Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources
Author(s) -
Sebastian Köhler,
Leigh Carmody,
Nicole Vasilevsky,
Julius O.B. Jacobsen,
Daniel Daniš,
Jean-Philippe F. Gourdine,
Michael Gargano,
Nomi L. Harris,
Nicolas Matentzoglu,
Julie A. McMurry,
David Osumi-Sutherland,
Valentina Cipriani,
James P. Balhoff,
Tom Conlin,
Hannah Blau,
Gareth Baynam,
R. Palmer,
Dylan Gratian,
Hugh Dawkins,
Michael M. Segal,
Anna Jansen,
Ahmed Muaz,
Willie Chang,
Jenna Bergerson,
Stanley J. F. Laulederkind,
Zafer Yüksel,
Sergi Beltrán,
Alexandra F. Freeman,
Panagiotis I. Sergouniotis,
Daniel W. Durkin,
Andrea L. Storm,
Marc Hanauer,
Michael Brudno,
Susan M. Bello,
Murat Sincan,
Kayli Rageth,
Matthew T. Wheeler,
Renske Oegema,
Halima Lourghi,
Maria G. Della Rocca,
Rachel Thompson,
F Castellanos,
James R. Priest,
Charlotte CunninghamRundles,
Ayushi Hegde,
Ruth C. Lovering,
Catherine Hajek,
Annie Olry,
Luigi D. Notarangelo,
Morgan Similuk,
Xingmin Zhang,
David GómezAndrés,
Hanns Lochmüller,
Hélène Dollfus,
Sergio D. Rosenzweig,
Shruti Marwaha,
Ana Rath,
Kathleen E. Sullivan,
Cynthia L. Smith,
Joshua D. Milner,
Dorothée Leroux,
Cornelius F. Boerkoel,
Amy D. Klion,
Melody C. Carter,
Tudor Groza,
Damian Smedley,
Melissa Haendel,
Chris Mungall,
Peter N. Robinson
Publication year - 2018
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gky1105
Subject(s) - biology , phenotype , knowledge base , ontology , computational biology , base (topology) , genetics , gene , world wide web , computer science , epistemology , philosophy , mathematical analysis , mathematics
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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