Systematic large-scale application of ClinGen InSiGHTAPC-specific ACMG/AMP variant classification criteria substantially alleviates the burden of variants of uncertain significance in ClinVar and LOVD databases

Xiaoyu Yin,Marcy E. Richardson,Andreas Laner,Xuemei Shi, Elisabet Ognedal, Valeria Vasta, Thomas v. O. Hansen, Marta Pienda,Deborah Ritter,Johan T. den Dunnen, Emadeldin Hassanin, Wencong Lyman Lin,Ester Borras, Karl Krahn, Margareta Nordling,Alexandra Martins,Khalid Mahmood, Emily A.W. Nadeau, Victoria Beshay, Carli Tops,Maurizio Genuardi,Tina Pesaran,Ian M. Frayling,Gabriel Capellá,Andrew Latchford,Sean V. Tavtigian,Carlo Maj,Sharon E. Plon,Marc S. Greenblatt,Finlay A. Macrae,Isabel Spier,Stefan Aretz

crossref(2024)

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摘要
Background: Pathogenic constitutionalAPCvariants underlie familial adenomatous polyposis, the most common hereditary gastrointestinal polyposis syndrome. To improve variant classification and resolve the interpretative challenges of variants of uncertain significance (VUS),APC-specific ACMG/AMP variant classification criteria were developed by the ClinGen-InSiGHT Hereditary Colorectal Cancer/Polyposis Variant Curation Expert Panel (VCEP).Methods: A streamlined algorithm using theAPC-specific criteria was developed and applied to assess allAPCvariants in ClinVar and the InSiGHT international referenceAPCLOVD variant database.Results: A total of 10,228 uniqueAPCvariants were analysed. Among the ClinVar and LOVD variants with an initial classification of (Likely) Benign or (Likely) Pathogenic, 94% and 96% remained in their original categories, respectively. In contrast, 41% ClinVar and 61% LOVD VUS were reclassified into clinically actionable classes, the vast majority as (Likely) Benign. The total number of VUS was reduced by 37%. In 21 out of 36 (58%) promisingAPCvariants that remained VUS despite evidence for pathogenicity, a data mining-driven work-up allowed their reclassification as (Likely) Pathogenic.Conclusions: The application ofAPC-specific criteria substantially reduced the number of VUS in ClinVar and LOVD. The study also demonstrated the feasibility of a systematic approach to variant classification in large datasets, which might serve as a generalisable model for other gene-/disease-specific variant interpretation initiatives. It also allowed for the prioritization of VUS that will benefit from in-depth evidence collection. This subset ofAPCvariants was approved by the VCEP and made publicly available through ClinVar and LOVD for widespread clinical use.
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