ArticleArthritis research & therapy2017
Chromatin landscapes and genetic risk for juvenile idiopathic arthritis.
Article in Arthritis research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Exploration of common genomic signatures of systemic juvenile rheumatoid arthritis and type 1 diabetes.Scientific reports · 2023Pooled it
- Article
- Functional and computational interrogation of juvenile idiopathic arthritis risk loci in CD4+ T cells.HGG advances · 2026Article
- Functional and Computational Interrogation of the Juvenile Idiopathic Arthritis Risk Loci Identifies Candidate Causal SNPs and Target Genes in CD4+ T cells.medRxiv : the preprint server for health sciences · 2025Article
- Human stem cells with in vivo high plasticity generated by cell-cell communication.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A systematic strategy for identifying causal single nucleotide polymorphisms and their target genes on Juvenile arthritis risk haplotypes.BMC medical genomics · 2024Article
- Single-Cell Sequencing in Rheumatic Diseases: New Insights from the Perspective of the Cell Type.Aging and disease · 2022Article
- Analysis of chromatin data supports a role for CD14+ monocytes/macrophages in mediating genetic risk for juvenile idiopathic arthritis.Frontiers in immunology · 2022Article
- CD4+ T cells from children with active juvenile idiopathic arthritis show altered chromatin features associated with transcriptional abnormalities.Scientific reports · 2021Article
- Review
- Article
- Immunome perturbation is present in patients with juvenile idiopathic arthritis who are in remission and will relapse upon anti-TNFα withdrawal.Annals of the rheumatic diseases · 2019Article
- Epigenetic landscapes suggest that genetic risk for intracranial aneurysm operates on the endothelium.BMC medical genomics · 2019Article
- Using Chromatin Architecture to Understand the Genetics and Transcriptomics of Juvenile Idiopathic Arthritis.Frontiers in immunology · 2018Review
- Genetic insights into juvenile idiopathic arthritis derived from deep whole genome sequencing.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe transcriptomes of peripheral blood cells in children with juvenile idiopathic arthritis (JIA) have distinct transcriptional aberrations that suggest impairment of transcriptional regulation. To gain a better understanding of this phenomenon, we studied known JIA genetic risk loci, the majority of which are located in non-coding regions, where transcription is regulated and coordinated on a genome-wide basis. We examined human neutrophils and CD4 primary T cells to identify genes and functional elements located within those risk loci.
methodsWe analyzed RNA sequencing (RNA-Seq) data, H3K27ac and H3K4me1 chromatin immunoprecipitation-sequencing (ChIP-Seq) data, and previously published chromatin interaction analysis by paired-end tag sequencing (ChIA-PET) data to characterize the chromatin landscapes within the known JIA-associated risk loci.
resultsIn both neutrophils and primary CD4+ T cells, the majority of the JIA-associated linkage disequilibrium (LD) blocks contained H3K27ac and/or H3K4me1 marks. These LD blocks were also binding sites for a small group of transcription factors, particularly in neutrophils. Furthermore, these regions showed abundant intronic and intergenic transcription in neutrophils. In neutrophils, none of the genes that were differentially expressed between untreated patients with JIA and healthy children were located within the JIA-risk LD blocks. In CD4+ T cells, multiple genes, including HLA-DQA1, HLA-DQB2, TRAF1, and IRF1 were associated with the long-distance interacting regions within the LD regions as determined from ChIA-PET data.
conclusionsThese findings suggest that genetic risk contributes to the aberrant transcriptional control observed in JIA. Furthermore, these findings demonstrate the challenges of identifying the actual causal variants within complex genomic/chromatin landscapes.
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