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The Impact of Genetic Architecture on Genome-Wide Evaluation Methods
The rapid increase in high-throughput single-nucleotide polymorphism data has led to a great interest in applying genome-wide evaluation methods to identify an individual's genetic merit. Genome-wideExpand
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Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach
Background The prediction of the genetic disease risk of an individual is a powerful public health tool. While predicting risk has been successful in diseases which follow simple MendelianExpand
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Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding
Genomic-enabled prediction is becoming increasingly important in animal and plant breeding and is also receiving attention in human genetics. Deriving accurate predictions of complex traits requiresExpand
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Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle
The 1000 bull genomes project supports the goal of accelerating the rates of genetic gain in domestic cattle while at the same time considering animal health and welfare by providing the annotatedExpand
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Components of the accuracy of genomic prediction in a multi-breed sheep population.
In genome-wide association studies, failure to remove variation due to population structure results in spurious associations. In contrast, for predictions of future phenotypes or estimated breedingExpand
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Inbreeding in genome-wide selection.
Traditional selection methods, such as sib and best linear unbiased prediction (BLUP) selection, which increased genetic gain by increasing accuracy of evaluation have also led to an increased rateExpand
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Genomic Prediction in Animals and Plants: Simulation of Data, Validation, Reporting, and Benchmarking
The genomic prediction of phenotypes and breeding values in animals and plants has developed rapidly into its own research field. Results of genomic prediction studies are often difficult to compareExpand
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The importance of information on relatives for the prediction of genomic breeding values and the implications for the makeup of reference data sets in livestock breeding schemes
BackgroundThe theory of genomic selection is based on the prediction of the effects of genetic markers in linkage disequilibrium with quantitative trait loci. However, genomic selection also reliesExpand
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Genome-wide evaluation of populations
Dit proefschrift onderzoekt het gebruik van moleculaire merkers voor genetische evaluatie van populaties. Moleculaire merkers kunnen worden gebruikt om de nauwkeurigheid van geschatte fokwaardes teExpand
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A genome scan to detect quantitative trait loci for economically important traits in Holstein cattle using two methods and a dense single nucleotide polymorphism map.
Genome scans for detection of bovine quantitative trait loci (QTL) were performed via variance component linkage analysis and linkage disequilibrium single-locus regression (LDRM). Four hundredExpand
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