Literature DB >> 18693280

Intronic variants in BRCA1 and BRCA2 that affect RNA splicing can be reliably selected by splice-site prediction programs.

Maaike P G Vreeswijk1, Jaennelle N Kraan, Heleen M van der Klift, Geraldine R Vink, Cees J Cornelisse, Juul T Wijnen, Egbert Bakker, Christi J van Asperen, Peter Devilee.   

Abstract

A large number of sequence variants identified in BRCA1 and BRCA2 cannot be distinguished as either disease-causing mutations or neutral variants. These so-called unclassified variants (UVs) include variants that are located in the intronic sequences of BRCA1 and BRCA2. The purpose of this study was to assess the use of splice-site prediction programs (SSPPs) to select intronic variants in BRCA1 and BRCA2 that are likely to affect RNA splicing. We performed in vitro molecular characterization of RNA of six intronic variants in BRCA1 and BRCA2. In four cases (BRCA1, c.81-6T>A and c.4986+5G>T; BRCA2, c.7617+2T>G and c.8754+5G>A) a deleterious effect on RNA splicing was seen, whereas the c.135-15_-12del variant in BRCA1 showed no effect on RNA splicing. In the case of the BRCA2 c.68-7T>A variant, RNA analysis was not sufficient to establish the clinical significance. Six SSPPs were used to predict whether an effect on RNA splicing was expected for these six variants as well as for 23 intronic variants in BRCA1 for which the effect on RNA splicing has been published. Out of a total of 174 predictions, 161 (93%) were informative (i.e., the wild-type splice-site was recognized). No false-negative predictions were observed; an effect on RNA splicing was always predicted by these programs. In four cases (2.5%) a false-positive prediction was observed. For DNA diagnostic laboratories, these programs are therefore very useful to select intronic variants that are likely to affect RNA splicing for further analysis. Copyright 2008 Wiley-Liss, Inc.

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Year:  2009        PMID: 18693280     DOI: 10.1002/humu.20811

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


  41 in total

1.  Splicing mutations in glycogen-storage disease type II: evaluation of the full spectrum of mutations and their relation to patients' phenotypes.

Authors:  Stefania Zampieri; Emanuele Buratti; Silvia Dominissini; Anna Lisa Montalvo; Maria Gabriela Pittis; Bruno Bembi; Andrea Dardis
Journal:  Eur J Hum Genet       Date:  2010-12-22       Impact factor: 4.246

2.  Identification of a breast cancer family double heterozygote for RAD51C and BRCA2 gene mutations.

Authors:  Lise B Ahlborn; Ane Y Steffensen; Lars Jønson; Malene Djursby; Finn C Nielsen; Anne-Marie Gerdes; Thomas V O Hansen
Journal:  Fam Cancer       Date:  2015-03       Impact factor: 2.375

3.  RNA analysis of cancer predisposing genes in formalin-fixed paraffin-embedded tissue determines aberrant splicing.

Authors:  Anne Ml Jansen; Heleen M van der Klift; Marieke Ae Roos; Jaap Dh van Eendenburg; Carli Mj Tops; Juul T Wijnen; Frederik J Hes; Hans Morreau; Tom van Wezel
Journal:  Eur J Hum Genet       Date:  2018-04-30       Impact factor: 4.246

4.  Contribution of bioinformatics predictions and functional splicing assays to the interpretation of unclassified variants of the BRCA genes.

Authors:  Jean Christophe Théry; Sophie Krieger; Pascaline Gaildrat; Françoise Révillion; Marie-Pierre Buisine; Audrey Killian; Christiane Duponchel; Antoine Rousselin; Dominique Vaur; Jean-Philippe Peyrat; Pascaline Berthet; Thierry Frébourg; Alexandra Martins; Agnès Hardouin; Mario Tosi
Journal:  Eur J Hum Genet       Date:  2011-06-15       Impact factor: 4.246

5.  Characterization of BRCA1 and BRCA2 variants found in a Norwegian breast or ovarian cancer cohort.

Authors:  Elisabeth Jarhelle; Hilde Monica Frostad Riise Stensland; Lovise Mæhle; Marijke Van Ghelue
Journal:  Fam Cancer       Date:  2017-01       Impact factor: 2.375

6.  Novel sequence variants and common recurrent polymorphisms of BRCA2 in Sri Lankan breast cancer patients and a family with BRCA1 mutations.

Authors:  Sumadee DE Silva; Kamani H Tennekoon; Eric H Karunanayake; Wasanthi DE Silva; Indrani Amarasinghe; Preethika Angunawela
Journal:  Exp Ther Med       Date:  2011-08-17       Impact factor: 2.447

7.  In vivo and In vitro methods to identify DNA sequence variants that alter RNA Splicing.

Authors:  Parth N Patel; Joshua M Gorham; Kaoru Ito; Christine E Seidman
Journal:  Curr Protoc Hum Genet       Date:  2018-04-26

8.  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

9.  Comparison of mRNA splicing assay protocols across multiple laboratories: recommendations for best practice in standardized clinical testing.

Authors:  Phillip J Whiley; Miguel de la Hoya; Mads Thomassen; Alexandra Becker; Rita Brandão; Inge Sokilde Pedersen; Marco Montagna; Mireia Menéndez; Francisco Quiles; Sara Gutiérrez-Enríquez; Kim De Leeneer; Anna Tenés; Gemma Montalban; Demis Tserpelis; Toshio Yoshimatsu; Carole Tirapo; Michela Raponi; Trinidad Caldes; Ana Blanco; Marta Santamariña; Lucia Guidugli; Gorka Ruiz de Garibay; Ming Wong; Mariella Tancredi; Laura Fachal; Yuan Chun Ding; Torben Kruse; Vanessa Lattimore; Ava Kwong; Tsun Leung Chan; Mara Colombo; Giovanni De Vecchi; Maria Caligo; Diana Baralle; Conxi Lázaro; Fergus Couch; Paolo Radice; Melissa C Southey; Susan Neuhausen; Claude Houdayer; Jim Fackenthal; Thomas Van Overeem Hansen; Ana Vega; Orland Diez; Rien Blok; Kathleen Claes; Barbara Wappenschmidt; Logan Walker; Amanda B Spurdle; Melissa A Brown
Journal:  Clin Chem       Date:  2013-11-08       Impact factor: 8.327

10.  A simple method for co-segregation analysis to evaluate the pathogenicity of unclassified variants; BRCA1 and BRCA2 as an example.

Authors:  Leila Mohammadi; Maaike P Vreeswijk; Rogier Oldenburg; Ans van den Ouweland; Jan C Oosterwijk; Annemarie H van der Hout; Nicoline Hoogerbrugge; Marjolijn Ligtenberg; Margreet G Ausems; Rob B van der Luijt; Charlotte J Dommering; Johan J Gille; Senno Verhoef; Frans B Hogervorst; Theo A van Os; Encarna Gómez García; Marinus J Blok; Juul T Wijnen; Quinta Helmer; Peter Devilee; Christi J van Asperen; Hans C van Houwelingen
Journal:  BMC Cancer       Date:  2009-06-29       Impact factor: 4.430

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