Can non-HLA single nucleotide polymorphisms help stratify risk in TrialNet relatives at risk for type 1 diabetes?

Type 1 Diabetes TrialNet Study Group

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2873-2880
Number of pages8
JournalJournal of Clinical Endocrinology and Metabolism
Volume102
Issue number8
DOIs
StatePublished - Aug 1 2017

Fingerprint

Medical problems
HLA Antigens
Polymorphism
Type 1 Diabetes Mellitus
Single Nucleotide Polymorphism
Nucleotides
Genotype
Area Under Curve
Screening
Autoantibodies
Glucose
Disease Progression
Siblings
CTLA-4 Antigen
Genome-Wide Association Study
Zinc Fingers
Proteins
Outcome Assessment (Health Care)
Zinc
Genes

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Endocrinology
  • Clinical Biochemistry
  • Biochemistry, medical

Cite this

Can non-HLA single nucleotide polymorphisms help stratify risk in TrialNet relatives at risk for type 1 diabetes? / Type 1 Diabetes TrialNet Study Group.

In: Journal of Clinical Endocrinology and Metabolism, Vol. 102, No. 8, 01.08.2017, p. 2873-2880.

Research output: Contribution to journalArticle

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title = "Can non-HLA single nucleotide polymorphisms help stratify risk in TrialNet relatives at risk for type 1 diabetes?",
abstract = "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.",
author = "{Type 1 Diabetes TrialNet Study Group} and Steck, {Andrea K.} and Ping Xu and Susan Geyer and Redondo, {Maria J.} and Peter Antinozzi and Wentworth, {John M.} and Sosenko, {Jay M} and Suna Onengut-Gumuscu and Chen, {Wei Min} and Rich, {Stephen S.} and Alberto Pugliese",
year = "2017",
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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 M

AU - Onengut-Gumuscu, Suna

AU - Chen, Wei Min

AU - Rich, Stephen S.

AU - Pugliese, Alberto

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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