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OP0122 Fine Mapping of the CHR 22Q13.1 Juvenile Idiopathic Arthritis Risk Locus
  1. H. Moncrieffe1,
  2. A. Lele1,
  3. K.A. Shams1,
  4. B.E. Levy1,
  5. M. Marion2,
  6. M. Sudman1,
  7. L. Brungs1,
  8. J. Cobb3,
  9. A. Hinks3,
  10. J. Bohnsack4,
  11. L.R. Wedderburn5,
  12. J.-P. Haas6,
  13. V. Videm7,
  14. M. Rygg7,
  15. E. Nordal8,
  16. R.S. Yeung9,
  17. M.T. Weirauch1,
  18. L.C. Kottyan1,
  19. S. Prahalad10,
  20. C.D. Langefeld2,
  21. W. Thomson3,
  22. S.D. Thompson1
  23. on behalf of Juvenile Arthritis Consortium for Immunochip
  1. 1Center for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
  2. 2Center for Public Health Genomics and Department of Biostatistical Sciences, Wake Forest University School of Medicine, Wake Forest, United States
  3. 3Arthritis Research UK Centre for Genetics and Genomics, University Of Manchester, Manchester, United Kingdom
  4. 4Pediatric Rheumatology, University of Utah Health Sciences Center, Utah, United States
  5. 5Institute of Child Health, University College London, London, United Kingdom
  6. 6German Centre for Rheumatology in Children and Young People, Garmisch-Partenkirchen, Germany
  7. 7Norwegian University of Science and Technology and St. Olavs University Hospital, Trondheim
  8. 8University Hospital of North Norway, Tromsø, Norway
  9. 9The Hospital for Sick Children and University of Toronto, Toronto, Canada
  10. 10Department of Pediatrics, Emory University School of Medicine, Atlanta, United States


Background Juvenile Idiopathic Arthritis (JIA) patients have arthritis onset of unknown cause that lasts >6 weeks in the inflamed joints of children younger than 16 years. JIA is a complex genetic trait with established increased familial risk and robustly replicated genetic associations (e.g. HLA, PTPN2). Multiple single nucleotide polymorphisms (SNPs) in the 22q13.1 locus have reached genome-wide significance in recent genetic association studies using the Immunochip. The 22q13.1 locus contains both IL2RB and RAC2 which are attractive candidates to influence JIA pathology and have respective roles in IL-2 signaling and cell migration.

Objectives To identify the statistically, bioinformatically and experimentally most plausible causal SNPs associated with risk of JIA in the 22q13 region.

Methods We fine mapped the 22q13.1 locus using data from large scale genotyping projects of a European ancestry cohort of subjects with (3,905) and without JIA (14,388) to predict variants most likely causal at the 22q13.1 locus. Logistic regression conditional analysis was used to define regions of association followed by Bayesian analysis to define variants with large posterior probabilities. Transcription factor binding predictions were used to identify variants for experimental testing by electrophoretic mobility shift assay (EMSA). We limited our investigation to polyarticular RF- and oligoarticular JIA cases to reduce phenotypic heterogeneity.

Results Conditional analyses showed independent associations to JIA in both the IL2RB and RAC2 loci. We identified two SNPs that can account for all of the JIA genetic association in this region. Using a Bayesian analysis we identified the SNPs that explained 95% of the posterior probability in the region and are the most likely to be causal. Altered nuclear extract binding was observed with risk and non-risk alleles in the IL2RB locus but not RAC2. These experimental data are consistent with the predicted alteration in transcription factor binding.

Conclusions Polymorphic variants in the RAC2 and the nearby IL2RB locus are independent JIA risk loci. Use of the statistical and bioinformatics approach to produce candidates for laboratory validation is an important strategy in defining the function of risk variants in JIA.

Disclosure of Interest None declared

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