Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Capture Hi-C reveals novel candidate genes and complex long-range interactions with related autoimmune risk loci


ABSTRACT: Genome-wide association studies have been tremendously successful in identifying genetic variants associated with complex diseases. The majority of association signals are intergenic and evidence is accumulating that a high proportion of signals lie in enhancer regions.We use Capture Hi-C to investigate, for the first time, the interactions between associated variants for four autoimmune diseases and their functional targets in B- and T-cell lines. Here we report numerous looping interactions and provide evidence that only a minority of interactions are common to both B- and T-cell lines, suggesting interactions may be highly cell-type specific; some disease-associated SNPs do not interact with the nearest gene but with more compelling candidate genes (for example, FOXO1, AZI2) often situa

ORGANISM(S): Homo sapiens

SUBMITTER: Paul Martin 

PROVIDER: E-GEOD-69600 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress