Search for dissertations about: "Quantitative trait loci QTL"
Showing result 1 - 5 of 61 swedish dissertations containing the words Quantitative trait loci QTL.
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1. Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation
Abstract : This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. READ MORE
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2. QTL Analysis in the Pig : From the Identification of Quantitative Trait Loci to the Understanding of Molecular Mechanisms
Abstract : Domestic pigs have become very different form the wild ancestors they originate from. Selection for muscle growth and meat quality has made the pig a good model for genetic studies of muscle development.The first part of this thesis presents a genome-wide scan for quantitative trait loci (QTL) in a cross between Landrace and Hampshire pigs. READ MORE
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3. Genetic Analysis of Quantitative Traits Using Domestic Animals : A Candidate Gene and Genome Scanning Approach
Abstract : Domestication has led to genetic changes that affect quantitative traits in farm animals. Both candidate gene analysis using association tests and genome scans based on linkage analysis have been performed to understand the molecular basis underlying quantitative genetic variation in horses, pigs and chickens. READ MORE
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4. Chicken Genomics - Linkage and QTL mapping
Abstract : This thesis presents results from genetic studies conducted in the chicken (Gallus gallus). The domestication of chicken is believed to have been initiated approximately 7,000 – 9,000 years ago in Southeast Asia. READ MORE
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5. Two Optimization Problems in Genetics : Multi-dimensional QTL Analysis and Haplotype Inference
Abstract : The existence of new technologies, implemented in efficient platforms and workflows has made massive genotyping available to all fields of biology and medicine. Genetic analyses are no longer dominated by experimental work in laboratories, but rather the interpretation of the resulting data. READ MORE