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

Rowlands, C. F.
Allen, S.
Garrett, A.
Durkie, M.
Burghel, G. J.
Robinson, R.
Callaway, A.
Field, J.
Frugtniet, B.
Palmer-Smith, S.
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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(∗) classifications alone. We propose, given many genes have few existing benign-classified missense variants, that the application of this systematic framework to disease genes more broadly will be important for leveraging full value from MAVEs.
Affiliation
Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK. Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; St George's University Hospitals NHS Foundation Trust, Tooting, London, UK. Sheffield Diagnostic Genetics Service, NEY Genomic Laboratory Hub, Sheffield Children's NHS Foundation Trust, Sheffield, UK. Manchester 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. Yorkshire Regional Genetics Service, Leeds Teaching Hospitals NHS Trust, Leeds, UK. Central and South Genomics Laboratory Hub, Wessex Genomics Laboratory Service, University Hospital Southampton NHS Foundation Trust, Salisbury, UK. Genomics and Molecular Medicine Service, Nottingham University Hospitals NHS Trust, Nottingham, UK. St George's University Hospitals NHS Foundation Trust, Tooting, London, UK. Wales Genomic Health Centre, Cardiff and Vale University Health Board, Cardiff, UK. Laboratory Genetics, Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde, Glasgow, UK. South East Scotland Clinical Genetics, Western General Hospital, Edinburgh, UK. Department of Clinical Genetics, CHI at Crumlin, Dublin, Ireland. Peninsula 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. The Royal Marsden NHS Foundation Trust, Fulham Road, London, UK. Division 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.
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2025
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Article
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Rowlands CF, Allen S, Garrett A, Durkie M, Burghel GJ, Robinson R, et al. Availability of benign missense variant "truthsets" for validation of functional assays: Current status and a systematic approach. American journal of human genetics. 2025 Oct 2;112(10):2281-94. PubMed PMID: 40925377. Epub 2025/09/10. eng.
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