1. Validation of the BOADICEA model for predicting the likelihood of carrying pathogenic variants in eight breast and ovarian cancer susceptibility genes.
- Author
-
Møller, Nanna Bæk, Boonen, Desirée Sofie, Feldner, Elisabeth Simone, Hao, Qin, Larsen, Martin, Lænkholm, Anne-Vibeke, Borg, Åke, Kvist, Anders, Törngren, Therese, Jensen, Uffe Birk, Boonen, Susanne Eriksen, Thomassen, Mads, and Terkelsen, Thorkild
- Subjects
- *
BRCA genes , *BREAST , *NUCLEOTIDE sequencing , *MEDICAL genetics , *CANCER genes , *RECEIVER operating characteristic curves - Abstract
BOADICEA is a comprehensive risk prediction model for breast and/or ovarian cancer (BC/OC) and for carrying pathogenic variants (PVs) in cancer susceptibility genes. In addition to BRCA1 and BRCA2, BOADICEA version 6 includes PALB2, CHEK2, ATM, BARD1, RAD51C and RAD51D. To validate its predictions for these genes, we conducted a retrospective study including 2033 individuals counselled at clinical genetics departments in Denmark. All counselees underwent comprehensive genetic testing by next generation sequencing on suspicion of hereditary susceptibility to BC/OC. Likelihoods of PVs were predicted from information about diagnosis, family history and tumour pathology. Calibration was examined using the observed-to-expected ratio (O/E) and discrimination using the area under the receiver operating characteristics curve (AUC). The O/E was 1.11 (95% CI 0.97–1.26) for all genes combined. At sub-categories of predicted likelihood, the model performed well with limited misestimation at the extremes of predicted likelihood. Discrimination was acceptable with an AUC of 0.70 (95% CI 0.66–0.74), although discrimination was better for BRCA1 and BRCA2 than for the other genes in the model. This suggests that BOADICEA remains a valid decision-making aid for determining which individuals to offer comprehensive genetic testing for hereditary susceptibility to BC/OC despite suboptimal calibration for individual genes in this population. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF