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Article

Identifying the lungs as a susceptible site for allele-specific regulatory changes associated with type 1 diabetes risk.

Communications biology - 14 Sept 2021

Ho Daniel, Nyaga Denis M, Schierding William, Saffery Richard, Perry Jo K, Taylor John A, Vickers Mark H, Kempa-Liehr Andreas W, O'Sullivan Justin M

Abstract excerpt

Type 1 diabetes (T1D) etiology is complex. We developed a machine learning approach that ranked the tissue-specific transcription regulatory effects for T1D SNPs and estimated their relative contributions to conversion to T1D by integrating case and control genotypes (Wellcome Trust Case Control Consortium and UK Biobank) with tissue-specific expression quantitative trait loci (eQTL) data. Here we show an eQTL...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 34521982
DOI: 10.1038/s42003-021-02594-0
PMCID: PMC8440780

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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