Stepwise mutation likelihood computation by sequential importance sampling in subdivided population models

被引：33

作者：

De Iorio, M

Griffiths, RC

Leblois, R

Rousset, F

机构：

[1] Univ Oxford, Dept Stat, Oxford OX1 3TG, England

[2] Univ London Imperial Coll Sci & Technol, Dept Math, London, England

[3] Univ London Imperial Coll Sci & Technol, Dept Epidemiol & Publ Hlth, London W2 1PG, England

[4] CNRS, Lab Genet & Environm, UMR 5554, F-34095 Montpellier, France

来源：

THEORETICAL POPULATION BIOLOGY | 2005年 / 68卷 / 01期

关键词：

coalescent process; importance sampling; migration; stepwise mutation;

D O I：

10.1016/j.tpb.2005.02.001

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

An importance sampling algorithm for computing the likelihood of a sample of genes at loci under a stepwise mutation model in a subdivided population is developed. This allows maximum likelihood estimation of migration rates between subpopulations. The time to the most recent common ancestor of the sample can also be computed. The technique is illustrated by an analysis of a data set of Australian red fox populations. (c) 2005 Elsevier Inc. All rights reserved.

引用

页码：41 / 53

页数：13

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[Anonymous], HDB STAT GENETICS

[2]

[Anonymous], HDB STAT GENETICS

[3] Coalescence time for two genes from a subdivided population [J].