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Thesis

Statistical models of gene-environment interactions

Abstract:

Despite longstanding interest in gene-by-environment (GxE) interactions, the contribution of GxE interactions to complex disease in humans remains poorly characterised. Studies of GxE interaction are statistically challenging due to the inherent high dimensionality of environmental exposures, the increased sample size required to robustly detect GxE effects and the historic lack of large datasets that combine genetic and environmental data. In this thesis I introduce a new approach for GxE...

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Institution:
University of Oxford
Division:
MSD
Department:
Doctoral Training Centre - MSD
Role:
Author

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Role:
Supervisor
Role:
Supervisor
Role:
Supervisor
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Grant:
109106/Z/15/Z
Funding agency for:
Kerin, M
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
UUID:
uuid:030575e6-dc3d-42ec-9ecb-cae32fa5dfad
Language:
English
Keywords:
Subjects:

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