Clinical genome sequencing in patients with hereditary breast and ovarian cancer: Concept, implementation and benefits

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<sup>-14</sup>, 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.

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Publication Details

Journal
The Breast
Published
2025-05-15
DOI
https://doi.org/10.1016/j.breast.2025.104505
Citations
2
Primary Topic
BRCA gene mutations in cancer
Type
article
Field-Weighted Citation Impact
3.63

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article

Clinical genome sequencing in patients with hereditary breast and ovarian cancer: Concept, implementation and benefits

Benita Menden, Leon Schütz, Tobias B. Haack, Lisa Ruisinger et al.
2 citations
The Breast
BRCA gene mutations in cancer
3.63
article

Clinical genome sequencing in patients with hereditary breast and ovarian cancer: Concept, implementation and benefits

Benita Menden, Leon Schütz, Tobias B. Haack, Lisa Ruisinger, Andreas Hartkopf, Elena Buena Atienza, Jörn H. Witt, Ines Gruber, Caspar Groß, Nicolas Casadei, Christopher Schroeder, Andreas Dufke, Olaf Rieß, K. Mehnert, Dennis Witt, Marc Sturm, Ulrike Faust, Stephan Ossowski, German Demidov, Kristin Bosse, Antje Stäbler
article en
2 citations

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<sup>-14</sup>, 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.

The BreastVol. 82
Universitäts Frauenklinik (DE), Bernstein Center for Computational Neuroscience Tübingen (DE), Klinikum Sindelfingen-Böblingen (DE), University of Tübingen (DE)
Illumina, Bundesministerium für Gesundheit und Frauen, Bundesministerium für Gesundheit
Zero hunger
Openalex Percentile: Top 8%
BRCA gene mutations in cancer
3.63
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