Valeri A, Briollais L, Azzouzi R, Fournier G, Mangin P, Berthon P, Cussenot O, Demenais F
Centre de Recherche pour les Pathologies Prostatiques (CeRePP), UPRES EA3104 Université Paris VII, 45 rue des Saint-Pères 75006 Paris, France.
Ann Hum Genet. 2003 Mar;67(Pt 2):125-37. doi: 10.1046/j.1469-1809.2003.00022.x.
Four segregation analyses concerning prostate cancer (CaP), three conducted in the United States and one in Northern Europe, have shown evidence for a dominant major gene but with different parameter estimates. A recent segregation analysis of Australian pedigrees has found a better fit of a two-locus model than single-locus models. This model included a dominantly inherited increased risk that was greater at younger ages and a recessively inherited or X-linked increased risk that was greater at older ages. Recent linkage analyses have led to the detection of at least 8 CaP predisposing genes, suggesting a complex inheritance and genetic heterogeneity. To assess the nature of familial aggregation of prostate cancer in France, segregation analysis was conducted in 691 families ascertained through 691 CaP patients, recruited from three French hospitals and unselected with respect to age at diagnosis, clinical stage or family history. This mode of family inclusion, without any particular selection of the probands, is unique, as probands from all previous analyses were selected according to various criteria. Segregation analysis was carried out using the logistic hazard regressive model, as incorporated in the REGRESS program, which can accommodate a major gene effect, residual familial dependences of any origin (genetic and/or environmental), and covariates, while including survival analysis concepts. Segregation analysis showed evidence for the segregation of an autosomal dominant gene (allele frequency of 0.03%) with an additional brother-brother dependence. The estimated cumulative risks of prostate cancer by age 85 years, among subjects with the at-risk genotype, were 86% in the fathers' generation and 99% in the probands' generation. This study supports the model of Mendelian transmission of a rare autosomal dominant gene with high penetrance, and demonstrates that additional genetic and/or common sibling environmental factors are involved to account for the familial clustering of CaP.
四项关于前列腺癌(CaP)的分离分析,其中三项在美国进行,一项在北欧进行,均显示存在一个显性主基因的证据,但参数估计有所不同。最近对澳大利亚家系的分离分析发现,双基因座模型比单基因座模型更合适。该模型包括一种显性遗传的、在年轻时风险更高的增加风险,以及一种隐性遗传或X连锁的、在老年时风险更高的增加风险。最近的连锁分析已导致至少检测到8个CaP易感基因,这表明存在复杂的遗传和遗传异质性。为了评估法国前列腺癌家族聚集的性质,我们对从法国三家医院招募的691例CaP患者所确定的691个家系进行了分离分析,这些患者在诊断年龄、临床分期或家族史方面未作选择。这种纳入家系的方式,即不对先证者进行任何特殊选择,是独一无二的,因为之前所有分析中的先证者都是根据各种标准选择的。使用REGRESS程序中包含的逻辑风险回归模型进行分离分析,该模型可以考虑主基因效应、任何来源(遗传和/或环境)的残余家族依赖性以及协变量,同时纳入生存分析概念。分离分析显示存在一个常染色体显性基因(等位基因频率为0.03%)分离的证据,且存在额外的兄弟间依赖性。在有风险基因型的受试者中,到85岁时前列腺癌的估计累积风险在父亲一代中为86%,在先证者一代中为99%。本研究支持一种具有高外显率的罕见常染色体显性基因的孟德尔遗传模式,并表明还涉及其他遗传和/或同胞共同环境因素来解释CaP的家族聚集现象。