Evidence map›Paper›PMID 41126324›Full record

ReviewGenome medicine2025

A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome.

Cristina Fortuno, Megan N Frone, Jessica Mester, Miguel de la Hoya, Phuong L Mai, Tina Pesaran, Maria Isabel Achatz, Rebecca Bassett, Carolina Bustamante, Stephanie Crowley and 27 more

Abstract readReview
In one paragraph

Review in Genome medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A scalable approach to resolving variants of uncertain significance.bioRxiv : the preprint server for biology · 2026
    Article
  3. 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

37 authors.

Cristina Fortuno *Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. cristina.fortuno@qimrberghofer.edu.au.
Megan N Frone *Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. megan.frone@nih.gov.
Jessica MesterGeneDx, Gaithersburg, MD, USA.
Miguel de la HoyaMolecular Oncology Laboratory, Hospital Clinico San Carlos, Instituto de Investigación Sanitaria San Carlos (IdISSC), Madrid, Spain.
Phuong L MaiCenter for Clinical Genetics and Genomics, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, USA.
Tina PesaranAmbry Genetics, Aliso Viejo, CA, USA.
Maria Isabel AchatzCentro de Oncologia, Hospital Sírio-Libanês, São Paulo, Brazil.
Rebecca BassettMoanalua Medical Center, Hawaii Permanente Medical Group, Kaiser Permanente, Honolulu, HI, USA.
Carolina BustamanteOC Precision Medicine, São Paulo, Brazil.
Stephanie CrowleyInvitae Corporation, San Francisco, CA, USA.
Kelvin Cesar de AndradeClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
D Gareth EvansDivision of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Bingjian FengUniversity of Utah, Salt Lake City, UT, USA.
Laura FuquaBaylor Genetics, Houston, TX, USA.
Maria Isabel HarrellLabcorp Genetics (Formerly Invitae Corp), Burlington, NC, USA.
Jessica N HattonClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Robert HuetherTempus AI, Chicago, IL, USA.
Chimene KesserwanDepartment of Pathology, NYU Grossman School of Medicine, New York, NY, USA.
Kristy LeeDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Suzanne P MacFarlandDivision of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Jamie L MaciaszekDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Kara MaxwellDivision of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Kelly McGoldrickAmbry Genetics, Aliso Viejo, CA, USA.
Maureen MurphyProgram in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, USA.
Bita NehorayDivision of Clinical Cancer Genomics, Departments of Medical Oncology and Therapeutics Research and Population Sciences, City of Hope, Duarte, CA, USA.
Judith PenkertDepartment of Human Genetics, Hannover Medical School, Hannover, Germany.
Emilia Modolo PintoDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Sharon E PlonDan L. Duncan Cancer Center and the Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Alison Schwartz-LevineDivision of Cancer Genetics and Prevention, Dana-Farber Cancer Institute, Boston, MA, USA.
Ashley S ThompsonDepartment of Pathology, Microbiology, and Immunology, Molecular Diagnostics Section, Vanderbilt Medical Laboratories, Nashville, TN, USA.
Wenyi WangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Gerard P ZambettiDepartment of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Kristin ZelleyDivision of Oncology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Paul A JamesFamilial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
Sharon A SavageClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Christian P KratzPediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany.
Amanda B SpurdlePopulation Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.

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
ClinGen AI Data Delivery SupplementU24HG006834 · NHGRI · BROAD INSTITUTE, INC. · PI Marina DiStefano, CHRISTA LESE MARTIN · 2021 to 2026
$26.7M
Statistical methods for genomic analysis of heterogeneous tumorsR01CA268380 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Wenyi Wang · 2022 to 2026
$2.4M
Statistical methods and tools for cancer risk prediction in families with germline mutations in TP53R01CA239342 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI WANG, WENYI · 2019 to 2022
$1.5M
German Childhood Cancer Foundation (Grant 2024.03) and by the Federal Ministry of Education and Research Grant 01GM2205ANational Breast Cancer Foundation IIRS-21-102NCI NIH HHS R01 CA239342NCI NIH HHS R01 CA268380NHGRI NIH HHS U24 HG006834NHGRI NIH HHS U24 HG009649NHMRC Investigator Fellowship APP177524NIH HHS R01CA239342
6 · The paper itself

Abstract

backgroundGermline pathogenic variants in TP53 cause Li-Fraumeni syndrome, with significantly elevated cancer risk from infancy. Accurate classification of TP53 variants is essential to guide clinical management and surveillance, yet many variants remain classified as variants of uncertain significance (VUS). To improve classification accuracy and reduce the proportion of VUS, the ClinGen TP53 Variant Curation Expert Panel (VCEP) has updated its specifications.

methodsThe updated specifications incorporate the latest ClinGen recommendations and methodological advances, providing greater granularity for multiple evidence types, and also introduce the novel use of variant allele fraction as evidence of pathogenicity, particularly in the context of clonal hematopoiesis. Whenever feasible, the VCEP followed a data-driven approach using likelihood ratio-based quantitative analyses to guide code application and determine strength modifications, while also factoring in expert judgment. Proposed modifications were first discussed in working group meetings and then subjected to comprehensive review during monthly general VCEP meetings to reach consensus.

resultsThe performance of new specifications was compared to that of the old specifications for 43 pilot variants, and led to both decreased VUS and increased certainty, with clinically meaningful classifications for 93% of variants.

conclusionsThe updated TP53 specfications are expected to reduce VUS rates, increase inter-laboratory concordance, and improve medical management for individuals with germline TP53 variants. The most current version is available at the ClinGen Criteria Specifications Registry (CSpec): https://cspec.genome.network/cspec/ui/svi/svi/GN009 .

Indexed as

Germ-Line MutationLi-Fraumeni SyndromeTumor Suppressor Protein p53Bayes TheoremGenetic Predisposition to DiseaseHumansTP53 protein, humanTumor Suppressor Protein p53ACMG guidelinesClinGen Variant Curation Expert Panel (VCEP)Li-Fraumeni syndromeTP53

Identifiers

PMID41126324
PMCPMC12548217

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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.