Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jung, Junghyun, Kim, Go Woon, Lee, Byungjo, Joo, Jong Wha J., Jang, Wonhee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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
_version_ 1783434216414904320
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
work_keys_str_mv AT jungjunghyun integrativegenomicandtranscriptomicanalysisofgeneticmarkersindupuytrensdisease
AT kimgowoon integrativegenomicandtranscriptomicanalysisofgeneticmarkersindupuytrensdisease
AT leebyungjo integrativegenomicandtranscriptomicanalysisofgeneticmarkersindupuytrensdisease
AT joojongwhaj integrativegenomicandtranscriptomicanalysisofgeneticmarkersindupuytrensdisease
AT jangwonhee integrativegenomicandtranscriptomicanalysisofgeneticmarkersindupuytrensdisease