Evidence map›Paper›PMID 36910590›Full record

ArticleAdvanced genetics (Hoboken, N.J.)2023

GA4GH Phenopackets: A Practical Introduction.

Markus S Ladewig, Julius O B Jacobsen, Alex H Wagner, Daniel Danis, Baha El Kassaby, Michael Gargano, Tudor Groza, Michael Baudis, Robin Steinhaus, Dominik Seelow and 9 more

Full text read
In one paragraph

Article in Advanced genetics (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  11. Review
  12. GA4GH Phenopackets: A Practical Introduction.Advanced genetics (Hoboken, N.J.) · 2023
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Markus S LadewigDepartment of Ophthalmology Klinikum Saarbrücken 66119 Saarbrücken Germany.
Julius O B JacobsenWilliam Harvey Research Institute Charterhouse Square Barts and the London School of Medicine and Dentistry Queen Queen Mary University of London London EC1M 6BQ UK.
Alex H WagnerDepartments of Pediatrics and Biomedical Informatics The Ohio State University College of Medicine Columbus OH 43210 USA.
Daniel DanisThe Jackson Laboratory for Genomic Medicine 10 Discovery Drive Farmington CT 06032 USA.
Baha El KassabyThe Jackson Laboratory for Genomic Medicine 10 Discovery Drive Farmington CT 06032 USA.
Michael GarganoThe Jackson Laboratory for Genomic Medicine 10 Discovery Drive Farmington CT 06032 USA.
Tudor GrozaEuropean Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI) Cambridge CB10 1SD UK.
Michael BaudisDepartment of Molecular Life Sciences and Swiss Institute of Bioinformatics University of Zurich Zurich Switzerland.
Robin SteinhausExploratory Diagnostic Sciences Berlin Institute of Health at Charité - Universitätsmedizin Berlin 10178 Berlin Germany.
Dominik SeelowExploratory Diagnostic Sciences Berlin Institute of Health at Charité - Universitätsmedizin Berlin 10178 Berlin Germany.
Nikolaos E BechrakisDepartment of Ophthalmology University Clinic Essen 45147 Essen Germany.
Christopher J MungallLawrence Berkeley National Laboratory Environmental Genomics and Systems Biology Berkeley CA 94720 USA.
Paul N SchofieldDepartment of Physiology Development and Neuroscience University of Cambridge Downing Street Cambridge CB2 3EG UK.
Olivier ElementoCaryl and Israel Englander Institute for Precision Medicine Weill Cornell Medicine New York NY 10021 USA.
Lindsay SmithOntario Institute for Cancer Research Adaptive Oncology Toronto CA M5G0A3 USA.
Julie A McMurryCenter for Health AI University of Colorado Anschutz Medical Campus Aurora CO 80045 USA.
Monica Munoz-TorresCenter for Health AI University of Colorado Anschutz Medical Campus Aurora CO 80045 USA.
Melissa A HaendelCenter for Health AI University of Colorado Anschutz Medical Campus Aurora CO 80045 USA.
Peter N RobinsonThe Jackson Laboratory for Genomic Medicine 10 Discovery Drive Farmington CT 06032 USA.ORCID https://orcid.org/0000-0002-0736-9199

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
The Human Phenotype Ontology: Accelerating Computational Integration of Clinical Data for GenomicsU24HG011449 · NHGRI · JACKSON LABORATORY · PI Peter Nicholas Robinson · 2021 to 2026
$6.7M
Real-time genetic diagnosis at the point of careR01HG011799 · NHGRI · GEISINGER CLINIC · PI WILLIAMS, MARC S. · 2021 to 2025
$4.6M
Increasing the Yield and Utility of Pediatric Genomic Medicine with ExomiserR01HD103805 · NICHD · JACKSON LABORATORY · PI Valentina Cipriani, CHRISTOPHER J MUNGALL · 2021 to 2026
$4.3M
Development and validation of a computable knowledge framework for genomic medicineR35HG011949 · NHGRI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI WAGNER, ALEX HANDLER · 2021 to 2025
$2.4M
NHGRI NIH HHS R01 HG011799NHGRI NIH HHS R35 HG011949NHGRI NIH HHS RM1 HG010860NHGRI NIH HHS U24 HG011449NICHD NIH HHS R01 HD103805NIH HHS R24 OD011883
6 · The paper itself

Abstract

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.

Indexed as

deep phenotypingFAIR dataGlobal Alliance for Genomics and HealthHuman Phenotype OntologyPhenopacket Schema

Identifiers

PMID36910590
PMCPMC10000265

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.