Evidence map›Paper›PMID 30192042›Full record

ArticleHuman mutation2018

Recommendations for interpreting the loss of function PVS1 ACMG/AMP variant criterion.

Ahmad N Abou Tayoun, Tina Pesaran, Marina T DiStefano, Andrea Oza, Heidi L Rehm, Leslie G Biesecker, Steven M Harrison, ClinGen Sequence Variant Interpretation Working Group (ClinGen SVI)

Abstract read
In one paragraph

Article in Human mutation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 597 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
597citing papers in PubMed, 1 pooled it
–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

597 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  8. Article
  9. Pathogenicity assessment of genetic variants in reproductive disorders.Journal of assisted reproduction and genetics · 2026
    Review
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537 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

8 authors.

Ahmad N Abou TayounThe Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.ORCID 0000-0002-9134-1673
Tina PesaranAmbry Genetics, Aliso Viejo, California.
Marina T DiStefanoLaboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, Massachusetts.
Andrea OzaLaboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, Massachusetts.ORCID 0000-0003-3125-7119
Heidi L RehmLaboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, Massachusetts.ORCID 0000-0002-6025-0015
Leslie G BieseckerMedical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland.
Steven M HarrisonLaboratory for Molecular Medicine, Partners Healthcare Personalized Medicine, Cambridge, Massachusetts.ORCID 0000-0002-9614-9111
ClinGen Sequence Variant Interpretation Working Group (ClinGen SVI)

Funding

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
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
Clinically Relevant Genome Variation DatabaseU01HG007436 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, PLON, SHARON E. · 2013 to 2016
$10.5M
A Knowledge Base for Clinically Relevant Genes and VariantsU01HG007437 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, EVANS, JAMES PHILIP · 2013 to 2016
$9.0M
NHGRI NIH HHS HHSN261200800001ENHGRI NIH HHS U01 HG007436NHGRI NIH HHS U01 HG007437NHGRI NIH HHS U41 HG006834NHGRI NIH HHS U41 HG009649NHGRI NIH HHS U41 HG009650
6 · The paper itself

Abstract

The 2015 ACMG/AMP sequence variant interpretation guideline provided a framework for classifying variants based on several benign and pathogenic evidence criteria, including a pathogenic criterion (PVS1) for predicted loss of function variants. However, the guideline did not elaborate on specific considerations for the different types of loss of function variants, nor did it provide decision-making pathways assimilating information about variant type, its location, or any additional evidence for the likelihood of a true null effect. Furthermore, this guideline did not take into account the relative strengths for each evidence type and the final outcome of their combinations with respect to PVS1 strength. Finally, criteria specifying the genes for which PVS1 can be applied are still missing. Here, as part of the ClinGen Sequence Variant Interpretation (SVI) Workgroup's goal of refining ACMG/AMP criteria, we provide recommendations for applying the PVS1 criterion using detailed guidance addressing the above-mentioned gaps. Evaluation of the refined criterion by seven disease-specific groups using heterogeneous types of loss of function variants (n = 56) showed 89% agreement with the new recommendation, while discrepancies in six variants (11%) were appropriately due to disease-specific refinements. Our recommendations will facilitate consistent and accurate interpretation of predicted loss of function variants.

Indexed as

Computational BiologyExonsGenetic TestingGenome, HumanHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNASocieties, MedicalUnited StatesACMG/AMPClinGenloss of functionPVS1variant interpretation

Identifiers

PMID30192042
PMCPMC6185798

What OpenQuestion holds

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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.