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Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm

Abdominal aortic aneurysm (AAA) is a common degenerative cardiovascular disease whose pathobiology is not clearly understood. The cellular heterogeneity and cell-type-specific gene regulation of vascular cells in human AAA have not been well-characterized. Here, we performed analysis of whole-genome...

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Autores principales: Ma, Shining, Chen, Xi, Zhu, Xiang, Tsao, Philip S., Wong, Wing Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740683/
https://www.ncbi.nlm.nih.gov/pubmed/34930827
http://dx.doi.org/10.1073/pnas.2115601119
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author Ma, Shining
Chen, Xi
Zhu, Xiang
Tsao, Philip S.
Wong, Wing Hung
author_facet Ma, Shining
Chen, Xi
Zhu, Xiang
Tsao, Philip S.
Wong, Wing Hung
author_sort Ma, Shining
collection PubMed
description Abdominal aortic aneurysm (AAA) is a common degenerative cardiovascular disease whose pathobiology is not clearly understood. The cellular heterogeneity and cell-type-specific gene regulation of vascular cells in human AAA have not been well-characterized. Here, we performed analysis of whole-genome sequencing data in AAA patients versus controls with the aim of detecting disease-associated variants that may affect gene regulation in human aortic smooth muscle cells (AoSMC) and human aortic endothelial cells (HAEC), two cell types of high relevance to AAA disease. To support this analysis, we generated H3K27ac HiChIP data for these cell types and inferred cell-type-specific gene regulatory networks. We observed that AAA-associated variants were most enriched in regulatory regions in AoSMC, compared with HAEC and CD4(+) cells. The cell-type-specific regulation defined by this HiChIP data supported the importance of ERG and the KLF family of transcription factors in AAA disease. The analysis of regulatory elements that contain noncoding variants and also are differentially open between AAA patients and controls revealed the significance of the interleukin-6-mediated signaling pathway. This finding was further validated by including information from the deleteriousness effect of nonsynonymous single-nucleotide variants in AAA patients and additional control data from the Medical Genome Reference Bank dataset. These results shed important insights into AAA pathogenesis and provide a model for cell-type-specific analysis of disease-associated variants.
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spelling pubmed-87406832022-01-25 Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm Ma, Shining Chen, Xi Zhu, Xiang Tsao, Philip S. Wong, Wing Hung Proc Natl Acad Sci U S A Physical Sciences Abdominal aortic aneurysm (AAA) is a common degenerative cardiovascular disease whose pathobiology is not clearly understood. The cellular heterogeneity and cell-type-specific gene regulation of vascular cells in human AAA have not been well-characterized. Here, we performed analysis of whole-genome sequencing data in AAA patients versus controls with the aim of detecting disease-associated variants that may affect gene regulation in human aortic smooth muscle cells (AoSMC) and human aortic endothelial cells (HAEC), two cell types of high relevance to AAA disease. To support this analysis, we generated H3K27ac HiChIP data for these cell types and inferred cell-type-specific gene regulatory networks. We observed that AAA-associated variants were most enriched in regulatory regions in AoSMC, compared with HAEC and CD4(+) cells. The cell-type-specific regulation defined by this HiChIP data supported the importance of ERG and the KLF family of transcription factors in AAA disease. The analysis of regulatory elements that contain noncoding variants and also are differentially open between AAA patients and controls revealed the significance of the interleukin-6-mediated signaling pathway. This finding was further validated by including information from the deleteriousness effect of nonsynonymous single-nucleotide variants in AAA patients and additional control data from the Medical Genome Reference Bank dataset. These results shed important insights into AAA pathogenesis and provide a model for cell-type-specific analysis of disease-associated variants. National Academy of Sciences 2021-12-20 2022-01-04 /pmc/articles/PMC8740683/ /pubmed/34930827 http://dx.doi.org/10.1073/pnas.2115601119 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Physical Sciences
Ma, Shining
Chen, Xi
Zhu, Xiang
Tsao, Philip S.
Wong, Wing Hung
Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm
title Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm
title_full Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm
title_fullStr Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm
title_full_unstemmed Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm
title_short Leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm
title_sort leveraging cell-type-specific regulatory networks to interpret genetic variants in abdominal aortic aneurysm
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740683/
https://www.ncbi.nlm.nih.gov/pubmed/34930827
http://dx.doi.org/10.1073/pnas.2115601119
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