A SIMPLE REGRESSION METHOD FOR MAPPING QUANTITATIVE TRAIT LOCI IN LINE CROSSES USING FLANKING MARKERS
A SIMPLE REGRESSION METHOD FOR MAPPING QUANTITATIVE TRAIT LOCI IN LINE CROSSES USING FLANKING MARKERS
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DOI：
10.1038/hdy.1992.131
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发表时间：
1992-10-01
期刊：
影响因子：
3.8
通讯作者：
KNOTT, SA
中科院分区：
文献类型：
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作者：
HALEY, CS;KNOTT, SA
侧翼标记法是自交系间杂交分离代数量性状位点定位的有力工具。基于最大似然分析这些数据的方法已经开发出来，并提供了在某些情况下QTL效应的良好估计。然而，最大似然方法相对复杂，并且计算速度较慢。在本文中，我们开发了基于多元回归的QTL映射方法，该方法可以应用于任何一般的统计软件包。我们以F2群体中的映射为例，表明这些回归方法产生的结果与使用最大似然法获得的结果非常相似。回归方法的相对简单性意味着可以探索具有多个QTL的模型，我们给出了两个连锁位点和两个相互作用位点的例子。其他模型，例如两个以上的QTL，具有环境固定效应，具有家族间方差或阈值性状，可以用类似的方式进行拟合。分析侧翼标记的回归方法简单易行、应用速度快、通用性好，估计结果好，为近交系QTL定位数据的分析提供了一种选择方法
The use of flanking marker methods has proved to be a powerful tool for the mapping of quantitative trait loci (QTL) in the segregating generations derived from crosses between inbred lines. Methods to analyse these data, based on maximum-likelihood, have been developed and provide good estimates of QTL effects in some situations. Maximum-likelihood methods are, however, relatively complex and can be computationally slow. In this paper we develop methods for mapping QTL based on multiple regression which can be applied using any general statistical package. We use the example of mapping in an F2 population and show that these regression methods produce very similar results to those obtained using maximum likelihood. The relative simplicity of the regression methods means that models with more than a single QTL can be explored and we give examples of two linked loci and of two interacting loci. Other models, for example with more than two QTL, with environmental fixed effects, with between family variance or for threshold traits, could be fitted in a similar way. The ease, speed of application and generality of regression methods for flanking marker analyses, and the good estimates they obtain, suggest that they should provide the method of choice for the analysis of QTL mapping data from inbred line