Cell-type-specific cis-eQTLs in pancreatic cell types identify novel risk genes for type 2 diabetes

Type 2 diabetes (T2D) is a complex metabolic disorder strongly influenced by genetics. Most genetic studies, including expression quantitative trait loci (eQTL) analyses, use bulk pancreatic tissue, masking cell-specific mechanisms. Here, by integrating single-cell RNA sequencing, chromatin accessibility, and genome-wide association studies (GWAS) data, we systematically identified 328 pancreatic cell-type-specific cis-eQTLs associated with T2D. We pinpointed nine key genes (including STIL in beta and delta cells; ZSWIM5 in alpha, delta, and ductal cells; IL1RN, ANP32E, IPP, MLLT11, and SLC23A3 in delta cells; SNX4 in gamma cells; and RBMS1 in beta cells) whose SNPs overlapped with chromatin accessibility peaks. These genes highlight regulatory pathways in beta-cell dysfunction, metabolic stress responses, and disrupted pancreatic homeostasis. A public database, CTPeQTLs (https://ctpeqtls.netlify.app/), was developed to explore cis-eQTLs across diabetic and non-diabetic cohorts, revealing distinct regulatory patterns in both endocrine and exocrine cells, as well as disease-associated transcriptional dysregulation. Our findings uncover cell-specific genetic mechanisms in diabetes and provide potential therapeutic targets, supporting precision medicine strategies.

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Publication Details

Journal
Briefings in Bioinformatics
Published
2025-08-31
DOI
https://doi.org/10.1093/bib/bbaf531
Primary Topic
Pancreatic function and diabetes
Type
article
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article

Cell-type-specific cis-eQTLs in pancreatic cell types identify novel risk genes for type 2 diabetes

Jianguang Ji, Xiaocao Miao, Yanqiu Yu, Dong‐Xue Li et al.
Briefings in Bioinformatics
Pancreatic function and diabetes
article

Cell-type-specific cis-eQTLs in pancreatic cell types identify novel risk genes for type 2 diabetes

Jianguang Ji, Xiaocao Miao, Yanqiu Yu, Dong‐Xue Li, Tao Chen, Zhigang Zhang, Qing Li, Hui Li, Lei Zhu
article en

Abstract

Type 2 diabetes (T2D) is a complex metabolic disorder strongly influenced by genetics. Most genetic studies, including expression quantitative trait loci (eQTL) analyses, use bulk pancreatic tissue, masking cell-specific mechanisms. Here, by integrating single-cell RNA sequencing, chromatin accessibility, and genome-wide association studies (GWAS) data, we systematically identified 328 pancreatic cell-type-specific cis-eQTLs associated with T2D. We pinpointed nine key genes (including STIL in beta and delta cells; ZSWIM5 in alpha, delta, and ductal cells; IL1RN, ANP32E, IPP, MLLT11, and SLC23A3 in delta cells; SNX4 in gamma cells; and RBMS1 in beta cells) whose SNPs overlapped with chromatin accessibility peaks. These genes highlight regulatory pathways in beta-cell dysfunction, metabolic stress responses, and disrupted pancreatic homeostasis. A public database, CTPeQTLs (https://ctpeqtls.netlify.app/), was developed to explore cis-eQTLs across diabetic and non-diabetic cohorts, revealing distinct regulatory patterns in both endocrine and exocrine cells, as well as disease-associated transcriptional dysregulation. Our findings uncover cell-specific genetic mechanisms in diabetes and provide potential therapeutic targets, supporting precision medicine strategies.

Briefings in BioinformaticsVol. 26(5)
Shenyang Medical College (CN), University of Macau (MO), Shenyang Science and Technology Bureau (CN), Ganzhou People's Hospital (CN), Shanghai Cancer Institute (CN), State Key Laboratory of Oncogene and Related Genes (CN), Guangzhou Medical University Cancer Hospital (CN), Southern Medical University (CN), China Medical University (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 55%
Pancreatic function and diabetes
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