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1. Classification of 101 BRCA1 and BRCA2 variants of uncertain significance by cosegregation study: A powerful approach

Author

Marie-Noëlle Bonnet-Dupeyron, Helene Dreyfus, Nadia Boutry-Kryza, Cornel Popovici, Laurent Castera, Nancy Uhrhammer, Anthony Laugé, Yves-Jean Bignon, Hélène Delhomelle, Alice Fiévet, Christophe Guy, Noémie Bronnec, Bruno Buecher, Fabienne Prieur, Sophie Demontety, Vincent Goussot, Emmanuelle Mouret-Fourme, Claire Saule, Helene Zattara, Sarah Malsa, Paul Gesta, Cindy Meira, Erell Guillerm, Isabelle Turbiez, Agathe Ricou, Mélanie Léoné, Pierre Vande Perre, Sarab Lizard, Pascaline Berthet, Norbert Lignon, Adrien Buisson, Anne-Marie Birot, Philippe Denizeau, Etienne Rouleau, Odile Cohen-Haguenauer, Veronica Goldbarg, Virginie Moncoutier, Charlotte Benigni, Emmanuelle Barouk-Simonet, Flavie Boulouard, Caroline Jacquot-Sawka, Alice Yvard, Hakima Lallaoui, Veronica Cusin, Angélina Legros, Muriel Belotti, Christine Maugard, Marine Guillaud-Bataille, Jean-Marc Limacher, Marion Gauthier-Villars, Louise Crivelli, Afane Brahimi, Odile Cabaret, Ophelie Bertrand, Michel Longy, Gabrielle Le Guyadec, Doriane Livon, Amelie Bloucard, Dominique Stoppa-Lyonnet, Capucine Delnatte, Caroline Lecerf, Jennifer Carriere, Virginie Guibert, Véronique Mari, Anne-Sophie Allary, Florence Coulet, Françoise Bonnet, Paul Vilquin, Noémie Basset, Khadija Abidallah, Pierre Macquere, Nicolas Derive, Manon Boulaire, Stephanie Chieze-Valéro, Marine Le Mentec, Mathilde Gay-Bellile, Anne-Laure Conoy, Henri Margot, Pierre Devulder, Mathias Schwartz, Isabelle Tennevet, Stéphane Bézieau, Francesca Damiola, Violaine Bourdon, Audrey Mailliez, Zoe Nevière, Nicolas Viellard, Laurence Venat, Antoine De Pauw, Brigitte Bressac-de Paillerets, Agnès Hardouin, Sofiane Lacoste, Sandra Fert-Ferrer, Maud Privat, Helene Larbre, Dominique Vaur, Etienne Muller, Françoise Revillion, Clémentine Legrand, Rosette Lidereau, Laurence Gladieff, Sabine Raad, Jean Chiesa, Diane Molière, Ahmed Bouras, Nicolas Sevenet, Patrick R. Benusiglio, Sophie Giraud, Christine Toulas, Voreak Suybeng, Florine Oca, Tetsuro Noguchi, Catherine Dehainault, Sophie Lejeune, Céline Heude, Catherine Dubois d’Enghein, Thien-vu Nguyen Minh Tuan, Olivier Caron, Mathilde Warcoin, Christine Lasset, Claude Houdayer, Jessica Moretta-Serra, Julie Tinat, Hagay Sobol, Natalie Jones, Fanny Brayotel, Anne Fajac, Virginie Bubien, Maud Blanluet, Jean-Marc Rey, Anne Durlach, Sandrine M. Caputo, Isabelle Coupier, Fatoumata Simaga, Sophie Krieger, Catherine Noguès, Fabrice Airaud, Robin Fouillet, Celine Garrec, Valérie Bonadona, Julie Menjard, Bérengère Legendre, Chrystelle Colas, Christelle Berthemin, Camille Cohen, Caroline Abadie, Olivier Ingster, Audrey Remenieras, Anaïs Dupré, Jessica Le Gall, Lisa Golmard, Marie Bidart, Henrique Tenreiro, J Bombled, Marie-Charlotte Villy, Marie-Agnès Collonge-Rame, Sophie Dussart, Alain Lortholary, Lucie Salle, Samira Fekairi, Service de Génétique Oncologique, Institut Curie [Paris], Université Paris sciences et lettres (PSL), Département de Biologie des Tumeurs, Unité de génétique et biologie des cancers (U830), Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Hospices Civils de Lyon (HCL), Centre Léon Bérard [Lyon], CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Institut Gustave Roussy (IGR), Génétique (Biologie pathologie), Département de biologie et pathologie médicales [Gustave Roussy], Institut Gustave Roussy (IGR)-Institut Gustave Roussy (IGR), Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Hopital Saint-Louis [AP-HP] (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre hospitalier universitaire de Nantes (CHU Nantes), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne (UCA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Centre de Références Cancers Rares (PREDIR), INCA, Institut national du cancer [Boulogne] (INCA), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Institut de Cancérologie de l'Ouest [Angers/Nantes] (UNICANCER/ICO), Centre Hospitalier Universitaire de Reims (CHU Reims), dormoy, valerian, Unité fonctionnelle de neurogénétique moléculaire et cellulaire, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and Service de Génétique Cytogénétique et Embryologie [CHU Pitié-Salpêtrière]

Subjects
Cosegregation, Genotype, [SDV]Life Sciences [q-bio], Breast Neoplasms, Biology, Article, 03 medical and health sciences, Likely benign, Genetics, medicine, Humans, Clinical significance, Genetic Predisposition to Disease, Genetic Testing, Uncertain significance, Gene, ComputingMilieux_MISCELLANEOUS, Genetics (clinical), 030304 developmental biology, BRCA2 Protein, Ovarian Neoplasms, 0303 health sciences, Cancer predisposition, BRCA1 Protein, 030305 genetics & heredity, Cancer, Genetic Variation, medicine.disease, 3. Good health, [SDV] Life Sciences [q-bio], Classification methods, Female
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.

