Document Type
Article
Publication Date
5-7-2022
Publication Title
Nucleic acids research
Keywords
JGM
JAX Source
Nucleic Acids Res 2022 May 7; 50(W1):W677-81.
ISSN
1362-4962
PMID
35524573
DOI
https://doi.org/10.1093/nar/gkac329
Abstract
Precision medicine needs precise phenotypes. The Human Phenotype Ontology (HPO) uses clinical signs instead of diagnoses and has become the standard annotation for patients' phenotypes when describing single gene disorders. Use of the HPO beyond human genetics is however still limited. With SAMS (Symptom Annotation Made Simple), we want to bring sign-based phenotyping to routine clinical care, to hospital patients as well as to outpatients. Our web-based application provides access to three widely used annotation systems: HPO, OMIM, Orphanet. Whilst data can be stored in our database, phenotypes can also be imported and exported as Global Alliance for Genomics and Health (GA4GH) Phenopackets without using the database. The web interface can easily be integrated into local databases, e.g. clinical information systems. SAMS offers users to share their data with others, empowering patients to record their own signs and symptoms (or those of their children) and thus provide their doctors with additional information. We think that our approach will lead to better characterised patients which is not only helpful for finding disease mutations but also to better understand the pathophysiology of diseases and to recruit patients for studies and clinical trials. SAMS is freely available at https://www.genecascade.org/SAMS/.
Recommended Citation
Steinhaus R,
Proft S,
Seelow E,
Schalau T,
Robinson P,
Seelow D.
Deep phenotyping: symptom annotation made simple with SAMS. Nucleic Acids Res 2022 May 7; 50(W1):W677-81.
Comments
This is an Open Access article distributed under the terms of the Creative Commons Attribution License.