4.8 Article

Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes

Journal

NATURE GENETICS
Volume 53, Issue 7, Pages 962-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41588-021-00880-5

Keywords

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Funding

  1. NIDDK [DP3 DK111906, R01 DK115694, U01 DK103282, U01 DK127404]
  2. National Institute of Allergy and Infectious Diseases (NIAID)
  3. National Human Genome Research Institute (NHGRI)
  4. National Institute of Child Health and Human Development (NICHD)
  5. Juvenile Diabetes Research Foundation (JDRF)
  6. Wellcome Trust [107212/A/15/Z]
  7. Health Data Research UK
  8. NIHR Oxford Biomedical Research Centre
  9. Wellcome Core Award [203141/Z/16/Z]
  10. US National Library of Medicine [T32 LM012416]
  11. Wagner Fellowship from the UVA
  12. Economic and Social Research Council [ES/M001660/1]
  13. Medical Research Council 58READIE Project [WT095219MA, G1001799]
  14. NIHR Cambridge Biomedical Research Centre
  15. NIH Office of the Director [N01-AR-0-2247, N01-AR-6-2278]
  16. Kaiser Permanente Southern California [U48/CCU919219, U01 DP000246, U18DP002714]
  17. University of Colorado Denver [U48/CCU819241-3, U01 DP000247, U18DP000247-06A1]
  18. Children's Hospital Medical Center (Cincinnati) [U48/CCU519239, U01 DP000248, 1U18DP002709]
  19. University of North Carolina at Chapel Hill [U48/CCU419249, U01 DP000254, U18DP002708]
  20. University of Washington School of Medicine [U58/CCU019235-4, U01 DP000244, U18DP002710-01]
  21. Wake Forest University School of Medicine [U48/CCU919219, U01 DP000250, 200-2010-35171]
  22. TrialNet group
  23. NIH through the NIDDK [U01 DK061010, U01 DK061016, U01 DK061034, U01 DK061036, U01 DK061040, U01 DK061041, U01 DK061042, U01 DK061055, U01 DK061058, U01 DK084565, U01 DK085453, U01 DK085461, U01 DK085463, U01 DK085466, U01 DK085499, U01 DK085505, U01 DK085509]
  24. NIH through the NIAID [U01 DK061010, U01 DK061016, U01 DK061034, U01 DK061036, U01 DK061040, U01 DK061041, U01 DK061042, U01 DK061055, U01 DK061058, U01 DK084565, U01 DK085453, U01 DK085461, U01 DK085463, U01 DK085466, U01 DK085499, U01 DK085505, U01 DK085509]
  25. NIH through the Eunice Kennedy Shriver National Institute of Child Health and Human Development [U01 DK061010, U01 DK061016, U01 DK061034, U01 DK061036, U01 DK061040, U01 DK061041, U01 DK061042, U01 DK061055, U01 DK061058, U01 DK084565, U01 DK085453, U01 DK085461, U01 DK085463, U01 DK085466, U01 DK085499, U01 DK085505, U01 DK085509]
  26. NIH NIDDK [DRC P30 DK116073, R01 DK032493]
  27. National Multiple Sclerosis Society [SI-2001-35701]
  28. NHGRI Center for Common Disease Genomics award [UM1 HG008853]
  29. NHLBI
  30. TOPMed Informatics Research Center at the University of Michigan [3R01HL-117626-02S1, HHSN268201800002I]
  31. TOPMed Data Coordinating Center [3R01HL-120393-02S1, HHSN268201800001I]
  32. NIAID [P01 AI042288]
  33. JDRF [4-SRA-2017-473-A-A]
  34. Wellcome: 58FORWARDS grant [108439/Z/15/Z]
  35. [U01 DK062418]
  36. [P01-AR49084]
  37. [UL1-TR001417]
  38. [UL1-TR003096]
  39. Wellcome Trust [108439/Z/15/Z] Funding Source: Wellcome Trust

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A large-scale genetic analysis of type 1 diabetes identifies new susceptibility variants, highlights potential regulatory mechanisms, and provides genetic support for therapeutic targets for immune intervention.
We report the largest and most diverse genetic study of type 1 diabetes (T1D) to date (61,427 participants), yielding 78 genome-wide-significant (P < 5 x 10(-8)) regions, including 36 that are new. We define credible sets of T1D-associated variants and show that they are enriched in immune-cell accessible chromatin, particularly CD4(+) effector T cells. Using chromatin-accessibility profiling of CD4(+) T cells from 115 individuals, we map chromatin-accessibility quantitative trait loci and identify five regions where T1D risk variants co-localize with chromatin-accessibility quantitative trait loci. We highlight rs72928038 in BACH2 as a candidate causal T1D variant leading to decreased enhancer accessibility and BACH2 expression in T cells. Finally, we prioritize potential drug targets by integrating genetic evidence, functional genomic maps and immune protein-protein interactions, identifying 12 genes implicated in T1D that have been targeted in clinical trials for autoimmune diseases. These findings provide an expanded genomic landscape for T1D. A large-scale genetic analysis of type 1 diabetes identifies new susceptibility variants, highlights potential regulatory mechanisms and provides genetic support for therapeutic targets for immune intervention.

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