Published
2021
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2. The Spectrum of FANCM Protein Truncating Variants in European Breast Cancer Cases

Author

Johanna I. Kiiski, Miguel Urioste, Melissa C. Southey, Ramunas Janavicius, Finn Cilius Nielsen, Ana Vega, Irene Konstantopoulou, Ana Blanco, Jesús del Valle, Joan Brunet, Emma Tham, Daniele Calistri, Esther Darder, Taru A. Muranen, Maria Rossing, Åke Borg, Aleksander Myszka, Marketa Janatova, Drakoulis Yannoukakos, Laura Papi, Paolo Peterlongo, Bernardo Bonanni, Florentia Fostira, Catarina Santos, Séverine Eon-Marchais, Anders Kvist, Petra Kleiblova, Snezhana Smichkoska, Manuel R. Teixeira, Vilius Rudaitis, Dijana Plaseska-Karanfilska, Conxi Lázaro, Alicia Barroso, Ugnius Mickys, Mariarosaria Calvello, Edith Olah, Virginie Moncoutier, Zdenek Kleibl, Nadine Andrieu, Rimvydas Norvilas, Stepan Chvojka, Paolo Radice, Jana Soukupova, Birgitte Bertelsen, Siranoush Manoukian, Claude Houdayer, Marta Santamariña, Bernard Peissel, Zdenka Vlckova, Ana Osorio, Laura Cortesi, Jacopo Azzollini, Katerina Kubelka-Sabit, Fabienne Lesueur, Valentina Zampiga, Tu Nguyen-Dumont, Javier Benitez, Gisella Figlioli, Hans Ehrencrona, Orland Diez, Therese Törngren, Judith Balmaña, Francesca Gensini, Ruta Marcinkute, Timea Pocza, Angela Toss, Dominique Stoppa-Lyonnet, Ana Peixoto, Heli Nevanlinna, Institut Català de la Salut, [Figlioli G] Genome Diagnostics Program, IFOM - the FIRC Institute for Molecular Oncology, Milan, Italy. [Kvist A] Division of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden. [Tham E] Department of Clinical Genetics, Karolinska University Hospital and Department of Molecular Medicine, Karolinska Institutet, Stockholm, Sweden. [Soukupova J] Institute of Biochemistry and Experimental Oncology, First Faculty of Medicine, Charles University, Prague, Czech Republic. [Kleiblova P] Institute of Biology and Medical Genetics, General University Hospital and First Faculty of Medicine, Charles University, Prague, Czech Republic. [Muranen TA] Department of Obstetrics and Gynecology, Helsinki University Hospital and University of Helsinki, HUS, Helsinki, Finland. [Balmaña J] Hereditary Cancer Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Servei d’Oncologia Mèdica, Vall d’Hebron Hospital Universitari, Barcelona, Spain. [Diez O] Hereditary Cancer Group, Vall d’Hebron Institute of Oncology (VHIO), Barcelona, Spain. Àrea de Genètica Clínica i Molecular, Vall d’Hebron Hospital Universitari, Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus, Italian Association for Cancer Research, Fondazione Umberto Veronesi, Ministero della Salute (Italia), Region Stockholm (ALF), Ministry of Health (República Checa), Unión Europea. Comisión Europea, Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red - CIBERER (Enfermedades Raras), French National Institute of Cancer (INCa grant), National Health and Medical Research Council (Australia), Hungarian Research Grants, Lietuvos Mokslo Taryba (Lituania), Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF), Associazione Italiana per la Ricerca sul Cancro (AIRC), Ministry of Health, Italy, Ministry of Health, Czech Republic, European Commission, Instituto de Salud Carlos III - ISCIII, Spanish Network on Rare Diseases (CIBERER), National Health and Medical Research Council of Australia, Research Council of Lithuania (LMTLT), European Regional Development Fund (ERDF/FEDER), HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Helsinki University Hospital Area, University of Helsinki, INDIVIDRUG - Individualized Drug Therapy, and Clinicum

Subjects
0301 basic medicine, Oncology, Cancer Research, Breast cancer risk factors, Neoplasms::Neoplasms by Site::Breast Neoplasms [DISEASES], ptvs, Càncer - Aspectes genètics, Basic medicine, Breast cancer, 0302 clinical medicine, Mama - Càncer, hemic and lymphatic diseases, FANCM, Breast cancer predisposition, FANCM truncating variants, Mutation spectrum, PTVs, RISK, neoplasias::neoplasias por localización::neoplasias de la mama [ENFERMEDADES], Factors de risc en les malalties, Otros calificadores::Otros calificadores::/genética [Otros calificadores], FANCM GENE, lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens, 3. Good health, 030220 oncology & carcinogenesis, Gene sequence, congenital, hereditary, and neonatal diseases and abnormalities, medicine.medical_specialty, Risk factors in diseases, 3122 Cancers, lcsh:RC254-282, fancm truncating variants, Càncer de mama, breast cancer predisposition, breast cancer risk factors, mutation spectrum, 03 medical and health sciences, Internal medicine, Other subheadings::Other subheadings::/genetics [Other subheadings], medicine, ANEMIA, Allele frequency, Female breast cancer, MUTATIONS, business.industry, nutritional and metabolic diseases, BRCA1, medicine.disease, GENE, 030104 developmental biology, Clinical medicine, C.5791C-GREATER-THAN-T, FANCM Protein, business
Abstract

