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Abstract Number: 2011

Juvenile Arthritis-Associated Single Nucleotide Polymorphisms Identified on Whole Genome Sequencing Show Enrichment within H3K9me3-Marked Regions

Shannon O'Leary1, Evan Tarbell2, Kaiyu Jiang3, Tao Liu1,4 and James Jarvis5,6, 1Genetics, Genomics, & Bioinformatics Program, University at Buffalo Jacobs School of Medicine & Biomedical Sciences, Buffalo, NY, 2Biochemistry, University at Buffalo, Buffalo, NY, 3Pediatrics, University at Buffalo, Buffalo, NY, 4Biochemistry, University at Buffalo Jacobs School of Medicine, Buffalo, NY, 5University at Buffalo Jacobs School of Medicine & Biomedical Sciences, Genetics, Genomics, & Bioinformatics Program, Buffalo, NY, 6Pediatrics, University at Buffalo Jacobs School of Medicine & Biomedical Sciences, Buffalo, NY

Meeting: 2018 ACR/ARHP Annual Meeting

Keywords: Epigenetics, genetic architecture and juvenile arthritis

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Session Information

Date: Tuesday, October 23, 2018

Title: Pediatric Rheumatology – Basic Science Poster

Session Type: ACR Poster Session C

Session Time: 9:00AM-11:00AM

Background/Purpose: We have found extensive alterations in chromatin accessibility when the CD4+ T cells of children with active polyarticular juvenile idiopathic arthritis (JIA) are compared with cells from healthy children (HC). These differences in chromatin accessibility are strongly linked to differences in transcription. We therefore sought to determine the extent to which chromatin re-organization in JIA CD4+ T cells is influenced by underlying genetic variation.

Methods: Using our previously published whole genome sequencing data from 48 JIA patients, we identified common SNPs that: (1) were found in all JIA patients and (2) had not been identified previously. We categorized the SNPs as loss (LoF) or gain of function (GoF), based on their likely contributions to the regulatory network of CD4+ T cells, using ATAC-seq data to identify regulatory sequences. Using data from the 1000 genomes project, we identified the SNPs that were in linkage disequilibrium with our predicted LoF and GoF SNPs to identify a set of haplotype blocks. Using data from the ENCODE and RoadMap epigenomics projects, we looked for statistical enrichment for informative histone modifications in myeloid and lymphoid cell lines within these haplotype blocks.

Results:

Results Each of the queried cell lines showed significant enrichment for specific histone marks within the haplotypes of interest. However, findings were most significant within CD4+ T cell subsets, and specifically for histone marks regulating chromatin accessibility. For example, H3K9me3 is a histone mark that is required to maintain chromatin in a condensed state and maintain the identity of terminally differentiated cells. Regions associated with predicted loss of function SNPs were highly enriched for H3K9me3 in CD3+ (p=7.13E-81), CD4+ (p=7.11E-23) and CD8+ T (p=9.67E-37) cell subsets. Predicted gain of function regions were enriched for H3K4me1 marks, an epigenetic signature of poised enhancer function.

Conclusion: We identified novel, predicted genetic risk loci for JIA and identified a strong enrichment for H3K9me3 in T cell subsets. This enrichment was much stronger for regions predicted to be loss of function compared to gain of function. We hypothesize that these genetic variants may alter H3K9me3 localization in JIA, altering the chromatin landscape and leading to the misregulation of transcription.


Disclosure: S. O'Leary, None; E. Tarbell, None; K. Jiang, None; T. Liu, None; J. Jarvis, None.

To cite this abstract in AMA style:

O'Leary S, Tarbell E, Jiang K, Liu T, Jarvis J. Juvenile Arthritis-Associated Single Nucleotide Polymorphisms Identified on Whole Genome Sequencing Show Enrichment within H3K9me3-Marked Regions [abstract]. Arthritis Rheumatol. 2018; 70 (suppl 9). https://acrabstracts.org/abstract/juvenile-arthritis-associated-single-nucleotide-polymorphisms-identified-on-whole-genome-sequencing-show-enrichment-within-h3k9me3-marked-regions/. Accessed .
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