Evidence map›Paper›PMID 31892348›Full record

ArticleGenome medicine2019

Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework.

Sarah E Brnich, Ahmad N Abou Tayoun, Fergus J Couch, Garry R Cutting, Marc S Greenblatt, Christopher D Heinen, Dona M Kanavy, Xi Luo, Shannon M McNulty, Lea M Starita and 6 more

Abstract read
In one paragraph

Article in Genome medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 425 papers.

0numbers the graph read from it
0cells of the map it votes in
425citing 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

425 citing papers in PubMed.

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  11. Neuropathy With Demyelinating Features in a Patient With Biallelic HARS1 Variants.Journal of the peripheral nervous system : JPNS · 2026
    Article
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365 more citing papers are in PubMed but not listed here.

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.

Sarah E BrnichDepartment of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, 120 Mason Farm Rd., Chapel Hill, NC, 27599-7264, USA.ORCID 0000-0003-3460-4905
Ahmad N Abou TayounGenomics Department, Al Jalila Children's Specialty Hospital, Dubai, United Arab Emirates.
Fergus J CouchDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Garry R CuttingDepartment of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Marc S GreenblattDepartment of Medicine and University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
Christopher D HeinenCenter for Molecular Oncology, UConn Health, Farmington, CT, USA.
Dona M KanavyDepartment of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, 120 Mason Farm Rd., Chapel Hill, NC, 27599-7264, USA.
Xi LuoDepartment of Pediatrics/Hematology-Oncology, Baylor College of Medicine, Houston, TX, USA.
Shannon M McNultyDepartment of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, 120 Mason Farm Rd., Chapel Hill, NC, 27599-7264, USA.
Lea M StaritaDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Sean V TavtigianDepartment of Oncological Sciences and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA.
Matt W WrightStanford University School of Medicine, Stanford, CA, USA.
Steven M HarrisonBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Leslie G BieseckerMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA.
Jonathan S BergDepartment of Genetics, The University of North Carolina at Chapel Hill, Chapel Hill, 120 Mason Farm Rd., Chapel Hill, NC, 27599-7264, USA. jonathan_berg@med.unc.edu.
Clinical Genome Resource Sequence Variant Interpretation Working Group

Funding

The Role of CHFR in Tumorigenesis and Paclitaxel-Sensitivity in Breast CancerP50CA116201 · NCI · MAYO CLINIC ROCHESTER · PI PETER C LUCAS · 2005 to 2026
$49.9M
Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
Genomic Ascertainment - Molecular and Genetic AspectsZIAHG200359 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BIESECKER, LESLIE · 2009 to 2025
$19.7M
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, GODDARD, KATRINA A. · 2017 to 2020
$13.3M
MOLECULAR GENETICS OF CYSTIC FIBROSISR01DK044003 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Garry R Cutting · 1991 to 2026
$6.7M
NRSA IN GENETICST32GM007092 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEKELSKY, JEFF J. · 1985 to 2019
$5.9M
COMMON AND RARE SEQUENCE VARIANTS IN BREAST CANCER RISKR01CA121245 · NCI · UNIVERSITY OF UTAH · PI TAVTIGIAN, SEAN VAHRAM · 2007 to 2021
$4.9M
Exome sequencing for head and neck cancer susceptibility genesR01DE023414 · NIDCR · UNIVERSITY OF UTAH · PI HASHIBE, MIA, TAVTIGIAN, SEAN VAHRAM · 2014 to 2018
$3.6M
BRCA2 missense mutations and breast cancerR01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2007 to 2011
$3.0M
BRCA1 and BRCA2 missense mutations and breast cancer riskU01CA116167 · NCI · MAYO CLINIC ROCHESTER · PI COUCH, FERGUS JOSEPH · 2013 to 2017
$2.7M
NCI NIH HHS P50 CA116201NCI NIH HHS R01 CA116167NCI NIH HHS R01 CA121245NCI NIH HHS R01 CA222477NCI NIH HHS R01 CA225262NCI NIH HHS U01 CA116167NHGRI NIH HHS 3U41HG009650-02S1NHGRI NIH HHS U41 HG006834NHGRI NIH HHS U41HG006834NHGRI NIH HHS U41 HG009649NHGRI NIH HHS U41HG009649NHGRI NIH HHS U41 HG009650NHGRI NIH HHS ZIA HG200359 10NIDCR NIH HHS R01 DE023414NIDDK NIH HHS R01 DK044003NIGMS NIH HHS 5T32 GM007092NIGMS NIH HHS 5T32 GM008719-6NIGMS NIH HHS T32 GM008719
6 · The paper itself

Abstract

backgroundThe American College of Medical Genetics and Genomics (ACMG)/Association for Molecular Pathology (AMP) clinical variant interpretation guidelines established criteria for different types of evidence. This includes the strong evidence codes PS3 and BS3 for "well-established" functional assays demonstrating a variant has abnormal or normal gene/protein function, respectively. However, they did not provide detailed guidance on how functional evidence should be evaluated, and differences in the application of the PS3/BS3 codes are a contributor to variant interpretation discordance between laboratories. This recommendation seeks to provide a more structured approach to the assessment of functional assays for variant interpretation and guidance on the use of various levels of strength based on assay validation.

methodsThe Clinical Genome Resource (ClinGen) Sequence Variant Interpretation (SVI) Working Group used curated functional evidence from ClinGen Variant Curation Expert Panel-developed rule specifications and expert opinions to refine the PS3/BS3 criteria over multiple in-person and virtual meetings. We estimated the odds of pathogenicity for assays using various numbers of variant controls to determine the minimum controls required to reach moderate level evidence. Feedback from the ClinGen Steering Committee and outside experts were incorporated into the recommendations at multiple stages of development.

resultsThe SVI Working Group developed recommendations for evaluators regarding the assessment of the clinical validity of functional data and a four-step provisional framework to determine the appropriate strength of evidence that can be applied in clinical variant interpretation. These steps are as follows: (1) define the disease mechanism, (2) evaluate the applicability of general classes of assays used in the field, (3) evaluate the validity of specific instances of assays, and (4) apply evidence to individual variant interpretation. We found that a minimum of 11 total pathogenic and benign variant controls are required to reach moderate-level evidence in the absence of rigorous statistical analysis.

conclusionsThe recommendations and approach to functional evidence evaluation described here should help clarify the clinical variant interpretation process for functional assays. Further, we hope that these recommendations will help develop productive partnerships with basic scientists who have developed functional assays that are useful for interrogating the function of a variety of genes.

Indexed as

Genetic VariationBayes TheoremGenome, HumanGuidelines as TopicHumansLoss of Function MutationSocieties, MedicalFunctional assaysGuidelinesVariant interpretation

Identifiers

PMID31892348
PMCPMC6938631

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