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The Human Phenotype Ontology in 2021

Authors :
Christopher J. Mungall
Matthias Haimel
Fabian Hauck
Marc Hanauer
Nicolas Matentzoglu
Ganna Balagura
Ingo Helbig
Julie A. McMurry
Avi Z. Rosenberg
Amy Brower
Johanna L. Est
Julia Pazmandi
Maximilian Hastreiter
Melissa A. Haendel
Peter D. Galer
Nomi L. Harris
Gerhard Kindle
Michael Hartnett
Daniel Danis
Hugh Kearney
Shiva Ganesan
Yongqun He
Michael A. Gargano
Rebecca L. Peters
Matthias Griese
Roland Krause
Damian Smedley
Shahmir A. Rind
Katrin Knoflach
Tim Jeske
Gareth Baynam
Peter N. Robinson
Michael M. Segal
Leigh C. Carmody
David Lagorce
Monica Munoz-Torres
Christopher G. Chute
Christoph Klein
Zafer Yüksel
Jillian A. Miller
Tomer Talmy
Christina K Rapp
Julie Xian
Tiffany J. Callahan
Samuel A. Wiafe
David Lewis-Smith
Ana Rath
Nicole Vasilevsky
Yarlalu Thomas
Markus G. Seidel
Sebastian Köhler
Source :
Nucleic Acids Research, 2021, Vol. 49, Nucleic Acids Research
Publication Year :
2021

Abstract

The Human Phenotype Ontology (HPO, https://hpo.jax.org) was launched in 2008 to provide a comprehensive logical standard to describe and computationally analyze phenotypic abnormalities found in human disease. The HPO is now a worldwide standard for phenotype exchange. The HPO has grown steadily since its inception due to considerable contributions from clinical experts and researchers from a diverse range of disciplines. Here, we present recent major extensions of the HPO for neurology, nephrology, immunology, pulmonology, newborn screening, and other areas. For example, the seizure subontology now reflects the International League Against Epilepsy (ILAE) guidelines and these enhancements have already shown clinical validity. We present new efforts to harmonize computational definitions of phenotypic abnormalities across the HPO and multiple phenotype ontologies used for animal models of disease. These efforts will benefit software such as Exomiser by improving the accuracy and scope of cross-species phenotype matching. The computational modeling strategy used by the HPO to define disease entities and phenotypic features and distinguish between them is explained in detail.We also report on recent efforts to translate the HPO into indigenous languages. Finally, we summarize recent advances in the use of HPO in electronic health record systems.

Details

ISSN :
03051048
Database :
OpenAIRE
Journal :
Nucleic Acids Research, 2021, Vol. 49
Accession number :
edsair.doi.dedup.....2bf63733a75073d0317ef693d3429b7c
Full Text :
https://doi.org/10.1093/nar/gkaa1043