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
Linkage mapping of the locus for inherited ovine arthrogryposis (IOA) to sheep chromosome 5.
Angela M. Murphy,David E. MacHugh,Stephen D. E. Park,Erik Scraggs,Chris Haley,David J. Lynn,Maurice P. Boland,Michael L. Doherty +7 more
TL;DR: A survey of the HSA5 genome sequence identified plausible candidate genes for both IOA and human AMCN and highlighted a previously fine-mapped locus for human arthrogryposis multiplex congenita neurogenic type (AMCN).
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Optimal use of regression models in genome-wide association studies.
Joseph E. Powell,Andreas Kranis,J Floyd,Jack C. M. Dekkers,Sara Knott,Chris Haley,Chris Haley +6 more
TL;DR: The results provide an indication of the best choice of model parameterization given certain scenarios of marker and QTL LD and allele frequencies and show that the greatest advantage of haplotype models over single-marker models occurs when LD between markers and the causal locus is low.
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Methods of segregation analysis for animal breeding data: parameter estimates.
TL;DR: Three approximations to the combined model likelihood (including variation due to both polygenes and a major gene) used in segregation analysis were compared in their ability to estimate the parameters describing the model.
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Optimizing mating schemes in fish breeding
TL;DR: The optimal contribution selection method and the simulated annealing algorithm were used to maximize the genetic gain and reduce inbreeding in fish breeding populations and the optimal family size was found at 20 fish per mating.
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The impact of using related individuals for haplotype reconstruction in population studies.
TL;DR: It is shown that a preliminary estimate of the haplotype frequency distribution can be valuable in large population studies with fixed resources and a wide variety of important results regarding the effectiveness of using pedigree data in a population study are presented in a coherent, unified framework.