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Validation of the BOADICEA model in a prospective cohort of BRCA1/2 pathogenic variant carriers.

Authors :
Xin Yang
Mooij, Thea M.
Leslie, Goska
Ficorella, Lorenzo
Andrieu, Nadine
Kast, Karin
Singer, Christian F.
Jakubowska, Anna
van Gils, Carla H.
Yen Y. Tan
Engel, Christoph
Adank, Muriel A.
van Asperen, Christi J.
Ausems, Margreet G. E. M.
Berthet, Pascaline
Collee, Margriet J.
Cook, Jackie A.
Eason, Jacqueline
van Spaendonck-Zwarts, Karin Y.
Evans, D. Gareth
Source :
Journal of Medical Genetics; Aug2024, Vol. 61 Issue 8, p803-809, 20p
Publication Year :
2024

Abstract

Background No validation has been conducted for the BOADICEA multifactorial breast cancer risk prediction model specifically in BRCA1/2 pathogenic variant (PV) carriers to date. Here, we evaluated the performance of BOADICEA in predicting 5-year breast cancer risks in a prospective cohort of BRCA1/2 PV carriers ascertained through clinical genetic centres. Methods We evaluated the model calibration and discriminatory ability in the prospective TRANsIBCCS cohort study comprising 1614 BRCA1 and 1365 BRCA2 PV carriers (209 incident cases). Study participants had lifestyle, reproductive, hormonal, anthropometric risk factor information, a polygenic risk score based on 313 SNPs and family history information. Results The full multifactorial model considering family history together with all other risk factors was well calibrated overall (E/O=1.07, 95% CI: 0.92 to 1.24) and in quintiles of predicted risk. Discrimination was maximised when all risk factors were considered (Harrell's C-index=0.70, 95% CI: 0.67 to 0.74; area under the curve=0.79, 95% CI: 0.76 to 0.82). The model performance was similar when evaluated separately in BRCA1 or BRCA2 PV carriers. The full model identified 5.8%, 12.9% and 24.0% of BRCA1/2 PV carriers with 5-year breast cancer risks of <1.65%, <3% and <5%, respectively, risk thresholds commonly used for different management and risk-reduction options. Conclusion BOADICEA may be used to aid personalised cancer risk management and decision-making for BRCA1 and BRCA2 PV carriers. It is implemented in the free-access CanRisk tool (https:// www.canrisk.org/). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00222593
Volume :
61
Issue :
8
Database :
Complementary Index
Journal :
Journal of Medical Genetics
Publication Type :
Academic Journal
Accession number :
179416850
Full Text :
https://doi.org/10.1136/jmg-2024-109943