Germline protein truncating variants (PTVs) in the FANCM gene have been associated with a 2&ndash, 4-fold increased breast cancer risk in case-control studies conducted in different European populations. However, the distribution and the frequency of FANCM PTVs in Europe have never been investigated. In the present study, we collected the data of 114 European female breast cancer cases with FANCM PTVs ascertained in 20 centers from 13 European countries. We identified 27 different FANCM PTVs. The p.Gln1701* PTV is the most common PTV in Northern Europe with a maximum frequency in Finland and a lower relative frequency in Southern Europe. On the contrary, p.Arg1931* seems to be the most common PTV in Southern Europe. We also showed that p.Arg658*, the third most common PTV, is more frequent in Central Europe, and p.Gln498Thrfs*7 is probably a founder variant from Lithuania. Of the 23 rare or unique FANCM PTVs, 15 have not been previously reported. We provide here the initial spectrum of FANCM PTVs in European breast cancer cases.

Published
2020
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3. Functional classification of ATM variants in ataxia-telangiectasia patients

Author

Khadija Abidallah, Felipe Suarez, Emmanuelle Ginglinger, Bertrand Degos, Céline Bellesme, Jean‐Paul Carriere, Nizar Mahlaoui, Guillaume Rieunier, Dorine Bellanger, Patrick Calvas, Olivier Flabeau, Dominique Stoppa-Lyonnet, Christelle Rougeot, Diane Doummar, Noel Philippe, Nathalie Auger, Virginie Moncoutier, Michèle Mathieu-Dramard, Christine Ioos, Anna Castrioto, Marie Hully, Béatrice Parfait, François Tison, Agnès Collet, Marie-Christine Nougues, Catherine Dubois d'Enghien, Alice Masurel, Karine Dahan, Thilo Dörk, Hélène Antoine-Poirel, Cecilia Altuzarra, François Demeocq, Alice Fiévet, Pierre Bordigoni, Nathalie Aladjidi, Claire Ewenczyk, Aurélie Siri, Karine Nguyen, Mathieu Anheim, Fabienne Prieur, Marc-Henri Stern, Caroline Bourjault, Fabien Touzot, Julia Sophie, Fanny Couderc, and Agathe Roubertie

Subjects
Genotype, DNA Mutational Analysis, Disease, Ataxia Telangiectasia Mutated Proteins, Biology, medicine.disease_cause, Cell Line, 03 medical and health sciences, Ataxia Telangiectasia, Immune system, Genetics, medicine, Humans, splice, Genetic Predisposition to Disease, Genetics (clinical), Genetic Association Studies, 030304 developmental biology, 0303 health sciences, Mutation, Kinase, 030305 genetics & heredity, Cell Cycle, Genetic Variation, Subcellular localization, medicine.disease, Phenotype, Alternative Splicing, Ataxia-telangiectasia
Abstract

Ataxia-telangiectasia (A-T) is a recessive disorder caused by biallelic pathogenic variants of ataxia-telangiectasia mutated (ATM). This disease is characterized by progressive ataxia, telangiectasia, immune deficiency, predisposition to malignancies, and radiosensitivity. However, hypomorphic variants may be discovered associated with very atypical phenotypes, raising the importance of evaluating their pathogenic effects. In this study, multiple functional analyses were performed on lymphoblastoid cell lines from 36 patients, comprising 49 ATM variants, 24 being of uncertain significance. Thirteen patients with atypical phenotype and presumably hypomorphic variants were of particular interest to test strength of functional analyses and to highlight discrepancies with typical patients. Western-blot combined with transcript analyses allowed the identification of one missing variant, confirmed suspected splice defects and revealed unsuspected minor transcripts. Subcellular localization analyses confirmed the low level and abnormal cytoplasmic localization of ATM for most A-T cell lines. Interestingly, atypical patients had lower kinase defect and less altered cell-cycle distribution after genotoxic stress than typical patients. In conclusion, this study demonstrated the pathogenic effects of the 49 variants, highlighted the strength of KAP1 phosphorylation test for pathogenicity assessment and allowed the establishment of the Ataxia-TeLangiectasia Atypical Score to predict atypical phenotype. Altogether, we propose strategies for ATM variant detection and classification.

