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Development of methods for genome-wide association studies (StatGnOfGenomeWideAS)
Date du début: 1 sept. 2009, Date de fin: 31 août 2011 PROJET  TERMINÉ 

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.

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