Literature DB >> 21394826

Splicing and multifactorial analysis of intronic BRCA1 and BRCA2 sequence variants identifies clinically significant splicing aberrations up to 12 nucleotides from the intron/exon boundary.

Phillip J Whiley1, Lucia Guidugli, Logan C Walker, Sue Healey, Bryony A Thompson, Sunil R Lakhani, Leonard M Da Silva, Sean V Tavtigian, David E Goldgar, Melissa A Brown, Fergus J Couch, Amanda B Spurdle.   

Abstract

Clinical management of breast cancer families is complicated by identification of BRCA1 and BRCA2 sequence alterations of unknown significance. Molecular assays evaluating the effect of intronic variants on native splicing can help determine their clinical relevance. Twenty-six intronic BRCA1/2 variants ranging from the consensus dinucleotides in the splice acceptor or donor to 53 nucleotides into the intron were identified in multiple-case families. The effect of the variants on splicing was assessed using HSF matrices, MaxEntScan and NNsplice, followed by analysis of mRNA from lymphoblastoid cell lines. A total of 12 variants were associated with splicing aberrations predicted to result in production of truncated proteins, including a variant located 12 nucleotides into the intron. The posterior probability of pathogenicity was estimated using a multifactorial likelihood approach, and provided a pathogenic or likely pathogenic classification for seven of the 12 spliceogenic variants. The apparent disparity between experimental evidence and the multifactorial predictions is likely due to several factors, including a paucity of likelihood information and a nonspecific prior probability applied for intronic variants outside the consensus dinucleotides. Development of prior probabilities of pathogenicity incorporating bioinformatic prediction of splicing aberrations should improve identification of functionally relevant variants and enhance multifactorial likelihood analysis of intronic variants.
© 2011 Wiley-Liss, Inc.

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Year:  2011        PMID: 21394826      PMCID: PMC4340479          DOI: 10.1002/humu.21495

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


  37 in total

1.  A full-likelihood method for the evaluation of causality of sequence variants from family data.

Authors:  Deborah Thompson; Douglas F Easton; David E Goldgar
Journal:  Am J Hum Genet       Date:  2003-07-29       Impact factor: 11.025

2.  Genetic and histopathologic evaluation of BRCA1 and BRCA2 DNA sequence variants of unknown clinical significance.

Authors:  Georgia Chenevix-Trench; Sue Healey; Sunil Lakhani; Paul Waring; Margaret Cummings; Ross Brinkworth; Amie M Deffenbaugh; Lynn Anne Burbidge; Dmitry Pruss; Thad Judkins; Tom Scholl; Anna Bekessy; Anna Marsh; Paul Lovelock; Ming Wong; Andrea Tesoriero; Helene Renard; Melissa Southey; John L Hopper; Koulis Yannoukakos; Melissa Brown; Douglas Easton; Sean V Tavtigian; David Goldgar; Amanda B Spurdle
Journal:  Cancer Res       Date:  2006-02-15       Impact factor: 12.701

Review 3.  Alternative splicing of pre-mRNA: developmental consequences and mechanisms of regulation.

Authors:  A J Lopez
Journal:  Annu Rev Genet       Date:  1998       Impact factor: 16.830

4.  Prediction of BRCA2-association in hereditary breast carcinomas using array-CGH.

Authors:  Simon A Joosse; Kim I M Brandwijk; Peter Devilee; Jelle Wesseling; Frans B L Hogervorst; Senno Verhoef; Petra M Nederlof
Journal:  Breast Cancer Res Treat       Date:  2010-07-08       Impact factor: 4.872

5.  Prediction and assessment of splicing alterations: implications for clinical testing.

Authors:  Amanda B Spurdle; Fergus J Couch; Frans B L Hogervorst; Paolo Radice; Olga M Sinilnikova
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

6.  Proceedings of the international consensus conference on breast cancer risk, genetics, & risk management, April, 2007.

Authors:  Gordon F Schwartz; Kevin S Hughes; Henry T Lynch; Carol J Fabian; Ian S Fentiman; Mark E Robson; Susan M Domchek; Lynn C Hartmann; Roland Holland; David J Winchester
Journal:  Cancer       Date:  2008-11-15       Impact factor: 6.860

7.  Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals.

Authors:  Gene Yeo; Christopher B Burge
Journal:  J Comput Biol       Date:  2004       Impact factor: 1.479

8.  Characterization of the pathogenic mechanism of a novel BRCA2 variant in a Chinese family.

Authors:  Ava Kwong; L P Wong; K Y K Chan; E S K Ma; U S Khoo; J M Ford
Journal:  Fam Cancer       Date:  2007-07-27       Impact factor: 2.375

Review 9.  Genomic variants in exons and introns: identifying the splicing spoilers.

Authors:  Franco Pagani; Francisco E Baralle
Journal:  Nat Rev Genet       Date:  2004-05       Impact factor: 53.242

10.  Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

Authors:  Sharon E Plon; Diana M Eccles; Douglas Easton; William D Foulkes; Maurizio Genuardi; Marc S Greenblatt; Frans B L Hogervorst; Nicoline Hoogerbrugge; Amanda B Spurdle; Sean V Tavtigian
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

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  25 in total

1.  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

2.  BRCA1/2 sequence variants of uncertain significance: a primer for providers to assist in discussions and in medical management.

Authors:  Noralane M Lindor; David E Goldgar; Sean V Tavtigian; Sharon E Plon; Fergus J Couch
Journal:  Oncologist       Date:  2013-04-24

3.  Characterization of splice-altering mutations in inherited predisposition to cancer.

Authors:  Silvia Casadei; Suleyman Gulsuner; Brian H Shirts; Jessica B Mandell; Hannah M Kortbawi; Barbara S Norquist; Elizabeth M Swisher; Ming K Lee; Yael Goldberg; Robert O'Connor; Zheng Tan; Colin C Pritchard; Mary-Claire King; Tom Walsh
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-16       Impact factor: 11.205

4.  A comparison of cosegregation analysis methods for the clinical setting.

Authors:  John Michael O Rañola; Quanhui Liu; Elisabeth A Rosenthal; Brian H Shirts
Journal:  Fam Cancer       Date:  2018-04       Impact factor: 2.375

Review 5.  BRCA1-No Matter How You Splice It.

Authors:  Dan Li; Lisa M Harlan-Williams; Easwari Kumaraswamy; Roy A Jensen
Journal:  Cancer Res       Date:  2019-04-16       Impact factor: 12.701

6.  ENIGMA--evidence-based network for the interpretation of germline mutant alleles: an international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes.

Authors:  Amanda B Spurdle; Sue Healey; Andrew Devereau; Frans B L Hogervorst; Alvaro N A Monteiro; Katherine L Nathanson; Paolo Radice; Dominique Stoppa-Lyonnet; Sean Tavtigian; Barbara Wappenschmidt; Fergus J Couch; David E Goldgar
Journal:  Hum Mutat       Date:  2011-11-03       Impact factor: 4.878

Review 7.  A guide for functional analysis of BRCA1 variants of uncertain significance.

Authors:  Gaël A Millot; Marcelo A Carvalho; Sandrine M Caputo; Maaike P G Vreeswijk; Melissa A Brown; Michelle Webb; Etienne Rouleau; Susan L Neuhausen; Thomas v O Hansen; Alvaro Galli; Rita D Brandão; Marinus J Blok; Aneliya Velkova; Fergus J Couch; Alvaro N A Monteiro
Journal:  Hum Mutat       Date:  2012-07-16       Impact factor: 4.878

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.  BRCA1 R1699Q variant displaying ambiguous functional abrogation confers intermediate breast and ovarian cancer risk.

Authors:  Amanda B Spurdle; Phillip J Whiley; Bryony Thompson; Bingjian Feng; Sue Healey; Melissa A Brown; Christopher Pettigrew; Christi J Van Asperen; Margreet G E M Ausems; Anna A Kattentidt-Mouravieva; Ans M W van den Ouweland; Annika Lindblom; Maritta H Pigg; Rita K Schmutzler; Christoph Engel; Alfons Meindl; Sandrine Caputo; Olga M Sinilnikova; Rosette Lidereau; Fergus J Couch; Lucia Guidugli; Thomas van Overeem Hansen; Mads Thomassen; Diana M Eccles; Kathy Tucker; Javier Benitez; Susan M Domchek; Amanda E Toland; Elizabeth J Van Rensburg; Barbara Wappenschmidt; Åke Borg; Maaike P G Vreeswijk; David E Goldgar
Journal:  J Med Genet       Date:  2012-08       Impact factor: 6.318

10.  A multifactorial likelihood model for MMR gene variant classification incorporating probabilities based on sequence bioinformatics and tumor characteristics: a report from the Colon Cancer Family Registry.

Authors:  Bryony A Thompson; David E Goldgar; Carol Paterson; Mark Clendenning; Rhiannon Walters; Sven Arnold; Michael T Parsons; Walsh Michael D; Steven Gallinger; Robert W Haile; John L Hopper; Mark A Jenkins; Loic Lemarchand; Noralane M Lindor; Polly A Newcomb; Stephen N Thibodeau; Joanne P Young; Daniel D Buchanan; Sean V Tavtigian; Amanda B Spurdle
Journal:  Hum Mutat       Date:  2012-10-11       Impact factor: 4.878

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