| Literature DB >> 34597585 |
Sandrine M Caputo1, Lisa Golmard2, Mélanie Léone3, Francesca Damiola4, Marine Guillaud-Bataille5, Françoise Revillion6, Etienne Rouleau5, Nicolas Derive2, Adrien Buisson3, Noémie Basset7, Mathias Schwartz2, Paul Vilquin8, Celine Garrec9, Maud Privat10, Mathilde Gay-Bellile11, Caroline Abadie12, Khadija Abidallah2, Fabrice Airaud9, Anne-Sophie Allary13, Emmanuelle Barouk-Simonet14, Muriel Belotti15, Charlotte Benigni16, Patrick R Benusiglio17, Christelle Berthemin2, Pascaline Berthet18, Ophelie Bertrand19, Stéphane Bézieau9, Marie Bidart20, Yves-Jean Bignon21, Anne-Marie Birot22, Maud Blanluet2, Amelie Bloucard2, Johny Bombled5, Valerie Bonadona23, Françoise Bonnet14, Marie-Noëlle Bonnet-Dupeyron24, Manon Boulaire6, Flavie Boulouard25, Ahmed Bouras3, Violaine Bourdon13, Afane Brahimi26, Fanny Brayotel27, Brigitte Bressac de Paillerets5, Noémie Bronnec28, Virginie Bubien14, Bruno Buecher29, Odile Cabaret5, Jennifer Carriere2, Jean Chiesa30, Stephanie Chieze-Valéro31, Camille Cohen32, Odile Cohen-Haguenauer32, Chrystelle Colas2, Marie-Agnès Collonge-Rame33, Anne-Laure Conoy6, Florence Coulet7, Isabelle Coupier8, Louise Crivelli34, Véronica Cusin7, Antoine De Pauw2, Catherine Dehainault2, Hélène Delhomelle19, Capucine Delnatte35, Sophie Demontety29, Philippe Denizeau36, Pierre Devulder18, Helene Dreyfus37, Catherine Dubois d'Enghein2, Anaïs Dupré14, Anne Durlach38, Sophie Dussart23, Anne Fajac39, Samira Fekairi13, Sandra Fert-Ferrer40, Alice Fiévet5, Robin Fouillet25, Emmanuelle Mouret-Fourme19, Marion Gauthier-Villars29, Paul Gesta31, Sophie Giraud41, Laurence Gladieff42, Veronica Goldbarg43, Vincent Goussot44, Virginie Guibert9, Erell Guillerm7, Christophe Guy29, Agnès Hardouin25, Céline Heude18, Claude Houdayer2, Olivier Ingster45, Caroline Jacquot-Sawka46, Natalie Jones14, Sophie Krieger47, Sofiane Lacoste29, Hakima Lallaoui48, Helene Larbre27, Anthony Laugé29, Gabrielle Le Guyadec49, Marine Le Mentec29, Caroline Lecerf29, Jessica Le Gall2, Bérengère Legendre6, Clémentine Legrand50, Angélina Legros25, Sophie Lejeune26, Rosette Lidereau29, Norbert Lignon42, Jean-Marc Limacher51, Sarab Lizard52, Michel Longy14, Alain Lortholary53, Pierre Macquere14, Audrey Mailliez6, Sarah Malsa54, Henri Margot14, Véronique Mari55, Christine Maugard56, Cindy Meira6, Julie Menjard57, Diane Molière22, Virginie Moncoutier2, Jessica Moretta-Serra58, Etienne Muller47, Zoe Nevière18, Thien-Vu Nguyen Minh Tuan2, Tetsuro Noguchi13, Catherine Noguès58, Florine Oca6, Cornel Popovici13, Fabienne Prieur59, Sabine Raad14, Jean-Marc Rey8, Agathe Ricou47, Lucie Salle31, Claire Saule19, Nicolas Sevenet14, Fatoumata Simaga29, Hagay Sobol13, Voreak Suybeng29, Isabelle Tennevet60, Henrique Tenreiro29, Julie Tinat28, Christine Toulas61, Isabelle Turbiez62, Nancy Uhrhammer11, Pierre Vande Perre61, Dominique Vaur47, Laurence Venat63, Nicolas Viellard29, Marie-Charlotte Villy29, Mathilde Warcoin29, Alice Yvard53, Helene Zattara6, Olivier Caron43, Christine Lasset23, Audrey Remenieras13, Nadia Boutry-Kryza3, Laurent Castéra47, Dominique Stoppa-Lyonnet64.
Abstract
Up to 80% of BRCA1 and BRCA2 genetic variants remain of uncertain clinical significance (VUSs). Only variants classified as pathogenic or likely pathogenic can guide breast and ovarian cancer prevention measures and treatment by PARP inhibitors. We report the first results of the ongoing French national COVAR (cosegregation variant) study, the aim of which is to classify BRCA1/2 VUSs. The classification method was a multifactorial model combining different associations between VUSs and cancer, including cosegregation data. At this time, among the 653 variants selected, 101 (15%) distinct variants shared by 1,624 families were classified as pathogenic/likely pathogenic or benign/likely benign by the COVAR study. Sixty-six of the 101 (65%) variants classified by COVAR would have remained VUSs without cosegregation data. Of note, among the 34 variants classified as pathogenic by COVAR, 16 remained VUSs or likely pathogenic when following the ACMG/AMP variant classification guidelines. Although the initiation and organization of cosegregation analyses require a considerable effort, the growing number of available genetic tests results in an increasing number of families sharing a particular variant, and thereby increases the power of such analyses. Here we demonstrate that variant cosegregation analyses are a powerful tool for the classification of variants in the BRCA1/2 breast-ovarian cancer predisposition genes.Entities:
Keywords: BRCA1; BRCA2; classification; clinical; cosegregation data; multifactorial model; variant of uncertain significance
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Year: 2021 PMID: 34597585 PMCID: PMC8546044 DOI: 10.1016/j.ajhg.2021.09.003
Source DB: PubMed Journal: Am J Hum Genet ISSN: 0002-9297 Impact factor: 11.025