TY - JOUR
T1 - Can non-HLA single nucleotide polymorphisms help stratify risk in TrialNet relatives at risk for type 1 diabetes?
AU - Type 1 Diabetes TrialNet Study Group
AU - Steck, Andrea K.
AU - Xu, Ping
AU - Geyer, Susan
AU - Redondo, Maria J.
AU - Antinozzi, Peter
AU - Wentworth, John M.
AU - Sosenko, Jay
AU - Onengut-Gumuscu, Suna
AU - Chen, Wei Min
AU - Rich, Stephen S.
AU - Pugliese, Alberto
N1 - Funding Information:
This study was sponsored by the Type 1 Diabetes TrialNet Pathway to Prevention Study Group, which is a clinical trials network funded by the NIH 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, through the cooperative agreements U01 DK061010, U01 DK061034, U01 DK061042, U01 DK061058, U01 DK085465, U01 DK085453, U01 DK085461, U01 DK085463, U01 DK085466, U01 DK085499, U01 DK085504, U01 DK085505, U01 DK085509, U01 DK103180, U01-DK103153, U01-DK085476, U01-DK103266, and the JDRF. A.K.S. was supported by the American Diabetes Association Grant 1-14-CD-17. J.M.W. was supported by aMentored Clinical Researcher Fellowship from JDRF Australia.
Publisher Copyright:
© Copyright 2017 Endocrine Society.
PY - 2017/8/1
Y1 - 2017/8/1
N2 - Context: Genome-wide association studies identified >50 type 1 diabetes (T1D) associated nonhuman leukocyte antigens (non-HLA) loci. Objective: The purpose of this study was to assess the contribution of non-HLA single nucleotide polymorphisms (SNPs) to risk of disease progression. Design and Setting: The TrialNet Pathway to Prevention Study follows relatives of T1D patients for development of autoantibodies (Abs) and T1D. Participants: Using the Immunochip, we analyzed 53 diabetes-associated, non-HLA SNPs in 1016 Abpositive, at-risk non-Hispanic white relatives. Main Outcome Measure: Effect of SNPs on the development of multiple Abs and T1D. Results: Cox proportional analyses included all substantial non-HLA SNPs, HLA genotypes, relationship to proband, sex, age at initial screening, initial Ab type, and number. Factors involved in progression from single to multiple Abs included age at screening, relationship to proband, HLA genotypes, and rs3087243 (cytotoxic T lymphocyte antigen-4). Significant factors for diabetes progression included age at screening, Ab number, HLA genotypes, rs6476839 [GLIS family zinc finger 3 (GLIS3)], and rs3184504 [SH2B adaptor protein 3 (SH2B3)]. When glucose area under the curve (AUC) was included, factors involved in disease progression included glucose AUC, age at screening, Ab number, relationship to proband, HLA genotypes, rs6476839 (GLIS3), and rs7221109 (CCR7). In stratified analyses by age, glucose AUC, age at screening, sibling, HLA genotypes, rs6476839 (GLIS3), and rs4900384 (C14orf64) were significantly associated with progression to diabetes in participants <12 years old, whereas glucose AUC, sibling, rs3184504 (SH2B3), and rs4900384 (C14orf64) were significant in those ≥12. Conclusions: In conclusion, we identified five non-HLA SNPs associated with increased risk of progression from Ab positivity to disease that may improve risk stratification for prevention trials.
AB - Context: Genome-wide association studies identified >50 type 1 diabetes (T1D) associated nonhuman leukocyte antigens (non-HLA) loci. Objective: The purpose of this study was to assess the contribution of non-HLA single nucleotide polymorphisms (SNPs) to risk of disease progression. Design and Setting: The TrialNet Pathway to Prevention Study follows relatives of T1D patients for development of autoantibodies (Abs) and T1D. Participants: Using the Immunochip, we analyzed 53 diabetes-associated, non-HLA SNPs in 1016 Abpositive, at-risk non-Hispanic white relatives. Main Outcome Measure: Effect of SNPs on the development of multiple Abs and T1D. Results: Cox proportional analyses included all substantial non-HLA SNPs, HLA genotypes, relationship to proband, sex, age at initial screening, initial Ab type, and number. Factors involved in progression from single to multiple Abs included age at screening, relationship to proband, HLA genotypes, and rs3087243 (cytotoxic T lymphocyte antigen-4). Significant factors for diabetes progression included age at screening, Ab number, HLA genotypes, rs6476839 [GLIS family zinc finger 3 (GLIS3)], and rs3184504 [SH2B adaptor protein 3 (SH2B3)]. When glucose area under the curve (AUC) was included, factors involved in disease progression included glucose AUC, age at screening, Ab number, relationship to proband, HLA genotypes, rs6476839 (GLIS3), and rs7221109 (CCR7). In stratified analyses by age, glucose AUC, age at screening, sibling, HLA genotypes, rs6476839 (GLIS3), and rs4900384 (C14orf64) were significantly associated with progression to diabetes in participants <12 years old, whereas glucose AUC, sibling, rs3184504 (SH2B3), and rs4900384 (C14orf64) were significant in those ≥12. Conclusions: In conclusion, we identified five non-HLA SNPs associated with increased risk of progression from Ab positivity to disease that may improve risk stratification for prevention trials.
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U2 - 10.1210/jc.2016-4003
DO - 10.1210/jc.2016-4003
M3 - Article
C2 - 28520980
AN - SCOPUS:85026907403
SN - 0021-972X
VL - 102
SP - 2873
EP - 2880
JO - Journal of Clinical Endocrinology and Metabolism
JF - Journal of Clinical Endocrinology and Metabolism
IS - 8
ER -