- Abstract:
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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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- Funding agency for:
- Zhan Su
- 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
- Language:
- English
- Keywords:
- Subjects:
- Copyright holder:
- Zhan Su
- Copyright date:
- 2008
Thesis
Statistical methods for the analysis of genetic association studies
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