Literature DB >> 23893897

Evaluation of a 5-tier scheme proposed for classification of sequence variants using bioinformatic and splicing assay data: inter-reviewer variability and promotion of minimum reporting guidelines.

Logan C Walker1, Phillip J Whiley, Claude Houdayer, Thomas V O Hansen, Ana Vega, Marta Santamarina, Ana Blanco, Laura Fachal, Melissa C Southey, Alan Lafferty, Mara Colombo, Giovanna De Vecchi, Paolo Radice, Amanda B Spurdle.   

Abstract

Splicing assays are commonly undertaken in the clinical setting to assess the clinical relevance of sequence variants in disease predisposition genes. A 5-tier classification system incorporating both bioinformatic and splicing assay information was previously proposed as a method to provide consistent clinical classification of such variants. Members of the ENIGMA Consortium Splicing Working Group undertook a study to assess the applicability of the scheme to published assay results, and the consistency of classifications across multiple reviewers. Splicing assay data were identified for 235 BRCA1 and 176 BRCA2 unique variants, from 77 publications. At least six independent reviewers from research and/or clinical settings comprehensively examined splicing assay methods and data reported for 22 variant assays of 21 variants in four publications, and classified the variants using the 5-tier classification scheme. Inconsistencies in variant classification occurred between reviewers for 17 of the variant assays. These could be attributed to a combination of ambiguity in presentation of the classification criteria, differences in interpretation of the data provided, nonstandardized reporting of results, and the lack of quantitative data for the aberrant transcripts. We propose suggestions for minimum reporting guidelines for splicing assays, and improvements to the 5-tier splicing classification system to allow future evaluation of its performance as a clinical tool.
© 2013 WILEY PERIODICALS, INC.

Entities:  

Keywords:  BRCA1; BRCA2; classification; splicing assays

Mesh:

Substances:

Year:  2013        PMID: 23893897     DOI: 10.1002/humu.22388

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


  17 in total

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.

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

2.  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

3.  Multifactorial likelihood assessment of BRCA1 and BRCA2 missense variants confirms that BRCA1:c.122A>G(p.His41Arg) is a pathogenic mutation.

Authors:  Phillip J Whiley; Michael T Parsons; Jennifer Leary; Kathy Tucker; Linda Warwick; Belinda Dopita; Heather Thorne; Sunil R Lakhani; David E Goldgar; Melissa A Brown; Amanda B Spurdle
Journal:  PLoS One       Date:  2014-01-28       Impact factor: 3.240

4.  Splicing analysis of 14 BRCA1 missense variants classifies nine variants as pathogenic.

Authors:  Lise B Ahlborn; Mette Dandanell; Ane Y Steffensen; Lars Jønson; Finn C Nielsen; Thomas V O Hansen
Journal:  Breast Cancer Res Treat       Date:  2015-02-28       Impact factor: 4.872

5.  Nanopore sequencing of full-length BRCA1 mRNA transcripts reveals co-occurrence of known exon skipping events.

Authors:  Lucy C de Jong; Simone Cree; Vanessa Lattimore; George A R Wiggins; Amanda B Spurdle; Allison Miller; Martin A Kennedy; Logan C Walker
Journal:  Breast Cancer Res       Date:  2017-11-28       Impact factor: 6.466

Review 6.  Mutations of Pre-mRNA Splicing Regulatory Elements: Are Predictions Moving Forward to Clinical Diagnostics?

Authors:  Lucie Grodecká; Emanuele Buratti; Tomáš Freiberger
Journal:  Int J Mol Sci       Date:  2017-07-31       Impact factor: 5.923

7.  Classification of the spliceogenic BRCA1 c.4096+3A>G variant as likely benign based on cosegregation data and identification of a healthy homozygous carrier.

Authors:  Anna Byrjalsen; Ane Y Steffensen; Thomas V O Hansen; Karin Wadt; Anne-Marie Gerdes
Journal:  Clin Case Rep       Date:  2017-04-22

8.  Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms.

Authors:  Miguel de la Hoya; Omar Soukarieh; Irene López-Perolio; Ana Vega; Logan C Walker; Yvette van Ierland; Diana Baralle; Marta Santamariña; Vanessa Lattimore; Juul Wijnen; Philip Whiley; Ana Blanco; Michela Raponi; Jan Hauke; Barbara Wappenschmidt; Alexandra Becker; Thomas V O Hansen; Raquel Behar; KConFaB Investigators; Diether Niederacher; Norbert Arnold; Bernd Dworniczak; Doris Steinemann; Ulrike Faust; Wendy Rubinstein; Peter J Hulick; Claude Houdayer; Sandrine M Caputo; Laurent Castera; Tina Pesaran; Elizabeth Chao; Carole Brewer; Melissa C Southey; Christi J van Asperen; Christian F Singer; Jan Sullivan; Nicola Poplawski; Phuong Mai; Julian Peto; Nichola Johnson; Barbara Burwinkel; Harald Surowy; Stig E Bojesen; Henrik Flyger; Annika Lindblom; Sara Margolin; Jenny Chang-Claude; Anja Rudolph; Paolo Radice; Laura Galastri; Janet E Olson; Emily Hallberg; Graham G Giles; Roger L Milne; Irene L Andrulis; Gord Glendon; Per Hall; Kamila Czene; Fiona Blows; Mitul Shah; Qin Wang; Joe Dennis; Kyriaki Michailidou; Lesley McGuffog; Manjeet K Bolla; Antonis C Antoniou; Douglas F Easton; Fergus J Couch; Sean Tavtigian; Maaike P Vreeswijk; Michael Parsons; Huong D Meeks; Alexandra Martins; David E Goldgar; Amanda B Spurdle
Journal:  Hum Mol Genet       Date:  2016-03-23       Impact factor: 6.150

9.  Splicing analysis for exonic and intronic mismatch repair gene variants associated with Lynch syndrome confirms high concordance between minigene assays and patient RNA analyses.

Authors:  Heleen M van der Klift; Anne M L Jansen; Niki van der Steenstraten; Elsa C Bik; Carli M J Tops; Peter Devilee; Juul T Wijnen
Journal:  Mol Genet Genomic Med       Date:  2015-04-23       Impact factor: 2.183

10.  Functional characterization of BRCA1 gene variants by mini-gene splicing assay.

Authors:  Ane Y Steffensen; Mette Dandanell; Lars Jønson; Bent Ejlertsen; Anne-Marie Gerdes; Finn C Nielsen; Thomas vO Hansen
Journal:  Eur J Hum Genet       Date:  2014-03-26       Impact factor: 4.246

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