Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
1 "Epistasis, genetic"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Genetics
Article image
Enhancer-Gene Interaction Analyses Identified the Epidermal Growth Factor Receptor as a Susceptibility Gene for Type 2 Diabetes Mellitus
Yang Yang, Shi Yao, Jing-Miao Ding, Wei Chen, Yan Guo
Diabetes Metab J. 2021;45(2):241-250.   Published online June 10, 2020
DOI: https://doi.org/10.4093/dmj.2019.0204
  • 6,409 View
  • 107 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background

Genetic interactions are known to play an important role in the missing heritability problem for type 2 diabetes mellitus (T2DM). Interactions between enhancers and their target genes play important roles in gene regulation and disease pathogenesis. In the present study, we aimed to identify genetic interactions between enhancers and their target genes associated with T2DM.

Methods

We performed genetic interaction analyses of enhancers and protein-coding genes for T2DM in 2,696 T2DM patients and 3,548 controls of European ancestry. A linear regression model was used to identify single nucleotide polymorphism (SNP) pairs that could affect the expression of the protein-coding genes. Differential expression analyses were used to identify differentially expressed susceptibility genes in diabetic and nondiabetic subjects.

Results

We identified one SNP pair, rs4947941×rs7785013, significantly associated with T2DM (combined P=4.84×10−10). The SNP rs4947941 was annotated as an enhancer, and rs7785013 was located in the epidermal growth factor receptor (EGFR) gene. This SNP pair was significantly associated with EGFR expression in the pancreas (P=0.033), and the minor allele “A” of rs7785013 decreased EGFR gene expression and the risk of T2DM with an increase in the dosage of “T” of rs4947941. EGFR expression was significantly upregulated in T2DM patients, which was consistent with the effect of rs4947941×rs7785013 on T2DM and EGFR expression. A functional validation study using the Mouse Genome Informatics (MGI) database showed that EGFR was associated with diabetes-relevant phenotypes.

Conclusion

Genetic interaction analyses of enhancers and protein-coding genes suggested that EGFR may be a novel susceptibility gene for T2DM.

Citations

Citations to this article as recorded by  
  • Hypoglycemic Activity of Rice Resistant-Starch Metabolites: A Mechanistic Network Pharmacology and In Vitro Approach
    Jianing Ren, Jing Dai, Yue Chen, Zhenzhen Wang, Ruyi Sha, Jianwei Mao, Yangchen Mao
    Metabolites.2024; 14(4): 224.     CrossRef
  • Genome-Wide Epistasis Study of Cerebrospinal Fluid Hyperphosphorylated Tau in ADNI Cohort
    Dandan Chen, Jin Li, Hongwei Liu, Xiaolong Liu, Chenghao Zhang, Haoran Luo, Yiming Wei, Yang Xi, Hong Liang, Qiushi Zhang
    Genes.2023; 14(7): 1322.     CrossRef
  • Investigation of the mechanism of Shen Qi Wan prescription in the treatment of T2DM via network pharmacology and molecular docking
    Piaopiao Zhao, Xiaoxiao Zhang, Yuning Gong, Weihua Li, Zengrui Wu, Yun Tang, Guixia Liu
    In Silico Pharmacology.2022;[Epub]     CrossRef
  • The Role of the Epidermal Growth Factor Receptor in Diabetic Kidney Disease
    Raymond C. Harris
    Cells.2022; 11(21): 3416.     CrossRef
  • Co-expression Network Revealed Roles of RNA m6A Methylation in Human β-Cell of Type 2 Diabetes Mellitus
    Cong Chen, Qing Xiang, Weilin Liu, Shengxiang Liang, Minguang Yang, Jing Tao
    Frontiers in Cell and Developmental Biology.2021;[Epub]     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal
Close layer