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利用前瞻性家庭关联研究中的一般系谱检测印记和子宫内母体效应的似然方法。

Likelihood approach for detecting imprinting and in utero maternal effects using general pedigrees from prospective family-based association studies.

作者信息

Yang Jingyuan, Lin Shili

机构信息

Department of Statistics, The Ohio State University, 404 Cockins Hall, 1958 Neil Avenue, Columbus, Ohio 43210, USA.

出版信息

Biometrics. 2012 Jun;68(2):477-85. doi: 10.1111/j.1541-0420.2011.01695.x. Epub 2011 Oct 18.

DOI:10.1111/j.1541-0420.2011.01695.x
PMID:22008205
Abstract

Genetic imprinting and in utero maternal effects are causes of parent-of-origin effect but they are confounded with each other. Tests attempting to detect only one of these effects would have a severely inflated type I error rate if the assumption of the absence of the other effect is violated. Some existing methods avoid the potential confounding by modeling imprinting and in utero maternal effect simultaneously. However, these methods are not amendable to extended families, which are commonly recruited in family-based studies. In this article, we propose a likelihood approach for detecting imprinting and maternal effects (LIME) using general pedigrees from prospective family-based association studies. LIME formulates the probability of familial genotypes without the Hardy-Weinberg equilibrium assumption by introducing a novel concept called conditional mating type between marry-in founders and their nonfounder spouses. Further, a logit link is used to model the penetrance. To deal with the issue of incomplete pedigree genotypic data, LIME imputes the unobserved genotypes implicitly by considering all compatible ones conditional on the observed genotypes. We carried out a simulation study to evaluate the relative power and type I error of LIME and two existing methods. The results show that the use of extended pedigree data, even with incomplete information, can achieve much greater power than using nuclear families for detecting imprinting and in utero maternal effects without leading to inflated type I error rates.

摘要

基因印记和子宫内母体效应是亲本来源效应的成因,但它们相互混淆。如果违背了不存在另一种效应的假设,试图仅检测其中一种效应的检验会有严重虚高的I型错误率。一些现有方法通过同时对印记和子宫内母体效应进行建模来避免潜在的混淆。然而,这些方法不适用于扩展家系,而扩展家系在基于家系的研究中通常会被招募。在本文中,我们提出了一种使用前瞻性基于家系的关联研究中的一般系谱来检测印记和母体效应的似然方法(LIME)。LIME通过引入一个称为嫁入创始人与其非创始人配偶之间的条件交配类型的新概念,在没有哈迪-温伯格平衡假设的情况下制定家族基因型的概率。此外,使用逻辑链接来对 penetrance 进行建模。为了处理不完全系谱基因型数据的问题,LIME通过考虑所有基于观察到的基因型的兼容基因型来隐式地推断未观察到的基因型。我们进行了一项模拟研究,以评估LIME和两种现有方法的相对功效和I型错误。结果表明,使用扩展系谱数据,即使信息不完整,在检测印记和子宫内母体效应时也能比使用核心家系获得更高的功效,且不会导致I型错误率虚高。

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