Evidence map›Paper›PMID 36413997›Full record

ArticleAmerican journal of human genetics2022

Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria.

Vikas Pejaver, Alicia B Byrne, Bing-Jian Feng, Kymberleigh A Pagel, Sean D Mooney, Rachel Karchin, Anne O'Donnell-Luria, Steven M Harrison, Sean V Tavtigian, Marc S Greenblatt and 4 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 405 papers.

0numbers the graph read from it
0cells of the map it votes in
405citing 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

405 citing papers in PubMed.

  1. Article
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  7. Pathogenicity assessment of genetic variants in reproductive disorders.Journal of assisted reproduction and genetics · 2026
    Review
  8. Review
  9. Article
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  17. Germline whole-exome sequencing identifies CTNND1 as a candidate gene for hereditary gastric cancer in a large Brazilian cohort.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
  18. Article
  19. Article
  20. Article

345 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

14 authors.

Vikas PejaverInstitute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA.
Alicia B ByrneProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA.
Bing-Jian FengDepartment of Dermatology, University of Utah, Salt Lake City, UT 84132, USA; Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Kymberleigh A PagelThe Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD 21218, USA.
Sean D MooneyDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA.
Rachel KarchinThe Institute for Computational Medicine, The Johns Hopkins University, Baltimore, MD 21218, USA; Departments of Biomedical Engineering, Oncology, and Computer Science, The Johns Hopkins University, Baltimore, MD 21218, USA.
Anne O'Donnell-LuriaProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA.
Steven M HarrisonProgram in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Ambry Genetics, Aliso Viejo, CA 92656, USA.
Sean V TavtigianDepartment of Oncological Sciences, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT 84112, USA.
Marc S GreenblattDepartment of Medicine and University of Vermont Cancer Center, University of Vermont, Larner College of Medicine, Burlington, VT 05405, USA.
Leslie G BieseckerCenter for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Predrag RadivojacKhoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA. Electronic address: predrag@northeastern.edu.
Steven E BrennerDepartment of Plant and Microbial Biology and Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA. Electronic address: brenner@compbio.berkeley.edu.
ClinGen Sequence Variant Interpretation Working Group

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
The Clinical Genome Resource – Advancing genomic medicine through biocuration and expert assessment of genes and variants at scaleU24HG009650 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JONATHAN S BERG, Jessica Ezzell Hunter · 2021 to 2026
$30.0M
ClinGen AI Data Delivery SupplementU24HG006834 · NHGRI · BROAD INSTITUTE, INC. · PI Marina DiStefano, CHRISTA LESE MARTIN · 2021 to 2026
$26.7M
The Genome Aggregation Database (gnomAD)U24HG011450 · NHGRI · BROAD INSTITUTE, INC. · PI Mark Joseph Daly, Konrad Karczewski · 2021 to 2026
$22.3M
Genomic Ascertainment - Molecular and Genetic AspectsZIAHG200359 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI BIESECKER, LESLIE · 2009 to 2025
$19.7M
Joint Center for Mendelian GenomicsUM1HG008900 · NHGRI · BROAD INSTITUTE, INC. · PI O'DONNELL-LURIA, ANNE, REHM, HEIDI L · 2016 to 2020
$16.5M
Broad Institute Mendelian Genomic Research CenterU01HG011755 · NHGRI · BROAD INSTITUTE, INC. · PI Anne O'Donnell-Luria, MICHAEL E TALKOWSKI · 2021 to 2026
$14.6M
The Future of PharmGKB Funding Under NHGRIU41HG009649 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL · 2017 to 2020
$13.4M
COMMON AND RARE SEQUENCE VARIANTS IN BREAST CANCER RISKR01CA121245 · NCI · UNIVERSITY OF UTAH · PI TAVTIGIAN, SEAN VAHRAM · 2007 to 2021
$4.9M
Center for Critical Assessment of Genome InterpretationU24HG007346 · NHGRI · UNIVERSITY OF CALIFORNIA BERKELEY · PI BRENNER, STEVEN E, IOANNIDIS, NILAH MONNIER · 2020 to 2025
$3.8M
Supporting IGVF by modeling genetics, function, and phenotype with machine learningU01HG012022 · NHGRI · NORTHEASTERN UNIVERSITY · PI Predrag Radivojac · 2021 to 2026
$3.4M
Upgrading rigor and efficiency of germline cancer gene variant classification for the 2020sR01CA264971 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Sean Vahram Tavtigian · 2022 to 2026
$2.9M
Intramural NIH HHS ZIA HG200359NCI NIH HHS R01 CA121245NCI NIH HHS R01 CA264971NCI NIH HHS U24 CA258119NHGRI NIH HHS R13 HG006650NHGRI NIH HHS U01 HG011755NHGRI NIH HHS U01 HG012022NHGRI NIH HHS U24 HG006834NHGRI NIH HHS U24 HG007346NHGRI NIH HHS U24 HG009649NHGRI NIH HHS U24 HG009650NHGRI NIH HHS U24 HG011450NHGRI NIH HHS U41 HG009649NHGRI NIH HHS UM1 HG008900NLM NIH HHS K99 LM012992
6 · The paper itself

Abstract

Recommendations from the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP) for interpreting sequence variants specify the use of computational predictors as "supporting" level of evidence for pathogenicity or benignity using criteria PP3 and BP4, respectively. However, score intervals defined by tool developers, and ACMG/AMP recommendations that require the consensus of multiple predictors, lack quantitative support. Previously, we described a probabilistic framework that quantified the strengths of evidence (supporting, moderate, strong, very strong) within ACMG/AMP recommendations. We have extended this framework to computational predictors and introduce a new standard that converts a tool's scores to PP3 and BP4 evidence strengths. Our approach is based on estimating the local positive predictive value and can calibrate any computational tool or other continuous-scale evidence on any variant type. We estimate thresholds (score intervals) corresponding to each strength of evidence for pathogenicity and benignity for thirteen missense variant interpretation tools, using carefully assembled independent data sets. Most tools achieved supporting evidence level for both pathogenic and benign classification using newly established thresholds. Multiple tools reached score thresholds justifying moderate and several reached strong evidence levels. One tool reached very strong evidence level for benign classification on some variants. Based on these findings, we provide recommendations for evidence-based revisions of the PP3 and BP4 ACMG/AMP criteria using individual tools and future assessment of computational methods for clinical interpretation.

Indexed as

CalibrationConsensusEducational StatusHumansVirulenceACMG/AMP recommendationsclinical classificationcomputational predictorsin silico toolslikelihood ratioposterior probabilityPP3/BP4 criteriavariant interpretation

Identifiers

PMID36413997
PMCPMC9748256

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