AI Article Synopsis

  • The Human Phenotype Ontology (HPO) was established in 2008 to standardize the description and analysis of phenotypic abnormalities in human diseases, and has become a global reference for phenotype data.
  • Recent updates to the HPO include expansions in various medical fields, with improvements such as the seizure subontology aligning with international epilepsy guidelines, demonstrating their clinical validity.
  • Ongoing efforts focus on harmonizing phenotypic definitions across the HPO and other ontologies, enhancing computational tools for cross-species disease research, and translating the HPO into indigenous languages for broader accessibility.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778952PMC
http://dx.doi.org/10.1093/nar/gkaa1043DOI Listing

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