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一项基于人群的研究中除BRCA1和BRCA2外的其他乳腺癌易感基因的证据。

Evidence for further breast cancer susceptibility genes in addition to BRCA1 and BRCA2 in a population-based study.

作者信息

Antoniou A C, Pharoah P D, McMullan G, Day N E, Ponder B A, Easton D

机构信息

CRC Genetic Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.

出版信息

Genet Epidemiol. 2001 Jul;21(1):1-18. doi: 10.1002/gepi.1014.

Abstract

We used data from a population based series of breast cancer patients to investigate the genetic models that can best explain familial breast cancer not due to the BRCA1 and BRCA2 genes. The data set consisted of 1,484 women diagnosed with breast cancer under age 55 registered in the East Anglia Cancer registry between 1991-1996. Blood samples taken from the patients were analysed for mutations in BRCA1 and BRCA2. The genetic models were constructed using information on breast and ovarian cancer history in first-degree relatives and on the mutation status of the index patients. We estimated the simultaneous effects of BRCA1, BRCA2, a third hypothetical gene BRCA3, and a polygenic effect. The models were assessed by likelihood comparisons and by comparison of the observed numbers of mutations and affected relatives with the predicted numbers. BRCA1 and BRCA2 could not explain all the familial clustering of breast cancer. The best-fitting single gene model for BRCA3 was a recessive model with a disease allele frequency 24% and penetrance 42% by age 70. However, a polygenic model gave a similarly good fit. The estimated population frequencies for BRCA1 and BRCA2 mutations were similar under both recessive and polygenic models, 0.024 and 0.041%, respectively. A dominant model for BRCA3 gave a somewhat worse fit, although the difference was not significant. The mixed recessive model was identical to the recessive model and the mixed dominant very similar to the polygenic model. The BRCA3 genetic models were robust to the BRCA1 and BRCA2 penetrance assumptions. The overall fit of all models was improved when the known effects of parity on breast and ovarian cancer risks were included in the model-in this case a polygenic model fits best. These findings suggest that a number of common, low-penetrance genes with additive effects may account for the residual non-BRCA1/2 familial aggregation of breast cancer, but Mendelian inheritance of an autosomal recessive allele cannot be ruled out.

摘要

我们使用了基于人群的一系列乳腺癌患者的数据,来研究能够最好地解释非由BRCA1和BRCA2基因导致的家族性乳腺癌的遗传模型。该数据集由1991年至1996年间在东安格利亚癌症登记处登记的1484名55岁以下被诊断为乳腺癌的女性组成。对从患者采集的血样进行BRCA1和BRCA2突变分析。利用一级亲属的乳腺癌和卵巢癌病史信息以及索引患者的突变状态构建遗传模型。我们估计了BRCA1、BRCA2、第三个假设基因BRCA3的联合效应以及多基因效应。通过似然比较以及将观察到的突变数和受影响亲属数与预测数进行比较来评估模型。BRCA1和BRCA2不能解释所有乳腺癌的家族聚集现象。BRCA3的最佳拟合单基因模型是隐性模型,到70岁时疾病等位基因频率为24%,外显率为42%。然而,多基因模型拟合效果同样良好。在隐性和多基因模型下,BRCA1和BRCA2突变的估计人群频率相似,分别为0.024%和0.041%。BRCA3的显性模型拟合效果稍差,尽管差异不显著。混合隐性模型与隐性模型相同,混合显性模型与多基因模型非常相似。BRCA3遗传模型对BRCA1和BRCA2外显率假设具有稳健性。当模型中纳入已知的生育状况对乳腺癌和卵巢癌风险的影响时,所有模型的总体拟合度都得到了改善——在这种情况下,多基因模型拟合最佳。这些发现表明,一些具有累加效应的常见低外显率基因可能解释了乳腺癌中残余的非BRCA1/2家族聚集现象,但常染色体隐性等位基因的孟德尔遗传也不能排除。

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