在动物群体中混合主基因-多基因遗传模型的推断中 Gibbs 抽样的应用。

Application of Gibbs sampling for inference in a mixed major gene-polygenic inheritance model in animal populations.

机构信息

Department of Animal Breeding, Wageningen Agricultural University, PO Box 338, 6700, AH Wageningen, The Netherlands.

出版信息

Theor Appl Genet. 1995 Nov;91(6-7):1137-47. doi: 10.1007/BF00223932.

Abstract

The application of Gibbs sampling is considered for inference in a mixed inheritance model in animal populations. Implementation of the Gibbs sampler on scalar components, as used for human populations, appeared not to be efficient, and an approach with blockwise sampling of genotypes was proposed for use in animal populations. The blockwise sampling of genotypes was proposed for use in animal populations. The blockwise sampling by which genotypes of a sire and its final progeny were sampled jointly was effective in improving mixing, although further improvements could be looked for. Posterior densities of parameters were visualised from Gibbs samples; from the former highly marginalised Bayesian point and interval estimates can be obtained.

摘要

在动物群体的混合遗传模型中，考虑应用吉布斯抽样进行推断。在人类群体中使用的针对标量分量的吉布斯抽样器的实现似乎效率不高，因此提出了一种针对动物群体的基于分组抽样基因型的方法。针对动物群体的分组抽样基因型的方法。通过联合抽样父本及其最终后代的基因型进行分组抽样的方法，有效地改善了混合，尽管可以进一步改进。从吉布斯抽样中直观地显示出参数的后验密度；从前一个高度边缘化的贝叶斯点估计和区间估计可以得到。