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OP0020 Identification of Multiple Sjögren’s Syndrome Susceptibility Loci
  1. C. J. Lessard1,2,
  2. H. Li1,2,
  3. J. A. Ice2,
  4. I. Adrianto2,
  5. R. Jonsson3,
  6. G. G. Illei4,
  7. M. Rischmueller5,
  8. G. Nordmark6,
  9. X. Mariette7,
  10. C. Miceli-Richard7,
  11. M. Wahren Herlenius8,
  12. T. Witte9,
  13. M. Brennan10,
  14. R. Omdal3,
  15. P. M. Gaffney2,
  16. J. A. Lessard11,
  17. L. Rönnblom6,
  18. W.-F. Ng12,
  19. N. Rhodus13,
  20. B. Segal14,
  21. R. H. Scofield2,15,16,
  22. J. A. James1,2,16,
  23. J.-M. Anaya17,
  24. C. G. Montgomery2,
  25. J. B. Harley18,
  26. K. Moser Sivils1,2
  1. 1Department of Pathology, University of Oklahoma Health Sciences Center
  2. 2Arthritis and Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, United States
  3. 3University of Bergen, Bergen, Norway
  4. 4National Institute of Dental and Craniofacial Research, NIH, Bethesda, United States
  5. 5The Queen Elizabeth Hospital and Health Service, Adelaide, Australia
  6. 6Uppsala University, Uppsala, Sweden
  7. 7Université Paris-Sud, Paris, France
  8. 8Department of Medicine, Karolinska Institutet, Stockholm, Sweden
  9. 9Hannover Medical School, Hanover, Germany
  10. 10Carolinas Medical Center, Charlotte
  11. 11Valley Bone and Joint Clinic, Grand Forks, United States
  12. 12Newcastle University, Newcastle-upon-Tyne, United Kingdom
  13. 13University of Minnesota
  14. 14Hennepin County Medical Center, Minneapolis
  15. 15US Department of Veterans Affairs Medical Center
  16. 16Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, United States
  17. 17Center for Autoimmune Diseases Research (CREA), Universidad del Rosario, Bogota, Colombia
  18. 18Cincinnati Children’s Hospital Medical Center, Cincinnati, United States

Abstract

Background Sjögren’s syndrome (SS) is a common, clinically heterogeneous autoimmune disease characterized by exocrine gland dysfunction that involves both innate and adaptive immune responses. A complex genetic architecture has been hypothesized; however, genetic studies to date have been limited to candidate gene approaches.

Objectives We sought to perform the first genome-wide association scan (GWAS) in an unbiased manner to identify SS risk loci.

Methods We used high-density Illumina OMNI1-Quad genotyping arrays in a discovery cohort of 395 European-derived SS cases and 1975 healthy controls for the GWAS discovery phase. Stringent quality control (QC) criteria, adjustments for population stratification, and standard GWA statistical methods were used to compare allele frequencies between cases and controls. For replication, an independent set of 1243 SS cases and 4779 healthy controls were genotyped using 2 custom array (CA) platforms. Meta-analysis between the GWAS and CAs were done using METAL (Pmeta).

Results The most significantly associated region with SS was the MHC, with 6324 overlapping SNPs between the GWAS and CAs exceeding the genome-wide significance (GWS) threshold of P<5x10E-8 after imputation, peaking at HLA-DQB1 with Pmeta=7.65x10E-114. This study also identified 3 novel associations not previously reported as risk loci for SS. In the region of IL12A, 7 variants passed GWS, peaking at rs485497 (Pmeta=1.17x10E-10). Near CXCR5, 4 variants exceeded GWS with rs7119038 (Pmeta=1.10x10E-8) the most significant. One variant, rs6579837 (Pmeta=3.30x10E-8), in TNIP1 also surpassed GWS. Three regions previously implicated were now identified as surpassing GWS for the first time in the current study: IRF5 (rs3757387 Pmeta=2.73x10E-19), STAT4 (rs10553577 Pmeta=6.80x10E-15), and BLK (rs2736345 Pmeta=4.97x10E-10).

Conclusions We present the first GWAS of SS identifying and confirming IL12A, CXCR5, and TNIP1 as novel susceptibility loci. We also observed IRF5, STAT4, and BLK for the first time at GWS establishing them as risk loci for SS. Collectively these genes illustrate the importance of both the innate and adaptive immune responses in the etiology of SS.

Disclosure of Interest None Declared

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