Andrieu N, Demenais F, Martinez M
Unité de Recherche de Génétique Epidémiologique, I.N.S.E.R.M., Paris, France.
Genet Epidemiol. 1988;5(4):225-33. doi: 10.1002/gepi.1370050404.
Genetic analysis of human breast cancer, as with many common diseases, raises several problems including sampling strategies, genetic heterogeneity, and gene-environment interactions. A reanalysis of 200 Danish breast cancer pedigrees, under the unified mixed model, was conducted to investigate more specifically these three points. We found that use of different sampling schemes leads to similar conclusions: familial transmission of breast cancer in this whole Danish sample cannot be accounted for by the Mendelian segregation of a dominant gene. Homogeneity tests, based on an a priori subdivision of the sample, were all nonsignificant under a given genetic model. However, it was possible to isolate a particular subgroup of pedigrees displaying only breast cancer, which was compatible with the segregation of a dominant gene. We have also shown that correct specification of a liability indicator according to epidemiological factors is of major importance to detect a major effect under the mixed model. Our results emphasize the need to design family studies including various types of information in the probands and family members to permit some progress in the understanding of complex diseases.
与许多常见疾病一样,人类乳腺癌的基因分析引发了几个问题,包括抽样策略、基因异质性和基因 - 环境相互作用。在统一混合模型下,对200个丹麦乳腺癌家系进行了重新分析,以更具体地研究这三个问题。我们发现,使用不同的抽样方案会得出相似的结论:在整个丹麦样本中,乳腺癌的家族性传播不能用显性基因的孟德尔分离来解释。基于样本的先验细分进行的同质性检验,在给定的遗传模型下均无统计学意义。然而,有可能分离出仅显示乳腺癌的特定家系亚组,这与显性基因的分离是相符的。我们还表明,根据流行病学因素正确设定易感性指标对于在混合模型下检测主要效应至关重要。我们的结果强调,需要设计包含先证者和家庭成员各种类型信息的家族研究,以便在理解复杂疾病方面取得一些进展。