4.8 Article

Transancestral mapping and genetic load in systemic lupus erythematosus

Journal

NATURE COMMUNICATIONS
Volume 8, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/ncomms16021

Keywords

-

Funding

  1. Alliance for Lupus Research
  2. Arthritis Research UK Special Strategic Award [19289]
  3. George Koukis
  4. National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust
  5. King's College London
  6. NIH [AR049084]
  7. International Consortium on the Genetics of Systemic Lupus Erythematosus (SLEGEN) [AI083194, CA141700, AR058621]
  8. Proyecto de Excelencia
  9. Consejeria de Andalucia
  10. MUSC [UL1RR029882, 5P60AR062755]
  11. US National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health (NIH) [K01 AR067280, P60 AR062755, N01AR22265]
  12. APPLE Investigators
  13. NIAMS/NIH [P50-AR055503]
  14. RILITE foundation
  15. Genentech
  16. [AR043814]
  17. [AR-065626]
  18. [AR060366]
  19. [MD007909]
  20. [AI107176]
  21. [AR-057172]
  22. [RC2 AR058959]
  23. [U19 A1082714]
  24. [R01 AR063124]
  25. [P30 GM110766]
  26. [R01 AR056360]
  27. [P60 AR053308]
  28. [R01AR43727]
  29. [NIH AR 043727]
  30. [069572]

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Systemic lupus erythematosus (SLE) is an autoimmune disease with marked gender and ethnic disparities. We report a large transancestral association study of SLE using Immunochip genotype data from 27,574 individuals of European (EA), African (AA) and Hispanic Amerindian (HA) ancestry. We identify 58 distinct non-HLA regions in EA, 9 in AA and 16 in HA (similar to 50% of these regions have multiple independent associations); these include 24 novel SLE regions (P < 5 x 10(-8)), refined association signals in established regions, extended associations to additional ancestries, and a disentangled complex HLA multigenic effect. The risk allele count (genetic load) exhibits an accelerating pattern of SLE risk, leading us to posit a cumulative hit hypothesis for autoimmune disease. Comparing results across the three ancestries identifies both ancestry-dependent and ancestry-independent contributions to SLE risk. Our results are consistent with the unique and complex histories of the populations sampled, and collectively help clarify the genetic architecture and ethnic disparities in SLE.

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