Improved techniques for sampling complex pedigrees with the Gibbs sampler

Autor: Fernando Rohan L, Totir Liviu R, Abraham K Joseph
Jazyk: German<br />English<br />French
Rok vydání: 2007
Předmět:
Zdroj: Genetics Selection Evolution, Vol 39, Iss 1, Pp 27-38 (2007)
Druh dokumentu: article
ISSN: 1297-9686
0999-193X
DOI: 10.1186/1297-9686-39-1-27
Popis: Abstract Markov chain Monte Carlo (MCMC) methods have been widely used to overcome computational problems in linkage and segregation analyses. Many variants of this approach exist and are practiced; among the most popular is the Gibbs sampler. The Gibbs sampler is simple to implement but has (in its simplest form) mixing and reducibility problems; furthermore in order to initiate a Gibbs sampling chain we need a starting genotypic or allelic configuration which is consistent with the marker data in the pedigree and which has suitable weight in the joint distribution. We outline a procedure for finding such a configuration in pedigrees which have too many loci to allow for exact peeling. We also explain how this technique could be used to implement a blocking Gibbs sampler.
Databáze: Directory of Open Access Journals
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