Efficiency of triple test cross for detecting epistasis with marker information
Efficiency of triple test cross for detecting epistasis with marker information
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使用标记信息检测上位性的三重测试杂交的效率
DOI：
10.1038/sj.hdy.6800956
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发表时间：
2007-03
期刊：
影响因子：
3.8
通讯作者：
Zhang, R.
中科院分区：
文献类型：
--
作者：
Zhu, C.;Zhang, R.
三重测试杂交 (TTC) 是一种用于检测上位性并估计数量性状遗传方差分量的实验设计。在本文中，我们将分析扩展到包括分子信息。交配设计的统计功效是在假设有限数量的基因座影响相关性状的模型下进行评估的。开发了公式，用于在有或没有标记信息的情况下进行分析，所述标记信息涉及基因座之间的重组分数、由数量性状基因座（QTL）控制的数量性状的遗传特性、亲本的连锁阶段和群体大小。这些公式的应用表明，基因之间的重组分数以及上位性的大小和类型在对功率的影响中具有重要的相互作用。结果表明，当存在标记信息时，TTC 检测上位性的能力可能会增强。然而，模拟实验表明，有一个标记的估计期望均方的标准差高于有两个标记的估计期望均方的标准差，而没有标记信息的相应值最低。此外，我们证明QTL和标记的相对位置以及标记的数量都会影响上位检测的能力。
The triple test cross (TTC) is an experimental design for detecting epistasis and estimating the components of genetic variance for quantitative traits. In this paper, we extend the analysis to include molecular information. The statistical power of the mating design was assessed under a model assuming that a finite number of loci affect the trait in question. Formulae are developed for the analysis with or without marker information relating to the recombination fraction between loci, the genetical properties of quantitative trait controlled by the quantitative trait loci (QTL), the linkage phases of the parents and population size. Application of these formulae showed that the recombination fraction between genes and the magnitude and the types of epistasis have important interactions in their effects on power. The results demonstrate that the TTC may have increased power to detect epistasis when marker information is present. However, the simulation experiments show that the standard deviation of the estimated expected mean square was higher with one marker than that with two, whereas the corresponding value without marker information was the lowest. In addition, we demonstrate that the relative position of QTL and markers and the number of markers can both affect the power of epistatic detection.
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