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Integrative analysis of super enhancer SNPs for type 2 diabetes

Clinical studies in type 2 diabetes (T2D) primarily focused on the single nucleotide polymorphisms (SNPs) located in protein-coding regions. Recently, the SNPs located in noncoding regions have also been recognized to play an important role in disease susceptibility. The super enhancer is a cluster...

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Autores principales: Sun, Weiping, Yao, Sihong, Tang, Jielong, Liu, Shuai, Chen, Juan, Deng, Daqing, Zeng, Chunping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792005/
https://www.ncbi.nlm.nih.gov/pubmed/29385209
http://dx.doi.org/10.1371/journal.pone.0192105
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author Sun, Weiping
Yao, Sihong
Tang, Jielong
Liu, Shuai
Chen, Juan
Deng, Daqing
Zeng, Chunping
author_facet Sun, Weiping
Yao, Sihong
Tang, Jielong
Liu, Shuai
Chen, Juan
Deng, Daqing
Zeng, Chunping
author_sort Sun, Weiping
collection PubMed
description Clinical studies in type 2 diabetes (T2D) primarily focused on the single nucleotide polymorphisms (SNPs) located in protein-coding regions. Recently, the SNPs located in noncoding regions have also been recognized to play an important role in disease susceptibility. The super enhancer is a cluster of transcriptional enhancers located in noncoding regions. It plays a critical role in cell-type specific gene expression. However, the exact mechanism of the super enhancer SNPs for T2D remains unclear. In this study, we integrated genome-wide association studies (GWASs) and T2D cell/tissue-specific histone modification ChIP-seq data to identify T2D-associated SNPs in super enhancer, followed by comprehensive bioinformatics analyses to further explore the functional importance of these SNPs. We identified several interesting T2D super enhancer SNPs. Interesting, most of them were clustered within the same or neighboring super enhancers. A number of SNPs are involved in chromatin interactive regulation and/or potentially influence the binding affinity of transcription factors. Gene Ontology (GO) analysis showed a significant enrichment in several well-known signaling pathways and regulatory process, e.g. WNT signaling pathway, which plays a key role in T2D metabolism. Our results highlighted the potential functional importance of T2D super enhancer SNPs, which may yield novel insights into the pathogenesis of T2D.
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spelling pubmed-57920052018-02-09 Integrative analysis of super enhancer SNPs for type 2 diabetes Sun, Weiping Yao, Sihong Tang, Jielong Liu, Shuai Chen, Juan Deng, Daqing Zeng, Chunping PLoS One Research Article Clinical studies in type 2 diabetes (T2D) primarily focused on the single nucleotide polymorphisms (SNPs) located in protein-coding regions. Recently, the SNPs located in noncoding regions have also been recognized to play an important role in disease susceptibility. The super enhancer is a cluster of transcriptional enhancers located in noncoding regions. It plays a critical role in cell-type specific gene expression. However, the exact mechanism of the super enhancer SNPs for T2D remains unclear. In this study, we integrated genome-wide association studies (GWASs) and T2D cell/tissue-specific histone modification ChIP-seq data to identify T2D-associated SNPs in super enhancer, followed by comprehensive bioinformatics analyses to further explore the functional importance of these SNPs. We identified several interesting T2D super enhancer SNPs. Interesting, most of them were clustered within the same or neighboring super enhancers. A number of SNPs are involved in chromatin interactive regulation and/or potentially influence the binding affinity of transcription factors. Gene Ontology (GO) analysis showed a significant enrichment in several well-known signaling pathways and regulatory process, e.g. WNT signaling pathway, which plays a key role in T2D metabolism. Our results highlighted the potential functional importance of T2D super enhancer SNPs, which may yield novel insights into the pathogenesis of T2D. Public Library of Science 2018-01-31 /pmc/articles/PMC5792005/ /pubmed/29385209 http://dx.doi.org/10.1371/journal.pone.0192105 Text en © 2018 Sun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sun, Weiping
Yao, Sihong
Tang, Jielong
Liu, Shuai
Chen, Juan
Deng, Daqing
Zeng, Chunping
Integrative analysis of super enhancer SNPs for type 2 diabetes
title Integrative analysis of super enhancer SNPs for type 2 diabetes
title_full Integrative analysis of super enhancer SNPs for type 2 diabetes
title_fullStr Integrative analysis of super enhancer SNPs for type 2 diabetes
title_full_unstemmed Integrative analysis of super enhancer SNPs for type 2 diabetes
title_short Integrative analysis of super enhancer SNPs for type 2 diabetes
title_sort integrative analysis of super enhancer snps for type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5792005/
https://www.ncbi.nlm.nih.gov/pubmed/29385209
http://dx.doi.org/10.1371/journal.pone.0192105
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