DOI

  • Sebastian Köhler
  • Leigh Carmody
  • Nicole Vasilevsky
  • Julius O B Jacobsen
  • Daniel Danis
  • Jean-Philippe 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
  • Richard Palmer
  • Dylan Gratian
  • Hugh Dawkins
  • Michael Segal
  • Ahmed Muaz
  • Willie H Chang
  • Jenna Bergerson
  • Stanley J F Laulederkind
  • Zafer Yüksel
  • Sergi Beltran
  • Alexandra F Freeman
  • Panagiotis I Sergouniotis
  • Daniel 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
  • Francisco Castellanos
  • James Priest
  • Charlotte Cunningham-Rundles
  • Ayushi Hegde
  • Ruth C Lovering
  • Catherine Hajek
  • Annie Olry
  • Luigi Notarangelo
  • Morgan Similuk
  • Xingmin A Zhang
  • David Gómez-Andrés
  • Hanns Lochmüller
  • Hélène Dollfus
  • Sergio Rosenzweig
  • Shruti Marwaha
  • Ana Rath
  • Kathleen Sullivan
  • Cynthia Smith
  • Joshua D Milner
  • Dorothée Leroux
  • Cornelius F Boerkoel
  • Amy Klion
  • Melody C Carter
  • Tudor Groza
  • Damian Smedley
  • Melissa A Haendel
  • Chris Mungall
  • Peter N Robinson

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.

Original languageEnglish
Pages (from-to)D1018-D1027
Number of pages10
JournalNucleic Acids Research
Volume47
Issue numberD1
Early online date22 Nov 2018
DOIs
Publication statusPublished - 8 Jan 2019

ID: 40488550