Published
2018

4. Full in-frame exon 3 skipping of BRCA2 confers high risk of breast and/or ovarian cancer

Author

Marine Guillaud-Bataille, Pascaline Gaidrat, Ana Vega, Dominique Stoppa-Lyonnet, Inge Søkilde, Mads Thomassen, Ana Peixoto, Florence Coulet, Claude Houdayer, Nancy Uhrhammer, Danièle Muller, Ambre Petitalot, Sandrine M. Caputo, Rita D. Brandão, Hélène Tubeuf, Laurent Castera, Virginie Moncoutier, Olga M. Sinilnikova, Aura Carreira, Alexandra Martins, Gaia Castelain, Francesca Damiola, Åsa Ehlén, Etienne Rouleau, Capucine Delnatte, Nadia Boutry-Kryza, Mélanie Léoné, Myriam Bronner, Manuel R. Teixeira, Sophie Demontety, Henriette Roed Nielsen, Amanda B. Spurdle, Uffe Birk Jensen, Sophie Krieger, Cédrick Lefol, RS: GROW - R4 - Reproductive and Perinatal Medicine, Klinische Genetica, Institut Curie [Paris], Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Centre Léon Bérard [Lyon]-Hospices Civils de Lyon (HCL), Centre de génétique et de physiologie moléculaire et cellulaire (CGPhiMC), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Stress génotoxiques et cancer, Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-Université Paris-Sud - Paris 11 (UP11), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Genetics, Portuguese Oncology Institute, Genomic Medicine Group, University of Santiago de Compostela, Université Paris Descartes - Paris 5 (UPD5), Centre René Gauducheau, CRLCC René Gauducheau, Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU), Génétique du cancer et des maladies neuropsychiatriques (GMFC), Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), UNICANCER, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de la Santé et de la Recherche Médicale (INSERM), Department of Clinical Genetics, Odense University Hospital, Unité de génétique et biologie des cancers (U830), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Génétique, Hospices Civils de Lyon (HCL)-Hôpital Edouard Herriot [CHU - HCL], Hospices Civils de Lyon (HCL)-Groupement Hospitalier Est, Equipe 6, Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Centre Léon Bérard [Lyon]-Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Division of Genetics and Population Health, Queensland Institute of Medical Research, Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud - Paris 11 (UP11)-Institut Curie [Paris]-Centre National de la Recherche Scientifique (CNRS), Universidade de Santiago de Compostela [Spain] (USC ), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN), Hôpital Européen Georges Pompidou [APHP] (HEGP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Institut de Cardiométabolisme et Nutrition = Institute of Cardiometabolism and Nutrition [CHU Pitié Salpêtrière] (IHU ICAN), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), and COLO, Mouniati

Subjects
0301 basic medicine, PALB2, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, Germline, 03 medical and health sciences, Exon, 0302 clinical medicine, Breast cancer, [SDV.CAN] Life Sciences [q-bio]/Cancer, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], medicine, skin and connective tissue diseases, Gene, splice donor site, Genetics, variants, Variants, Cancer, medicine.disease, BRCA2 Protein, 3. Good health, 030104 developmental biology, Oncology, 030220 oncology & carcinogenesis, RNA splicing defects, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Splice donor site, Ovarian cancer, BRCA2 exon3, Research Paper
Abstract

International audience; Germline pathogenic variants in the BRCA2 gene are associated with a cumulative high risk of breast/ovarian cancer. Several BRCA2 variants result in complete loss of the exon-3 at the transcript level. The pathogenicity of these variants and the functional impact of loss of exon 3 have yet to be established. As a collaboration of the COVAR clinical trial group (France), and the ENIGMA consortium for investigating breast cancer gene variants, this study evaluated 8 BRCA2 variants resulting in complete deletion of exon 3. Clinical information for 39 families was gathered from Portugal, France, Denmark and Sweden. Multifactorial likelihood analyses were conducted using information from 293 patients, for 7 out of the 8 variants (including 6 intronic). For all variants combined the likelihood ratio in favor of causality was 4.39*1025. These results provide convincing evidence for the pathogenicity of all examined variants that lead to a total exon 3 skipping, and suggest that other variants that result in complete loss of exon 3 at the molecular level could be associated with a high risk of cancer comparable to that associated with classical pathogenic variants in BRCA1 or BRCA2 gene. In addition, our functional study shows, for the first time, that deletion of exon 3 impairs the ability of cells to survive upon Mitomycin-C treatment, supporting lack of function for the altered BRCA2 protein in these cells. Finally, this study demonstrates that any variant leading to expression of only BRCA2 delta-exon 3 will be associated with an increased risk of breast and ovarian cancer.

Published
2018
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5. Pros and cons of HaloPlex enrichment in cancer predisposition genetic diagnosis

Author

Anthony Laugé, Vivien Deshaies, Catherine Dubois d'Enghien, Lisa Golmard, Agnès Collet, Catherine Barbaroux, Claude Houdayer, Nicolas Servant, Virginie Moncoutier, Etienne Rouleau, Alban Lermine, Cédrick Lefol, Catherine Dehainault, Florence Copigny, Julien Tarabeux, Dominique Stoppa-Lyonnet, Henrique Tenreiro, Antoine De Pauw, Khadija Abidallah, Christophe Guy, and Elodie Girard

Subjects
lcsh:QH426-470, Pseudogene, Biology, DNA sequencing, genetic diagnosis, 03 medical and health sciences, 0302 clinical medicine, gene panel, Gene panel, medicine, cancer, Indel, 030304 developmental biology, next generation sequencing, Genetics, 0303 health sciences, Point mutation, Cancer, General Medicine, medicine.disease, lcsh:Genetics, predisposition, 030220 oncology & carcinogenesis, Mutation (genetic algorithm), HaloPlex, Genetic diagnosis
Abstract

