4.7 Article

Fine Mapping Seronegative and Seropositive Rheumatoid Arthritis to Shared and Distinct HLA Alleles by Adjusting for the Effects of Heterogeneity

期刊

AMERICAN JOURNAL OF HUMAN GENETICS
卷 94, 期 4, 页码 522-532

出版社

CELL PRESS
DOI: 10.1016/j.ajhg.2014.02.013

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资金

  1. National Institutes of Health [K08AR055688, 1R01AR062886-01, 1R01AR063759-01A1, 5U01GM092691-04]
  2. Arthritis Foundation
  3. Doris Duke Foundation
  4. Be the Cure For Rheumatoid Arthritis grant
  5. Innovative Medicine Initiative program from the European Union
  6. National Institute of Diabetes and Digestive and Kidney Diseases
  7. National Institute of Allergy and Infectious Diseases
  8. National Human Genome Research Institute
  9. National Institute of Child Health and Human Development
  10. Juvenile Diabetes Research Foundation International
  11. Dutch Reumafonds [11-1-101]
  12. Rosalind Franklin Fellowship from the University of Groningen (the Netherlands)
  13. Rheumatoid Arthritis International Consortium
  14. Netherlands Organization for Scientific Research [016.126.354]
  15. Red de Investigacion en Inflamacion y Enfermedades Reumaticas of the Redes Tematicas de Investigacion Cooperativa en Salud from the Instituto de Salud Carlos III Health Ministry (Spain) [RD12/0009]

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Despite progress in defining human leukocyte antigen (HLA) alleles for anti-citrullinated-protein-autoantibody-positive (ACPA(+)) rheumatoid arthritis (RA), identifying HLA alleles for ACPA-negative (ACPA(-)) RA has been challenging because of clinical heterogeneity within clinical cohorts. We imputed 8,961 classical HLA alleles, amino acids, and SNPs from Immunochip data in a discovery set of 2,406 ACPA(-) RA case and 13,930 control individuals. We developed a statistical approach to identify and adjust for clinical heterogeneity within ACPA RA and observed independent associations for serine and leucine at position 11 in HLA-DR beta 1 (p = 1.4 x 10 (13), odds ratio [OR] = 1.30) and for aspartate at position 9 in HLA-B (p = 2.7 x 10(-12), OR = 1.39) within the peptide binding grooves. These amino acid positions induced associations at HLA-DRB1*03 (encoding serine at 11) and HLA-B*08 (encoding aspartate at 9). We validated these findings in an independent set of 427 ACPA(-) case subjects, carefully phenotyped with a highly sensitive ACPA assay, and 1,691 control subjects (HLA-DR beta 1 Ser11+Leu11: p = 5.8 x 10(-4), OR = 1.28; HLA-B Asp9: p = 2.6 x 10(-3), OR = 1.34). Although both amino acid sites drove risk of ACPA(+) and ACPA(-) disease, the effects of individual residues at HLA-DR beta 1 position 11 were distinct (p < 2.9 x 10(-107)). We also identified an association with ACPA(+) RA at HLA-A position 77 (p = 2.7 x 10(-8), OR = 0.85) in 7,279 ACPA(+) RA case and 15,870 control subjects. These results contribute to mounting evidence that ACPA(+) and ACPA(-) RA are genetically distinct and potentially have separate autoantigens contributing to pathogenesis. We expect that our approach might have broad applications in analyzing clinical conditions with heterogeneity at both major histocompatibility complex (MHC) and non-MHC regions.

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