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Development of methods for genome-wide association studies
| akronüüm: |
StatGnOfGenomeWideAS |
| algus: |
2009-09-01 |
| lõpp: |
2011-08-31 |
| |
| programm: |
FP7 - Euroopa Liidu 7. raamprogramm |
| alaprogramm: |
PEOPLE - Marie Curie tegevused |
| instrument: |
MC-IEF |
| projektikonkurss: |
FP7-PEOPLE-IEF-2008 |
| projekti number: |
237423 |
| kestus kuudes: |
24 |
| partnerite arv: |
1 |
| |
| lühikokkuvõte: |
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. |
| partneri jrk nr ja roll |
partneri nimi |
riik |
kontaktisik |
koduleht |
| 1 |
koordinaator |
Tartu Ülikool |
EE |
Reedik Mägi |
http://www.ut.ee |
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