Open AccessGA4GH Phenopackets: A Practical Introduction
Author(s) -
Ladewig Markus S.,
Jacobsen Julius O. B.,
Wagner Alex H.,
Danis Daniel,
El Kassaby Baha,
Gargano Michael,
Groza Tudor,
Baudis Michael,
Steinhaus Robin,
Seelow Dominik,
Bechrakis Nikolaos E.,
Mungall Christopher J.,
Schofield Paul N.,
Elemento Olivier,
Smith Lindsay,
McMurry Julie A.,
MunozTorres Monica,
Haendel Melissa A.,
Robinson Peter N.
Publication year - 2023
Publication title -
advanced genetics
Language(s) - English
Resource type - Journals
ISSN - 2641-6573
DOI - 10.1002/ggn2.202200016
Subject(s) - suite , schema (genetic algorithms) , disease , medical diagnosis , genomics , computer science , data science , health care , data sharing , alliance , clinical phenotype , computational biology , bioinformatics , medicine , phenotype , genome , biology , information retrieval , genetics , pathology , alternative medicine , geography , archaeology , economic growth , gene , economics
The Global Alliance for Genomics and Health (GA4GH) is developing a suite of coordinated standards for genomics for healthcare. The Phenopacket is a new GA4GH standard for sharing disease and phenotype information that characterizes an individual person, linking that individual to detailed phenotypic descriptions, genetic information, diagnoses, and treatments. A detailed example is presented that illustrates how to use the schema to represent the clinical course of a patient with retinoblastoma, including demographic information, the clinical diagnosis, phenotypic features and clinical measurements, an examination of the extirpated tumor, therapies, and the results of genomic analysis. The Phenopacket Schema, together with other GA4GH data and technical standards, will enable data exchange and provide a foundation for the computational analysis of disease and phenotype information to improve our ability to diagnose and conduct research on all types of disorders, including cancer and rare diseases.