28 research outputs found
Switching patients from other inhaled corticosteroid devices to the Easyhaler(®) : historical, matched-cohort study of real-life asthma patients
Peer reviewedPublisher PD
Effect of Inhaled Corticosteroid Therapy Step-Down and Dosing Regimen on Measures of Asthma Control
Peer reviewedPublisher PD
Performance of database-derived severe exacerbations and asthma control measures in asthma : responsiveness and predictive utility in a UK primary care database with linked questionnaire data
Peer reviewedPublisher PD
Small-particle Inhaled Corticosteroid as First-line or Step-up Controller Therapy in Childhood Asthma
Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.Peer reviewedPublisher PD
The Human Phenotype Ontology in 2017.
Deep phenotyping has been defined as the precise and comprehensive analysis of phenotypic abnormalities in which the individual components of the phenotype are observed and described. The three components of the Human Phenotype Ontology (HPO; www.human-phenotype-ontology.org) project are the phenotype vocabulary, disease-phenotype annotations and the algorithms that operate on these. These components are being used for computational deep phenotyping and precision medicine as well as integration of clinical data into translational research. The HPO is being increasingly adopted as a standard for phenotypic abnormalities by diverse groups such as international rare disease organizations, registries, clinical labs, biomedical resources, and clinical software tools and will thereby contribute toward nascent efforts at global data exchange for identifying disease etiologies. This update article reviews the progress of the HPO project since the debut Nucleic Acids Research database article in 2014, 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