Please use this identifier to cite or link to this item: https://une.intersearch.com.au/unejspui/handle/1959.11/3080
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)orcid 
Publication Date: 2008
DOI: 10.1186/1297-9686-40-3-265
10.1051/gse:2008002
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
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Appears in Collections:Journal Article
School of Environmental and Rural Science

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