Clinical genome sequencing in patients with hereditary breast and ovarian cancer: Concept, implementation and benefits
- PMID: 40403485
- PMCID: PMC12150180
- DOI: 10.1016/j.breast.2025.104505
Clinical genome sequencing in patients with hereditary breast and ovarian cancer: Concept, implementation and benefits
Abstract
Hereditary breast and ovarian cancer (HBOC) is one of the most frequent genetic cancer predisposition syndromes. Individuals at risk are identified mainly by family history and histopathological criteria. The current standard genetic testing is exome or panel sequencing. However, many high-risk families remain genetically unexplained. Genome sequencing has the potential to increase the diagnostic yield. This single-center real-world study aims to evaluate advantages of short-read genome sequencing (GS) in HBOC families. We report genome sequencing results of 818 index patients, who fulfilled clinical criteria for genetic testing. Data analysis showed less sequencing gaps and a more uniform coverage compared to a large cohort of in-house exomes. Samples were sequenced at an average depth of 41.2x for the HBOC core genes. Pathogenic variants were found in 9 of 13 core genes in 12.2 % of the patients. GS allowed the classification of a BRCA1 duplication and detected a whole-exon inversion in BARD1, as well as a deep intronic CHEK2 variant. Furthermore, we successfully used the BRIDGES-PRS in our HBOC cohort and found a significant effect size compared to the control cohort (p = 4.804-14, Cohen's-D: 0.476), proving the transferability to a German cohort. GS offers a wealth of information, including the improved detection of structural variants, copy number variants, and parallel detection of complex genetic markers. This has the potential for future analyses, including intronic and intergenic regions. Finally, it also allows for a more streamlined process by converging several tests into one. The approach presented will give guidance for the implementation of GS in HBOC diagnostics.
Keywords: Clinical genome sequencing; HBOC; Hereditary breast and ovarian cancer; Next-generation sequencing; PRS; Polygenic risk scores; Short read sequencing.
Copyright © 2025 The Authors. Published by Elsevier Ltd.. All rights reserved.
Conflict of interest statement
Declaration of competing interest Dennis Witt:I have no competing interest to declare. Ulrike Faust:Has no competing interest to declare. Marc Sturm:Has no competing interest to declare. Antje Stäbler:Has no competing interest to declare. Benita Menden:Has no competing interest to declare. Lisa T. Ruisinger:Has no competing interest to declare. Kristin Bosse:Has no competing interest to declare. Ines Gruber:Has no competing interest to declare. Andreas Hartkopf:Has no competing interest to declare. Silja Gauss:Has no competing interest to declare. German Demidov:Has received research funding by European Union's Horizon 2020 research and innovation programme under grant agreement number 779257 and has received fees for consulting by Diagenius BV, Amsterdam, Netherlands. Both instances are not associated with the current paper. Nicolas Casadei:Has received research funding by Deutsche Forschungsgemeinschaft (DFG) under the ID INST 37/1049-1 and received payment for lectures at university of Reutlingen. Elena Buena Atienza:Has received research funding by Deutsche Forschungsgemeinschaft (DFG) under the ID INST 37/1049-1. Janna Witt:Has no competing interest to declare. Caspar Gross:Has no competing interest to declare. Leon Schütz:Has no competing interest to declare. Stephan Ossowski:Has received research funding by Illumina Inc and Honoraria from Illumina Inc. For a presentation at GfH conference 2023 as well as support for attending meetings at Illumina and ONT in 2023. Andreas Dufke:Has no competing interest to declare. Tobias Haack:Has received research funding by Illumina Inc. Olaf Riess:Has received research funding by Illumina Inc and German Research Foundation and EU funding and German ministry of Health. Olaf Riess is also Representative of the German Ministry of Health in the European + MG Project (unpaid). Christopher Schroeder:Has received research funding by Illumina Inc.
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