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Comprehensive analysis and ACMG-based classification of CHEK2 variants in Spanish hereditary cancer patients

Authors :
Mireia Menéndez
José Marcos Moreno-Cabrera
Gabriel Capellá
Paula Rofes
Silvia Iglesias
Jesús del Valle
Eva Tornero
Adriana Lopez-Doriga
Matilde Navarro
Alex Teulé
Lídia Feliubadaló
Gardenia Vargas-Parra
Angela Velasco
Daniel Azuara
Marta Pineda
Rafael de Cid
Sara González
Raquel Cuesta
Conxi Lázaro
Joan Brunet
Olga Campos
Mireia Gausachs
Xavier Muñoz
Esther Darder
Agostina Stradella
Publication Year :
2020
Publisher :
Authorea, Inc., 2020.

Abstract

Background: CHEK2 variants are associated with intermediate breast cancer risk among other cancers. We aimed to comprehensively describe CHEK2 variants in a Spanish hereditary cancer (HC) cohort and adjust American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG-AMP) guidelines for their classification. Methods: First, three CHEK2 frequent variants were screened in a retrospective Hereditary Breast and Ovarian Cancer cohort of 516 patients. After, the whole CHEK2 coding region was analyzed by next-generation sequencing in 1,848 prospective patients with HC suspicion. We refined ACMGAMP criteria and applied different combinatorial rules to classify CHEK2 variants and define risk alleles. Results: We identified 10 CHEK2 null variants, 6 missense variants with discordant interpretation in ClinVar database, and 35 additional variants of unknown significance. Twelve variants were classified as (likely)-pathogenic; 2 can also be considered “established risk-alleles” and one as “likely risk-allele”. The prevalence of (likely)-pathogenic variants in the HC cohort was 0.8% (1.3% in breast cancer patients and 1.0% in hereditary non-polyposis colorectal cancer patients). Conclusions: Here we provide ACMG adjustment guidelines to classify CHEK2 variants. We hope that this work would be useful for variant classification of other genes with low effect variants

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........54b10f58c1c8851830b1ccfc697dbf7a
Full Text :
https://doi.org/10.22541/au.159050458.86704879