Article
Meta-analysis of heterogeneous data sources for genome-scale identification of risk genes in complex phenotypes.
Genetic epidemiology - 1 Jul 2011
Pers Tune H, Hansen Niclas Tue, Lage Kasper, Koefoed Pernille, Dworzynski Piotr, Miller Martin Lee, Flint Tracey J, Mellerup Erling, Dam Henrik, Andreassen Ole A, Djurovic Srdjan, Melle Ingrid, Børglum Anders D, Werge Thomas, Purcell Shaun, Ferreira Manuel A, Kouskoumvekaki Irene, Workman Christopher T, Hansen Torben, Mors Ole, Brunak Søren
Abstract excerpt
Meta-analyses of large-scale association studies typically proceed solely within one data type and do not exploit the potential complementarities in other sources of molecular evidence. Here, we present an approach to combine heterogeneous data from genome-wide association (GWA) studies, protein-protein interaction screens, disease similarity, linkage studies, and gene expression experiments into a multi-layered...
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