ArticleJournal of autoimmunity2018
Identification of non-HLA genes associated with development of islet autoimmunity and type 1 diabetes in the prospective TEDDY cohort.
Article in Journal of autoimmunity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
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Who cites it
40 citing papers in PubMed, 68 citations in OpenAlex.
- Oral insulin immunotherapy in children at risk for type 1 diabetes in a randomised controlled trial.Diabetologia · 2021Trial
- Gut microbiome maturation in early childhood interacts with host genetics to predict type 1 diabetes risk.Nature metabolism · 2026Article
- Family history of type 2 diabetes delays development of type 1 diabetes in TEDDY children with islet autoimmunity.Diabetologia · 2026Observational
- Article
- From Human to Mouse and Back Again: Genetic and Genomic Ta(i)les of Islet Dysfunction in Type 2 Diabetes.Annual review of genetics · 2025Review
- Unfolding the Mystery of Autoimmunity: The Environmental Determinants of Diabetes in the Young (TEDDY) Study.Diabetes care · 2025Review
- Type 1 Diabetes Genetics Consortium.The Journal of clinical endocrinology and metabolism · 2025Review
- Genetic Associations With C-peptide Levels Before Type 1 Diabetes Diagnosis in At-risk Relatives.The Journal of clinical endocrinology and metabolism · 2025Article
- The stage- and subgroup-specific impact of non-HLA polymorphisms on preclinical type 1 diabetes progression.Heliyon · 2025Article
- Article
- A functional variant rs912304 for late-onset T1D risk contributes to islet dysfunction by regulating proinflammatory cytokine-responsive gene STXBP6 expression.BMC medicine · 2024Article
- Genetic interactions and pleiotropy in metabolic diseases: Insights from a comprehensive GWAS analysis.Journal of cellular and molecular medicine · 2024Article
- Research progress of autoimmune diseases based on induced pluripotent stem cells.Frontiers in immunology · 2024Review
- Gastrointestinal Infections Modulate the Risk for Insulin Autoantibodies as the First-Appearing Autoantibody in the TEDDY Study.Diabetes care · 2023Article
- A genome-wide cross-trait analysis identifies genomic correlation, pleiotropic loci, and causal relationship between sex hormone-binding globulin and rheumatoid arthritis.Human genomics · 2023Observational
- Possible heterogeneity of initial pancreatic islet beta-cell autoimmunity heralding type 1 diabetes.Journal of internal medicine · 2023Review
- Article
- Shared genetic architecture of COVID-19 and Alzheimer's disease.Frontiers in aging neuroscience · 2023Review
- The longitudinal loss of islet autoantibody responses from diagnosis of type 1 diabetes occurs progressively over follow-up and is determined by low autoantibody titres, early-onset, and genetic variants.Clinical and experimental immunology · 2022Article
- Deciphering the link between Diabetes mellitus and SARS-CoV-2 infection through differential targeting of microRNAs in the human pancreas.Journal of endocrinological investigation · 2022Article
Corrections and comments
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Authors and funding
18 authors at 10 institutions in 5 countries.
Funding
Abstract
Traditional linkage analysis and genome-wide association studies have identified HLA and a number of non-HLA genes as genetic factors for islet autoimmunity (IA) and type 1 diabetes (T1D). However, the relative risk associated with previously identified non-HLA genes is usually very small as measured in cases/controls from mixed populations. Genetic associations for IA and T1D may be more accurately assessed in prospective cohorts. In this study, 5806 subjects from the TEDDY (The Environmental Determinants of Diabetes in the Young) study, an international prospective cohort study, were genotyped for 176,586 SNPs on the ImmunoChip. Cox proportional hazards analyses were performed to discover the SNPs associated with the risk for IA, T1D, or both. Three regions were associated with the risk of developing any persistent confirmed islet autoantibody: one known region near SH2B3 (HR = 1.35, p = 3.58 × 10
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