Literature DB >> 23983145

Functional analysis of a large set of BRCA2 exon 7 variants highlights the predictive value of hexamer scores in detecting alterations of exonic splicing regulatory elements.

Daniela Di Giacomo1, Pascaline Gaildrat, Anna Abuli, Julie Abdat, Thierry Frébourg, Mario Tosi, Alexandra Martins.   

Abstract

Exonic variants can alter pre-mRNA splicing either by changing splice sites or by modifying splicing regulatory elements. Often these effects are difficult to predict and are only detected by performing RNA analyses. Here, we analyzed, in a minigene assay, 26 variants identified in the exon 7 of BRCA2, a cancer predisposition gene. Our results revealed eight new exon skipping mutations in this exon: one directly altering the 5' splice site and seven affecting potential regulatory elements. This brings the number of splicing regulatory mutations detected in BRCA2 exon 7 to a total of 11, a remarkably high number considering the total number of variants reported in this exon (n = 36), all tested in our minigene assay. We then exploited this large set of splicing data to test the predictive value of splicing regulator hexamers' scores recently established by Ke et al. (). Comparisons of hexamer-based predictions with our experimental data revealed high sensitivity in detecting variants that increased exon skipping, an important feature for prescreening variants before RNA analysis. In conclusion, hexamer scores represent a promising tool for predicting the biological consequences of exonic variants and may have important applications for the interpretation of variants detected by high-throughput sequencing.
© 2013 WILEY PERIODICALS, INC.

Entities:  

Keywords:  BRCA2; RNA splicing regulation; bioinformatics predictions; hereditary breast and ovarian cancer

Mesh:

Substances:

Year:  2013        PMID: 23983145     DOI: 10.1002/humu.22428

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  21 in total

1.  Calibration of Pathogenicity Due to Variant-Induced Leaky Splicing Defects by Using BRCA2 Exon 3 as a Model System.

Authors:  Hélène Tubeuf; Sandrine M Caputo; Teresa Sullivan; Julie Rondeaux; Sophie Krieger; Virginie Caux-Moncoutier; Julie Hauchard; Gaia Castelain; Alice Fiévet; Laëtitia Meulemans; Françoise Révillion; Mélanie Léoné; Nadia Boutry-Kryza; Capucine Delnatte; Marine Guillaud-Bataille; Linda Cleveland; Susan Reid; Eileen Southon; Omar Soukarieh; Aurélie Drouet; Daniela Di Giacomo; Myriam Vezain; Françoise Bonnet-Dorion; Violaine Bourdon; Hélène Larbre; Danièle Muller; Pascal Pujol; Fátima Vaz; Séverine Audebert-Bellanger; Chrystelle Colas; Laurence Venat-Bouvet; Angela R Solano; Dominique Stoppa-Lyonnet; Claude Houdayer; Thierry Frebourg; Pascaline Gaildrat; Shyam K Sharan; Alexandra Martins
Journal:  Cancer Res       Date:  2020-07-08       Impact factor: 12.701

Review 2.  The roles of RNA processing in translating genotype to phenotype.

Authors:  Kassie S Manning; Thomas A Cooper
Journal:  Nat Rev Mol Cell Biol       Date:  2016-11-16       Impact factor: 94.444

3.  Potentially pathogenic germline CHEK2 c.319+2T>A among multiple early-onset cancer families.

Authors:  Mev Dominguez-Valentin; Sigve Nakken; Hélène Tubeuf; Daniel Vodak; Per Olaf Ekstrøm; Anke M Nissen; Monika Morak; Elke Holinski-Feder; Alexandra Martins; Pål Møller; Eivind Hovig
Journal:  Fam Cancer       Date:  2018-01       Impact factor: 2.375

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

Authors:  Raphaël Leman; Pascaline Gaildrat; Gérald Le Gac; Chandran Ka; Yann Fichou; Marie-Pierre Audrezet; Virginie Caux-Moncoutier; Sandrine M Caputo; Nadia Boutry-Kryza; Mélanie Léone; Sylvie Mazoyer; Françoise Bonnet-Dorion; Nicolas Sevenet; Marine Guillaud-Bataille; Etienne Rouleau; Brigitte Bressac-de Paillerets; Barbara Wappenschmidt; Maria Rossing; Danielle Muller; Violaine Bourdon; Françoise Revillon; Michael T Parsons; Antoine Rousselin; Grégoire Davy; Gaia Castelain; Laurent Castéra; Joanna Sokolowska; Florence Coulet; Capucine Delnatte; Claude Férec; Amanda B Spurdle; Alexandra Martins; Sophie Krieger; Claude Houdayer
Journal:  Nucleic Acids Res       Date:  2018-09-06       Impact factor: 16.971

5.  Functional characterization of ABCC8 variants of unknown significance based on bioinformatics predictions, splicing assays, and protein analyses: Benefits for the accurate diagnosis of congenital hyperinsulinism.

Authors:  Cécile Saint-Martin; Marine Cauchois-Le Mière; Emily Rex; Omar Soukarieh; Jean-Baptiste Arnoux; Julien Buratti; Delphine Bouvet; Thierry Frébourg; Pascaline Gaildrat; Show-Ling Shyng; Christine Bellanné-Chantelot; Alexandra Martins
Journal:  Hum Mutat       Date:  2021-01-28       Impact factor: 4.878

6.  MutPred Splice: machine learning-based prediction of exonic variants that disrupt splicing.

Authors:  Matthew Mort; Timothy Sterne-Weiler; Biao Li; Edward V Ball; David N Cooper; Predrag Radivojac; Jeremy R Sanford; Sean D Mooney
Journal:  Genome Biol       Date:  2014-01-13       Impact factor: 13.583

Review 7.  Interpretation of mRNA splicing mutations in genetic disease: review of the literature and guidelines for information-theoretical analysis.

Authors:  Natasha Caminsky; Eliseos J Mucaki; Peter K Rogan
Journal:  F1000Res       Date:  2014-11-18

8.  Adding In Silico Assessment of Potential Splice Aberration to the Integrated Evaluation of BRCA Gene Unclassified Variants.

Authors:  Maxime P Vallée; Tonya L Di Sera; David A Nix; Andrew M Paquette; Michael T Parsons; Russel Bell; Andrea Hoffman; Frans B L Hogervorst; David E Goldgar; Amanda B Spurdle; Sean V Tavtigian
Journal:  Hum Mutat       Date:  2016-04-15       Impact factor: 4.878

9.  Exonic Splicing Mutations Are More Prevalent than Currently Estimated and Can Be Predicted by Using In Silico Tools.

Authors:  Omar Soukarieh; Pascaline Gaildrat; Mohamad Hamieh; Aurélie Drouet; Stéphanie Baert-Desurmont; Thierry Frébourg; Mario Tosi; Alexandra Martins
Journal:  PLoS Genet       Date:  2016-01-13       Impact factor: 5.917

10.  Genetic variants of prospectively demonstrated phenocopies in BRCA1/2 kindreds.

Authors:  Mev Dominguez-Valentin; D Gareth R Evans; Sigve Nakken; Hélène Tubeuf; Daniel Vodak; Per Olaf Ekstrøm; Anke M Nissen; Monika Morak; Elke Holinski-Feder; Alexandra Martins; Pål Møller; Eivind Hovig
Journal:  Hered Cancer Clin Pract       Date:  2018-01-15       Impact factor: 2.857

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