2004
DOI: 10.1038/sj.bjc.6602175
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The BOADICEA model of genetic susceptibility to breast and ovarian cancer

Abstract: Several genes conferring susceptibility to breast and ovarian cancer, notably BRCA1 and BRCA2, have been identified. The majority of the familial aggregation of breast cancer is, however, not explained by these genes. We have previously derived, using segregation analysis, a susceptibility model (BOADICEA, Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) in which susceptibility to these genes is explained by mutations in BRCA1 and BRCA2 together with a polygenic component refl… Show more

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Cited by 419 publications
(341 citation statements)
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“…The BOADICEA model of genetic susceptibility to breast and ovarian cancer was developed using complex segregation analysis of breast and ovarian cancer (Antoniou et al, 2002(Antoniou et al, , 2004. We agree with van Asperen et al that as it stands, the model is not easy to use in clinical practice.…”
Section: Sirsupporting
confidence: 69%
See 2 more Smart Citations
“…The BOADICEA model of genetic susceptibility to breast and ovarian cancer was developed using complex segregation analysis of breast and ovarian cancer (Antoniou et al, 2002(Antoniou et al, , 2004. We agree with van Asperen et al that as it stands, the model is not easy to use in clinical practice.…”
Section: Sirsupporting
confidence: 69%
“…In the updated version, the average risk of breast cancer in BRCA1 mutation carriers by age 70 varies between 50 and 59% depending on the year of birth. Applying the latest version of the model to the family in Figure 2 of Antoniou et al (2004), the 40-year-old woman is predicted to carry a BRCA1 mutation with probability 41% and a BRCA2 mutation with a probability 1% (very similar to the previous estimates). However, her predicted risk of developing breast cancer by age 70 is now higher, 28%, perhaps closer to the expectations of van Asperen and co-workers.…”
Section: Sirsupporting
confidence: 67%
See 1 more Smart Citation
“…They found the best discriminator between carriers and non carriers was BRCAPRO, and this could be enhanced by incorporating pathology data. Antoniou et al [21] studied 195 French-Canadian probands and compared predicted carrier probabilities under the BOADICEA [27] and BRCAPRO computer models. They found, as we did, that BRCAPRO over-predicted carriers with high predicted probabilities.…”
Section: Discussionmentioning
confidence: 99%
“…In order to maximize both the efficiency of testing and the public health impact of a genetic screening program, many centers offer screening to women when the prior probability of finding a mutation is 10% or greater [7]. Several mathematical models such as BRCAPRO (http://astor.som.jhmi.edu/BayesMendel/brcapro.html) and the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) can be used to estimate the prior probability of carrying a mutation [8,9]. These models consider age of onset and family history of cancer.…”
Section: Genetic Screeningmentioning
confidence: 99%