Evidence map›Paper›PMID 31783775›Full record

SynthesisGenome medicine2019

Comparative analysis of functional assay evidence use by ClinGen Variant Curation Expert Panels.

Dona M Kanavy, Shannon M McNulty, Meera K Jairath, Sarah E Brnich, Chris Bizon, Bradford C Powell, Jonathan S Berg

Abstract readMeta-Analysis
In one paragraph

Synthesis in Genome medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Journal of medical genetics · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Biomolecules · 2023
    Article
  12. Review
  13. Developing a disease-specific annotation protocol for VHL gene curation using Hypothes.is.Database : the journal of biological databases and curation · 2023
    Article
  14. Article
  15. Model organisms for functional validation in genetic renal disease.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. How Functional Genomics Can Keep Pace With VUS Identification.Frontiers in cardiovascular medicine · 2022
    Review
  20. 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

7 authors.

Dona M KanavyDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Shannon M McNultyDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-0566-4629
Meera K JairathDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sarah E BrnichDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Chris BizonRenaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Bradford C PowellDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jonathan S BergDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. jonathan_berg@med.unc.edu.

Funding

Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008719 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI, DESHMUKH, MOHANISH P · 1999 to 2023
$15.1M
The Future of PharmGKB Funding Under NHGRIU41HG009649 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL · 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 · 2017 to 2020
$13.3M
NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
Primary Mitochondrial Disease Expert Curation PanelU24HD093483 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI FALK, MARNI J, GAI, XIAOWU · 2017 to 2023
$2.2M
Expert Panel: Genetics of Malformations of the Central Nervous SystemU24HD093487 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI PODURI, ANNAPURNA, YU, TIMOTHY WEI-WEN · 2017 to 2019
$988k
Genomic Clinical Variant Expert Curation Panel for Monogenic Diabetes: A Gateway to Precision Medicine in Diabetes MellitusU24HD093486 · NICHD · UNIVERSITY OF MARYLAND BALTIMORE · PI POLLIN, TONI I. · 2017 to 2019
$816k
NHGRI NIH HHS 3U41HG009650-02S1NHGRI NIH HHS U41 HG006834NHGRI NIH HHS U41 HG009649NHGRI NIH HHS U41HG009650NICHD NIH HHS U24 HD093483NICHD NIH HHS U24 HD093486NICHD NIH HHS U24 HD093487NIGMS NIH HHS 5T32 GM007092NIGMS NIH HHS 5T32 GM008719-6
6 · The paper itself

Abstract

backgroundThe 2015 American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) guidelines for clinical sequence variant interpretation state that "well-established" functional studies can be used as evidence in variant classification. These guidelines articulated key attributes of functional data, including that assays should reflect the biological environment and be analytically sound; however, details of how to evaluate these attributes were left to expert judgment. The Clinical Genome Resource (ClinGen) designates Variant Curation Expert Panels (VCEPs) in specific disease areas to make gene-centric specifications to the ACMG/AMP guidelines, including more specific definitions of appropriate functional assays. We set out to evaluate the existing VCEP guidelines for functional assays.

methodsWe evaluated the functional criteria (PS3/BS3) of six VCEPs (CDH1, Hearing Loss, Inherited Cardiomyopathy-MYH7, PAH, PTEN, RASopathy). We then established criteria for evaluating functional studies based on disease mechanism, general class of assay, and the characteristics of specific assay instances described in the primary literature. Using these criteria, we extensively curated assay instances cited by each VCEP in their pilot variant classification to analyze VCEP recommendations and their use in the interpretation of functional studies.

resultsUnsurprisingly, our analysis highlighted the breadth of VCEP-approved assays, reflecting the diversity of disease mechanisms among VCEPs. We also noted substantial variability between VCEPs in the method used to select these assays and in the approach used to specify strength modifications, as well as differences in suggested validation parameters. Importantly, we observed discrepancies between the parameters VCEPs specified as required for approved assay instances and the fulfillment of these requirements in the individual assays cited in pilot variant interpretation.

conclusionsInterpretation of the intricacies of functional assays often requires expert-level knowledge of the gene and disease, and current VCEP recommendations for functional assay evidence are a useful tool to improve the accessibility of functional data by providing a starting point for curators to identify approved functional assays and key metrics. However, our analysis suggests that further guidance is needed to standardize this process and ensure consistency in the application of functional evidence.

Indexed as

Disease ManagementDisease SusceptibilitySoftwareExpert TestimonyGenetic Predisposition to DiseaseGenetic TestingGenetic VariationGenomicsHumansMedical InformaticsPractice Guidelines as TopicClinical exome sequencingClinical genome resourceClinical genome sequencingFunctional assaysVariant interpretation

Identifiers

PMID31783775
PMCPMC6884856

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.