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The detection of unknown mutations remains a serious challenge and, despite the expected benefits for the patient's health, a large number of genes are not screened on a routine basis. We present the diagnostic application of EMMA (Enhanced Mismatch Mutation Analysis(®) , Fluigent, Paris, France), a novel method based on heteroduplex analysis by capillary electrophoresis using innovative matrices. BRCA1 and BRCA2 were screened for point mutations and large rearrangements in 1,525 unrelated patients (372 for the validation step and 1,153 in routine diagnosis) using a single analytical condition. Seven working days were needed for complete BRCA1/2 screening in 30 patients by one technician (excluding DNA extraction and sequencing). A total of 137 mutations were found, including a BRCA2 duplication of exons 19 and 20, previously missed by Comprehensive BRACAnalysis(®) . The mutation detection rate was 11.9%, which is consistent with patient inclusions. This study therefore suggests that EMMA represents a valuable short-term and midterm option for many diagnostic laboratories looking for an easy, reliable, and affordable strategy, enabling fast and sensitive analysis for a large number of genes., (© 2011 Wiley-Liss, Inc.)

Nearly one-half of BRCA1 and BRCA2 sequence variations are variants of uncertain significance (VUSs) and are candidates for splice alterations for example, by disrupting/creating splice sites. As out-of-frame splicing defects lead to a marked reduction of the level of the mutant mRNA cleared through nonsense-mediated mRNA decay, a cDNA-based test was developed to show the resulting allelic imbalance (AI). Fifty-four VUSs identified in 53 hereditary breast/ovarian cancer (HBOC) patients without BRCA1/2 mutation were included in the study. Two frequent exonic single-nucleotide polymorphisms on both BRCA1 and BRCA2 were investigated by using a semiquantitative single-nucleotide primer extension approach and the cDNA allelic ratios obtained were corrected using genomic DNA ratios from the same sample. A total of five samples showed AI. Subsequent transcript analyses ruled out the implication of VUS on AI and identified a deletion encompassing BRCA2 exons 12 and 13 in one sample. No sequence abnormality was found in the remaining four samples, suggesting implication of cis- or trans-acting factors in allelic expression regulation that might be disease causative in these HBOC patients. Overall, this study showed that AI screening is a simple way to detect deleterious splicing defects and that a major role for VUSs and deep intronic mutations in splicing anomalies is unlikely in BRCA1/2 genes. Methods to analyze gene expression and identify regulatory elements in BRCA1/2 are now needed to complement standard approaches to mutational analysis.