Zheng G, Ghosh K, Chen Z, Li Z
Office of Biostatistics Research, National Heart, Lung and Blood Institute, 6701 Rockledge Drive, Bethesda, MD 20892, USA.
Ann Hum Genet. 2006 Nov;70(Pt 6):857-66. doi: 10.1111/j.1469-1809.2006.00268.x.
It is well known that linkage analysis using simple random sib-pairs has relatively low power for detecting quantitative trait loci with small genetic effects. The power can be substantially increased by using samples selected based on their trait values. Usually, samples that are obtained by truncation selection consist of random samples from a truncated trait distribution. In this article we propose an alternative method using extreme ranks for linkage analysis with selected sib-pairs. This approach approximates the truncation selection. With similar screening sizes and the same sample size of selected sib-pairs, the extreme rank selection and truncation method have similar power performance, both of which are substantially more powerful than when using random sib-pairs. Simulation results on the comparison of powers between the truncation selection and the extreme rank selection and/or random selection for linkage analysis are reported.
众所周知，使用简单随机同胞对进行连锁分析来检测具有小遗传效应的数量性状位点时，功效相对较低。通过使用基于性状值选择的样本，功效可大幅提高。通常，通过截断选择获得的样本由截断性状分布的随机样本组成。在本文中，我们提出了一种使用极端秩次对选定同胞对进行连锁分析的替代方法。这种方法近似于截断选择。在筛选大小相似且选定同胞对样本量相同的情况下，极端秩次选择和截断方法具有相似的功效表现，两者都比使用随机同胞对时强大得多。报告了关于截断选择与极端秩次选择和/或随机选择用于连锁分析的功效比较的模拟结果。
