eGenes identified in GWAS traits Tayaza Fadason William Schierding Thomas Lumley Justin O'Sullivan 10.17608/k6.auckland.7295681.v1 https://auckland.figshare.com/articles/dataset/eGenes_identified_in_GWAS_traits/7295681 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. 2018-11-04 22:11:38 eGenes eQTLs SNPs GWAS comorbidity multimorbidy Hi-C complex diseases Quantitative Genetics (incl. Disease and Trait Mapping Genetics) Medical Genetics (excl. Cancer Genetics) Genetics