Literature DB >> 31343793

Incorporation of semi-quantitative analysis of splicing alterations for the clinical interpretation of variants in BRCA1 and BRCA2 genes.

Gemma Montalban1, Sandra Bonache1, Alejandro Moles-Fernández1, Neus Gadea2,3, Anna Tenés4, Sara Torres-Esquius2, Estela Carrasco2, Judith Balmaña2,3, Orland Diez1,4, Sara Gutiérrez-Enríquez1.   

Abstract

BRCA1 and BRCA2 (BRCA1/2) genetic variants that disrupt messenger RNA splicing are commonly associated with increased risks of developing breast/ovarian cancer. The majority of splicing studies published to date rely on qualitative methodologies (i.e., Sanger sequencing), but it is necessary to incorporate semi-quantitative or quantitative approaches to accurately interpret the clinical significance of spliceogenic variants. Here, we characterize the splicing impact of 31 BRCA1/2 variants using semi-quantitative capillary electrophoresis of fluorescent amplicons (CE), Sanger sequencing and allele-specific assays. A total of 14 variants were found to disrupt splicing. Allelic-specific assays could be performed for BRCA1 c.302-1G>A and BRCA2 c.516+2T>A, c.1909+1G>A, c.8332-13T>G, c.8332-2A>G, c.8954-2A>T variants, showing a monoallelic contribution to full-length transcript expression that was concordant with semi-quantitative data. The splicing fraction of alternative and aberrant transcripts was also measured by CE, facilitating variant interpretation. Following Evidence-based Network for the Interpretation of Germline Mutant Alleles criteria, we successfully classified eight variants as pathogenic (Class 5), five variants as likely pathogenic (Class 4), and 14 variants as benign (Class 1). We also provide splicing data for four variants classified as uncertain (Class 3), which produced a "leaky" splicing effect or introduced a missense change in the protein sequence, that will require further assessment to determine their clinical significance.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  BRCA1/2; VUS; capillary electrophoresis; clinical classification; semi-quantification; splicing

Mesh:

Substances:

Year:  2019        PMID: 31343793     DOI: 10.1002/humu.23882

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


  4 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

2.  Functional pre-therapeutic evaluation by genome editing of variants of uncertain significance of essential tumor suppressor genes.

Authors:  Amandine Billaud; Louise-Marie Chevalier; Paule Augereau; Jean-Sebastien Frenel; Christophe Passot; Mario Campone; Alain Morel
Journal:  Genome Med       Date:  2021-11-09       Impact factor: 11.117

3.  Splicing analyses for variants in MMR genes: best practice recommendations from the European Mismatch Repair Working Group.

Authors:  Monika Morak; Marta Pineda; Alexandra Martins; Pascaline Gaildrat; Hélène Tubeuf; Aurélie Drouet; Carolina Gómez; Estela Dámaso; Kerstin Schaefer; Verena Steinke-Lange; Udo Koehler; Andreas Laner; Julie Hauchard; Karine Chauris; Elke Holinski-Feder; Gabriel Capellá
Journal:  Eur J Hum Genet       Date:  2022-06-09       Impact factor: 5.351

4.  Interpretation of BRCA2 Splicing Variants: A Case Series of Challenging Variant Interpretations and the Importance of Functional RNA Analysis.

Authors:  Paola Nix; Erin Mundt; Bradford Coffee; Elizabeth Goossen; Bryan M Warf; Krystal Brown; Karla Bowles; Benjamin Roa
Journal:  Fam Cancer       Date:  2021-01-20       Impact factor: 2.375

  4 in total

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