Panel sequencing is a practical option in genetic diagnosis. Enrichment and library preparation steps are critical in the diagnostic setting. In order to test the value of HaloPlex technology in diagnosis, we designed a custom oncogenetic panel including 62 genes. The procedure was tested on a training set of 71 controls and then blindly validated on 48 consecutive hereditary breast/ovarian cancer (HBOC) patients tested negative for BRCA1/2 mutation. Libraries were sequenced on HiSeq2500 and data were analysed with our academic bioinformatics pipeline. Point mutations were detected using Varscan2, median size indels were detected using Pindel and large genomic rearrangements (LGR) were detected by DESeq. Proper coverage was obtained. However, highly variable read depth was observed within genes. Excluding pseudogene analysis, all point mutations were detected on the training set. All indels were also detected using Pindel. On the other hand, DESeq allowed LGR detection but with poor specificity, preventing its use in diagnostics. Mutations were detected in 8% of BRCA1/2-negative HBOC cases. HaloPlex technology appears to be an efficient and promising solution for gene panel diagnostics. Data analysis remains a major challenge and geneticists should enhance their bioinformatics knowledge in order to ensure good quality diagnostic results.

Published
2015
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6. Breast and ovarian cancer predisposition due to de novo BRCA1 and BRCA2 mutations

Author

V Guibert, Henrique Tenreiro, Dominique Stoppa-Lyonnet, Anthony Laugé, Stéphane Bézieau, Marion Gauthier-Villars, Adrien Briaux, A. De Pauw, Khadija Abidallah, Etienne Rouleau, Bruno Buecher, Claude Houdayer, Cédrick Lefol, Lisa Golmard, Capucine Delnatte, Paul Gesta, Virginie Moncoutier, Julien Tarabeux, Agnès Collet, Sandrine M. Caputo, Catherine Barbaroux, G Amorim, F Copigny, M Giraudeau, Christophe Guy, O Ingster, and M-H Stern

Subjects
0301 basic medicine, Oncology, Cancer Research, medicine.medical_specialty, endocrine system diseases, Genetic counseling, Genes, BRCA2, Genes, BRCA1, Breast Neoplasms, Biology, Bioinformatics, 03 medical and health sciences, 0302 clinical medicine, BRCA2 Mutation, Internal medicine, Genetics, medicine, Humans, Genetic Predisposition to Disease, skin and connective tissue diseases, Molecular Biology, Gene, Ovarian Neoplasms, De novo mutation, Middle Aged, medicine.disease, 030104 developmental biology, 030220 oncology & carcinogenesis, Mutation, Mutation (genetic algorithm), Female, Ovarian cancer
Abstract

BRCA1 and BRCA2 are the two major genes predisposing to breast and ovarian cancer. Whereas high de novo mutation rates have been demonstrated for several genes, only 11 cases of de novo BRCA1/2 mutations have been reported to date and the BRCA1/2 de novo mutation rate remains unknown. The present study was designed to fill this gap based on a series of 12 805 consecutive unrelated patients diagnosed with breast and/or ovarian cancer who met the inclusion criteria for BRCA1/2 gene analysis according to French guidelines. BRCA1/2 mutations were detected in 1527 (12%) patients, and three BRCA1 mutations and one BRCA2 mutation were de novo. The BRCA1/2 de novo mutation rate was estimated to be 0.3% (0.1%; 0.7%). Although rare, it may be useful to take the possibility of de novo BRCA1/2 mutation into account in genetic counseling of relatives and to improve the understanding of complex family histories of breast and ovarian cancers.

Published
2015
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7. Contribution of germline deleterious variants in the RAD51 paralogs to breast and ovarian cancers

Author

Laurent Castera, Antoine De Pauw, Florence Polycarpe, Khadija Abidallah, Dominique Vaur, Julien Tarabeux, Dominique Stoppa-Lyonnet, Claude Houdayer, Marick Laé, Marc-Henri Stern, Lisa Golmard, Bruno Buecher, Pascaline Berthet, Marion Gauthier-Villars, Henrique Tenreiro, Sophie Krieger, Caroline Abadie, Gaël A. Millot, Anthony Laugé, André Nicolas, Virginie Moncoutier, Thierry Frebourg, Camille Elan, Institut Curie [Paris], Unité de génétique et biologie des cancers (U830), Université Paris Descartes - Paris 5 (UPD5)-Institut Curie [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU), Génétique du cancer et des maladies neuropsychiatriques (GMFC), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Dynamique de l'information génétique : bases fondamentales et cancer (DIG CANCER), Centre National de la Recherche Scientifique (CNRS)-Institut Curie [Paris]-Sorbonne Université (SU), CHU Pontchaillou [Rennes], Normandie, Université, Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN), and Institut Curie [Paris]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0301 basic medicine, Oncology, Adult, medicine.medical_specialty, RAD51, Breast Neoplasms, Germline, Article, [SDU] Sciences of the Universe [physics], XRCC2, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, XRCC3, Internal medicine, Genetics, Medicine, Humans, Gene, Genetics (clinical), Germ-Line Mutation, Aged, Ovarian Neoplasms, business.industry, Middle Aged, medicine.disease, 3. Good health, DNA-Binding Proteins, 030104 developmental biology, [SDU]Sciences of the Universe [physics], 030220 oncology & carcinogenesis, RAD51C, Female, Rad51 Recombinase, business, Ovarian cancer
Abstract

