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Open AccessJournal ArticleDOI

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

Sebastian Köhler, +69 more
- 08 Jan 2019 - 
- Vol. 47, pp 1018
TLDR
The HPO’s interoperability with other ontologies has enabled it to be used to improve diagnostic accuracy by incorporating model organism data and plays a key role in the popular Exomiser tool, which identifies potential disease-causing variants from whole-exome or whole-genome sequencing data.
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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Journal ArticleDOI

g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update).

TL;DR: G:Profiler is now capable of analysing data from any organism, including vertebrates, plants, fungi, insects and parasites, and the 2019 update introduces an extensive technical rewrite making the services faster and more flexible.
Journal ArticleDOI

The DisGeNET knowledge platform for disease genomics: 2019 update.

TL;DR: The DisGeNET platform, a knowledge management platform integrating and standardizing data about disease associated genes and variants from multiple sources, is an interoperable resource supporting a variety of applications in genomic medicine and drug R&D.
Journal ArticleDOI

Gene Set Knowledge Discovery with Enrichr.

TL;DR: Enrichr as discussed by the authors is a gene set search engine that enables the querying of hundreds of thousands of annotated gene sets Enrichr uniquely integrates knowledge from many high-profile projects to provide synthesized information about mammalian genes and gene sets.
Journal ArticleDOI

The Human Phenotype Ontology in 2021

Sebastian Köhler, +56 more
TL;DR: Recent major extensions of the Human Phenotype Ontology for neurology, nephrology, immunology, pulmonology, newborn screening, and other areas are presented and new efforts to harmonize computational definitions of phenotypic abnormalities across the HPO and multiple phenotype ontologies used for animal models of disease are presented.
References
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Journal ArticleDOI

The Human Phenotype Ontology: A Tool for Annotating and Analyzing Human Hereditary Disease

TL;DR: A Human Phenotype Ontology with over 8000 terms representing individual phenotypic anomalies and all clinical entries in Online Mendelian Inheritance in Man with the terms of the HPO are annotated.
Journal ArticleDOI

The Human Phenotype Ontology project: linking molecular biology and disease through phenotype data

Sebastian Köhler, +50 more
TL;DR: The updated HPO database is described, which provides annotations of 7,278 human hereditary syndromes listed in OMIM, Orphanet and DECIPHER to classes of the HPO, allowing integration of existing datasets and interoperability with multiple biomedical resources.
Journal ArticleDOI

Clinical application of whole-exome sequencing across clinical indications.

TL;DR: The experience with the first 3,040 WES cases suggests that analysis of trios significantly improves the diagnostic yield compared with proband-only testing for genetically heterogeneous disorders and facilitates identification of novel candidate genes.
Journal ArticleDOI

The Human Phenotype Ontology in 2017

Sebastian Köhler, +60 more
TL;DR: The progress of the HPO project is reviewed, including specific areas of expansion such as common (complex) disease, new algorithms for phenotype driven genomic discovery and diagnostics, integration of cross-species mapping efforts with the Mammalian Phenotype Ontology, an improved quality control pipeline, and the addition of patient-friendly terminology.
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