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A powerful approach for association analysis incorporating imprinting effects

机译:结合刻印效果的强大关联分析方法

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Motivation: For a diallelic marker locus, the transmission disequilibrium test (TDT) is a simple and powerful design for genetic studies. The TDT was originally proposed for use in families with both parents available (complete nuclear families) and has further been extended to 1-TDT for use in families with only one of the parents available (incomplete nuclear families). Currently, the increasing interest of the influence of parental imprinting on heritability indicates the importance of incorporating imprinting effects into the mapping of association variants.Results: In this article, we extend the TDT-type statistics to incorporate imprinting effects and develop a series of new test statistics in a general two-stage framework for association studies. Our test statistics enjoy the nature of family-based designs that need no assumption of Hardy-Weinberg equilibrium. Also, the proposed methods accommodate complete and incomplete nuclear families with one or more affected children. In the simulation study, we verify the validity of the proposed test statistics under various scenarios, and compare the powers of the proposed statistics with some existing test statistics. It is shown that our methods greatly improve the power for detecting association in the presence of imprinting effects. We further demonstrate the advantage of our methods by the application of the proposed test statistics to a rheumatoid arthritis dataset.Contact: wingfung@hku.hkSupplementary information: http://bioinformatics.oxfordjournals.org/cgi/content/full/btr443/DC1 are available at Bioinformatics online.
机译:动机:对于一个拨号标记基因座,传递不平衡测试(TDT)是用于遗传研究的一种简单而有效的设计。 TDT最初被提议用于有双亲的家庭(完整的核家庭),并进一步扩展到1-TDT以用于只有一个父母的家庭(不完整的核家庭)。当前,父母对印迹的影响力对遗传力的兴趣日益浓厚,表明将印迹效应纳入关联变量映射的重要性。结果:在本文中,我们扩展了TDT类型的统计数据以整合印迹效应,并开发了一系列新方法。在一般的两阶段关联研究框架中测试统计数据。我们的测试统计数据具有无需假设Hardy-Weinberg平衡就可以基于家庭设计的本质。此外,建议的方法可容纳一个或多个受影响儿童的完整和不完整的核心家庭。在仿真研究中,我们验证了所提出的测试统计数据在各种情况下的有效性,并将所提出的统计数据的功效与一些现有的测试统计数据进行比较。结果表明,我们的方法大大提高了在存在印迹效应的情况下检测关联的能力。通过将拟议的测试统计数据应用于类风湿关节炎数据集,我们进一步证明了我们方法的优势。联系人:wingfung@hku.hk补充信息:http://bioinformatics.oxfordjournals.org/cgi/content/full/btr443/DC1可在生物信息学在线获得。

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