Bayesian methods for multivariate phenotype analysis in genome-wide association studies

Thesis

Most genome-wide association studies search for genetic variants associated to a single trait of interest, despite the main interest usually being the understanding of a complex genotype-phenotype network. Furthermore, many studies collect data on multiple phenotypes, each measuring a different aspect of the biological system under consideration, therefore it can often make sense to jointly analyze the phenotypes. However this is rarely the case and there is a lack of well developed method...

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Authors: Iotchkova, V

• Publication date: 2013
• DOI: 10.5287/ora-dp1z7jw78
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: GWAS; genotype; multivariate; bayesian; statistics; phenotype; modelling; method
• Subjects: Applications and algorithms; Computationally-intensive statistics; Statistics (see also social sciences); Mathematical genetics and bioinformatics (statistics)