ArticleDiabetes/metabolism research and reviews2014
Biomarker discovery study design for type 1 diabetes in The Environmental Determinants of Diabetes in the Young (TEDDY) study.
Article in Diabetes/metabolism research and reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 43 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
43 citing papers in PubMed, 63 citations in OpenAlex.
- Gut microbiome maturation in early childhood interacts with host genetics to predict type 1 diabetes risk.Nature metabolism · 2026Article
- Retinol, Carotenoid, and Tocopherol Intake and Status, and the Risk of Islet Autoimmunity and Type 1 Diabetes: The Environmental Determinants of Diabetes in the Young Study.Diabetes/metabolism research and reviews · 2026Article
- Joint modeling of longitudinal biomarker and survival outcomes with the presence of competing risk in the nested case-control studies with application to the TEDDY microbiome dataset.Bioinformatics (Oxford, England) · 2026Article
- Looking back at the TEDDY study: lessons and future directions.Nature reviews. Endocrinology · 2025Review
- Data from a multi-year targeted proteomics study of a longitudinal birth cohort of type 1 diabetes.Scientific data · 2025Article
- DNEA: an R package for fast and versatile data-driven network analysis of metabolomics data.BMC bioinformatics · 2024Article
- Patterns and Determinants of Micronutrient Dietary Biomarkers and Their Associations with Dietary Intakes in Young Children.The Journal of nutrition · 2024Article
- Interpretable GWAS by linking clinical phenotypes to quantifiable immune repertoire components.Communications biology · 2024Article
- Protocol for a nested case-control study design for omics investigations in the Environmental Determinants of Islet Autoimmunity cohort.Annals of medicine · 2023Article
- Distinct transcriptomic profiles in children prior to the appearance of type 1 diabetes-linked islet autoantibodies and following enterovirus infection.Nature communications · 2023Article
- Plasma protein biomarkers predict the development of persistent autoantibodies and type 1 diabetes 6 months prior to the onset of autoimmunity.Cell reports. Medicine · 2023Article
- Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals.Journal of biomedical informatics · 2023Article
- A robust and transformation-free joint model with matching and regularization for metagenomic trajectory and disease onset.BMC genomics · 2022Observational
- Microbial risk score for capturing microbial characteristics, integrating multi-omics data, and predicting disease risk.Microbiome · 2022Article
- Integration of Infant Metabolite, Genetic, and Islet Autoimmunity Signatures to Predict Type 1 Diabetes by Age 6 Years.The Journal of clinical endocrinology and metabolism · 2022Article
- Microbial Risk Score for Capturing Microbial Characteristics, Integrating Multi-omics Data, and Predicting Disease Risk.bioRxiv : the preprint server for biology · 2022Article
- Temporal changes in gastrointestinal fungi and the risk of autoimmunity during early childhood: the TEDDY study.Nature communications · 2022Article
- Telomere length is not a main factor for the development of islet autoimmunity and type 1 diabetes in the TEDDY study.Scientific reports · 2022Article
- Building Robust Assemblages of Bacteria in the Human Gut in Early Life.Applied and environmental microbiology · 2021Review
- Characteristics of children diagnosed with type 1 diabetes before vs after 6 years of age in the TEDDY cohort study.Diabetologia · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
16 authors at 8 institutions in 4 countries.
Funding
Abstract
aimsThe Environmental Determinants of Diabetes in the Young planned biomarker discovery studies on longitudinal samples for persistent confirmed islet cell autoantibodies and type 1 diabetes using dietary biomarkers, metabolomics, microbiome/viral metagenomics and gene expression.
methodsThis article describes the details of planning The Environmental Determinants of Diabetes in the Young biomarker discovery studies using a nested case-control design that was chosen as an alternative to the full cohort analysis. In the frame of a nested case-control design, it guides the choice of matching factors, selection of controls, preparation of external quality control samples and reduction of batch effects along with proper sample allocation. RESULTS AND
conclusionOur design is to reduce potential bias and retain study power while reducing the costs by limiting the numbers of samples requiring laboratory analyses. It also covers two primary end points (the occurrence of diabetes-related autoantibodies and the diagnosis of type 1 diabetes). The resulting list of case-control matched samples for each laboratory was augmented with external quality control samples.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.