Practice of Epidemiology Detection of Parent-of-Origin Effects for Quantitative Traits in Complete and Incomplete Nuclear Families With Multiple Children
Practice of Epidemiology Detection of Parent-of-Origin Effects for Quantitative Traits in Complete and Incomplete Nuclear Families With Multiple Children
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发表时间：
2011
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通讯作者：
Feng He;Ji-Yuan Zhou;Yue-Qing Hu;F. Sun;Jingyuan Yang;Shili Lin;andWing-Kam Fung
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作者：
Feng He;Ji-Yuan Zhou;Yue-Qing Hu;F. Sun;Jingyuan Yang;Shili Lin;andWing-Kam Fung
对于双等位基因标记位点，诸如亲本不对称测试 (PAT) 之类的测试对于检测亲本效应来说既简单又有效。然而，这些方法仅适用于质量性状，因此目前不适用于数量性状。在本文中，作者提出了一类新型 PAT 型亲本效应检验，用于检测有父母和任意数量子女的家庭的数量性状，对于某个常数 c，用 Q-PAT(c) 表示。作者进一步开发了 Q-1-PAT(c)，用于在每个家庭中只有 1 位父母的信息可用时检测原籍父母的影响。作者建议使用 Q-C-PAT(c) 检验将具有双亲基因型数据的家庭和仅具有 1 个双亲基因型数据的家庭组合起来。模拟研究表明，所提出的检验在没有母源效应的零假设下很好地控制了经验类型 I 错误率。功效比较还表明，所提出的方法比现有的似然比检验更强大。尽管在研究数量性状的方法中通常假设正态性，但本文提出的检验并未对数量性状的分布做出任何假设。
For a diallelic genetic marker locus, tests like the parental-asymmetry test (PAT) are simple and powerful for detecting parent-of-origin effects. However, these approaches are applicable only to qualitative traits and thus are currently not suitable for quantitative traits. In this paper, the authors propose a novel class of PAT-type parent-oforigin effects tests for quantitative traits in families with both parents and an arbitrary number of children, which is denoted by Q-PAT(c) for some constant c. The authors further develop Q-1-PAT(c) for detection of parent-of-origin effects when information is available on only 1 parent in each family. The authors suggest the Q-C-PAT(c) test for combining families with data on both parental genotypes and families with data on only 1 parental genotype. Simulation studies show that the proposed tests control the empirical type I error rates well under the null hypothesis of no parent-of-origin effects. Power comparison also demonstrates that the proposed methods are more powerful than the existing likelihood ratio test. Although normality is commonly assumed in methods for studying quantitative traits, the tests proposed in this paper do not make any assumption about the distribution of the quantitative trait.