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Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci
Identifying causal regulatory variants and their target genes from the majority of non-coding disease-associated genetic loci is the main challenge in post-Genome-Wide Association Studies (GWAS) functional studies. Although chromosome conformation capture (3C) and its derivative technologies have be...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017555/ https://www.ncbi.nlm.nih.gov/pubmed/33815481 http://dx.doi.org/10.3389/fgene.2021.646179 |
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author | Wang, Wei Song, Fengju Feng, Xiangling Chu, Xinlei Dai, Hongji Tian, Jing Fang, Xuan Song, Fangfang Liu, Ben Li, Lian Li, Xiangchun Zhao, Yanrui Zheng, Hong Chen, Kexin |
author_facet | Wang, Wei Song, Fengju Feng, Xiangling Chu, Xinlei Dai, Hongji Tian, Jing Fang, Xuan Song, Fangfang Liu, Ben Li, Lian Li, Xiangchun Zhao, Yanrui Zheng, Hong Chen, Kexin |
author_sort | Wang, Wei |
collection | PubMed |
description | Identifying causal regulatory variants and their target genes from the majority of non-coding disease-associated genetic loci is the main challenge in post-Genome-Wide Association Studies (GWAS) functional studies. Although chromosome conformation capture (3C) and its derivative technologies have been successfully applied to nominate putative causal genes for non-coding variants, many GWAS target genes have not been identified yet. This study generated a high-resolution contact map from epithelial ovarian cancer (EOC) cells with two H3K27ac-HiChIP libraries and analyzed the underlying gene networks for 15 risk loci identified from the largest EOC GWAS. By combinatory analysis of 4,021 fine-mapped credible variants of EOC GWAS and high-resolution contact map, we obtained 162 target genes that mainly enriched in cancer related pathways. Compared with GTEx eQTL genes in ovarian tissue and annotated proximal genes, 132 HiChIP targets were first identified for EOC causal variants. More than half of the credible variants (CVs) involved interactions that were over 185 kb in distance, indicating that long-range transcriptional regulation is an important mechanism for the function of GWAS variants in EOC. We also found that many HiChIP gene targets showed significantly differential expressions between normal ovarian and EOC tumor samples. We validated one of these targets by manipulating the rs9303542 located region with CRISPR-Cas9 deletion and dCas9-VP64 activation experiments and found altered expression of HOXB7 and HOXB8 at 17q21.32. This study presents a systematic analysis to identify putative target genes for causal variants of EOC, providing an in-depth investigation of the mechanisms of non-coding regulatory variants in the etiology and pathogenesis of ovarian cancer. |
format | Online Article Text |
id | pubmed-8017555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80175552021-04-03 Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci Wang, Wei Song, Fengju Feng, Xiangling Chu, Xinlei Dai, Hongji Tian, Jing Fang, Xuan Song, Fangfang Liu, Ben Li, Lian Li, Xiangchun Zhao, Yanrui Zheng, Hong Chen, Kexin Front Genet Genetics Identifying causal regulatory variants and their target genes from the majority of non-coding disease-associated genetic loci is the main challenge in post-Genome-Wide Association Studies (GWAS) functional studies. Although chromosome conformation capture (3C) and its derivative technologies have been successfully applied to nominate putative causal genes for non-coding variants, many GWAS target genes have not been identified yet. This study generated a high-resolution contact map from epithelial ovarian cancer (EOC) cells with two H3K27ac-HiChIP libraries and analyzed the underlying gene networks for 15 risk loci identified from the largest EOC GWAS. By combinatory analysis of 4,021 fine-mapped credible variants of EOC GWAS and high-resolution contact map, we obtained 162 target genes that mainly enriched in cancer related pathways. Compared with GTEx eQTL genes in ovarian tissue and annotated proximal genes, 132 HiChIP targets were first identified for EOC causal variants. More than half of the credible variants (CVs) involved interactions that were over 185 kb in distance, indicating that long-range transcriptional regulation is an important mechanism for the function of GWAS variants in EOC. We also found that many HiChIP gene targets showed significantly differential expressions between normal ovarian and EOC tumor samples. We validated one of these targets by manipulating the rs9303542 located region with CRISPR-Cas9 deletion and dCas9-VP64 activation experiments and found altered expression of HOXB7 and HOXB8 at 17q21.32. This study presents a systematic analysis to identify putative target genes for causal variants of EOC, providing an in-depth investigation of the mechanisms of non-coding regulatory variants in the etiology and pathogenesis of ovarian cancer. Frontiers Media S.A. 2021-03-19 /pmc/articles/PMC8017555/ /pubmed/33815481 http://dx.doi.org/10.3389/fgene.2021.646179 Text en Copyright © 2021 Wang, Song, Feng, Chu, Dai, Tian, Fang, Song, Liu, Li, Li, Zhao, Zheng and Chen. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Wang, Wei Song, Fengju Feng, Xiangling Chu, Xinlei Dai, Hongji Tian, Jing Fang, Xuan Song, Fangfang Liu, Ben Li, Lian Li, Xiangchun Zhao, Yanrui Zheng, Hong Chen, Kexin Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci |
title | Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci |
title_full | Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci |
title_fullStr | Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci |
title_full_unstemmed | Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci |
title_short | Functional Interrogation of Enhancer Connectome Prioritizes Candidate Target Genes at Ovarian Cancer Susceptibility Loci |
title_sort | functional interrogation of enhancer connectome prioritizes candidate target genes at ovarian cancer susceptibility loci |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017555/ https://www.ncbi.nlm.nih.gov/pubmed/33815481 http://dx.doi.org/10.3389/fgene.2021.646179 |
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