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首页> 外文期刊>British Journal of Cancer >The BOADICEA model of genetic susceptibility to breast and ovarian cancer
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The BOADICEA model of genetic susceptibility to breast and ovarian cancer

机译:BOADICEA模型对乳腺癌和卵巢癌的遗传易感性

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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 reflecting the joint multiplicative effect of multiple genes of small effect on breast cancer risk. Here, we consider the predictions made by this model. The overall familial risks of breast cancer predicted by this model are close to those observed in epidemiological studies. The predicted prevalences of BRCA1 and BRCA2 mutations among unselected cases of breast and ovarian cancer are also consistent with observations from population-based studies. These predictions are closer to the observed values than those obtained using the Claus model and BRCAPRO. The predicted mutation probabilities and cancer risks in individuals with a family history (FH) can differ markedly from those predicted by other models. We conclude that this model provides a rational basis for risk assessment in individuals with a FH of breast or ovarian cancer.
机译:已经鉴定出几种赋予乳腺癌和卵巢癌敏感性的基因,特别是BRCA1和BRCA2。然而,这些基因并未解释乳腺癌的大多数家族聚集。我们以前使用隔离分析得出了一种敏感性模型(BOADICEA,疾病发生率的乳腺癌和卵巢分析和携带者估计算法),其中通过BRCA1和BRCA2的突变以及反映联合乘法的多基因成分解释了这些基因的敏感性多种基因对乳腺癌的风险影响很小。在这里,我们考虑由该模型做出的预测。通过该模型预测的总体乳腺癌家族风险与流行病学研究中观察到的风险接近。在未选出的乳腺癌和卵巢癌病例中,预测的BRCA1和BRCA2突变患病率也与基于人群的研究结果一致。这些预测比使用Claus模型和BRCAPRO获得的预测值更接近于观测值。具有家族史(FH)的个体的预测突变概率和癌症风险可能与其他模型预测的显着不同。我们得出的结论是,该模型为患有乳腺癌或卵巢癌的FH患者进行风险评估提供了合理的基础。

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