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Title: Combining two markov chain monte carlo approaches for linkage and association studies with a complex pedigree and multi marker loci
Contributor(s): Lee, Sang Hong (author); Van Der Werf, Julius Herman (author)orcid ; Tier, Bruce (author)
Publication Date: 2005
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Abstract: In QTL mapping using linkage and/or linkage disequilibrium, an important process is to find the pattern of inheritance states and haplotype configurations, a process known as haplotype reconstruction. Haplotype reconstruction is routinely based upon observed pedigree information and marker genotypes for individuals in the pedigree. It is not feasible for the exact methods to use all such information for large complex pedigree especially when there are many missing genotypes. Markov Chain Monte Carlo (MCMC) approaches have been widely used to handle a complex pedigree with sparse genotypic data. However they often have reducibility problems or are slow to converge. Combining two different MCMC approaches results in improvement of computational speed and mixing properties. It allows obtaining reliable estimates such as identity by descent coefficients between individuals within a reasonable time.
Publication Type: Conference Publication
Conference Name: 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, Noosa Lakes, Australia, 25th - 28th September, 2005
Source of Publication: Application of new genetic technologies to animal breeding: Proceedings of the 16th Conference of the Association for the Advancement of Animal Breeding and Genetics, p. 107-110
Publisher: CSIRO Publishing
Place of Publication: Collingwood, Australia
ISSN: 1328-3227
Field of Research (FOR): 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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School of Environmental and Rural Science

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