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Untangling the genetic link between type 1 and type 2 diabetes using functional genomics
There is evidence pointing towards shared etiological features between type 1 diabetes (T1D) and type 2 diabetes (T2D) despite both phenotypes being considered genetically distinct. However, the existence of shared genetic features for T1D and T2D remains complex and poorly defined. To better unders...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260770/ https://www.ncbi.nlm.nih.gov/pubmed/34230558 http://dx.doi.org/10.1038/s41598-021-93346-x |
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author | Nyaga, Denis M. Vickers, Mark H. Jefferies, Craig Fadason, Tayaza O’Sullivan, Justin M. |
author_facet | Nyaga, Denis M. Vickers, Mark H. Jefferies, Craig Fadason, Tayaza O’Sullivan, Justin M. |
author_sort | Nyaga, Denis M. |
collection | PubMed |
description | There is evidence pointing towards shared etiological features between type 1 diabetes (T1D) and type 2 diabetes (T2D) despite both phenotypes being considered genetically distinct. However, the existence of shared genetic features for T1D and T2D remains complex and poorly defined. To better understand the link between T1D and T2D, we employed an integrated functional genomics approach involving extensive chromatin interaction data (Hi-C) and expression quantitative trait loci (eQTL) data to characterize the tissue-specific impacts of single nucleotide polymorphisms associated with T1D and T2D. We identified 195 pleiotropic genes that are modulated by tissue-specific spatial eQTLs associated with both T1D and T2D. The pleiotropic genes are enriched in inflammatory and metabolic pathways that include mitogen-activated protein kinase activity, pertussis toxin signaling, and the Parkinson’s disease pathway. We identified 8 regulatory elements within the TCF7L2 locus that modulate transcript levels of genes involved in immune regulation as well as genes important in the etiology of T2D. Despite the observed gene and pathway overlaps, there was no significant genetic correlation between variant effects on T1D and T2D risk using European ancestral summary data. Collectively, our findings support the hypothesis that T1D and T2D specific genetic variants act through genetic regulatory mechanisms to alter the regulation of common genes, and genes that co-locate in biological pathways, to mediate pleiotropic effects on disease development. Crucially, a high risk genetic profile for T1D alters biological pathways that increase the risk of developing both T1D and T2D. The same is not true for genetic profiles that increase the risk of developing T2D. The conversion of information on genetic susceptibility to the protein pathways that are altered provides an important resource for repurposing or designing novel therapies for the management of diabetes. |
format | Online Article Text |
id | pubmed-8260770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-82607702021-07-08 Untangling the genetic link between type 1 and type 2 diabetes using functional genomics Nyaga, Denis M. Vickers, Mark H. Jefferies, Craig Fadason, Tayaza O’Sullivan, Justin M. Sci Rep Article There is evidence pointing towards shared etiological features between type 1 diabetes (T1D) and type 2 diabetes (T2D) despite both phenotypes being considered genetically distinct. However, the existence of shared genetic features for T1D and T2D remains complex and poorly defined. To better understand the link between T1D and T2D, we employed an integrated functional genomics approach involving extensive chromatin interaction data (Hi-C) and expression quantitative trait loci (eQTL) data to characterize the tissue-specific impacts of single nucleotide polymorphisms associated with T1D and T2D. We identified 195 pleiotropic genes that are modulated by tissue-specific spatial eQTLs associated with both T1D and T2D. The pleiotropic genes are enriched in inflammatory and metabolic pathways that include mitogen-activated protein kinase activity, pertussis toxin signaling, and the Parkinson’s disease pathway. We identified 8 regulatory elements within the TCF7L2 locus that modulate transcript levels of genes involved in immune regulation as well as genes important in the etiology of T2D. Despite the observed gene and pathway overlaps, there was no significant genetic correlation between variant effects on T1D and T2D risk using European ancestral summary data. Collectively, our findings support the hypothesis that T1D and T2D specific genetic variants act through genetic regulatory mechanisms to alter the regulation of common genes, and genes that co-locate in biological pathways, to mediate pleiotropic effects on disease development. Crucially, a high risk genetic profile for T1D alters biological pathways that increase the risk of developing both T1D and T2D. The same is not true for genetic profiles that increase the risk of developing T2D. The conversion of information on genetic susceptibility to the protein pathways that are altered provides an important resource for repurposing or designing novel therapies for the management of diabetes. Nature Publishing Group UK 2021-07-06 /pmc/articles/PMC8260770/ /pubmed/34230558 http://dx.doi.org/10.1038/s41598-021-93346-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Nyaga, Denis M. Vickers, Mark H. Jefferies, Craig Fadason, Tayaza O’Sullivan, Justin M. Untangling the genetic link between type 1 and type 2 diabetes using functional genomics |
title | Untangling the genetic link between type 1 and type 2 diabetes using functional genomics |
title_full | Untangling the genetic link between type 1 and type 2 diabetes using functional genomics |
title_fullStr | Untangling the genetic link between type 1 and type 2 diabetes using functional genomics |
title_full_unstemmed | Untangling the genetic link between type 1 and type 2 diabetes using functional genomics |
title_short | Untangling the genetic link between type 1 and type 2 diabetes using functional genomics |
title_sort | untangling the genetic link between type 1 and type 2 diabetes using functional genomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260770/ https://www.ncbi.nlm.nih.gov/pubmed/34230558 http://dx.doi.org/10.1038/s41598-021-93346-x |
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