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Point and interval estimates of marker location in radiation hybrid mapping.

机译:辐射混合映射中标记位置的点和间隔估计。

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摘要

Radiation hybrid (RH) mapping is a powerful method for ordering loci on chromosomes and for estimating the distances between them. RH mapping is currently used to construct both framework maps, in which all markers are ordered with high confidence (e.g., 1,000:1 relative maximum likelihood), and comprehensive maps, which include markers with less-confident placement. To deal with uncertainty in the order and location of markers, marker positions may be estimated conditional on the most likely marker order, plausible intervals for nonframework markers may be indicated on a framework map, or bins of markers may be constructed. We propose a statistical method for estimating marker position that combines information from all plausible marker orders, gives a measure of uncertainty in location for each marker, and provides an alternative to the current practice of binning. Assuming that the prior distribution for the retention probabilities is uniform and that the marker loci are distributed independently and uniformly on an interval of specified length, we calculate the posterior distribution of marker position for each marker. The median or mean of this distribution provides a point estimate of marker location. An interval estimate of marker location may be constructed either by using the 100(alpha/2) and 100(1-alpha)/2 percentiles of the distribution to form a 100(1-alpha) % posterior credible interval or by calculating the shortest 100(1-alpha) % posterior credible interval. These point and interval estimates take into account ordering uncertainty and do not depend on the assumption of a particular marker order. We evaluate the performance of the estimates on the basis of results from simulated data and illustrate the method with two examples.
机译:辐射杂交(RH)映射是一种强大的方法,可用于排列染色体上的基因座并估计它们之间的距离。 RH映射目前用于构建框架图和综合图,在框架图中所有标记的排列都具有较高的置信度(例如,相对最大似然比为1,000:1),而综合图则包括置信度较低的标记。为了处理标记顺序和位置的不确定性,可以根据最可能的标记顺序估计标记位置,可以在框架图上指示非框架标记的合理区间,也可以构建标记仓。我们提出了一种估计标记位置的统计方法,该方法结合了来自所有可能的标记顺序的信息,为每个标记的位置提供了不确定性的度量,并提供了当前分箱方法的替代方法。假设保留概率的先验分布是均匀的,并且标记位点在指定长度的间隔内独立且均匀地分布,我们计算每个标记的标记位置的后验分布。该分布的中值或均值提供了标记位置的点估计。可以通过使用分布的100(alpha / 2)和100(1-alpha)/ 2百分位以形成100(1-alpha)%的后可信间隔来构建标记位置的间隔估计,或者通过计算最短的间隔后可信间隔为100(1-alpha)%。这些点和间隔估计值考虑了排序的不确定性,并且不依赖于特定标记顺序的假设。我们根据模拟数据的结果评估估计的性能,并通过两个示例说明该方法。

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