Résumé
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.
langue originale | Anglais |
---|---|
Pages (de - à) | 1907-1923 |
Nombre de pages | 17 |
journal | American Journal of Human Genetics |
Volume | 108 |
Numéro de publication | 10 |
Les DOIs | |
état | Publié - 7 oct. 2021 |
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Dans: American Journal of Human Genetics, Vol 108, Numéro 10, 07.10.2021, p. 1907-1923.
Résultats de recherche: Contribution à un journal › Article › Revue par des pairs
TY - JOUR
T1 - Classification of 101 BRCA1 and BRCA2 variants of uncertain significance by cosegregation study
T2 - A powerful approach
AU - Caputo, Sandrine M.
AU - Golmard, Lisa
AU - Léone, Mélanie
AU - Damiola, Francesca
AU - Guillaud-Bataille, Marine
AU - Revillion, Françoise
AU - Rouleau, Etienne
AU - Derive, Nicolas
AU - Buisson, Adrien
AU - Basset, Noémie
AU - Schwartz, Mathias
AU - Vilquin, Paul
AU - Garrec, Celine
AU - Privat, Maud
AU - Gay-Bellile, Mathilde
AU - Abadie, Caroline
AU - Abidallah, Khadija
AU - Airaud, Fabrice
AU - Allary, Anne Sophie
AU - Barouk-Simonet, Emmanuelle
AU - Belotti, Muriel
AU - Benigni, Charlotte
AU - Benusiglio, Patrick R.
AU - Berthemin, Christelle
AU - Berthet, Pascaline
AU - Bertrand, Ophelie
AU - Bézieau, Stéphane
AU - Bidart, Marie
AU - Bignon, Yves Jean
AU - Birot, Anne Marie
AU - Blanluet, Maud
AU - Bloucard, Amelie
AU - Bombled, Johny
AU - Bonadona, Valerie
AU - Bonnet, Françoise
AU - Bonnet-Dupeyron, Marie Noëlle
AU - Boulaire, Manon
AU - Boulouard, Flavie
AU - Bouras, Ahmed
AU - Bourdon, Violaine
AU - Brahimi, Afane
AU - Brayotel, Fanny
AU - Bressac de Paillerets, Brigitte
AU - Bronnec, Noémie
AU - Bubien, Virginie
AU - Buecher, Bruno
AU - Cabaret, Odile
AU - Carriere, Jennifer
AU - Chiesa, Jean
AU - Chieze-Valéro, Stephanie
AU - Cohen, Camille
AU - Cohen-Haguenauer, Odile
AU - Colas, Chrystelle
AU - Collonge-Rame, Marie Agnès
AU - Conoy, Anne Laure
AU - Coulet, Florence
AU - Coupier, Isabelle
AU - Crivelli, Louise
AU - Cusin, Véronica
AU - De Pauw, Antoine
AU - Dehainault, Catherine
AU - Delhomelle, Hélène
AU - Delnatte, Capucine
AU - Demontety, Sophie
AU - Denizeau, Philippe
AU - Devulder, Pierre
AU - Dreyfus, Helene
AU - d'Enghein, Catherine Dubois
AU - Dupré, Anaïs
AU - Durlach, Anne
AU - Dussart, Sophie
AU - Fajac, Anne
AU - Fekairi, Samira
AU - Fert-Ferrer, Sandra
AU - Fiévet, Alice
AU - Fouillet, Robin
AU - Mouret-Fourme, Emmanuelle
AU - Gauthier-Villars, Marion
AU - Gesta, Paul
AU - Giraud, Sophie
AU - Gladieff, Laurence
AU - Goldbarg, Veronica
AU - Goussot, Vincent
AU - Guibert, Virginie
AU - Guillerm, Erell
AU - Guy, Christophe
AU - Hardouin, Agnès
AU - Heude, Céline
AU - Houdayer, Claude
AU - Ingster, Olivier
AU - Jacquot-Sawka, Caroline
AU - Jones, Natalie
AU - Krieger, Sophie
AU - Lacoste, Sofiane
AU - Lallaoui, Hakima
AU - Larbre, Helene
AU - Laugé, Anthony
AU - Le Guyadec, Gabrielle
AU - Le Mentec, Marine
AU - Lecerf, Caroline
AU - Le Gall, Jessica
AU - Legendre, Bérengère
AU - Legrand, Clémentine
AU - Legros, Angélina
AU - Lejeune, Sophie
AU - Lidereau, Rosette
AU - Lignon, Norbert
AU - Limacher, Jean Marc
AU - Doriane Livon, Livon
AU - Lizard, Sarab
AU - Longy, Michel
AU - Lortholary, Alain
AU - Macquere, Pierre
AU - Mailliez, Audrey
AU - Malsa, Sarah
AU - Margot, Henri
AU - Mari, Véronique
AU - Maugard, Christine
AU - Meira, Cindy
AU - Menjard, Julie
AU - Molière, Diane
AU - Moncoutier, Virginie
AU - Moretta-Serra, Jessica
AU - Muller, Etienne
AU - Nevière, Zoe
AU - Nguyen Minh Tuan, Thien vu
AU - Noguchi, Tetsuro
AU - Noguès, Catherine
AU - Oca, Florine
AU - Popovici, Cornel
AU - Prieur, Fabienne
AU - Raad, Sabine
AU - Rey, Jean Marc
AU - Ricou, Agathe
AU - Salle, Lucie
AU - Saule, Claire
AU - Sevenet, Nicolas
AU - Simaga, Fatoumata
AU - Sobol, Hagay
AU - Suybeng, Voreak
AU - Tennevet, Isabelle
AU - Tenreiro, Henrique
AU - Tinat, Julie
AU - Toulas, Christine
AU - Turbiez, Isabelle
AU - Uhrhammer, Nancy
AU - Vande Perre, Pierre
AU - Vaur, Dominique
AU - Venat, Laurence
AU - Viellard, Nicolas
AU - Villy, Marie Charlotte
AU - Warcoin, Mathilde
AU - Yvard, Alice
AU - Zattara, Helene
AU - Caron, Olivier
AU - Lasset, Christine
AU - Remenieras, Audrey
AU - Boutry-Kryza, Nadia
AU - Castéra, Laurent
AU - Stoppa-Lyonnet, Dominique
N1 - Publisher Copyright: © 2021 American Society of Human Genetics
PY - 2021/10/7
Y1 - 2021/10/7
N2 - 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.
AB - 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.
KW - BRCA1
KW - BRCA2
KW - classification
KW - clinical
KW - cosegregation data
KW - multifactorial model
KW - variant of uncertain significance
UR - http://www.scopus.com/inward/record.url?scp=85116856057&partnerID=8YFLogxK
U2 - 10.1016/j.ajhg.2021.09.003
DO - 10.1016/j.ajhg.2021.09.003
M3 - Article
C2 - 34597585
AN - SCOPUS:85116856057
SN - 0002-9297
VL - 108
SP - 1907
EP - 1923
JO - American Journal of Human Genetics
JF - American Journal of Human Genetics
IS - 10
ER -