Study
Profiling of 27 type 2 diabetes GWAS loci using next-generation (NG) capture C in a human beta-cell model
Study ID | Alternative Stable ID | Type |
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EGAS00001006105 | Other |
Study Description
Most type 2 diabetes association signals are due to variants that impact gene regulation but identifying the genes they impact is challenging. We generated interaction profiles at 27 T2D GWAS loci using next-generation (NG) capture C in a human beta-cell model ( EndoC-betaH1) and contrasted our maps with public Hi-C/promoter capture Hi-C maps in EndoC-betaH1 cells or human islets.
Study Datasets 1 dataset.
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Dataset ID | Description | Technology | Samples |
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EGAD00001008655 |
Most type 2 diabetes association signals are due to variants that impact gene regulation but identifying the genes they impact is challenging. We generated interaction profiles at 27 T2D GWAS loci using next-generation (NG) capture C (6 replicates) in the human beta-cell model, EndoC-betaH1, along with chromatin accessibility profiling using ATAC-Seq (9 replicates).
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NextSeq 500 | 15 |
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