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一种用于联合分离分析和连锁分析的蒙特卡罗方法。

A Monte Carlo method for combined segregation and linkage analysis.

作者信息

Guo S W, Thompson E A

机构信息

Department of Biostatistics, University of Michigan, Ann Arbor.

出版信息

Am J Hum Genet. 1992 Nov;51(5):1111-26.

PMID:1415253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1682838/
Abstract

We introduce a Monte Carlo approach to combined segregation and linkage analysis of a quantitative trait observed in an extended pedigree. In conjunction with the Monte Carlo method of likelihood-ratio evaluation proposed by Thompson and Guo, the method provides for estimation and hypothesis testing. The greatest attraction of this approach is its ability to handle complex genetic models and large pedigrees. Two examples illustrate the practicality of the method. One is of simulated data on a large pedigree; the other is a reanalysis of published data previously analyzed by other methods.

摘要

我们介绍一种用于扩展家系中观察到的数量性状的联合分离分析和连锁分析的蒙特卡罗方法。结合汤普森和郭提出的似然比评估的蒙特卡罗方法,该方法可进行估计和假设检验。这种方法最大的吸引力在于其处理复杂遗传模型和大型家系的能力。两个例子说明了该方法的实用性。一个是关于大型家系的模拟数据;另一个是对先前用其他方法分析过的已发表数据的重新分析。

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