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Skip to Search Results- 4Genome-wide association study
- 3Genomic prediction
- 2Epistasis
- 2Heritability
- 1Alloparenting
- 1Association study
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Fall 2013
Breast cancer is the most common cancer among women in the developed world. The disease results from the combined effects of genetic, environmental, reproductive and lifestyle risk factors. Germline DNA variations identified thus far by linkage and genome-wide association studies (GWASs) account...
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Identification of functional genes for feed efficiency traits via transcriptome analyses to enhance the genomic prediction accuracy in beef cattle
DownloadFall 2019
Residual feed intake (RFI), a measure of feed efficiency, and its component traits including average daily gain (ADG), dry matter intake (DMI) and metabolic weight (MWT) are traits of great economic importance to the beef industry. The genetic improvement of these traits can improve the...
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Improving Accuracy of Genomic Prediction for Economically Important Traits in Canadian Holstein Dairy Cattle
DownloadSpring 2017
Milk is a valuable source of energy, high quality protein, and several key minerals and vitamins for humans. Selection for milk production in dairy cattle was first based on phenotype and pedigree information and the knowledge of genetic parameters for the trait of interest. However, substantial...
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Looking beyond the standard genome-wide association study: Biologically-motivated methodological approaches to discover novel genetic variants associated with complex human traits and disease
DownloadFall 2018
The standard approach for testing associations between common single nucleotide genetic variants (referred to as single nucleotide polymorphisms or SNPs) and disease entails testing disease associations for each SNP in the genome individually. This “hypothesis-free” approach has identified...
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Spring 2016
Polar bears (Ursus maritimus) were among the first large mammals to be assessed for genetic variation in the wild, and they remain a common subject of genetics studies. Although recent advances in genotyping technology have allowed for more accurate determination of population structure and the...
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Fall 2017
In this dissertation, I focus on the study of genotype imputation in population data. Genotype imputation is a process of inferring missing values for genotype data and has been extended to predicting “untyped” genotypes for samples in low-density chips with a reference population assayed using...