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dc.contributor.authorRedondo, MJ
dc.contributor.authorGeyer, S
dc.contributor.authorSteck, AK
dc.contributor.authorSharp, S
dc.contributor.authorWentworth, JM
dc.contributor.authorWeedon, MN
dc.contributor.authorAntinozzi, P
dc.contributor.authorSosenko, J
dc.contributor.authorAtkinson, M
dc.contributor.authorPugliese, A
dc.contributor.authorOram, RA
dc.date.accessioned2018-09-07T09:17:57Z
dc.date.issued2018-08-22
dc.description.abstractOBJECTIVE We 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 METHODS We 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. RESULTS Higher 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). CONCLUSIONS The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.en_GB
dc.description.sponsorshipThe sponsor of the trial was the T1D TrialNet Study Group, which is a clinical trials network funded by the National Institutes of Health through the National Institute of Diabetes and Digestive and Kidney Diseases, the National Institute of Allergy and Infectious Diseases, and the Eunice Kennedy Shriver National Institute of Child Health and Human Development (cooperative agreements U01 DK061010, U01 DK061034, U01 DK061042, U01 DK061058, U01 DK085465, U01 DK085453, U01 DK085461, U01 DK085466, U01 DK085499, U01 DK085504, U01 DK085509, U01 DK103180, U01 DK103153, U01 DK085476, U01 DK103266, U01 DK103282, U01 DK106984, U01 DK106994, U01 DK107013, U01 DK107014, and UC4 DK106993) and JDRF. J.M.W. was funded by a JDRF Australia Clinical Practitioner Fellowship and National Health and Medical Research Council Fellowship 1078106. R.A.O. was funded by the Diabetes UK Harry Keen Fellowship.en_GB
dc.identifier.citationVol. 41 (9), pp. 1887-1894en_GB
dc.identifier.doi10.2337/dc18-0087
dc.identifier.urihttp://hdl.handle.net/10871/33944
dc.language.isoenen_GB
dc.publisherAmerican Diabetes Associationen_GB
dc.rights© 2018 by the American Diabetes Association.en_GB
dc.titleA Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risken_GB
dc.typeArticleen_GB
dc.date.available2018-09-07T09:17:57Z
dc.identifier.issn0149-5992
dc.descriptionThis is the author accepted manuscript. The final version is available from American Diabetes Association via the DOI in this recorden_GB
dc.identifier.journalDiabetes Careen_GB


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