Evidence map›Paper›PMID 36540993›Full record

ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2023

Development and application of a computable genotype model in the GA4GH Variation Representation Specification.

Wesley Goar, Lawrence Babb, Srikar Chamala, Melissa Cline, Robert R Freimuth, Reece K Hart, Kori Kuzma, Jennifer Lee, Tristan Nelson, Andreas Prlić and 6 more

Abstract read
In one paragraph

Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

16 authors.

Wesley GoarInstitute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
Lawrence Babb
Srikar Chamala
Melissa Cline
Robert R Freimuth
Reece K Hart
Kori Kuzma
Jennifer Lee
Tristan Nelson
Andreas Prlić
Kevin Riehle
Anastasia Smith
Kathryn Stahl
Andrew D Yates
Heidi L Rehm
Alex H Wagner

Funding

Baylor College of Medicine/Stanford University Clinical Genome Resource (CLINGEN)U24HG009649 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI TERI Ellen KLEIN, Aleksandar Milosavljevic · 2021 to 2026
$31.5M
Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
ClinGen AI Data Delivery SupplementU24HG006834 · NHGRI · BROAD INSTITUTE, INC. · PI Marina DiStefano, CHRISTA LESE MARTIN · 2021 to 2026
$26.7M
The Future of PharmGKB Funding Under NHGRIU41HG009649 · NHGRI · STANFORD UNIVERSITY · PI MONTINE, THOMAS J, PLON, SHARON E. · 2017 to 2020
$13.4M
The Clinical Genome Resource - Expert Curation and EHR IntegrationU41HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, GODDARD, KATRINA A. · 2017 to 2020
$13.3M
Tracking Ethical Provenance for Sharing Genomic and Health Related DataU24HG011025 · NHGRI · BROAD INSTITUTE, INC. · PI HEIDI L REHM · 2021 to 2026
$8.2M
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
Integrated Knowledge Management Framework for Clinical GenomicsR35HG011899 · NHGRI · MAYO CLINIC ROCHESTER · PI FREIMUTH, ROBERT RICHARD · 2021 to 2025
$2.4M
Federated Analysis in Cancer Genomics: Surveying the Social, Ethical, and Regulatory LandscapeU01CA242954 · NCI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI CLINE, MELISSA SUZANNE · 2019 to 2021
$1.5M
Medical Research Council MC_PC_19024NCI NIH HHS U01 CA242954NHGRI NIH HHS R35 HG011899NHGRI NIH HHS R35 HG011949NHGRI NIH HHS U24 HG006834NHGRI NIH HHS U24 HG009649NHGRI NIH HHS U24 HG011025NHGRI NIH HHS U41 HG006834NHGRI NIH HHS U41 HG009649NHGRI NIH HHS U41 HG009650Wellcome Trust
6 · The paper itself

Abstract

As the diversity of genomic variation data increases with our growing understanding of the role of variation in health and disease, it is critical to develop standards for precise inter-system exchange of these data for research and clinical applications. The Global Alliance for Genomics and Health (GA4GH) Variation Representation Specification (VRS) meets this need through a technical terminology and information model for disambiguating and concisely representing variation concepts. Here we discuss the recent Genotype model in VRS, which may be used to represent the allelic composition of a genetic locus. We demonstrate the use of the Genotype model and the constituent Haplotype model for the precise and interoperable representation of pharmacogenomic diplotypes, HGVS variants, and VCF records using VRS and discuss how this can be leveraged to enable interoperable exchange and search operations between assayed variation and genomic knowledgebases.

Indexed as

Computational BiologyGenetic VariationDatabases, GeneticGenomicsGenotypeHumans

Identifiers

PMID36540993
PMCPMC9782714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.