Accepted_test

GWAS studies usually produce a limited numbers of marker genes, not large enough to provide GSEA-like analysis. Here we suggest a graph based algorithms that assignes a single function to each gene, thus providing an exclusive functional annotation. To this end a large number of functional signatures are combined into a single weighted graph, which is segregated into cliques. For each marker gene a limited gene set is formed that are coexpressed with the marker gene in the large number of co-expression studies and can be considered as a primary candidates for taking part in the same processes of phenotype formation.