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...
Expand abstract
Actions
Authors
Contributors
+ Donnelly, P
Division:
MPLS
Department:
Statistics
Role:
Supervisor
+ Marchini, J
Division:
MPLS
Department:
Statistics
Role:
Supervisor
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Funding agency for:
Su, Z
Bibliographic Details
- Publication date:
- 2008
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- Oxford University, UK
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
-
uuid:98614f8b-63fe-4fa1-9a24-422216ad14cf
- Local pid:
- ora:4900
- Deposit date:
- 2011-02-07
Terms of use
- Copyright holder:
- Su, Z
- Copyright date:
- 2008
If you are the owner of this record, you can report an update to it here: Report update to this record