Genetic mapping of quantitative trait loci for traits with ordinal distributions
Genetic mapping of quantitative trait loci for traits with ordinal distributions
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DOI：
10.2307/2533257
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发表时间：
1995-12-01
期刊：
影响因子：
1.9
通讯作者：
Weller, JI
中科院分区：
文献类型：
--
作者：
Hackett, CA;Weller, JI
对于具有正态分布的连续性状，现在已经建立了相对于遗传标记绘制数量性状位点的统计方法。然而，许多具有经济重要性的特征都是以离散的、有序的尺度记录的。在这里，我们描述了一个为分析序数性状而开发的模型，例如产犊的难度或植物抗病性的类别。该模型估计从数量性状基因座到邻近遗传标记的距离，以及遗传参数，作为潜在连续尺度上的基因效应或作为观察类别的概率。该模型在模拟数据上进行了测试，并与基于正态分布混合的分析进行了比较。发现序数模型可以更准确地估计参数，特别是当类别数量较小或只有一个链接标记可用时。
Statistical methods for mapping quantitative trait loci relative to genetic markers are now well established for continuous traits with normal distributions. However, many traits of economic importance are recorded on a discrete, ordinal scale. Here we describe a model developed for the analysis of ordinal traits, such as degree of difficulty in calving or categories of plant disease resistance. The model estimates the distance from the quantitative trait locus to neighbouring genetic markers, and also genetic parameters, either as gene effects on an underlying continuous scale or as probabilities of the observed categories. The model is tested on simulated data and is compared with an analysis based on mixtures of normal distributions. The ordinal model is found to estimate the parameters more accurately, especially when the number of categories is small or when only one linked marker is available.