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Thesis

Statistical methods for the analysis of genetic association studies

Abstract:

One of the main biological goals of recent years is to determine the genes in the human genome that cause disease. Recent technological advances have realised genome-wide association studies, which have uncovered numerous genetic regions implicated with human diseases. The current approach to analysing data from these studies is based on testing association at single SNPs but this is widely accepted as underpowered to detect rare and poorly tagged variants. In this thesis we propose several n...

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Institution:
University of Oxford
Research group:
Mathematical Genetics
Oxford college:
Balliol College
Department:
Mathematical,Physical & Life Sciences Division - Statistics
Role:
Author

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Role:
Supervisor
Role:
Supervisor
Publication date:
2008
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
Oxford University, UK
URN:
uuid:98614f8b-63fe-4fa1-9a24-422216ad14cf
Local pid:
ora:4900

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