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|Title:||Fine mapping of multiple QTL using a reversible jump MCMC||Contributor(s):||Lee, Sang Hong (author); Van Der Werf, Julius Herman (author)||Publication Date:||2006||Handle Link:||https://hdl.handle.net/1959.11/9777||Abstract:||There may be multiple QTL underlying phenotypes of a trait within a small region. The effects of closely linked QTL can be easily confounded which may negatively affect precision and accuracy of mapping of each QTL. Multiple QTL in such a small region may be considered as a single QTL, therefore the confidence interval covers all of the region. This makes fine mapping of each QTL impossible. The question is how easy multiple QTL within a small region can be accurately mapped. In this paper, we propose the use of a reversible jump MCMC (Green, 1995) in a variance component approach using combined LD and linkage (LDL) information to simultaneously map multiple QTL in a small region. The use of population wide LD can give critical information about different identity by descent (IBD) probabilities in different chromosome segments. The aim of this study is to investigate the efficiency of simultaneous mapping of multiple closely linked QTL with a proper model selection approach such as a reversible jump MCMC.||Publication Type:||Conference Publication||Conference Name:||8th World Congress on Genetics Applied to Livestock Production (WCGALP), Belo Horizonte, Brazil, 13th - 18th August, 2006||Conference Details:||8th World Congress on Genetics Applied to Livestock Production (WCGALP), Belo Horizonte, Brazil, 13th - 18th August, 2006||Source of Publication:||Proceedings of the 8th World Congress on Genetics Applied to Livestock Production||Publisher:||SBMA: Sociedade Brasileira de Melhoramento Animal [Brazilian Society of Animal Breeding]||Place of Publication:||Brazil||Field of Research (FOR):||060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)||Peer Reviewed:||Yes||HERDC Category Description:||E1 Refereed Scholarly Conference Publication||Other Links:||http://www.cabdirect.org/abstracts/20063169999.html||Statistics to Oct 2018:||Visitors: 147
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School of Environmental and Rural Science
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