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Translation of disease associated regions into pathogenic molecular mechanisms with clinically relevant potential is currently a key issue of Genome Wide Association Studies (GWAS).


We have developed a novel statistical method (Locus Spider) which implements a network based optimization principles to prioritize genes and to figure out molecular mechanisms implicated by the disease associated loci. The procedure is based on obvious biological principals and translates a set of disease associated loci into a disease specific gene sub-network. For more details please visit

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