Biomarker discovery study design for type 1 diabetes in The Environmental Determinants of Diabetes in the Young (TEDDY) study
Correction(s) for this article
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Corrigendum: Biomarker discovery study design for type 1 diabetes in The Environmental Determinants of Diabetes in the Young (TEDDY) study
- Volume 39Issue 7Diabetes/Metabolism Research and Reviews
- First Published online: August 30, 2023
Hye-Seung Lee
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorBrant R. Burkhardt
Department of Cell Biology, Microbiology and Molecular Biology, University of South Florida, Tampa, FL, USA
Search for more papers by this authorWendy McLeod
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorSusan Smith
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorChris Eberhard
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorKristian Lynch
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorDavid Hadley
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorMarian Rewers
Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO, USA
Search for more papers by this authorOlli Simell
Department of Pediatrics, Turku University Central Hospital, Turku, Finland
Search for more papers by this authorJin-Xiong She
Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Georgia Regents University, Augusta, GA, USA
Search for more papers by this authorBill Hagopian
Pacific Northwest Diabetes Research Institute, Seattle, WA, USA
Search for more papers by this authorAke Lernmark
Department of Clinical Sciences, Lund University, Malmo, Sweden
Search for more papers by this authorBeena Akolkar
National Institute of Diabetes & Digestive & Kidney Disorders, Bethesda, MD, USA
Search for more papers by this authorAnette G. Ziegler
Institute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V. Neuherberg, Germany
Search for more papers by this authorCorresponding Author
Jeffrey P. Krischer
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Correspondence to: Jeffrey P. Krischer, Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA.
E-mail: [email protected]
Search for more papers by this authorThe TEDDY study group
Search for more papers by this authorHye-Seung Lee
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorBrant R. Burkhardt
Department of Cell Biology, Microbiology and Molecular Biology, University of South Florida, Tampa, FL, USA
Search for more papers by this authorWendy McLeod
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorSusan Smith
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorChris Eberhard
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorKristian Lynch
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorDavid Hadley
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Search for more papers by this authorMarian Rewers
Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO, USA
Search for more papers by this authorOlli Simell
Department of Pediatrics, Turku University Central Hospital, Turku, Finland
Search for more papers by this authorJin-Xiong She
Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Georgia Regents University, Augusta, GA, USA
Search for more papers by this authorBill Hagopian
Pacific Northwest Diabetes Research Institute, Seattle, WA, USA
Search for more papers by this authorAke Lernmark
Department of Clinical Sciences, Lund University, Malmo, Sweden
Search for more papers by this authorBeena Akolkar
National Institute of Diabetes & Digestive & Kidney Disorders, Bethesda, MD, USA
Search for more papers by this authorAnette G. Ziegler
Institute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V. Neuherberg, Germany
Search for more papers by this authorCorresponding Author
Jeffrey P. Krischer
Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA
Correspondence to: Jeffrey P. Krischer, Pediatrics Epidemiology Center, Department of Pediatrics, University of South Florida, Tampa, FL, USA.
E-mail: [email protected]
Search for more papers by this authorThe TEDDY study group
Search for more papers by this authorAbstract
Aims
The 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.
Methods
This 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 conclusion
Our 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. Copyright © 2013 John Wiley & Sons, Ltd.
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