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Data · dataset · 2018

Visualisation files for multimorbidity analysis

Listed in DataCite

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.

Description

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

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Genetics

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DataCite10.17608/k6.auckland.730894413 d agoJSON v1
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