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Thesis

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

Abstract:

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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Institution:
University of Oxford
Research group:
Dr Jonathan Marchini's group
Oxford college:
Mansfield College
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author

Contributors

Role:
Supervisor
Publication date:
2013
Type of award:
DPhil
Level of award:
Doctoral
URN:
uuid:66fd61e1-a6e3-4e91-959b-31a3ec88967c
Local pid:
ora:9647

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