. Segal(SimulConsult), Anna Jansen(Vrije Universiteit Brussel), Ahmed Muaz(Garvan Institute of Medical Research), Willie Chang(University of Toronto), Jenna Bergerson(National Institutes of Health), Stanley J. F. Laulederkind(Marquette University), Zafer Yüksel, Sergi Beltrán(Universitat Pompeu Fabra), Alexandra F. Freeman(National Institutes of Health), Panagiotis I. Sergouniotis(Manchester Royal Eye Hospital), Daniel W. Durkin(Jackson Laboratory), Andrea L. Storm(National Institutes of Health), Marc Hanauer(Inserm), Michael Brudno(University of Toronto), Susan M. Bello(Jackson Laboratory), Murat Sincan(Sanford Health), Kayli Rageth(Sanford Health), Matthew T. Wheeler(Stanford University), Renske Oegema(University Medical Center Utrecht), Halima Lourghi(Inserm), Maria G. Della Rocca(National Institutes of Health), Rachel Thompson(Newcastle University), F Castellanos(Jackson Laboratory), James R. Priest(Stanford University), Charlotte Cunningham‐Rundles(Icahn School of Medicine at Mount Sinai), Ayushi Hegde(Jackson Laboratory), Ruth C. Lovering(University College London), Catherine Hajek(Sanford Health), Annie Olry(Inserm), Luigi D. Notarangelo(National Institutes of Health), Morgan Similuk(National Institutes of Health), Xingmin Zhang(Jackson Laboratory), David Gómez‐Andrés(Vall d'Hebron Institut de Recerca), Hanns Lochmüller(University of Ottawa), Hélène Dollfus(Université de Strasbourg), Sergio D. Rosenzweig(National Institutes of Health Clinical Center), Shruti Marwaha(Stanford University), Ana Rath(Inserm), Kathleen E. Sullivan(Children's Hospital of Philadelphia), Cynthia L. Smith(Jackson Laboratory), Joshua D. Milner(National Institutes of Health), Dorothée Leroux(Université de Strasbourg), Cornelius F. Boerkoel(Sanford Health), Amy D. Klion(National Institutes of Health), Melody C. Carter(National Institutes of Health), Tudor Groza(Garvan Institute of Medical Research), Damian Smedley(Queen Mary University of London), Melissa Haendel(Oregon State University), Chris Mungall(Lawrence Berkeley National Laboratory), Peter N. Robinson(University of Connecticut)
Nucleic Acids Research
October 25, 2018
Cited by 736Open Access
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Abstract

The Human Phenotype Ontology (HPO)-a standardized vocabulary of phenotypic abnormalities associated with 7000+ diseases-is used by thousands of researchers, clinicians, informaticians and electronic health record systems around the world. Its detailed descriptions of clinical abnormalities and computable disease definitions have made HPO the de facto standard for deep phenotyping in the field of rare disease. The HPO's interoperability with other ontologies has enabled it to be used to improve diagnostic accuracy by incorporating model organism data. It also plays a key role in the popular Exomiser tool, which identifies potential disease-causing variants from whole-exome or whole-genome sequencing data. Since the HPO was first introduced in 2008, its users have become both more numerous and more diverse. To meet these emerging needs, the project has added new content, language translations, mappings and computational tooling, as well as integrations with external community data. The HPO continues to collaborate with clinical adopters to improve specific areas of the ontology and extend standardized disease descriptions. The newly redesigned HPO website (www.human-phenotype-ontology.org) simplifies browsing terms and exploring clinical features, diseases, and human genes.


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