International audience; RAD51 paralogs (RAD51B, RAD51C, RAD51D, XRCC2, and XRCC3) have recently been involved in breast and ovarian cancer predisposition: RAD51B, RAD51C, and RAD51D in ovarian cancer, RAD51B and XRCC2 in breast cancer. The aim of this study was to estimate the contribution of deleterious variants in the five RAD51 paralogs to breast and ovarian cancers. The five RAD51 paralog genes were analyzed by next-generation sequencing technologies in germline DNA from 2649 consecutive patients diagnosed with breast and/or ovarian cancer. Twenty-one different deleterious variants were identified in the RAD51 paralogs in 30 patients: RAD51B (n = 4), RAD51C (n = 12), RAD51D (n = 7), XRCC2 (n = 2), and XRCC3 (n = 5). The overall deleterious variant rate was 1.13% (95% confidence interval (CI): 0.72–1.55%) (30/2649), including 15 variants in breast cancer only cases (15/2063; 0.73% (95% CI: 0.34–1.11%)) and 15 variants in cases with at least one ovarian cancer (15/570; 2.63% (95% CI: 1.24–4.02%)). This study is the first evaluation of the five RAD51 paralogs in breast and ovarian cancer predisposition and it demonstrates that deleterious variants can be present in breast cancer only cases. Moreover, this is the first time that XRCC3 deleterious variants have been identified in breast and ovarian cancer cases.

Published
2017
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8. Streamlined ion torrent PGM-based diagnostics: BRCA1 and BRCA2 genes as a model

Author

Quentin Leroy, Julien Tarabeux, Bruno Zeitouni, Dominique Stoppa-Lyonnet, Thomas Rio-Frio, Khadija Abidallah, Lisa Golmard, Marc-Henri Stern, Virginie Moncoutier, Henrique Tenreiro, Etienne Rouleau, Claude Houdayer, Emmanuel Barillot, Séverine Lair, and Patricia Legoix-Né

Subjects
Pipeline (computing), Context (language use), Breast Neoplasms, Computational biology, Biology, Turnaround time, Sensitivity and Specificity, Article, symbols.namesake, Genetics, medicine, Humans, Genetic Testing, Genetics (clinical), Genetic testing, Sequence Deletion, Sanger sequencing, BRCA2 Protein, Gene Rearrangement, Ovarian Neoplasms, medicine.diagnostic_test, BRCA1 Protein, Computational Biology, High-Throughput Nucleotide Sequencing, Ion semiconductor sequencing, Gene rearrangement, Sequence Analysis, DNA, symbols, Female, Software, Blood sampling
Abstract

To meet challenges in terms of throughput and turnaround time, many diagnostic laboratories are shifting from Sanger sequencing to higher throughput next-generation sequencing (NGS) platforms. Bearing in mind that the performance and quality criteria expected from NGS in diagnostic or research settings are strikingly different, we have developed an Ion Torrent's PGM-based routine diagnostic procedure for BRCA1/2 sequencing. The procedure was first tested on a training set of 62 control samples, and then blindly validated on 77 samples in parallel with our routine technique. The training set was composed of difficult cases, for example, insertions and/or deletions of various sizes, large-scale rearrangements and, obviously, mutations occurring in homopolymer regions. We also compared two bioinformatic solutions in this diagnostic context, an in-house academic pipeline and the commercially available NextGene software (Softgenetics). NextGene analysis provided higher sensitivity, as four previously undetected single-nucleotide variations were found. Regarding specificity, an average of 1.5 confirmatory Sanger sequencings per patient was needed for complete BRCA1/2 screening. Large-scale rearrangements were identified by two distinct analyses, that is, bioinformatics and fragment analysis with electrophoresis profile comparison. Turnaround time was enhanced, as a series of 30 patients were sequenced by one technician, making the results available for the clinician in 10 working days following blood sampling. BRCA1/2 genes are a good model, representative of the difficulties commonly encountered in diagnostic settings, which is why we believe our findings are of interest for the whole community, and the pipeline described can be adapted by any user of PGM for diagnostic purposes.

