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1. Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort

Author

Gérald Le Gac, Alexandra Martins, Pascaline Gaildrat, Florence Coulet, Françoise Revillon, Antoine Rousselin, Sandrine M. Caputo, Marine Guillaud-Bataille, Chandran Ka, Mélanie Léoné, Nadia Boutry-Kryza, Virginie Caux-Moncoutier, Claude Férec, Capucine Delnatte, Danielle Muller, Grégoire Davy, Amanda B. Spurdle, Maria Rossing, Raphaël Leman, Yann Fichou, Michael T. Parsons, Barbara Wappenschmidt, Violaine Bourdon, Joanna Sokolowska, Nicolas Sevenet, Claude Houdayer, M.-P. Audrézet, Brigitte Bressac-de Paillerets, Françoise Bonnet-Dorion, Sylvie Mazoyer, Gaia Castelain, Sophie Krieger, Laurent Castera, Etienne Rouleau, Centre Régional de Lutte contre le Cancer François Baclesse [Caen] (UNICANCER/CRLC), Normandie Université (NU)-UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN), 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), Génétique, génomique fonctionnelle et biotechnologies (UMR 1078) (GGB), EFS-Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), 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), Université Paris Descartes - Paris 5 (UPD5), Université Sorbonne Paris Cité (USPC), Institut Curie [Paris], Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Centre Léon Bérard [Lyon]-Hospices Civils de Lyon (HCL), 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-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Validation et identification de nouvelles cibles en oncologie (VINCO), Institut Bergonié [Bordeaux], UNICANCER-UNICANCER-Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Génétique (Biologie pathologie), Département de biologie et pathologie médicales [Gustave Roussy], Institut Gustave Roussy (IGR)-Institut Gustave Roussy (IGR), University Hospital of Cologne [Cologne], IT University of Copenhagen (ITU), Centre Paul Strauss, CRLCC Paul Strauss, Laboratoire d'oncogénétique moléculaire, Unite d'Oncogenese Virale, Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] (UNICANCER/Lille), Université de Lille-UNICANCER-Université de Lille-UNICANCER, QIMR Berghofer Medical Research Institute, Nutrition-Génétique et Exposition aux Risques Environnementaux (NGERE), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Service de Génétique Clinique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Génétique épidémiologique et moléculaire des pathologies cardiovasculaires, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR14-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Génétique médicale [CHU Pitié-Salpêtrière], 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), Centre hospitalier universitaire de Nantes (CHU Nantes), Etablissement Français du Sang Bretagne, EFS, Laboratoire de Génétique Moléculaire et d'Histocompatibilité [Brest], Hôpital Morvan [Brest]-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), COMBE, Isabelle, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), UNICANCER-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), UNICANCER, Paris-Centre de Recherche Cardiovasculaire (PARCC - UMR-S U970), 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), IT University of Copenhagen, Institut Gustave Roussy (IGR), Service d'Oncologie Génétique, de Prévention et Dépistage, Laboratoire d'Oncologie Moléculaire Humaine, Université Lille Nord de France (COMUE)-UNICANCER-Université Lille Nord de France (COMUE)-UNICANCER, CHU Pontchaillou [Rennes], Université de Caen Normandie - UFR Santé (UNICAEN Santé), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Centre René Gauducheau, and CRLCC René Gauducheau

Subjects
0301 basic medicine, International Cooperation, RNA Splicing, In silico, Spice, Breast Neoplasms, Computational biology, Biology, Sensitivity and Specificity, Set (abstract data type), 03 medical and health sciences, Exon, 0302 clinical medicine, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Genetics, Consensus sequence, RNA and RNA-protein complexes, Humans, Computer Simulation, 030304 developmental biology, BRCA2 Protein, Ovarian Neoplasms, Internet, 0303 health sciences, [SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], BRCA1 Protein, Intron, Computational Biology, Genetic Variation, Reproducibility of Results, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], In vitro, 030104 developmental biology, 030220 oncology & carcinogenesis, RNA splicing, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Female, RNA Splice Sites, RNA characterisation and manipulation, Corrigendum, Computational Methods, Optimal decision
Abstract

