| Literature DB >> 26022348 |
Christopher Schroeder1, Ulrike Faust2, Marc Sturm2, Karl Hackmann3, Kathrin Grundmann2, Florian Harmuth2, Kristin Bosse2, Martin Kehrer2, Tanja Benkert2, Barbara Klink3, Luisa Mackenroth3, Elitza Betcheva-Krajcir3, Pauline Wimberger4, Karin Kast4, Mechthilde Heilig2, Huu Phuc Nguyen2, Olaf Riess2, Evelin Schröck3, Peter Bauer2, Andreas Rump3.
Abstract
Multi-gene panels are used to identify genetic causes of hereditary breast and ovarian cancer (HBOC) in large patient cohorts. This study compares the diagnostic workflow in two centers and gives valuable insights into different next-generation sequencing (NGS) strategies. Moreover, we present data from 620 patients sequenced at both centers. Both sequencing centers are part of the German consortium for hereditary breast and ovarian cancer (GC-HBOC). All 620 patients included in this study were selected following standard BRCA1/2 testing guidelines. A set of 10 sequenced genes was analyzed per patient. Twelve samples were exchanged and sequenced at both centers. NGS results were highly concordant in 12 exchanged samples (205/206 variants = 99.51 %). One non-pathogenic variant was missed at center B due to a sequencing gap (no technical coverage). The custom enrichment at center B was optimized during this study; for example, the average number of missing bases was reduced by a factor of four (vers. 1: 1939.41, vers. 4: 506.01 bp). There were no sequencing gaps at center A, but four CCDS exons were not included in the enrichment. Pathogenic mutations were found in 12.10 % (75/620) of all patients: 4.84 % (30/620) in BRCA1, 4.35 % in BRCA2 (27/620), 0.97 % in CHEK2 (6/620), 0.65 % in ATM (4/620), 0.48 % in CDH1 (3/620), 0.32 % in PALB2 (2/620), 0.32 % in NBN (2/620), and 0.16 % in TP53 (1/620). NGS diagnostics for HBOC-related genes is robust, cost effective, and the method of choice for genetic testing in large cohorts. Adding 8 genes to standard BRCA1- and BRCA2-testing increased the mutation detection rate by one-third.Entities:
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Year: 2015 PMID: 26022348 DOI: 10.1007/s10549-015-3429-9
Source DB: PubMed Journal: Breast Cancer Res Treat ISSN: 0167-6806 Impact factor: 4.872