Literature DB >> 26052455

Predicting the Pathogenic Potential of BRCA1 and BRCA2 Gene Variants Identified in Clinical Genetic Testing.

Clare Brookes1, Stella Lai1, Elaine Doherty1, Donald R Love1.   

Abstract

OBJECTIVES: Missense variants are very commonly detected when screening for mutations in the BRCA1 and BRCA2 genes. Pathogenic mutations in the BRCA1 and BRCA2 genes lead to an increased risk of developing breast, ovarian, prostate and/or pancreatic cancer. This study aimed to assess the predictive capability of in silico programmes and mutation databases in assisting diagnostic laboratories to determine the pathogenicity of sequence-detectable mutations.
METHODS: Between July 2011 and April 2013, an analysis was undertaken of 13 missense BRCA gene variants that had been detected in patients referred to the Genetic Health Services New Zealand (Northern Hub) for BRCA gene analysis. The analysis involved the use of 13 in silico protein prediction programmes, two in silico transcript analysis programmes and the examination of three BRCA gene databases.
RESULTS: In most of the variants, the analysis showed different in silico interpretations. This illustrates the interpretation challenges faced by diagnostic laboratories.
CONCLUSION: Unfortunately, when using online mutation databases and carrying out in silico analyses, there is significant discordance in the classification of some missense variants in the BRCA genes. This discordance leads to complexities in interpreting and reporting these variants in a clinical context. The authors have developed a simple procedure for analysing variants; however, those of unknown significance largely remain unknown. As a consequence, the clinical value of some reports may be negligible.

Entities:  

Keywords:  Genes, BRCA1; Genes, BRCA2; HBOC Syndrome; In Silico

Year:  2015        PMID: 26052455      PMCID: PMC4450785     

Source DB:  PubMed          Journal:  Sultan Qaboos Univ Med J        ISSN: 2075-051X


  24 in total

1.  MutationTaster evaluates disease-causing potential of sequence alterations.

Authors:  Jana Marie Schwarz; Christian Rödelsperger; Markus Schuelke; Dominik Seelow
Journal:  Nat Methods       Date:  2010-08       Impact factor: 28.547

2.  Improved splice site detection in Genie.

Authors:  M G Reese; F H Eeckman; D Kulp; D Haussler
Journal:  J Comput Biol       Date:  1997       Impact factor: 1.479

3.  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

4.  Comprehensive statistical study of 452 BRCA1 missense substitutions with classification of eight recurrent substitutions as neutral.

Authors:  S V Tavtigian; A M Deffenbaugh; L Yin; T Judkins; T Scholl; P B Samollow; D de Silva; A Zharkikh; A Thomas
Journal:  J Med Genet       Date:  2005-07-13       Impact factor: 6.318

5.  Characterization and prediction of alternative splice sites.

Authors:  Magnus Wang; Antonio Marín
Journal:  Gene       Date:  2005-10-13       Impact factor: 3.688

Review 6.  A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS).

Authors:  Noralane M Lindor; Lucia Guidugli; Xianshu Wang; Maxime P Vallée; Alvaro N A Monteiro; Sean Tavtigian; David E Goldgar; Fergus J Couch
Journal:  Hum Mutat       Date:  2011-11-03       Impact factor: 4.878

7.  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 8.  Functional assays for analysis of variants of uncertain significance in BRCA2.

Authors:  Lucia Guidugli; Aura Carreira; Sandrine M Caputo; Asa Ehlen; Alvaro Galli; Alvaro N A Monteiro; Susan L Neuhausen; Thomas V O Hansen; Fergus J Couch; Maaike P G Vreeswijk
Journal:  Hum Mutat       Date:  2013-12-03       Impact factor: 4.878

9.  SNAP: predict effect of non-synonymous polymorphisms on function.

Authors:  Yana Bromberg; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2007-05-25       Impact factor: 16.971

10.  Penetrance estimates for BRCA1 and BRCA2 based on genetic testing in a Clinical Cancer Genetics service setting: risks of breast/ovarian cancer quoted should reflect the cancer burden in the family.

Authors:  D Gareth Evans; Andrew Shenton; Emma Woodward; Fiona Lalloo; Anthony Howell; Eamonn R Maher
Journal:  BMC Cancer       Date:  2008-05-30       Impact factor: 4.430

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