Variant interpretation is the key issue in molecular diagnosis. Spliceogenic variants exemplify this issue as each nucleotide variant can be deleterious via disruption or creation of splice site consensus sequences. Consequently, reliable in silico prediction of variant spliceogenicity would be a major improvement. Thanks to an international effort, a set of 395 variants studied at the mRNA level and occurring in 5′ and 3′ consensus regions (defined as the 11 and 14 bases surrounding the exon/intron junction, respectively) was collected for 11 different genes, including BRCA1, BRCA2, CFTR and RHD, and used to train and validate a new prediction protocol named Splicing Prediction in Consensus Elements (SPiCE). SPiCE combines in silico predictions from SpliceSiteFinder-like and MaxEntScan and uses logistic regression to define optimal decision thresholds. It revealed an unprecedented sensitivity and specificity of 99.5 and 95.2%, respectively, and the impact on splicing was correctly predicted for 98.8% of variants. We therefore propose SPiCE as the new tool for predicting variant spliceogenicity. It could be easily implemented in any diagnostic laboratory as a routine decision making tool to help geneticists to face the deluge of variants in the next-generation sequencing era. SPiCE is accessible at (https://sourceforge.net/projects/spicev2-1/).

Published
2018
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2. Guidelines for splicing analysis in molecular diagnosis derived from a set of 327 combined in silico/in vitro studies on BRCA1 and BRCA2 variants

Author

Florent Soubrier, Dominique Stoppa-Lyonnet, Françoise Bonnet, Sylvie Mazoyer, Monique Buisson, Joanna Sokolowska, Brigitte Bressac-de Paillerets, Françoise Révillion, Mario Tosi, Agnès Hardouin, Etienne Rouleau, Myriam Bronner, Danielle Muller, Claude Houdayer, Olga M. Sinilnikova, Cédrick Lefol, Violaine Bourdon, Hagay Sobol, Pascaline Gaildrat, Sophie Krieger, Florence Coulet, Michel Barrois, Nicolas Sevenet, Virginie Caux-Moncoutier, Audrey Remenieras, Jean-Philippe Vert, Rosette Lidereau, and Mélanie Léoné

Subjects
Genetics, BRCA2 Protein, BRCA1 Protein, In silico, RNA Splicing, Large series, Context (language use), Exons, Biology, Set (abstract data type), Unknown Significance, RNA splicing, Humans, splice, Female, Pathology, Molecular, Enhancer, Genetics (clinical)
Abstract

Assessing the impact of variants of unknown significance (VUS) on splicing is a key issue in molecular diagnosis. This impact can be predicted by in silico tools, but proper evaluation and user guidelines are lacking. To fill this gap, we embarked upon the largest BRCA1 and BRCA2 splice study to date by testing 272 VUSs (327 analyses) within the BRCA splice network of Unicancer. All these VUSs were analyzed by using six tools (splice site prediction by neural network, splice site finder (SSF), MaxEntScan (MES), ESE finder, relative enhancer and silencer classification by unanimous enrichment, and human splicing finder) and the predictions obtained were compared with transcript analysis results. Combining MES and SSF gave 96% sensitivity and 83% specificity for VUSs occurring in the vicinity of consensus splice sites, that is, the surrounding 11 and 14 bases for the 5' and 3' sites, respectively. This study was also an opportunity to define guidelines for transcript analysis along with a tentative classification of splice variants. The guidelines drawn from this large series should be useful for the whole community, particularly in the context of growing sequencing capacities that require robust pipelines for variant interpretation.

Published
2011

3. Rare germline large rearrangements in the BRCA1/2 genes and eight candidate genes in 472 patients with breast cancer predisposition

Author

Nancy Uhrhammer, V. Chabaud, C. Delvincourt, Dominique Stoppa-Lyonnet, Myriam Bronner, Sandrine M. Caputo, B. Jesson, Joanna Sokolowska, J. Fournier, Christine Toulas, Ivan Bièche, Violaine Bourdon, Laurent Castera, Danielle Muller, E. Barouk-Simonet, Rosette Lidereau, Françoise Bonnet, Y. J. Bignon, Agnès Hardouin, Valerie Vidal, Capucine Delnatte, Liliane Demange, Jean-Philippe Peyrat, Adrien Briaux, Catherine Noguès, Florence Coulet, and Etienne Rouleau

Subjects
Adult, Male, Cancer Research, Candidate gene, endocrine system diseases, Genes, BRCA2, Genes, BRCA1, Breast Neoplasms, Biology, Genetic analysis, Frameshift mutation, Breast Neoplasms, Male, Young Adult, Germline mutation, Gene duplication, Humans, Genetic Predisposition to Disease, skin and connective tissue diseases, CHEK2, Gene, Germ-Line Mutation, Genetics, Comparative Genomic Hybridization, Point mutation, Middle Aged, Pedigree, Oncology, Female
Abstract

