Bicluster of GWAS phenotypes based on eGene pleiotropy
figureposted on 2018-11-04, 00:45 authored by Tayaza FadasonTayaza Fadason
Chromatin interactions (using Hi-C) and functional (using eQTL) data were used to identify long-range regulatory associations involving >20,000 GWAS variants and their target genes (i.e. eGenes). This figure shows clusters of phenotypes that share eGenes, which implies a common underlying molecular mechanism.