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Abstract Number: 168

Identification of Novel Susceptibility Loci in a Large UK Cohort of Juvenile Idiopathic Arthritis (JIA) Cases

Samantha Smith1, John Bowes1, Joanna Cobb2, Anne Hinks1, Sunil Sampath1, Annie Yarwood1, Lucy R Wedderburn3, Kimme L. Hyrich4 and Wendy Thomson1, 1Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, United Kingdom, 2NIHR Manchester Musculoskeletal Biomedical Research Unit, Manchester Academic Health Science Centre, Central Manchester Foundation Trust, Manchester, United Kingdom, 33Arthritis Research UK Centre for Adolescent Rheumatology, UCL GOS Institute of Child Health, University College London, London, United Kingdom, 4Arthritis Research UK, Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, United Kingdom

Meeting: 2017 ACR/ARHP Annual Meeting

Date of first publication: September 18, 2017

Keywords: Disease susceptibility, genetics and juvenile idiopathic arthritis (JIA), GWAS

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Session Information

Date: Sunday, November 5, 2017

Title: Genetics, Genomics and Proteomics Poster I

Session Type: ACR Poster Session A

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

Background/Purpose:

Juvenile idiopathic arthritis (JIA) is a group of chronic arthropathies of unknown cause affecting children under 16yrs, and is the most common childhood inflammatory rheumatic diagnosis, affecting 1 in 1,000 UK children. In recent years great advances in dissecting the genetic basis of JIA have been made. In one landmark study, conducted on the two most common subtypes (oligoarthritis and RF-negative polyarthritis), 17 susceptibility loci were identified at genome-wide significance (p-value<5×10-08) with a further 11 reaching suggestive significance (p-value<1×10-06). These findings were the results of a large international collaboration using the ImmunoChip array, which targets 186 known loci in 12 autoimmune diseases. However, one limitation to the afore-mentioned study was that the analysis was limited to the selected loci; large genome-wide studies are now needed.The aim of this work is to identify novel genetic loci associated with disease susceptibility using a large cohort of UK JIA cases.

Methods:

Whole-genome genotyping data was generated using four platforms (Illumina). Following stringent quality control common variants to all four platforms were extracted from the individual datasets before merging together. Imputation was performed using the Haplotype Reference Consortium panel on the Michigan Imputation Server using Minimac3 software. SNPs with imputation accuracy (r2>0.5), minor allele frequency>1% and Hardy-Weinberg p-value>1×10-03 were retained for analysis. Association was conducted using logistic regression; using the top three principal components as covariates. Bioinformatics analysis was performed using in-house Capture Hi-C data, to study long-range interactions, to elucidate the potential function of the associated SNPs.

Results:

Post-QC, 2,585 cases and 5,181 controls were available for analysis with ~7.4 million SNPs. Analysis conducted within oligoarthritis and RF-negative polyarthritis cases, (n=1,617) confirmed 13 previously identified JIA risk loci and identified more than 20 potentially novel regions above suggestive significance (2.25 x 10-05). Of these, rs7874896, an intergenic SNP located between TNFSF15 and TNFSF8 on chromosome 9 was one of the most strongly associated (p-value 3.67×10-07). TNFSF15 in particular is interesting, as it has been found that TNFSF15 drives expression of pro-inflammatory cytokines (IFNγ) and TNFα from CD4+CD161+ T-cells, yet these cells were found to be resistant treatment with an anti-TNF; suggesting that blockade of TNFSF15 may possess therapeutic benefit in JIA. Further investigation of associated SNPs using Capture Hi-C data has yielded potentially interesting interactions within T- and B-cell lines.

Conclusion:

This study represents the largest GWAS conducted in JIA to date and our preliminary results have identified novel associations with the most common subtypes of the disease and may have highlighted a potentially novel therapeutic target.


Disclosure: S. Smith, None; J. Bowes, None; J. Cobb, None; A. Hinks, None; S. Sampath, None; A. Yarwood, None; L. R. Wedderburn, None; K. L. Hyrich, None; W. Thomson, None.

To cite this abstract in AMA style:

Smith S, Bowes J, Cobb J, Hinks A, Sampath S, Yarwood A, Wedderburn LR, Hyrich KL, Thomson W. Identification of Novel Susceptibility Loci in a Large UK Cohort of Juvenile Idiopathic Arthritis (JIA) Cases [abstract]. Arthritis Rheumatol. 2017; 69 (suppl 10). https://acrabstracts.org/abstract/identification-of-novel-susceptibility-loci-in-a-large-uk-cohort-of-juvenile-idiopathic-arthritis-jia-cases/. Accessed .
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