Nature Communications · 2017 · 62 citations · 43 references
Life SciencesGeneticsMolecular GeneticsEpigenomicsGenome EditingGenomicsEnhancer ArchitectureEpigenome EditingEpigenomic Data AnalysisEpigenomics IntegrationGenome-wide Association StudiesPlatelet DisordersEnhancer EpigenomicsEnhancer VariantsLong-range Regulatory InteractionsPromoter-promoter InteractionsSuper-enhancer FunctionSuper-enhancer InteractionsSuper-enhancer RegulationSuper-enhancers
Linking non-coding genetic variants associated with the risk of diseases or disease-relevant traits to target genes is a crucial step to realize GWAS potential in the introduction of precision medicine. Here we set out to determine the mechanisms underpinning variant association with platelet quantitative traits using cell type-matched epigenomic data and promoter long-range interactions. We identify potential regulatory functions for 423 of 565 (75%) non-coding variants associated with platelet traits and we demonstrate, through ex vivo and proof of principle genome editing validation, that variants in super enhancers play an important role in controlling archetypical platelet functions.
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