C
Chris Haley
Researcher at University of Edinburgh
Publications - 427
Citations - 26040
Chris Haley is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Quantitative trait locus & Population. The author has an hindex of 71, co-authored 410 publications receiving 23592 citations. Previous affiliations of Chris Haley include Medical Research Council & The Roslin Institute.
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Journal ArticleDOI
Genetic Mapping of Quantitative Trait Loci for Growth and Fatness in Pigs
Leif Andersson,Chris Haley,Hans Ellegren,Sara Knott,M. Johansson,Kjell Andersson,L. Andersson-Eklund,Inger Edfors-Lilja,Merete Fredholm,Ingemar Hansson,Jan Håkansson,Kerstin Lundström +11 more
TL;DR: The European wild boar was crossed with the domesticated Large White pig to genetically dissect phenotypic differences between these populations for growth and fat deposition, and the genetic mapping of a major locus for fat deposition in the pig could have implications for understanding human obesity.
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Mapping Quantitative Trait Loci in Crosses between Outbred Lines Using Least Squares
TL;DR: This paper developed a least square method for the analysis of crosses between outbred lines which simultaneously uses information from multiple linked markers, which is suitable for crosses where the lines may be segregating at marker loci but can be assumed to be fixed for alternative alleles at the major quantitative trait loci affecting the traits under analysis.
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Confidence Intervals in QTL Mapping by Bootstrapping
TL;DR: The determination of empirical confidence intervals for the location of quantitative trait loci (QTLs) was investigated using simulation using a bootstrap resampling method for a backcross population derived from inbred lines, and confidence intervals were slightly conservatively biased.
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QTL Express: mapping quantitative trait loci in simple and complex pedigrees
TL;DR: QTL Express is the first application for Quantitative Trait Locus mapping in outbred populations with a web-based user interface that allows mapping of single or multiple QTL by the regression approach, with the option to perform permutation or bootstrap tests.
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Genomewide Rapid Association Using Mixed Model and Regression: A Fast and Simple Method For Genomewide Pedigree-Based Quantitative Trait Loci Association Analysis
TL;DR: A novel approach for genomewide pedigree-based quantitative trait loci (QTL) association analysis:genomewide rapid association using mixed model and regression (GRAMMAR), which first obtains residuals adjusted for family effects and subsequently analyzes the association between residuals and genetic polymorphisms using rapid least-squares methods.