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Article

Integration of genomics and transcriptomics predicts diabetic retinopathy susceptibility genes.

eLife - 9 Nov 2020

Skol Andrew D, Jung Segun C, Sokovic Ana Marija, Chen Siquan, Fazal Sarah, Sosina Olukayode, Borkar Poulami P, Lin Amy, Sverdlov Maria, Cao Dingcai, Swaroop Anand, Bebu Ionut, Stranger Barbara E, Grassi Michael A

Abstract excerpt

We determined differential gene expression in response to high glucose in lymphoblastoid cell lines derived from matched individuals with type 1 diabetes with and without retinopathy. Those genes exhibiting the largest difference in glucose response were assessed for association with diabetic retinopathy in a genome-wide association study meta-analysis. Expression quantitative trait loci (eQTLs) of the glucose...

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Share to Cell Line, Transformed
Share to Diabetes Mellitus, Type 1

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 33164750
DOI: 10.7554/eLife.59980
PMCID: PMC7728435

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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