首页> 外文期刊>Biometrics: Journal of the Biometric Society : An International Society Devoted to the Mathematical and Statistical Aspects of Biology >Likelihood Approach for Detecting Imprinting and In Utero Maternal Effects Using General Pedigrees from Prospective Family-Based Association Studies
【24h】

Likelihood Approach for Detecting Imprinting and In Utero Maternal Effects Using General Pedigrees from Prospective Family-Based Association Studies

机译:使用基于前瞻性家庭关联研究的一般谱系检测烙印和子宫产妇效应的可能性方法

获取原文
获取原文并翻译 | 示例
           

摘要

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.
机译:遗传印记和子宫内母体效应是起源母体效应的原因,但它们相互混淆。如果违反了不存在其他影响的假设,则试图仅检测其中一种影响的测试将严重提高I型错误率。一些现有方法通过对烙印和子宫内母体效应进行建模,避免了潜在的混淆。但是,这些方法不适用于大家庭,而大家庭通常是在家庭研究中招募的。在本文中,我们提出了一种使用基于前瞻性家庭关联研究的一般谱系来检测烙印和母体效应(LIME)的可能性方法。 LIME通过引入一个新概念,即在已婚创始人和其非创始人配偶之间引入条件交配类型,来确定没有哈迪-温伯格均衡假设的家族基因型的可能性。此外,logit链接用于对外在程度进行建模。为了处理不完整的家系基因型数据的问题,LIME通过考虑所有可兼容的基因型,以观察到的基因型为条件,隐式地估算未观察到的基因型。我们进行了仿真研究,以评估LIME的相对功效和I型误差以及两种现有方法。结果表明,即使没有完整的信息,使用扩展的血统书数据也可以比使用核家族检测印记和宫内孕产妇效应获得更大的功效,而不会导致I型错误率上升。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号