BackgroundApproximately 8–15% epithelial ovarian cancer patients are BRCA1 or BRCA2 germline mutation carriers. Brazilian inhabitants may have peculiar genetic characteristics associated with ethnic diversity, and studies focusing on the entire BRCA1/BRCA2 gene sequencing in Brazilian ovarian cancer patients are still lacking. The aim of this study was to evaluate BRCA1/2 mutations, through entire gene sequencing, in a Brazilian population of women with epithelial ovarian cancer.MethodsIn a cross sectional study performed in one reference centre for cancer treatment in São Paulo, Brazil, 100 patients diagnosed with epithelial ovarian cancer unselected for family history of breast and/or ovarian cancer were included. The complete coding sequence of BRCA1/2 genes was evaluated through Next-Generation or capillary sequencing. Large deletions were investigated through Multiplex Ligation-dependent Probe Amplification (MLPA).ResultsNineteen pathogenic mutations (BRCA1: n = 17 and BRCA2: n = 2) featuring 14 different mutations, including two large deletions in BRCA1 (exon 1–2 deleted and exon 5–7 deleted) were identified. Three mutations were detected more than once (c.3331_3334delCAAG, c.5266dupC and c.4484G > T). Two novel frameshift mutations were identified, one in BRCA1 (c.961_962delTG) and one in BRCA2 (c.1963_1963delC). BRCA1/2 mutations were seen in 35.5% of the patients with first and/or second-degree relatives with breast and/or ovarian cancer. Nineteen variants of uncertain significance (VUS) were detected (BRCA1: n = 2 and BRCA2: n = 17), including five distinct missense variants (BRCA1: c.5348 T > C; BRCA2: c.2350A > G, c.3515C > T, c.7534C > T, and c.8351G > A).ConclusionsAmong epithelial ovarian cancer patients unselected for family history of cancer, 19% were BRCA1/2 germline mutation carriers. Almost ¾ of the BRCA mutations, including two large deletions, were detected only once. Our work emphasizes the need of entire gene sequencing and MLPA screening in Brazil.Electronic supplementary materialThe online version of this article (doi:10.1186/s12885-016-2966-x) contains supplementary material, which is available to authorized users.

Background Red blood cells (RBC) and platelet (PLT) antigens genotyping is a useful tool applied to solve complex immunohaematologic cases, perform alloimmunization prophylaxis and search for rare blood donors. There are different high‐throughput platforms available for RBC and PLT genotyping, which differ in terms of comprised antigens, length of reaction, result interpretation and cost. The objective of this study was to compare the performance of two high‐throughput platforms designed for RBC and PLT genotyping: OpenArray (customized Real‐time platform) and BLOODchip (Luminex technology). Materials and Methods Blood samples of 242 blood donors were simultaneously tested using OpenArray and BLOODchip (ID‐Core XT and ID‐HPA XT) platforms. The methodologies were compared in terms of accuracy, duration of reaction, percentage of no‐calls, number of samples processed per reaction and interpretation software. The designed OpenArray assay comprised 37 single nucleotide polymorphisms (SNPs) encoding 31 RBC antigens and six PLT antigens, while the BLOODchip comprised 29 SNPs encoding erythrocyte antigens (ID ‐Core XT) and 12 SNPs encoding PLT antigens (ID‐HPA XT). Results The OpenArray accuracy was 99·93%, and BLOODchip accuracy, 100%. The percentage of no‐calls did not differ between the methodologies. OpenArray was less time‐consuming when performing both RBC and PLT genotyping, whereas BLOODchip presented proper software for results interpretation and allowed the evaluation of individuals samples per reaction. Conclusion Both OpenArray and BLOODchip methodologies are accurate and suitable for RBC and PLT genotyping. The choice between the platforms relies on the service genotyping goals.

Next generation sequencing (NGS) allowed the identification of mutations in most CF alleles and confirmed allelic heterogeneity in our population.

BackgroundThe aim of this study was to evaluate the OpenArray platform for genetic testing of blood donors and to assess the genotype frequencies of nucleotide-polymorphisms (SNPs) associated with venous thrombosis (G1691A and G20210A), hyperhomocysteinemia (C677T, A1298C), and hereditary hemochromatosis (C282Y, H63D and S65C) in blood donors from Sao Paulo, Brazil.MethodsWe examined 400 blood donor samples collected from October to November 2011. The SNPs were detected using OpenArray technology. The blood samples were also examined using a real-time PCR–FRET system to compare the results and determine the accuracy of the OpenArray method.ResultsWe observed 100% agreement in all assays tested, except HFE C282Y, which showed 99.75% agreement. The HFE C282Y assay was further confirmed through direct sequencing, and the results showed that OpenArray analysis was accurate. The calculated frequencies of each SNP were FV G1691A 98.8% (G/G), 1.2% (G/A); FII G2021A 99.5% (G/G), 0.5% (G/A); MTHFR C677T 45.5% (C/C), 44.8% (C/T), 9.8% (T/T); MTHFR A1298C 60.3% (A/A), 33.6% (A/C), 6.1% (C/C); HFE C282Y 96%(G/G), 4%(G/A), HFE H63D 78.1%(C/C), 20.3% (C/G), 1.6% (G/G); and HFE S65C 98.1% (A/A), 1.9% (A/T).ConclusionTaken together, these results describe the frequencies of SNPs associated with diseases and are important to enhance our current knowledge of the genetic profiles of Brazilian blood donors, although a larger study is needed for a more accurate determination of the frequency of the alleles. Furthermore, the OpenArray platform showed a high concordance rate with standard FRET RT-PCR.