Search for dissertations about: "quantitative genetic"

Showing result 1 - 5 of 298 swedish dissertations containing the words quantitative genetic.

  2. 1. Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation

    Author : Xia Shen; Örjan Carlborg; Lars Rönnegård; William Hill; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; statistical genetics; quantitative trait loci; genome-wide association study; genomic selection; genetic variance; hierarchical generalized linear model; linear mixed model; random effect; heteroscedastic effects model; variance-controlling genes; Complex Systems – Microdata Analysis;

    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

  4. 2. Quantitative genetic variation in declining plant populations

    Author : Maarten Ellmer; Biologiska institutionen; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Saxifraga granulata; Briza media; Nigella degenii; bottleneck; Inbreeding depression; founder effects; drift; quantitative genetic; diversifying selection; habitat fragmentation; small populations;

    Abstract : The ecological and genetic effects of habitat fragmentation are an issue of major concern in current conservation biology. Habitat fragmentation results in smaller habitat areas and as a consequence smaller and more isolated populations. Many habitats have become fragmented through human activities such as forestry and agricultural development. READ MORE

  5. 3. INDIVIDUAL GENETIC RESEARCH RESULTS : Uncertainties, Conceptions, and Preferences

    Author : Jennifer Viberg Johansson; M G Hansson; Pär Segerdahl; Sophie Langenskiöld; Marion McAllister; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Incidental findings; genetic risk information; research participants; risk perception; free choice; framing; conceptions of genetic risk; making sense of genetic risk; preferences for genetic risk information;

    Abstract : This thesis contributes to the ethical discussion on how to handle incidental findings in biomedical research using sequencing technologies from a theoretical and an empirical perspective. Study I and II are theoretical studies that used conceptual analysis. READ MORE

  6. 4. Genetic Analysis of Quantitative Traits Using Domestic Animals : A Candidate Gene and Genome Scanning Approach

    Author : Hee-Bok Park; Leif Andersson; Stefan Marklund; Robert Fredricksson; Holger Luthman; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Genetics; Domestication; horse; pig; chicken; quantitative traits; candidate gene; genome scan; PRKAG3; MC4R; selection experiment; growth; correlated response; metabolic disorders; Quantitative Trait Loci; linkage; single nucleotide polymorphisms; Genetik; Clinical genetics; Klinisk genetik;

    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

  7. 5. Genetic Heteroscedasticity for Domestic Animal Traits

    Author : Majbritt Felleki; Erling Strandberg; Lars Rönnegård; Ole Fredslund Christensen; Högskolan Dalarna; Sveriges lantbruksuniversitet; []
    Keywords : LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; LANTBRUKSVETENSKAPER; AGRICULTURAL SCIENCES; Quantitative genetics; genetic heteroscedasticity of residuals; genetic heterogeneity of environmental variation; genetic heterogeneity of residual variance; double hierarchical generalized linear models; teat count in pigs; litter size in pigs; milk yield in cows; somatic cell count in cows; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Abstract : Animal traits differ not only in mean, but also in variation around the mean. For instance, one sire’s daughter group may be very homogeneous, while another sire’s daughters are much more heterogeneous in performance. The difference in residual variance can partially be explained by genetic differences. READ MORE