{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"medRxiv"}],"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T18:09:35Z","timestamp":1785434975048,"version":"3.56.0"},"posted":{"date-parts":[[2026,7,13]]},"group-title":"Genetic and Genomic Medicine","reference-count":27,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T00:00:00Z","timestamp":1783900800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"award":["EDDPGM-Nov22\/100004"],"award-info":[{"award-number":["EDDPGM-Nov22\/100004"]}],"id":[{"id":"https:\/\/ror.org\/054225q67","id-type":"ROR","asserted-by":"publisher"}]},{"name":"National Institute for Health and Care Research Exeter Biomedical Research Centre","award":["NIHR203320"],"award-info":[{"award-number":["NIHR203320"]}]},{"award":["UM1HG011969"],"award-info":[{"award-number":["UM1HG011969"]}],"id":[{"id":"https:\/\/ror.org\/01cwqze88","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2026,7,13]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Large-scale functional assays, including multiplex assays of variant effect, have substantial potential to resolve variants of uncertain significance (VUS), particularly for rare missense variants where clinical and population evidence are limited. The ClinGen assay-level clinical validation framework described by Brnich et al provided baseline guidance for the use of functional data for variant classification. However, clear consensus regarding construction of variant \u2018truthsets\u2019 by which to clinically validate functional data remains lacking.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>CanVIG-UK developed consensus recommendations for truthset construction through an iterative national consultation process involving the CanVIG Steering Advisory Group (CStAG), wider CanVIG-UK membership, and engagement with international functional genomics experts. Consultation was based on previous analyses of 2,120 truthset constructions examining the impact of truthset composition on evidence point allocation within the ClinGen assay-level clinical validation framework.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Across several consultations, CanVIG-UK established nine guiding principles and seven best-practice recommendations for assay-level clinical validation, using the assumed context of an assay for a cancer susceptibility gene where loss-of-function is the mechanism of pathogenicity. The principal recommendation stipulates, where assays are intended for use in interpretation of largely missense variants, the truthset used to validate should comprise only missense variants. Rather than mixtures of different variant types which may serve to over-estimate assay performance. Additional recommendations support option for relaxation of truthset stringency to improve power, augmentation of benign missense truthsets with systematically derived \u2018proxy-clinical\u2019 benign variants, independent clinical validation separate from assayist-defined validation, and careful evaluation of missense score distributions against that of protein-truncating and synonymous variants. Guidance is also provided for scenarios with limited pathogenic truthset availability and for assays reporting multiple deleterious zones or readouts.<\/jats:p>\n                <\/jats:sec>\n                <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The CanVIG-UK principles and recommendations for truthset construction upon the ClinGen assay-level clinical validation framework, while aiming to form a baseline for future discussion regarding other functional and disease contexts and helping to address the gap between publication of new data and routine clinical implementation.<\/jats:p>\n                <\/jats:sec>","DOI":"10.64898\/2026.07.10.26357770","type":"posted-content","created":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T06:05:30Z","timestamp":1784009130000},"source":"Crossref","is-referenced-by-count":0,"title":["\u2018Truthsets\u2019 for clinical validation of large-scale functional assays: Practice recommendations from Cancer Variant Interpretation Group UK (CanVIG-UK)"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4928-2240","authenticated-orcid":false,"given":"Sophie","family":"Allen","sequence":"first","affiliation":[{"name":"Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5333-4846","authenticated-orcid":false,"given":"Charlie F.","family":"Rowlands","sequence":"additional","affiliation":[{"name":"Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8942-283X","authenticated-orcid":false,"given":"Alice","family":"Garrett","sequence":"additional","affiliation":[{"name":"Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK"},{"name":"St George\u2019s University Hospitals NHS 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