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Article

Interpreting type 1 diabetes risk with genetics and single-cell epigenomics.

Nature - 1 Jun 2021

Chiou Joshua, Geusz Ryan J, Okino Mei-Lin, Han Jee Yun, Miller Michael, Melton Rebecca, Beebe Elisha, Benaglio Paola, Huang Serina, Korgaonkar Katha, Heller Sandra, Kleger Alexander, Preissl Sebastian, Gorkin David U, Sander Maike, Gaulton Kyle J

Abstract excerpt

Genetic risk variants that have been identified in genome-wide association studies of complex diseases are primarily non-coding1. Translating these risk variants into mechanistic insights requires detailed maps of gene regulation in disease-relevant cell types2. Here we combined two approaches: a genome-wide association study of type 1 diabetes (T1D) using 520,580 samples, and the identification of candidate...

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Identifiers

PMID: 34012112
DOI: 10.1038/s41586-021-03552-w
PMCID: PMC10560508

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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