Hereditary breast cancers account for up to 5-10 % of breast cancers and a majority are related to the BRCA1 and BRCA2 genes. However, many families with breast cancer predisposition do not carry any known mutations for BRCA1 and BRCA2 genes. We explored the incidence of rare large rearrangements in the coding, noncoding and flanking regions of BRCA1/2 and in eight other candidate genes--CHEK2, BARD1, ATM, RAD50, RAD51, BRIP1, RAP80 and PALB2. A dedicated zoom-in CGH-array was applied to screen for rearrangements in 472 unrelated French individuals from breast-ovarian cancer families that were being followed in eight French oncogenetic laboratories. No new rearrangement was found neither in the genomic regions of BRCA1/2 nor in candidate genes, except for the CHEK2 and BARD1 genes. Three heterozygous deletions were detected in the 5' and 3' flanking regions of BRCA1. One large deletion introducing a frameshift was identified in the CHEK2 gene in two families and one heterozygous deletion was detected within an intron of BARD1. The study demonstrates the usefulness of CGH-array in routine genetic analysis and, aside from the CHEK2 rearrangements, indicates there is a very low incidence of large rearrangements in BRCA1/2 and in the other eight candidate genes in families already explored for BRCA1/2 mutations. Finally, next-generation sequencing should bring new information about point mutations in intronic and flanking regions and also medium size rearrangements.

Published
2011

4. The contribution of germline rearrangements to the spectrum of BRCA2 mutations

Author

Dominique Stoppa-Lyonnet, Isabelle Tournier, Thierry Frebourg, T.D. N’Guyen, Mario Tosi, Florence Coulet, Agnès Hardouin, Sylvie Mazoyer, C Capoulade-Metay, Danielle Muller, Valérie Bonadona, Rosette Lidereau, Christophe Philippe, Alain Lortholary, Florent Soubrier, Federica Casilli, Philippe Maillet, Catherine Noguès, Laurence Gladieff, Hagay Sobol, Catherine Dugast, Christine Maugard, Agnès Chompret, Christine Toulas, Stéphane Bézieau, Violaine Bourdon, Pierre O. Chappuis, Diane Provencher, Jean-Pierre Fricker, Claude Houdayer, Laurence Faivre, Paul Gesta, Pascaline Berthet, Olga M. Sinilnikova, C. Delvincourt, 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), and 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)

Subjects
[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], medicine.medical_specialty, endocrine system diseases, Genetic counseling, Genes, BRCA2, Biology, Polymerase Chain Reaction, Germline, Exon, Breast cancer, Germline mutation, Molecular genetics, Genetics, medicine, Humans, skin and connective tissue diseases, Gene, Germ-Line Mutation, Genetics (clinical), Sequence Deletion, Exons, Middle Aged, medicine.disease, Molecular biology, female genital diseases and pregnancy complications, Male breast cancer, Female, Online Mutation Report
Abstract

Background: Few germline BRCA2 rearrangements have been described compared with the large number of germline rearrangements reported in the BRCA1 gene. However, some BRCA2 rearrangements have been reported in families that included at least one case of male breast cancer. Objective: To estimate the contribution of large genomic rearrangements to the spectrum of BRCA2 defects. Methods: Quantitative multiplex PCR of short fluorescent fragments (QMPSF) was used to screen the BRCA2 gene for germline rearrangements in highly selected families. QMPSF was previously used to detect heterozygous deletions/duplications in many genes including BRCA1 and BRCA2 . Results: We selected a subgroup of 194 high risk families with four or more breast cancers with an average age at diagnosis of ⩽50 years, who were recruited through 14 genetic counselling centres in France and one centre in Switzerland. BRCA2 mutations were detected in 18.6% (36 index cases) and BRCA1 mutations in 12.4% (24 index cases) of these families. Of the 134 BRCA1/2 negative index cases in this subgroup, 120 were screened for large rearrangements of BRCA2 using QMPSF. Novel and distinct BRCA2 deletions were detected in three families and their boundaries were determined. We found that genomic rearrangements represent 7.7% (95% confidence interval 0% to 16%) of the BRCA2 mutation spectrum. Conclusion: The molecular diagnosis of breast cancer predisposition should include screening for BRCA2 rearrangements, at least in families with a high probability of BRCA2 defects.

Published
2006
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