The University of Auckland
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Visualisation files for multimorbidity analysis

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posted on 2018-11-07, 16:25 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) in >1,350 phenotypes in the GWAS Catalog. Using convex biclustering, we segregated phenotypes based on the eGenes they share, which implies a common underlying molecular mechanism. Understanding the roles the eGenes play has potential applications in understanding multimorbidities and drug repurposing.
This datasource underlie the figures generated in the study



University of Auckland