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

Author:

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

Abstract

AbstractBackgroundPathogenic 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).MethodsA streamlined algorithm using theAPC-specific criteria was developed and applied to assess allAPCvariants in ClinVar and the InSiGHT international referenceAPCLOVD variant database.ResultsA 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.ConclusionsThe 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.

Publisher

Cold Spring Harbor Laboratory

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