4.7 Article

A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk

Journal

DIABETES CARE
Volume 41, Issue 9, Pages 1887-1894

Publisher

AMER DIABETES ASSOC
DOI: 10.2337/dc18-0087

Keywords

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Funding

  1. T1D TrialNet Study Group
  2. National Institutes of Health through the National Institute of Diabetes and Digestive and Kidney Diseases
  3. National Institute of Allergy and Infectious Diseases
  4. Eunice Kennedy Shriver National Institute of Child Health and Human Development [U01 DK061010, U01 DK061034, U01 DK061042, U01 DK061058, U01 DK085465, U01 DK085453, U01 DK085461, U01 DK085466, U01 DK085499, U01 DK085504]
  5. JDRF
  6. JDRF Australia Clinical Practitioner Fellowship
  7. National Health and Medical Research Council Fellowship [1078106]
  8. Diabetes UK Harry Keen Fellowship
  9. [U01 DK085509]
  10. [U01 DK103180]
  11. [U01 DK103153]
  12. [U01 DK085476]
  13. [U01 DK103266]
  14. [U01 DK103282]
  15. [U01 DK106984]
  16. [U01 DK106994]
  17. [U01 DK107013]
  18. [U01 DK107014]
  19. [UC4 DK106993]
  20. National Health and Medical Research Council of Australia [1078106] Funding Source: NHMRC
  21. MRC [MC_PC_15047] Funding Source: UKRI

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OBJECTIVEWe tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals.RESEARCH DESIGN AND METHODSWe studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients' relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2-51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial-Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables.RESULTSHigher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06-1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS >0.295, 95% CI 1.47-3.51; P = 0.0002).CONCLUSIONSThe T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.

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