Phenopacket-tools: Building and validating GA4GH Phenopackets.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 05 01 2023
accepted: 21 04 2023
medline: 19 5 2023
pubmed: 17 5 2023
entrez: 17 5 2023
Statut: epublish

Résumé

The Global Alliance for Genomics and Health (GA4GH) is a standards-setting organization that is developing a suite of coordinated standards for genomics. The GA4GH Phenopacket Schema is a standard for sharing disease and phenotype information that characterizes an individual person or biosample. The Phenopacket Schema is flexible and can represent clinical data for any kind of human disease including rare disease, complex disease, and cancer. It also allows consortia or databases to apply additional constraints to ensure uniform data collection for specific goals. We present phenopacket-tools, an open-source Java library and command-line application for construction, conversion, and validation of phenopackets. Phenopacket-tools simplifies construction of phenopackets by providing concise builders, programmatic shortcuts, and predefined building blocks (ontology classes) for concepts such as anatomical organs, age of onset, biospecimen type, and clinical modifiers. Phenopacket-tools can be used to validate the syntax and semantics of phenopackets as well as to assess adherence to additional user-defined requirements. The documentation includes examples showing how to use the Java library and the command-line tool to create and validate phenopackets. We demonstrate how to create, convert, and validate phenopackets using the library or the command-line application. Source code, API documentation, comprehensive user guide and a tutorial can be found at https://github.com/phenopackets/phenopacket-tools. The library can be installed from the public Maven Central artifact repository and the application is available as a standalone archive. The phenopacket-tools library helps developers implement and standardize the collection and exchange of phenotypic and other clinical data for use in phenotype-driven genomic diagnostics, translational research, and precision medicine applications.

Identifiants

pubmed: 37196000
doi: 10.1371/journal.pone.0285433
pii: PONE-D-23-00342
pmc: PMC10191354
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0285433

Subventions

Organisme : NICHD NIH HHS
ID : R01 HD103805
Pays : United States
Organisme : Medical Research Council
ID : MC_PC_19024
Pays : United Kingdom
Organisme : NIH HHS
ID : R24 OD011883
Pays : United States
Organisme : NHGRI NIH HHS
ID : RM1 HG010860
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG011799
Pays : United States

Informations de copyright

Copyright: © 2023 Danis et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Daniel Danis (D)

The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States of America.

Julius O B Jacobsen (JOB)

William Harvey Research Institute, Queen Mary University of London, London, United Kingdom.

Alex H Wagner (AH)

Departments of Pediatrics and Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, United States of America.
The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, United States of America.

Tudor Groza (T)

EMBL-EBI, Cambridge, United Kingdom.

Martha A Beckwith (MA)

The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States of America.

Lauren Rekerle (L)

The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States of America.

Leigh C Carmody (LC)

The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States of America.

Justin Reese (J)

Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America.

Harshad Hegde (H)

Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America.

Markus S Ladewig (MS)

Department of Ophthalmology, Klinikum Saarbrücken, Saarbrücken, Germany.

Berthold Seitz (B)

Department of Ophthalmology, Saarland University Medical Center, Homburg/Saar, Germany.

Monica Munoz-Torres (M)

Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America.

Nomi L Harris (NL)

Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America.

Jordi Rambla (J)

European Genome-Phenome Archive (EGA) in the Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.

Michael Baudis (M)

University of Zurich and Swiss Institute of Bioinformatics, Zurich, Switzerland.

Christopher J Mungall (CJ)

Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA, United States of America.

Melissa A Haendel (MA)

Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States of America.

Peter N Robinson (PN)

The Jackson Laboratory for Genomic Medicine, Farmington, CT, United States of America.
Institute for Systems Genomics, University of Connecticut, Farmington, CT, United States of America.

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Classifications MeSH