Department of Medical Genetics, University of Tübingen, Calwer Str 7, 72076 Tubingen, Germany.
Breast Cancer Res Treat. 2010 Jul;122(1):287-97. doi: 10.1007/s10549-009-0639-z. Epub 2009 Nov 26.
Breast cancer is the most frequent form of carcinoma in European females (incidence 65 per 100,000). In about 10% of all cases, pedigree analysis predicts a hereditary breast-ovarian cancer syndrome (HBOC) to be causative for the disease. Frequently, mutations in two genes, BRCA1 (Chr. 17q21) and BRCA2 (Chr. 13q12), are associated with HBOC. In females, mutations in these genes result in a lifetime risk of 80-85% for breast cancer and 54% (BRCA1) or 23% (BRCA2) for ovarian cancer. Current genetic diagnostic tools for BRCA1 and BRCA2 remain laborious and expensive. Here, we present the first oligonucleotide resequencing microarray covering the complete coding sequence of both genes. In total, 36 previously characterized DNAs were resequenced; all 11 patients with single-nucleotide mutations and, due to a special mutational design, eight patients with heterozygous deletions were detected correctly. In total, 47 different single-nucleotide variants (SNVs) were found. A newly developed software, SeqC, reduced the number of ambiguous calls with the help of a statistical module comparing the acquired data to an online-database. SeqC improved the average call rate to 99% (GSeq: 97%) and reduced time and efforts for manual analysis. SeqC confirmed the results obtained by GSeq and found an additional 33 sequences changes representing 14 SNVs. In total, 945 kb were screened and the overall turnaround time for each patient took approximately 3 days, including analysis.
乳腺癌是欧洲女性最常见的癌种(发病率为每 10 万人中有 65 例)。大约 10%的病例中,家系分析预测遗传性乳腺癌-卵巢癌综合征(HBOC)是疾病的致病原因。经常与 HBOC 相关的是两个基因 BRCA1(染色体 17q21)和 BRCA2(染色体 13q12)的突变。在女性中,这些基因的突变导致乳腺癌终生风险为 80-85%,卵巢癌风险为 54%(BRCA1)或 23%(BRCA2)。目前用于 BRCA1 和 BRCA2 的遗传诊断工具仍然繁琐且昂贵。在这里,我们展示了第一个覆盖两个基因完整编码序列的寡核苷酸重测序微阵列。总共对 36 个先前已鉴定的 DNA 进行了重测序;所有 11 名具有单核苷酸突变的患者以及由于特殊突变设计而具有杂合性缺失的 8 名患者均被正确检测到。总共发现了 47 种不同的单核苷酸变体(SNVs)。一种新开发的软件 SeqC 通过比较获取的数据与在线数据库的统计模块,减少了模棱两可的调用数量。SeqC 将平均调用率提高到 99%(GSeq:97%),并减少了手动分析的时间和精力。SeqC 证实了 GSeq 获得的结果,并发现了另外 33 个序列变化,代表 14 个 SNVs。总共筛选了 945kb,每个患者的总周转时间约为 3 天,包括分析。