Confidence limits for regression relationships between distance matrices: Estimating gene flow with distance
Confidence limits for regression relationships between distance matrices: Estimating gene flow with distance
复制标题
DOI：
10.1198/108571102320
复制
发表时间：
2002-09-01
影响因子：
1.4
通讯作者：
Raybould, AF
中科院分区：
文献类型：
--
作者：
Clarke, RT;Rothery, P;Raybould, AF
人们对评估两个或更多个距离矩阵之间的关系越来越感兴趣，其中距离基于n个群体的所有成对组合的遗传、地理和/或环境相异度量。发展和评估了估计依赖矩阵Y和矩阵X之间回归关系的置信限和估计给定临界y的x值的方法。方法包括包含附加总体效应方差的回归混合模型和依次省略每个总体的(n-1)距离观测值的逐总体回归方法。这些方法使用数据来量化海甜菜野生植物种群之间的距离来量化基因流动的速度，并通过模拟进行评估。
There is growing interest in assessing relationships between two or more distance matrices, where distances are based on genetic, geographical, and/or environmental measures of dissimilarity for all pairwise combinations of n populations. Methods are developed and assessed for estimating confidence limits for the regression relationship between dependent matrix Y and matrix X and for estimating the value of x given critical y. Methods include a regression mixed model that incorporates an additional population effects variance and a jackknife-by-population regression method that omits the (n - 1) distance observations for each population in turn. The approaches are illustrated using data to quantify rates of gene flow with distance between wild plant populations of sea beet and are assessed using simulations.