|
Development of methods for genome-wide association studies
| acronym: |
StatGnOfGenomeWideAS |
| start: |
2009-09-01 |
| end: |
2011-08-31 |
| |
| programme: |
FP7 - Euroopa Liidu 7. raamprogramm |
| sub-programme: |
PEOPLE - Marie Curie tegevused |
| instrument: |
MC-IEF |
| call identifier: |
FP7-PEOPLE-IEF-2008 |
| project number: |
237423 |
| duration in months: |
24 |
| partner count: |
1 |
| |
| abstract: |
Genome-wide association studies have been very successful - and yet much of the genetic contribution to complex diseases remains unexplained. In-depth mining of GWA data sets may provide evidence of further novel variants: this could be through looking at epistasis, gene-environment interaction, disease sub-phenotypes, rare variants. These analyses can be applied to a range of data sets available to us including type 2 diabetes, Crohn's disease and anthropological traits including BMI, height and adiposity. |
| partner no and role |
partner name |
country |
contact person |
web page |
| 1 |
coordinator |
Tartu Ülikool |
EE |
Reedik Mägi |
http://www.ut.ee |
|
