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