Published
2013

9. Genetic variation at 9p22.2 and ovarian cancer risk for BRCA1 and BRCA2 mutation carriers

Author

Thomas v O Hansen, Amanda B. Spurdle, Anne-Marie Gerdes, Sue Healey, Per Karlsson, Tomasz Huzarski, Mary B. Daly, Mary Porteous, T. Caldes, Ulf Kristoffersson, Ignacio Blanco, A. Miron, Laurence Faivre, Barbara Wappenschmidt, Laurence Venat-Bouvet, Marie Stenmark Askmalm, Olga M. Sinilnikova, Susan Peock, Alessandra Viel, Conxi Lázaro, Katherine L. Nathanson, Laurent Castera, Douglas F. Easton, Susan L. Neuhausen, Jan Lubinski, Phuong L. Mai, Virginie Moncoutier, Paolo Radice, Heli Nevanlinna, Christi J Asperen, Xianshu Wang, Brita Arver, Christian Sutter, Senno Verhoef, Rosette Lidereau, Mary S Beattie, Bjarni A Agnarsson, Ina Ruehl, Monica Barile, Bent Ejlertsen, Laura Ottini, Catherine Noguès, Jennifer A. Przybylo, Cinzia Casella, Trevor Cole, Norbert Arnold, Sandra Fert-Ferrer, Hilmi Ozcelik, Irene L. Andrulis, Susan M. Domchek, Valérie Bonadona, Kirsten B. Moysich, David E. Goldgar, Anna Jakubowska, Paul D.P. Pharoah, Beth Y. Karlan, Jenny Gross, Gaia Roversi, Tadeusz Dębniak, Hanne Meijers-Heijboer, Susan J. Ramus, Dorthe G. Crüger, Zachary S. Fredericksen, Siranoush Manoukian, Viviana Gismondi, Maria A. Caligo, Helene Holland, Laure Barjhoux, Gord Glendon, Ana Osorio, Jacques Simard, John L. Hopper, Mercedes Durán, Kristiina Aittomäki, Håkan Olsson, Mads Thomassen, Fabio Capra, Patrick J. Morrison, Britta Fiebig, Mary Beth Terry, Marinus J. Blok, Evgeny N. Imyanitov, Joseph Vijai, Javier Benitez, Mark T. Rogers, D. Gareth Evans, Helmut Deissler, Tomasz Byrski, Sylvie Mazoyer, Laura Papi, Dominique Stoppa-Lyonnet, Marco Montagna, Kenneth Offit, Cezary Cybulski, Dominique Leroux, Georgia Chenevix-Trench, Danielle Bodmer, Lucy Side, Margaret Cook, Ros Eeles, Alan Donaldson, Christiana Kartsonaki, Carole Brewer, Matti A. Rookus, Jacek Gronwald, Dorothea Gadzicki, Shirley Hodgson, Jonathan Beesley, Gabriella Pichert, Andrew K. Godwin, Dieter Niederacher, Yuan Chun Ding, Torben A Kruse, Paolo Peterlongo, Rita K. Schmutzler, Xiaoqing Chen, Annika Lindblom, Fergus J. Couch, Maaike P.G. Vreeswijk, Mark H. Greene, Esther M. John, Raymonda Varon-Mateeva, Simon A. Gayther, Margreet G. E. M. Ausems, Tomas Kirchhoff, Lars Jønson, Madeleine M. A. Tilanus-Linthorst, Ute Hamann, Marie-Agnès Collonge-Rame, Antonis C. Antoniou, M John Kennedy, Karin Kast, Theo A. M. van Os, Penny Soucy, Debra Frost, Alison M. Dunning, Daniela Zaffaroni, Anna Allavena, Maria-Isabel Tejada, Yves-Jean Bignon, Lesley McGuffog, Bohdan Górski, Åke Borg, Fabienne Prieur, Bernard Peissel, Helen Gregory, Clare Oliver, Saundra S. Buys, Ana Dutra-Clarke, Alfons Meindl, Ramunas Janavicius, Uffe Birk Jensen, Miguel de la Hoya, Ramus, S, Kartsonaki, C, Gayther, S, Pharoah, P, Sinilnikova, O, Beesley, J, Chen, X, Mcguffog, L, Healey, S, Couch, F, Wang, X, Fredericksen, Z, Peterlongo, P, Manoukian, S, Peissel, B, Zaffaroni, D, Roversi, G, Barile, M, Viel, A, Allavena, A, Ottini, L, Papi, L, Gismondi, V, Capra, F, Radice, P, Greene, M, Mai, P, Andrulis, I, Glendon, G, Ozcelik, H, Thomassen, M, Gerdes, A, Kruse, T, Cruger, D, Jensen, U, Caligo, M, Olsson, H, Kristoffersson, U, Lindblom, A, Arver, B, Karlsson, P, Stenmark Askmalm, M, Borg, A, Neuhausen, S, Ding, Y, Nathanson, K, Domchek, S, Jakubowska, A, Lubiński, J, Huzarski, T, Byrski, T, Gronwald, J, Górski, B, Cybulski, C, Dębniak, T, Osorio, A, Durán, M, Tejada, M, Benítez, J, Hamann, U, Rookus, M, Verhoef, S, Tilanus Linthorst, M, Vreeswijk, M, Bodmer, D, Ausems, M, van Os, T, Asperen, C, Blok, M, Meijers Heijboer, H, Peock, S, Cook, M, Oliver, C, Frost, D, Dunning, A, Evans, D, Eeles, R, Pichert, G, Cole, T, Hodgson, S, Brewer, C, Morrison, P, Porteous, M, Kennedy, M, Rogers, M, Side, L, Donaldson, A, Gregory, H, Godwin, A, Stoppa Lyonnet, D, Moncoutier, V, Castera, L, Mazoyer, S, Barjhoux, L, Bonadona, V, Leroux, D, Faivre, L, Lidereau, R, Nogues, C, Bignon, Y, Prieur, F, Collonge Rame, M, Venat Bouvet, L, Fert Ferrer, S, Miron, A, Buys, S, Hopper, J, Daly, M, John, E, Terry, M, Goldgar, D, Hansen, T, Jønson, L, Ejlertsen, B, Agnarsson, B, Offit, K, Kirchhoff, T, Vijai, J, Dutra Clarke, A, Przybylo, J, Montagna, M, Casella, C, Imyanitov, E, Janavicius, R, Blanco, I, Lázaro, C, Moysich, K, Karlan, B, Gross, J, Beattie, M, Schmutzler, R, Wappenschmidt, B, Meindl, A, Ruehl, I, Fiebig, B, Sutter, C, Arnold, N, Deissler, H, Varon Mateeva, R, Kast, K, Niederacher, D, Gadzicki, D, Caldes, T, de la Hoya, M, Nevanlinna, H, Aittomäki, K, Simard, J, Soucy, P, Spurdle, A, Holland, H, Chenevix Trench, G, Easton, D, Antoniou, A, Faculteit Medische Wetenschappen/UMCG, Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Klinische Genetica, Genetica & Celbiologie, RS: GROW - School for Oncology and Reproduction, Clinical Genetics, Pediatric Surgery, Human genetics, CCA - Oncogenesis, and Human Genetics

