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首页> 外文期刊>British Journal of Cancer >The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions
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The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions

机译:BOADICEA乳腺癌和卵巢癌的遗传易感性模型:更新和扩展

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Multiple genetic loci confer susceptibility to breast and ovarian cancers. We have previously developed a model (BOADICEA) under which susceptibility to breast cancer is explained by mutations in BRCA1 and BRCA2, as well as by the joint multiplicative effects of many genes (polygenic component). We have now updated BOADICEA using additional family data from two UK population-based studies of breast cancer and family data from BRCA1 and BRCA2 carriers identified by 22 population-based studies of breast or ovarian cancer. The combined data set includes 2785 families (301 BRCA1 positive and 236 BRCA2 positive). Incidences were smoothed using locally weighted regression techniques to avoid large variations between adjacent intervals. A birth cohort effect on the cancer risks was implemented, whereby each individual was assumed to develop cancer according to calendar period-specific incidences. The fitted model predicts that the average breast cancer risks in carriers increase in more recent birth cohorts. For example, the average cumulative breast cancer risk to age 70 years among BRCA1 carriers is 50% for women born in 1920–1929 and 58% among women born after 1950. The model was further extended to take into account the risks of male breast, prostate and pancreatic cancer, and to allow for the risk of multiple cancers. BOADICEA can be used to predict carrier probabilities and cancer risks to individuals with any family history, and has been implemented in a user-friendly Web-based program (http://www.srl.cam.ac.uk/genepi/boadicea/boadicea_home.html).
机译:多个基因座赋予乳腺癌和卵巢癌的易感性。我们之前已经开发了一个模型(BOADICEA),在该模型下,通过BRCA1和BRCA2的突变以及许多基因(多基因成分)的联合乘法效应可以解释乳腺癌的易感性。现在,我们已使用来自两项基于英国人群的乳腺癌研究的其他家族数据,以及根据22项基于人群的乳腺癌或卵巢癌研究确定的BRCA1和BRCA2携带者的家族数据,更新了BOADICEA。合并的数据集包括2785个系列(301个BRCA1阳性和236个BRCA2阳性)。使用局部加权回归技术对发生率进行了平滑处理,以避免相邻区间之间的较大差异。实施了出生队列对癌症风险的影响,据此假设每个人根据日历期特定的发生率患上癌症。拟合模型预测,在最近的出生队列中,携带者的平均乳腺癌风险会增加。例如,BRCA1携带者在1920年至1929年间出生的女性中,平均70岁之前的累积乳腺癌风险为50%,在1950年以后的女性中为58%。该模型进一步扩展以考虑男性的风险乳腺癌,前列腺癌和胰腺癌,并考虑多种癌症的风险。 BOADICEA可用于预测具有任何家族史的个体的携带者概率和癌症风险,并且已在基于用户友好的基于Web的程序中实现(http://www.srl.cam.ac.uk/genepi/boadicea/ boadicea_home.html)。

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