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eGenes identified in GWAS traits

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posted on 2018-11-04, 22:11 authored by Tayaza FadasonTayaza Fadason, William SchierdingWilliam Schierding, Thomas LumleyThomas Lumley, Justin O'SullivanJustin O'Sullivan
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 dataset contains eGenes identified in >1,350 traits, together with their associated eQTL SNPs.

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University of Auckland

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t.fadason@auckland.ac.nz

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    Faculty of Science

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    Keywords

    eGeneseQTLsSNPsGWAScomorbiditymultimorbidyHi-Ccomplex diseasesQuantitative Genetics (incl. Disease and Trait Mapping Genetics)Medical Genetics (excl. Cancer Genetics)Genetics

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    CC BY 4.0

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