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Clin Genet ; 93(3): 595-602, 2018 03.
Article in English | MEDLINE | ID: mdl-28802053

ABSTRACT

Gene-panel sequencing allows comprehensive analysis of multiple genes simultaneously and is now routinely used in clinical mutation testing of high-risk breast and ovarian cancer patients. However, only BRCA1 and BRCA2 are often analyzed also for large genomic changes. Here, we have analyzed 10 clinically relevant susceptibility genes in 95 breast or ovarian cancer patients with gene-panel sequencing including also copy number variants (CNV) analysis for genomic changes. We identified 12 different pathogenic BRCA1, BRCA2, TP53, PTEN, CHEK2, or RAD51C mutations in 18 of 95 patients (19%). BRCA1/2 mutations were observed in 8 patients (8.4%) and CHEK2 protein-truncating mutations in 7 patients (7.4%). In addition, we identified a novel duplication encompassing most of the RAD51C gene. We further genotyped the duplication in breast or ovarian cancer families (n = 1149), in unselected breast (n = 1729) and ovarian cancer cohorts (n = 553), and in population controls (n = 1273). Seven additional duplication carries were observed among cases but none among controls. The duplication associated with ovarian cancer risk (3/590 of all ovarian cancer patients, 0.5%, P = .032 compared with controls) and was found to represent a large fraction of all identified RAD51C mutations in the Finnish population. Our data emphasizes the importance of comprehensive mutation analysis including CNV detection in all the relevant genes.


Subject(s)
Breast Neoplasms/diagnosis , Breast Neoplasms/genetics , DNA-Binding Proteins/genetics , Gene Duplication , Genetic Association Studies , Genetic Predisposition to Disease , Ovarian Neoplasms/diagnosis , Ovarian Neoplasms/genetics , Adult , Aged , Alleles , Biomarkers, Tumor , Exons , Female , Finland , Gene Frequency , Genetic Association Studies/methods , Genetic Testing , Germ-Line Mutation , Hereditary Breast and Ovarian Cancer Syndrome/diagnosis , Hereditary Breast and Ovarian Cancer Syndrome/genetics , High-Throughput Nucleotide Sequencing , Humans , Middle Aged
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