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利用单倍型共享的衰减和逐步突变模型,对大小可变的群体进行连锁不平衡作图。

Linkage disequilibrium mapping in populations of variable size using the decay of haplotype sharing and a stepwise-mutation model.

作者信息

Zhang S, Zhao H

机构信息

Department of Epidemiology and Public Health, Yale University School of Medicine, New Haven, Connecticut 06520, USA.

出版信息

Genet Epidemiol. 2000;19 Suppl 1:S99-105. doi: 10.1002/1098-2272(2000)19:1+<::AID-GEPI15>3.0.CO;2-1.

Abstract

Linkage-disequilibrium (LD) mapping is a powerful tool for fine-mapping disease genes. Recently, McPeek and Strahs [(1999) Am J Hum Genet 65:858-875] proposed a multilocus model for LD mapping based on the decay of haplotype sharing. Here we extend their approach in two ways. First, instead of assuming each marker allele has an equal chance to mutate to one of the other marker alleles, we use the stepwise-mutation model to describe the mutation process for microsatellite markers. Second, in addition to the independence model and the constant population size model they considered, we model the dependence among observed haplotypes due to population structure by using a general conditional-coalescent model with variable population size. Through simulation studies, we study the effects of the stepwise-mutation model and variable population size on the estimates of disease gene location, mutation rate, and time to the most recent common ancestor of the sampled haplotypes. We then use this method to analyze progressive myoclonus epilepsy data.

摘要

连锁不平衡(LD)定位是精细定位疾病基因的一种强大工具。最近,麦克皮克和斯特拉斯[(1999年)《美国人类遗传学杂志》65:858 - 875]基于单倍型共享的衰减提出了一种用于LD定位的多位点模型。在此,我们从两个方面扩展了他们的方法。首先,我们不假设每个标记等位基因向其他标记等位基因之一突变的机会均等,而是使用逐步突变模型来描述微卫星标记的突变过程。其次,除了他们所考虑的独立模型和恒定群体大小模型外,我们通过使用具有可变群体大小的一般条件合并模型来对由于群体结构导致的观察到的单倍型之间的依赖性进行建模。通过模拟研究,我们研究了逐步突变模型和可变群体大小对疾病基因位置估计、突变率以及采样单倍型最近共同祖先时间估计的影响。然后我们使用这种方法来分析进行性肌阵挛癫痫数据。

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