Wang K, Huang J
Division of Statistical Genetics, Department of Biostatistics, University of Iowa, Iowa City, IA 52242, USA.
Am J Hum Genet. 2002 Feb;70(2):412-24. doi: 10.1086/338659. Epub 2001 Dec 27.
The Haseman-Elston method is widely used for the mapping of quantitative-trait loci. However, this method does not use all the information in the data, because it only considers the sib-pair trait-value difference. In addition, the Haseman-Elston method was developed for independent sib pairs; its generalization to nonindependent sib pairs is not straightforward. Here we introduce a score test statistic derived from a normal likelihood based on multiplex sibship data, conditional on identical-by-descent sharing statuses. This score test is asymptotically equivalent to the corresponding likelihood-ratio test, but it is much easier to implement. Because the proposed test uses all of the trait values, it makes more efficient use of the data than does the Haseman-Elston method. The proposed test is naturally applicable to sibships of arbitrary size. The finite-sample properties of the proposed score statistic are evaluated via simulations.
哈斯曼 - 埃尔斯顿方法被广泛用于数量性状位点的定位。然而,该方法并未利用数据中的所有信息,因为它仅考虑同胞对性状值的差异。此外,哈斯曼 - 埃尔斯顿方法是针对独立同胞对开发的;将其推广到非独立同胞对并非易事。在此,我们引入一种基于多重同胞关系数据、在同宗同源共享状态条件下从正态似然性导出的得分检验统计量。此得分检验在渐近意义上等同于相应的似然比检验,但实施起来要容易得多。由于所提出的检验使用了所有性状值,所以它比哈斯曼 - 埃尔斯顿方法能更有效地利用数据。所提出的检验自然适用于任意大小的同胞关系。通过模拟评估了所提出得分统计量的有限样本性质。