Shete Sanjay, Elston Robert C, Lu Yue
Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
Ann Hum Genet. 2007 Nov;71(Pt 6):804-14. doi: 10.1111/j.1469-1809.2007.00378.x. Epub 2007 Jun 18.
The parent-of-origin phenomenon in humans is now well recognized, and the deregulation of imprinted genes has been implicated in a number of human diseases. Recently, several linkage analysis methods have been developed to allow for parent-of-origin effects in the analysis of pedigree data. However, in general, one does not know a priori if disease-causing loci are imprinted or not. Linkage methods that allow for imprinting can lose power if there is no imprinting. Conversely, linkage methods that do not allow for imprinting will lose power if there is imprinting, because of penetrance values not being correctly specified. Therefore, it is important to know whether imprinting is a possible mode of disease inheritance before performing linkage analyses. In this paper we describe a simple covariate-coding scheme to test for the presence of parent-of-origin effects, and provide a formula for calculating parent-specific penetrance values prior to any linkage analysis. In simulation studies our coding scheme successfully detected parent-of-origin effects and, when pedigrees were ascertained sequentially or through a single proband, inclusion of this covariate more accurately estimated penetrance values than when such a covariate was not included. The use of accurate penetrance values in a linkage analysis that allows for imprinting can provide higher power when the disease locus is imprinted. Finally, we applied our approach to 27 pedigrees affected with Beckwith-Wiedemann syndrome (BWS), an overgrowth syndrome, and found that a maternally expressed parent-of-origin model based on the likelihood ratio test was the most parsimonious, suggesting a role for paternally imprinted genes in BWS.
人类中的亲本来源现象现已得到充分认识,印记基因的失调与多种人类疾病有关。最近,已经开发了几种连锁分析方法,以便在系谱数据分析中考虑亲本来源效应。然而,一般来说,事先并不知道致病基因座是否是印记的。如果不存在印记,允许印记的连锁分析方法可能会失去效力。相反,如果存在印记,不允许印记的连锁分析方法将会失去效力,因为外显率值没有被正确设定。因此,在进行连锁分析之前,了解印记是否是疾病遗传的一种可能模式很重要。在本文中,我们描述了一种简单的协变量编码方案来检验亲本来源效应的存在,并提供了一个在任何连锁分析之前计算亲本特异性外显率值的公式。在模拟研究中,我们的编码方案成功地检测到了亲本来源效应,并且当系谱是顺序确定的或通过单个先证者确定时,与不包含这种协变量相比,包含该协变量能更准确地估计外显率值。在允许印记的连锁分析中使用准确的外显率值,当疾病基因座是印记的时候可以提供更高的效力。最后,我们将我们的方法应用于27个患有贝克威思-维德曼综合征(BWS)的系谱,这是一种过度生长综合征,发现基于似然比检验的母源表达亲本来源模型是最简约的,这表明父源印记基因在BWS中起作用。