Detecting splicing patterns in genes involved in hereditary breast and ovarian cancer

被引:0
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作者
Grégoire Davy
Antoine Rousselin
Nicolas Goardon
Laurent Castéra
Valentin Harter
Angelina Legros
Etienne Muller
Robin Fouillet
Baptiste Brault
Anna S Smirnova
Fréderic Lemoine
Pierre de la Grange
Marine Guillaud-Bataille
Virginie Caux-Moncoutier
Claude Houdayer
Françoise Bonnet
Cécile Blanc-Fournier
Pascaline Gaildrat
Thierry Frebourg
Alexandra Martins
Dominique Vaur
Sophie Krieger
机构
[1] CLCC François Baclesse,Department of Cancer Biology and Genetics
[2] Normandy Centre for Genomic and Personalized Medicine,Department of Genetics
[3] Inserm U1079-IRIB,Department of Genetics
[4] Normandy Centre for Genomic and Personalized Medicine,Department of Pathology
[5] University of Rouen,Department of Genetics
[6] Cancéropôle Nord-Ouest Data Processing Centre,undefined
[7] CLCC François Baclesse,undefined
[8] GenoSplice Technology,undefined
[9] iPEPS-ICM,undefined
[10] Pitié-Salpétrière Hospital,undefined
[11] Institut Gustave Roussy,undefined
[12] Institut Curie,undefined
[13] Inserm U830,undefined
[14] Université Paris-Descartes,undefined
[15] Sorbonne Paris Cité,undefined
[16] Laboratory of Molecular Genetics,undefined
[17] Institut Bergonié,undefined
[18] CLCC François Baclesse,undefined
[19] Tumorothèque de Caen Basse-Normandie,undefined
[20] University Hospital,undefined
[21] Normandy Centre for Genomic and Personalized Medicine,undefined
[22] University of Caen Normandy,undefined
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Interpretation of variants of unknown significance (VUS) is a major challenge for laboratories performing molecular diagnosis of hereditary breast and ovarian cancer (HBOC), especially considering that many genes are now known to be involved in this syndrome. One important way these VUS can have a functional impact is through their effects on RNA splicing. Here we present a custom RNA-Seq assay plus bioinformatics and biostatistics pipeline to analyse specifically alternative and abnormal splicing junctions in 11 targeted HBOC genes. Our pipeline identified 14 new alternative splices in BRCA1 and BRCA2 in addition to detecting the majority of known alternative spliced transcripts therein. We provide here the first global splicing pattern analysis for the other nine genes, which will enable a comprehensive interpretation of splicing defects caused by VUS in HBOC. Previously known splicing alterations were consistently detected, occasionally with a more complex splicing pattern than expected. We also found that splicing in the 11 genes is similar in blood and breast tissue, supporting the utility and simplicity of blood splicing assays. Our pipeline is ready to be integrated into standard molecular diagnosis for HBOC, but it could equally be adapted for an integrative analysis of any multigene disorder.
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页码:1147 / 1154
页数:7
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