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Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2.

机译:确定乳腺癌易感性基因BRCA1和BRCA2的携带者概率。

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摘要

Breast cancer-susceptibility genes BRCA1 and BRCA2 have recently been identified on the human genome. Women who carry a mutation of one of these genes have a greatly increased chance of developing breast and ovarian cancer, and they usually develop the disease at a much younger age, compared with normal individuals. Women can be tested to see whether they are carriers. A woman who undergoes genetic counseling before testing can be told the probabilities that she is a carrier, given her family history. In this paper we develop a model for evaluating the probabilities that a woman is a carrier of a mutation of BRCA1 and BRCA2, on the basis of her family history of breast and ovarian cancer in first- and second-degree relatives. Of special importance are the relationships of the family members with cancer, the ages at onset of the diseases, and the ages of family members who do not have the diseases. This information can be elicited during genetic counseling and prior to genetic testing. The carrier probabilities are obtained from Bayes's rule, by use of family history as the evidence and by use of the mutation prevalences as the prior distribution. In addressing an individual's carrier probabilities, we incorporate uncertainty about some of the key inputs of the model, such as the age-specific incidence of diseases and the overall prevalence of mutations. There is some evidence that other, undiscovered genes may be important in explaining familial breast cancer. Users of the current version of the model should be aware of this limitation. The methodology that we describe can be extended to more than two genes, should data become available about other genes.
机译:最近在人类基因组中发现了乳腺癌易感基因BRCA1和BRCA2。携带这些基因之一突变的女性患乳腺癌和卵巢癌的机会大大增加,而且与正常个体相比,她们通常在年轻得多的年龄患此病。可以对妇女进行检查,看看她们是否是携带者。考虑到她的家族史,可以在接受测试之前接受基因咨询的女性被告知自己是携带者的可能性。在本文中,我们根据一级和二级亲属的乳腺癌和卵巢癌家族史,开发了一个模型,用于评估女性携带BRCA1和BRCA2突变的可能性。特别重要的是家庭成员与癌症的关系,疾病发作的年龄以及没有疾病的家庭成员的年龄。这些信息可以在遗传咨询期间和遗传检测之前获得。通过使用家族史作为证据,并使用突变发生率作为先验分布,从贝叶斯定律获得携带者概率。在解决个体的携带者概率时,我们纳入了模型某些关键输入的不确定性,例如特定年龄的疾病发病率和总体突变发生率。有证据表明,其他尚未发现的基因在解释家族性乳腺癌中可能很重要。当前版本模型的用户应注意此限制。如果可以获得有关其他基因的数据,我们描述的方法可以扩展到两个以上的基因。

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