Power to detect linkage in genomic screens using moving average test statistics

当使用连锁分析进行基因组分析时 筛选复杂的性状，区域可以确定在哪里 两点连锁分析产生适度的p值， 单独而言，不会被认为是暗示存在联系。 一种方法是组合来自相关集群的信息 标记进入？地区性？联动试验。两个元素的性质 在一年多的时间里调查了区域连锁检验统计量的类别 遗传力的范围和不同的标记集。头等舱 包括来自多组连续标记的最小t值， 其次是t统计量的移动平均值。初步结果， 根据一张10厘米的地图，建议最小-T的功率 需要连续两次t检验才能达到显著水平的统计数据是 在两分测试中有所增加。观察到较大的收益 2至5个连续t检验值的移动平均值。在中国的收益 遗传力的检测连锁能力在5%到20%之间 在30%到60%之间。一种新的模拟即席测试程序 对等级检验也作了考虑，其统计性质为 正在进一步调查中。

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? tests of linkage. The properties of two classes of regional linkage test statistics were investigated over a range of heritabilities and different marker sets. The first class included minimum t values from sets of consecutive markers, the second included moving averages of the t-statistics. Initial results, based on a 10 cM map, suggest that the power for the min-t statistic, requiring that two consecutive t-tests be significant, was increased over two- point tests. Larger gains were observed for moving averages of 2 to 5 consecutive t-test values. The gains in power to detect linkage ranged between 5 and 20% for heritabilities between 30% and 60%. A novel ad hoc test proceedure analagous to a rank test was also considered, and its statistical properties are being investigated further.