Subjects
Oncology, Cancer Research, endocrine system diseases, Genes, BRCA2, Genes, BRCA1, Genome-wide association study, FAMILIES, 0302 clinical medicine, Risk Factors, Retrospective Studie, Genotype, Odds Ratio, skin and connective tissue diseases, POPULATION, Genetics, Ovarian Neoplasms, Aged, 80 and over, Allele, 0303 health sciences, education.field_of_study, Likelihood Functions, Articles, GERMLINE MUTATIONS, Middle Aged, Likelihood Function, female genital diseases and pregnancy complications, 3. Good health, 030220 oncology & carcinogenesis, Female, Chromosomes, Human, Pair 9, Human, Adult, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], medicine.medical_specialty, Heterozygote, SUSCEPTIBILITY LOCI, PROTEINS, Population, Biology, Polymorphism, Single Nucleotide, BASONUCLIN-2, 03 medical and health sciences, Breast cancer, Germline mutation, SDG 3 - Good Health and Well-being, Internal medicine, medicine, BREAST-CANCER, Humans, GENOME-WIDE ASSOCIATION, education, Alleles, Germ-Line Mutation, 030304 developmental biology, Retrospective Studies, Aged, IDENTIFICATION, Risk Factor, Ovarian Neoplasm, Editorials, Cancer, medicine.disease, Minor allele frequency, Ovarian cancer
Abstract

[Background]: Germline mutations in the BRCA1 and BRCA2 genes are associated with increased risks of breast and ovarian cancers. Although several common variants have been associated with breast cancer susceptibility in mutation carriers, none have been associated with ovarian cancer susceptibility. A genome-wide association study recently identified an association between the rare allele of the single-nucleotide polymorphism (SNP) rs3814113 (ie, the C allele) at 9p22.2 and decreased risk of ovarian cancer for women in the general population. We evaluated the association of this SNP with ovarian cancer risk among BRCA1 or BRCA2 mutation carriers by use of data from the Consortium of Investigators of Modifiers of BRCA1/2. [Methods]: We genotyped rs3814113 in 10 029 BRCA1 mutation carriers and 5837 BRCA2 mutation carriers. Associations with ovarian and breast cancer were assessed with a retrospective likelihood approach. All statistical tests were two-sided. [Results]: The minor allele of rs3814113 was associated with a reduced risk of ovarian cancer among BRCA1 mutation carriers (per-allele hazard ratio of ovarian cancer = 0.78, 95% confidence interval = 0.72 to 0.85; P = 4.8 × 10-9) and BRCA2 mutation carriers (hazard ratio of ovarian cancer = 0.78, 95% confidence interval = 0.67 to 0.90; P = 5.5 × 10-4). This SNP was not associated with breast cancer risk among either BRCA1 or BRCA2 mutation carriers. BRCA1 mutation carriers with the TT genotype at SNP rs3814113 were predicted to have an ovarian cancer risk to age 80 years of 48%, and those with the CC genotype were predicted to have a risk of 33%. [Conclusion]: Common genetic variation at the 9p22.2 locus was associated with decreased risk of ovarian cancer for carriers of a BRCA1 or BRCA2 mutation., Spanish National Cancer Center (CNIO) and the Spanish Consortium: Partially supported by Fundación Mutua Madrileña, Asociación Española Contra el Cáncer, and the Spanish Ministry of Science and Innovation (FIS PI08 1120).

Published
2011
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10. Haplotype analysis of theBRCA29254delATCAT recurrent mutation in breast/ovarian cancer families from Spain

Author

Dominique Stoppa-Lyonnet, David E. Goldgar, Maria E. Armengod, Ana Osorio, Alicia Barroso, Berta Campos, Montserrat Baiget, Montserrat Domènech, José I. Martínez-Ferrandis, Javier Benitez, Judith Balmaña, Orland Diez, Carmen Alonso, Fabrice Odefrey, and Virginie Moncoutier

Subjects
Genetics, endocrine system diseases, Haplotype, Biology, medicine.disease, Breast cancer, Mutation (genetic algorithm), Genotype, medicine, Polymorphic Microsatellite Marker, skin and connective tissue diseases, Ovarian cancer, Founder mutation, Genetics (clinical), Founder effect
Abstract

A frame-shift 9254del5 mutation was independently identified in 12 families, eleven of them with Spanish ancestors, in a BRCA2 screening performed in 841 breast and/or ovarian cancer families and in 339 women with breast cancer diagnosed before the age of 40 at different centers in France and Spain. We sought to analyze in detail the haplotype and founder effects of the 9254del5 and to estimate the time of origin of the mutation. Eight polymorphic microsatellite markers and two BRCA2 polymorphisms were used for the haplotype analyses. The markers were located flanking the BRCA2 gene spanning a region of 6.1 cM. Our results suggest that these families shared a common ancestry with BRCA2 9254del5, which is a founder mutation originating in the Northeast Spanish, with an estimated age of 92 (95% CI 56-141) generations.

Published
2003
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