German Consortium for Hereditary Breast and Ovarian Cancer
OverviewThe aim of the GC-HBOC is to improve the cinical care of patients with a family history of breast and ovarian cancer in Germany through a network of specialised university centers providing structured interdisciplinary care. Furthermore, GC-HBOC collects comprehensive data on patients and families in a standardized manner, in order to promote research on hereditary breast and ovarian cancer.
The German Consortium for Hereditary Breast and Ovarian Cancer (GC-HBOC) has been founded in 1996 by the German Cancer Aid and has been funded by the German Cancer Aid until recently. GC-HBOC currently comprises 17 university centers providing genetic counseling, histopathological and molecular tissue analysis, genetic testing, and specific structured surveillance programs for early cancer detection at each clinical unit, all based on defined standard operating procedures.
Programme: Epidemiology
LHA-ID: 7Q0CE8DEEW-2
Public web page: http://www.konsortium-familiaerer-brustkrebs.de/
Human Diseases: Hereditary breast ovarian cancer syndrome
Leipzig Health Atlas PALs: No PALs for this Project
Project Coordinators: No Project coordinators for this Project
Project start date: 1st Jan 1996
Related items
Projects: LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
https://orcid.org/0000-0002-7247-282X
Projects: Leipzig Health Atlas, LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Group, Onto-Med Research Group, LIFE Heart, Molecular mechanisms in malignant lymphoma, German Lymphoma Alliance (GLA), Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, Natural Language Processing for Clinical Research, Genetical Statistics and Systems Biology, German Competence Network Sepsis (SepNet), LIFE Child, Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
The GC-HBOC BC Risk Explorer (GC-HBOC BC-RE) predicts the breast cancer risk for BRCA1/2 carriers and high-risk non-carriers at risk for first breast cancer (cohort 1), and BRCA1/2 carriers and high-risk non-carriers who were previously diagnosed with unilateral breast cancer, and are at risk for contralateral breast cancer (cohort 2). GC-HBOC BC-RE is based on data from female BRCA1/2 carriers and non-carriers with a family history of breast and ovarian cancer, who participated in the intensified
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Creators: Silke Zachariae, Christoph Engel
Contributor: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Not specified
Motivation:
The "GC-HBOC Mutation Frequency Explorer" can be used to assist clinicians and genetic counselors in the clinical management of families suspected of having hereditary breast and ovarian cancer and to decide whether genetic testing should be performed.
Description:
The "GC-HBOC Mutation Frequency Explorer" is a tool to determine the observed frequencies of pathogenic BRCA1 and BRCA2 mutations based on familial cancer history data collected since 1996 by the German Consortium for
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Creators: Silke Zachariae, Christoph Engel
Contributor: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Not specified
External LinkMotivation:
The "Manchester Scoring System" can be used to assist clinicians and genetic counselors in the clinical management of families suspected of having hereditary breast and ovarian cancer and to decide whether genetic testing should be performed.
Description:
The "Manchester Scoring System" is an empirical mutation risk prediction model. In its current form, a risk score for the identification of a pathogenic BRCA1/2 mutation is being calculated based on the number of breast and ovarian
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Creators: Silke Zachariae, Christoph Engel, Evans, D.G. et al. (2009)
Contributor: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Not specified
Motivation:
The eClaus model can be used to calculate mutation risks for BRCA1/2 as well as life-time risks for breast cancer in women from families with multiple and/or early onset cases of breast and ovarian cancer. The model can be used to assist genetic counselors in clinical decision making regarding genetic testing, intensified surveillance, and prophylatic surgery.
Description:
The Claus model is a genetic breast cancer risk calculation model assuming a single rare, highly penetrant gene.
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Creators: Silke Zachariae, Christoph Engel, Claus, E.B. et al. (1991 and 1994)
Contributor: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Not specified
Abstract (Expand)
Authors: Christoph Engel, C. Fischer, Silke Zachariae, K. Bucksch, K. Rhiem, J. Giesecke, N. Herold, B. Wappenschmidt, V. Hubbel, M. Maringa, S. Reichstein-Gnielinski, E. Hahnen, C. R. Bartram, N. Dikow, S. Schott, D. Speiser, D. Horn, E. M. Fallenberg, M. Kiechle, A. S. Quante, A. S. Vesper, T. Fehm, C. Mundhenke, N. Arnold, E. Leinert, W. Just, U. Siebers-Renelt, S. Weigel, A. Gehrig, A. Wockel, B. Schlegelberger, S. Pertschy, K. Kast, P. Wimberger, S. Briest, M. Loeffler, U. Bick, R. K. Schmutzler
Date Published: 13th May 2019
Journal: Int J Cancer
Human Diseases: hereditary breast ovarian cancer syndrome
Abstract (Expand)
Authors: M. Kiechle, R. Dukatz, M. Yahiaoui-Doktor, A. Berling, M. Basrai, V. Staiger, U. Niederberger, N. Marter, J. Lammert, S. Grill, K. Pfeifer, K. Rhiem, R. K. Schmutzler, M. Laudes, M. Siniatchkin, M. Halle, S. C. Bischoff, Christoph Engel
Date Published: 10th Nov 2017
Journal: BMC Cancer
Human Diseases: Not specified
Abstract (Expand)
Authors: C. Fischer, K. Kuchenbacker, Christoph Engel, Silke Zachariae, K. Rhiem, A. Meindl, N. Rahner, N. Dikow, H. Plendl, I. Debatin, T. Grimm, D. Gadzicki, R. Flottmann, J. Horvath, E. Schrock, F. Stock, D. Schafer, I. Schwaab, C. Kartsonaki, N. Mavaddat, B. Schlegelberger, A. C. Antoniou, R. Schmutzler
Date Published: 9th Apr 2013
Journal: J Med Genet
Human Diseases: hereditary breast ovarian cancer syndrome
Abstract (Expand)
Authors: K. Kast, R. K. Schmutzler, K. Rhiem, M. Kiechle, C. Fischer, D. Niederacher, N. Arnold, T. Grimm, D. Speiser, B. Schlegelberger, D. Varga, J. Horvath, M. Beer, S. Briest, A. Meindl, Christoph Engel
Date Published: 15th Nov 2014
Journal: Int J Cancer
Human Diseases: Not specified
Abstract (Expand)
Authors: K. Kast, K. Rhiem, B. Wappenschmidt, E. Hahnen, J. Hauke, B. Bluemcke, V. Zarghooni, N. Herold, N. Ditsch, M. Kiechle, M. Braun, C. Fischer, N. Dikow, S. Schott, N. Rahner, D. Niederacher, T. Fehm, A. Gehrig, C. Mueller-Reible, N. Arnold, N. Maass, G. Borck, N. de Gregorio, C. Scholz, B. Auber, R. Varon-Manteeva, D. Speiser, J. Horvath, N. Lichey, P. Wimberger, S. Stark, U. Faust, B. H. Weber, G. Emons, Silke Zachariae, A. Meindl, R. K. Schmutzler, Christoph Engel
Date Published: 2nd Mar 2016
Journal: J Med Genet
Human Diseases: Not specified
