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. 2019 Jan 8;47(D1):D1018-D1027.
doi: 10.1093/nar/gky1105.

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

Sebastian Köhler  1   2   3 Leigh Carmody  3   4 Nicole Vasilevsky  3   5 Julius O B Jacobsen  3   6 Daniel Danis  3   4 Jean-Philippe Gourdine  3   5 Michael Gargano  3   4 Nomi L Harris  3   7 Nicolas Matentzoglu  3   8 Julie A McMurry  3   9 David Osumi-Sutherland  3   8 Valentina Cipriani  3   10   11   12 James P Balhoff  3   13 Tom Conlin  3   9 Hannah Blau  3   4 Gareth Baynam  14   15   16   17   18 Richard Palmer  17 Dylan Gratian  14 Hugh Dawkins  18 Michael Segal  19 Anna C Jansen  20   21 Ahmed Muaz  3   22 Willie H Chang  23 Jenna Bergerson  24 Stanley J F Laulederkind  25 Zafer Yüksel  26 Sergi Beltran  27   28 Alexandra F Freeman  24 Panagiotis I Sergouniotis  29 Daniel Durkin  4 Andrea L Storm  30   31 Marc Hanauer  32 Michael Brudno  23 Susan M Bello  33 Murat Sincan  34 Kayli Rageth  34 Matthew T Wheeler  35 Renske Oegema  36 Halima Lourghi  32 Maria G Della Rocca  30   31 Rachel Thompson  37 Francisco Castellanos  4 James Priest  38 Charlotte Cunningham-Rundles  39 Ayushi Hegde  4 Ruth C Lovering  40 Catherine Hajek  34 Annie Olry  32 Luigi Notarangelo  24 Morgan Similuk  24 Xingmin A Zhang  3   4 David Gómez-Andrés  41 Hanns Lochmüller  27   42   43   44 Hélène Dollfus  45 Sergio Rosenzweig  46 Shruti Marwaha  35 Ana Rath  32 Kathleen Sullivan  47 Cynthia Smith  33 Joshua D Milner  24 Dorothée Leroux  45 Cornelius F Boerkoel  34 Amy Klion  24 Melody C Carter  24 Tudor Groza  3   22 Damian Smedley  3   6 Melissa A Haendel  3   5   9 Chris Mungall  3   7 Peter N Robinson  3   4   48
Affiliations

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

Sebastian Köhler et al. Nucleic Acids Res. .

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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Figures

Figure 1.
Figure 1.
Overview of the clinical modifier (A, left) and clinical course (B, right) subontologies. These subontology terms can be used in combination with existing HPO terms to qualify and enrich their meaning. (C) A schematic presentation of one HPO annotation for the disease familial cold autoinflammatory syndrome 2 (FCAS2). In a publication on this disease, three of three reported patients were found to have episodic fever with infantile (or earlier) onset that was triggered by exposure to cold (63).
Figure 2.
Figure 2.
Screenshot of the new HPO Website application. Users can search for HPO terms, annotated diseases, or disease-associated genes using an autocomplete widget. The hierarchical structure of the ontology is shown in an abbreviated fashion for clarity’s sake. Only the direct parent and child terms of the currently displayed term are shown in the hierarchy. The total number of decedent terms is shown for each term in the hierarchy to help users decide which parts of the ontology to explore.

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