MCMC multilocus lod scores: Application of a new approach

被引：13
作者：
George, AW
Wijsman, EM
Thompson, EA
机构：
[1] Univ Washington, Dept Stat, Seattle, WA 98195 USA
[2] Univ Iowa, Program Publ Hlth Genet, Iowa City, IA USA
[3] Univ Washington, Dept Biostat, Seattle, WA 98195 USA
[4] Univ Washington, Dept Med, Div Med Genet, Seattle, WA 98195 USA
来源：
HUMAN HEREDITY | 2005年 / 59卷 / 02期
关键词：
Alzheimer's disease; extended pedigrees; linkage analysis; Markov chain Monte Carlo; multipoint lod scores;
D O I：
10.1159/000085224
中图分类号：
Q3 [遗传学];
学科分类号：
071007 ; 090102 ;
摘要：
On extended pedigrees with extensive missing data, the calculation of multilocus likelihoods for linkage analysis is often beyond the computational bounds of exact methods. Growing interest therefore surrounds the implementation of Monte Carlo estimation methods. In this paper, we demonstrate the speed and accuracy of a new Markov chain Monte Carlo method for the estimation of linkage likelihoods through an analysis of real data from a study of early- onset Alzheimer's disease. For those data sets where comparison with exact analysis is possible, we achieved up to a 100- fold increase in speed. Our approach is implemented in the program Im _bayes within the framework of the freely available MORGAN 2.6 package for Monte Carlo genetic analysis Copyright (c) 2005 S. Karger AG, Basel.
引用
收藏
页码：98 / 108
页数：11
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