Power to detect linkage in genomic screens using moving

当使用连锁分析对复杂性状进行基因组筛选时，可以确定两点连锁分析产生适度p值的区域，这些p值单独考虑不会被认为是连锁的暗示。一种方法是将来自相关标记簇的信息组合到区域链接测试中。在本研究中，基于Haseman-Elston兄弟姐妹对检验的t统计量，研究了两类区域连锁检验统计量在不同遗传力和不同标记集上的特性。基于模拟10厘米地图的初步结果表明，两个连续标记的移动平均功率大于单个两点测试。对于连续3到5次t检验的移动平均线，观察到更大的功率增益。在这些模拟中，对备选假设下p值的随机性质进行了后续研究。两份手稿正在准备中。

When using linkage analysis to perform genomic screening for complex traits, regions may be identified where two-point linkage analysis produces modest p-values that, taken individually, would not be considered to be suggestive of linkage. One approach is to combine information from correlated clusters of markers into regional linkage tests. In this study, the porperties of two classes of regional linkage test statistics, based on the t-statistics from the Haseman-Elston sib-pair test, were investigated over a range of heritabilities and different markers sets. Initial results based on a simulated 10 cM map suggest that the power for a moving average of two consecutive markers was larger than individual two-point tests. Larger gains in power were observed for moving averages of 3 to 5 consectutive t-tests. A follow-up study on the stochastic properties of the p-value under the alternative hypothesis in these simulations has been completed. Two manuscripts are in preparation.