Validating data from Multiplex Assays of Variant Effect (MAVEs): A CanVIG-UK National Survey of NHS Clinical Scientists
Sophie AlleniD, Alice GarrettiD, Charlie F RowlandsiD, Miranda DurkieiD, George J. BurgheliD, Rachel RobinsoniD, Alison CallawayiD, Joanne Field, Bethan A. Frugtniet, Sheila Palmer-Smith, Jonathan GrantiD, Judith Pagan, Trudi McDevittiD, Katie M.G. SnapeiD, Helen HansoniD, Terri Patricia McVeighiD, David J. AdamsiD, Gregory M. FindlayiD, Rehan Marie VillaniiD, Amanda B. SpurdleiD, Clare TurnbulliD, CanVIG-UK
Abstract
Advances in technology have made possible Multiplex Assays of Variant Effect (MAVEs), systematically generating functional data for many thousands of genetic variants. Robust clinical validation and accessible online resources for MAVE data have previously been identified as barriers to clinical adoption of new MAVEs. We delivered a survey during the November 2024 Cancer Variant Interpretation Group (CanVIG-UK) meeting comprising NHS clinical scientists and clinical geneticists, and received 46 responses from individuals regularly performing variant classification for diagnostic reporting. Only 35% reported they would accept clinical validation of the MAVE provided by its authors: 20% reported they would attempt clinical validation themselves whilst 61% would await clinical validation by a trusted central body. 72% reported they would use MAVE data ahead of formal peer-reviewed publication if reviewed and clinically validated by a trusted central body. When scoring such central bodies on a scale 1-5 for confidence in their review and validation of MAVEs, CanVIG-UK (median=5), VCEPs (median=5) and ClinGen SVI Functional Working Group (median=4) all scored highly. Participants supported making variant-level data accessible via a relevant web resource (although the majority of participants expressed that additional assay-level or variant-level information would have a low likelihood to alter validation scores provided by a trusted central body). These findings, from a comparatively homogenous clinical diagnostic group operating in a resource-constrained healthcare setting, indicate that clinical application of new MAVEs for variant classification will be delayed unless robust clinical validations are performed by a trusted central body and made readily accessible.
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