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Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease
BACKGROUND: Dupuytren’s disease (DD) is a fibroproliferative disorder characterized by thickening and contracting palmar fascia. The exact pathogenesis of DD remains unknown. RESULTS: In this study, we identified co-expressed gene set (DD signature) consisting of 753 genes via weighted gene co-expre...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624179/ https://www.ncbi.nlm.nih.gov/pubmed/31296227 http://dx.doi.org/10.1186/s12920-019-0518-3 |
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author | Jung, Junghyun Kim, Go Woon Lee, Byungjo Joo, Jong Wha J. Jang, Wonhee |
author_facet | Jung, Junghyun Kim, Go Woon Lee, Byungjo Joo, Jong Wha J. Jang, Wonhee |
author_sort | Jung, Junghyun |
collection | PubMed |
description | BACKGROUND: Dupuytren’s disease (DD) is a fibroproliferative disorder characterized by thickening and contracting palmar fascia. The exact pathogenesis of DD remains unknown. RESULTS: In this study, we identified co-expressed gene set (DD signature) consisting of 753 genes via weighted gene co-expression network analysis. To confirm the robustness of DD signature, module enrichment analysis and meta-analysis were performed. Moreover, this signature effectively classified DD disease samples. The DD signature were significantly enriched in unfolded protein response (UPR) related to endoplasmic reticulum (ER) stress. Next, we conducted multiple-phenotype regression analysis to identify trans-regulatory hotspots regulating expression levels of DD signature using Genotype-Tissue Expression data. Finally, 10 trans-regulatory hotspots and 16 eGenes genes that are significantly associated with at least one cis-eQTL were identified. CONCLUSIONS: Among these eGenes, major histocompatibility complex class II genes and ZFP57 zinc finger protein were closely related to ER stress and UPR, suggesting that these genetic markers might be potential therapeutic targets for DD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0518-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6624179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66241792019-07-23 Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease Jung, Junghyun Kim, Go Woon Lee, Byungjo Joo, Jong Wha J. Jang, Wonhee BMC Med Genomics Research BACKGROUND: Dupuytren’s disease (DD) is a fibroproliferative disorder characterized by thickening and contracting palmar fascia. The exact pathogenesis of DD remains unknown. RESULTS: In this study, we identified co-expressed gene set (DD signature) consisting of 753 genes via weighted gene co-expression network analysis. To confirm the robustness of DD signature, module enrichment analysis and meta-analysis were performed. Moreover, this signature effectively classified DD disease samples. The DD signature were significantly enriched in unfolded protein response (UPR) related to endoplasmic reticulum (ER) stress. Next, we conducted multiple-phenotype regression analysis to identify trans-regulatory hotspots regulating expression levels of DD signature using Genotype-Tissue Expression data. Finally, 10 trans-regulatory hotspots and 16 eGenes genes that are significantly associated with at least one cis-eQTL were identified. CONCLUSIONS: Among these eGenes, major histocompatibility complex class II genes and ZFP57 zinc finger protein were closely related to ER stress and UPR, suggesting that these genetic markers might be potential therapeutic targets for DD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12920-019-0518-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-11 /pmc/articles/PMC6624179/ /pubmed/31296227 http://dx.doi.org/10.1186/s12920-019-0518-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Jung, Junghyun Kim, Go Woon Lee, Byungjo Joo, Jong Wha J. Jang, Wonhee Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease |
title | Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease |
title_full | Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease |
title_fullStr | Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease |
title_full_unstemmed | Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease |
title_short | Integrative genomic and transcriptomic analysis of genetic markers in Dupuytren’s disease |
title_sort | integrative genomic and transcriptomic analysis of genetic markers in dupuytren’s disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624179/ https://www.ncbi.nlm.nih.gov/pubmed/31296227 http://dx.doi.org/10.1186/s12920-019-0518-3 |
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