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|Title:||Simultaneous fine mapping of closely linked epistatic quantitative trait loci using combined linkage disequilibrium and linkage with a general pedigree||Contributor(s):||Lee, Sang Hong (author); Van Der Werf, Julius Herman (author)||Publication Date:||2008||DOI:||10.1186/1297-9686-40-3-265
|Handle Link:||https://hdl.handle.net/1959.11/3080||Abstract:||Causal mutations and their intra- and inter-locus interactions play a critical role in complex trait variation. It is often not easy to detect epistatic quantitative trait loci (QTL) due to complicated population structure requirements for detecting epistatic effects in linkage analysis studies and due to main effects often being hidden by interaction effects. Mapping their positions is even harder when they are closely linked. The data structure requirement may be overcome when information on linkage disequilibrium is used. We present an approach using a mixed linear model nested in an empirical Bayesian approach, which simultaneously takes into account additive, dominance and epistatic effects due to multiple QTL. The covariance structure used in the mixed linear model is based on combined linkage disequilibrium and linkage information. In a simulation study where there are complex epistatic interactions between QTL, it is possible to simultaneously map interacting QTL into a small region using the proposed approach. The estimated variance components are accurate and less biased with the proposed approach compared with traditional models.||Publication Type:||Journal Article||Source of Publication:||Genetics Selection Evolution, 40(3), p. 265-278||Publisher:||BioMed Central Ltd||Place of Publication:||London, UK||ISSN:||0999-193X||Field of Research (FOR):||060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics)||Peer Reviewed:||Yes||HERDC Category Description:||C1 Refereed Article in a Scholarly Journal||Statistics to Oct 2018:||Visitors: 115
|Appears in Collections:||Journal Article|
School of Environmental and Rural Science
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