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Thesis

Simple Bayesian approaches to modelling pleiotropy in genetic association data

Abstract:

Genome-wide association studies (GWAS) have become one of the most common types of genetic studies, due to their success at finding markers associated with diseases and other traits of interest. With thousands of these studies performed in the last decade, a variety of methods have been developed to meta-analyze their results to search for variants that affect multiple traits. This thesis introduces one such method, based on approximate Bayes factors (ABFs), which relies only on effect siz...

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Holly Trochet More by this author

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Supervisor
Role:
Supervisor
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Grant:
Prize Studentship
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Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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