Deep learning models predict regulatory variants in pancreatic islets and refine type 2 diabetes association signals

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Patterns of differential gene expression in a cellular model of human islet development, and relationship to type 2 diabetes predisposition

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Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk

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Integration of human pancreatic islet genomic data refines regulatory mechanisms at Type 2 Diabetes susceptibility loci

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Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

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Human pancreas development

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Role of transcription factors in the transdifferentiation of pancreatic islet cells

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Integrative analysis of 111 reference human epigenomes

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Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci

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Predicting effects of noncoding variants with deep learning–based sequence model

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Pancreatic islet enhancer clusters enriched in type 2 diabetes risk-associated variants

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Impact of Type 2 Diabetes Susceptibility Variants on Quantitative Glycemic Traits Reveals Mechanistic Heterogeneity

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Epigenomic plasticity enables human pancreatic α to β cell reprogramming

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Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants

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A genetically engineered human pancreatic β cell line exhibiting glucose-inducible insulin secretion

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Pancreatic β Cells Require NeuroD to Achieve and Maintain Functional Maturity

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Global Epigenomic Analysis of Primary Human Pancreatic Islets Provides Insights into Type 2 Diabetes Susceptibility Loci

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Genome-wide analysis of histone modifications in human pancreatic islets

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The NIH Roadmap Epigenomics Mapping Consortium

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A map of open chromatin in human pancreatic islets

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