We have tested for large BRCA1 gene rearrangements in German high-risk breast and ovarian cancer families previously screened negative for point mutations by dHPLC and sequencing. Using the novel MLPA method, two deletions of exons 1A, 1B and 2 and exon 17, respectively, were detected in four out of 75 families investigated in Southern Germany. An identical exon 17 deletion with the same breakpoints and a deletion of exons 1A, 1B and 2 were found by fluorescent multiplex PCR in two out of 30 families investigated in Northern Germany. Combining both populations, genomic rearrangements were found in 6 % of the mutation-negative families and 3 % of all high-risk families and account for 8 % of all BRCA1 mutations. Our data indicate that the exon 17 deletion may be a founder mutation in the German population. The prevalence of BRCA1 gene deletions or duplications in our patients is similar to previous reports from Germany and France. Genomic quantification by MLPA is a useful method for molecular diagnostics in high-risk breast cancer families.

Since the identification of the breast and ovarian cancer susceptibility genes BRCA1 and BRCA2, a large number of different germline mutations in both genes have been found by conventional PCR-based mutation detection methods. Complex germline rearrangements such as those reported in the BRCA1 gene are often not detectable by these standard diagnostic techniques. To detect large deletions or duplications encompassing one or more exons of the BRCA1 gene and in order to estimate the frequency of BRCA1 rearrangements in German breast or ovarian cancer families, a semi-quantitative multiplex PCR method was developed and applied to DNA samples of patients from families negatively tested for disease causing mutations in the BRCA1 and BRCA2 coding regions by direct sequencing. Out of 59 families analysed, one family was found to carry a rearrangement in the BRCA1 gene (duplication of exon 13). The results indicate that the semi-quantitative multiplex PCR method is useful for the detection of large rearrangements in the BRCA1 gene and therefore represents an additional valuable tool for mutation analysis of BRCA1 and BRCA2.