Visualisation files for multimorbidity analysis
datasetposted on 07.11.2018 by Tayaza Fadason
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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