Author:
Whiley Phillip J,Pettigrew Christopher A,Brewster Brooke L,Walker Logan C,Spurdle Amanda B,Brown Melissa A,
Abstract
Abstract
Background
Genetic screening of breast cancer patients and their families have identified a number of variants of unknown clinical significance in the breast cancer susceptibility genes, BRCA1 and BRCA2. Evaluation of such unclassified variants may be assisted by web-based bioinformatic prediction tools, although accurate prediction of aberrant splicing by unclassified variants affecting exonic splice enhancers (ESEs) remains a challenge.
Methods
This study used a combination of RT-PCR analysis and splicing reporter minigene assays to assess five unclassified variants in the BRCA2 gene that we had previously predicted to disrupt an ESE using bioinformatic approaches.
Results
Analysis of BRCA2 c.8308 G > A (p.Ala2770Thr) by mRNA analysis, and BRCA2 c.8962A > G (p.Ser2988Gly), BRCA2 c.8972G > A (p.Arg2991His), BRCA2 c.9172A > G (p.Ser3058Gly), and BRCA2 c.9213G > T (p.Glu3071Asp) by a minigene assay, revealed no evidence for aberrant splicing.
Conclusions
These results illustrate the need for improved methods for predicting functional ESEs and the potential consequences of sequence variants contained therein.
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics
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