A corpus of GA4GH phenopackets: case-level phenotyping for genomic diagnostics and discovery.
Journal
HGG advances
ISSN: 2666-2477
Titre abrégé: HGG Adv
Pays: United States
ID NLM: 101772885
Informations de publication
Date de publication:
10 Oct 2024
10 Oct 2024
Historique:
received:
29
05
2024
revised:
04
10
2024
accepted:
04
10
2024
medline:
12
10
2024
pubmed:
12
10
2024
entrez:
12
10
2024
Statut:
aheadofprint
Résumé
The Global Alliance for Genomics and Health (GA4GH) Phenopacket Schema was released in 2022 and approved by ISO as a standard for sharing clinical and genomic information about an individual, including phenotypic descriptions, numerical measurements, genetic information, diagnoses, and treatments. A phenopacket can be used as an input file for software that supports phenotype-driven genomic diagnostics and for algorithms that facilitate patient classification and stratification for identifying new diseases and treatments. There has been a great need for a collection of phenopackets to test software pipelines and algorithms. Here, we present Phenopacket Store. Version 0.1.19 of Phenopacket Store includes 6668 phenopackets representing 475 Mendelian and chromosomal diseases associated with 423 genes and 3834 unique pathogenic alleles curated from 959 different publications. This represents the first large-scale collection of case-level, standardized phenotypic information derived from case reports in the literature with detailed descriptions of the clinical data and will be useful for many purposes, including the development and testing of software for prioritizing genes and diseases in diagnostic genomics, machine learning analysis of clinical phenotype data, patient stratification, and genotype-phenotype correlations. This corpus also provides best-practice examples for curating literature-derived data using the GA4GH Phenopacket Schema.
Identifiants
pubmed: 39394689
pii: S2666-2477(24)00111-8
doi: 10.1016/j.xhgg.2024.100371
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
100371Informations de copyright
Copyright © 2024. Published by Elsevier Inc.