Evidence map›Paper›PMID 40925377›Full record

ArticleAmerican journal of human genetics2025

Availability of benign missense variant "truthsets" for validation of functional assays: Current status and a systematic approach.

Charlie F Rowlands, Sophie Allen, Alice Garrett, Miranda Durkie, George J Burghel, Rachel Robinson, Alison Callaway, Joanne Field, Bethan Frugtniet, Sheila Palmer-Smith and 8 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

18 authors.

Charlie F RowlandsDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Sophie AllenDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
Alice GarrettDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; St George's University Hospitals NHS Foundation Trust, Tooting, London, UK.
Miranda DurkieSheffield Diagnostic Genetics Service, NEY Genomic Laboratory Hub, Sheffield Children's NHS Foundation Trust, Sheffield, UK.
George J BurghelManchester Centre for Genomic Medicine and NW Laboratory Genetics Hub, Manchester University Hospitals NHS Foundation Trust, Manchester, UK; Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Rachel RobinsonYorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
Alison CallawayCentral and South Genomics Laboratory Hub, Wessex Genomics Laboratory Service, University Hospital Southampton NHS Foundation Trust, Salisbury, UK.
Joanne FieldGenomics and Molecular Medicine Service, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Bethan FrugtnietSt George's University Hospitals NHS Foundation Trust, Tooting, London, UK.
Sheila Palmer-SmithWales Genomic Health Centre, Cardiff and Vale University Health Board, Cardiff, UK.
Jonathan GrantLaboratory Genetics, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, UK.
Judith PaganSouth East Scotland Clinical Genetics, Western General Hospital, Edinburgh, UK.
Trudi McDevittDepartment of Clinical Genetics, CHI at Crumlin, Dublin, Ireland.
Katie SnapeSt George's University Hospitals NHS Foundation Trust, Tooting, London, UK.
Helen HansonPeninsula Regional Genetics Service, Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK; Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK.
Terri McVeighThe Royal Marsden NHS Foundation Trust, Fulham Road, London, UK.
Clare TurnbullDivision of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, Fulham Road, London, UK. Electronic address: turnbull.lab@icr.ac.uk.
CanVIG-UK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiplex assays of variant effect (MAVEs) provide promising new sources of functional evidence, potentially empowering improved classification of germline genomic variants, particularly rare missense variants, which are commonly assigned as variants of uncertain significance (VUSs). However, paradoxically, quantification of clinically applicable evidence strengths for MAVEs requires construction of "truthsets" comprising missense variants already robustly classified as pathogenic and benign. In this study, we demonstrate how benign truthset size is the primary driver of applicable functional evidence toward pathogenicity (PS3). We demonstrate, when using existing ClinVar classifications as a source of benign missense truthset variants, that only 19.8% (23/116) of established cancer susceptibility genes had a PS3 evidence strength of "strong" attainable when simulating validation for a hypothetical new MAVE (also applying favorable assumption of perfect concordance). We describe a systematic framework for benign truthset construction in which all possible missense variants in a gene of interest are concurrently assessed for assignation of (likely) benignity via established ACMG/AMP combination rules, including population frequency, in silico evidence codes, and case-control signal. We apply this framework to eight hereditary breast and ovarian cancer genes, demonstrating that systematically generated benign missense truthsets allow maximum application of PS3 at greater (or equivalent) strength-reaching "moderate" for CHEK2 and "strong" for the other seven genes-than those derived from ClinVar ≥2

Indexed as

Mutation, MissenseBreast NeoplasmsFemaleGenetic Predisposition to DiseaseGenetic TestingGerm-Line MutationHumansACMGassay validationBrnichClinVarfunctional dataMAVEsPS3truth setsvariant interpretation

Identifiers

PMID40925377
PMCPMC12696494

What Socratic holds

Textmetadata
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 Socratic graph.