Equivalence between Haseman-Elston and variance-components linkage analyses for sib pairs
Equivalence between Haseman-Elston and variance-components linkage analyses for sib pairs
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DOI：
10.1086/320593
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发表时间：
2001-06-01
影响因子：
9.8
通讯作者：
Purcell, S
中科院分区：
文献类型：
--
作者：
Sham, PC;Purcell, S
Haseman-Elston回归方法为数量性状的连锁分析提供了一个比方差成分(VC)模型更简单的选择。然而，即使是使用同胞性状值的叉积--而不是平方差--的“重访”方法，总体上也不如风险投资模型有效。在这份报告中，我们阐明了现有Haseman-Elston方法的相对效率，并展示了如何构造一种新的Haseman-Elston方法，使其具有与VC模型相同的功率。该方法使用平方和和平方差的线性组合作为因变量，其中权重由群体中同胞之间的总体性状相关性确定。我们展示了这种方法如何用于选择用于基因分型的最大信息量的同胞对以及随后对所选样本的分析。
The Haseman-Elston regression method offers a simpler alternative to variance-components (VC) models, for the linkage analysis of quantitative traits. However, even the "revisited" method, which uses the cross-product-rather than the squared difference-in sib trait values, is, in general, less powerful than VC models. In this report, we clarify the relative efficiencies of existing Haseman-Elston methods and show how a new Haseman-Elston method can be constructed to have power equivalent to that of VC models. This method uses as the dependent variable a linear combination of squared sums and squared differences, in which the weights are determined by the overall trait correlation between sibs in a population. We show how this method can be used for both the selection of maximally informative sib pairs for genotyping and the subsequent analysis of such selected samples.