Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/4107
Title: Fine-mapping of quantitative trait loci using combined linkage disequilibrium and linkage with general pedigrees
Contributor(s): Lee, Sang Hong  (author); Van Der Werf, Julius Herman  (author)orcid 
Publication Date: 2007
Handle Link: https://hdl.handle.net/1959.11/4107
Abstract: Linkage disequilibrium (LD) information from closely linked markers has been widely used to fine-map quantitative trait loci (QTL). Steps needed for fine-mapping of QTL include inferring inheritance state of markers (haplotyping), estimating identity by descent (IBD) at QTL, and implementing the covariance structure based on IBD into a statistical model. Appropriate pedigree-genotype analysis can estimate more accurate inheritance state and haplotype configuration, which results in more accurate IBD probabilities. A variance component approach can implement covariance coefficients based on IBD probabilities in a mixed linear model to fit additive, dominance and epistasis QTL effects. We have also implemented a reversible jump Markov chain Monte Carlo (MCMC) method for multiple QTL mapping to account for confounding effects between closely linked QTL. Simulation results have shown that this method can improve the precision of mapping QTL.
Publication Type: Conference Publication
Conference Name: Association for the Advancement of Animal Breeding and Genetics 2007, Armidale, Australia, 23rd - 26th September, 2007
Conference Details: Association for the Advancement of Animal Breeding and Genetics 2007, Armidale, Australia, 23rd - 26th September, 2007
Source of Publication: Proceedings of the Association for the Advancement of Animal Breeding and Genetics, p. 376-382
Publisher: AAABG: Association for the Advancement of Animal Breeding and Genetics
Place of Publication: Armidale, NSW, Australia
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.aaabg.org/livestocklibrary/2007/lee376.pdf
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School of Environmental and Rural Science

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