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Bicluster of GWAS phenotypes based on eGene pleiotropy

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posted on 04.11.2018 by Tayaza 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.

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University of Auckland

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Exports