The University of South Florida is uniquely qualified to conduct the activities specified in this limited competition RFA.
The specific aims of this application are to establish an open competition for collaborators for Big Data analysis, including the capability to integrate data across many types, including multi-omics, diet records, clinical data, environmental analytes, and other data. The data and the data analytics tools will need to be available to TEDDY investigators using optimal means for sharing that could include a secure cloud environment. In addition, this application is intended to support the TEDDY DCC for subject follow-up in the final year of the award. The proposed Data Coordinating Center activities in year 5 include: 1) Executing the study protocol for follow-up of TEDDY study participants according to schedules and procedures contained in the study's Manual of Operations and in collaboration with the Clinical Centers at which participants are enrolled and with NIDDK staff. 2) Receiving, managing, and analyzing data obtained from the clinical centers 3). Monitoring of adherence to the research plan by conducting site visits to monitor the quality of record keeping, source documentation and the accuracy of data entry and also for overseeing data quality control. steering committee, subcommittee, and external evaluation committee meetings and workshops.4). Providing statistical support, expertise and oversight throughout the study. 5) Providing study-wide communications, dissemination of study materials such as protocols, Manual of Operations, forms or other study documents, and development and maintenance of the web site. 6) Playing a key role in the operational conduct of TEDDY, providing training and technical assistance to the Clinical Centers in performance of the follow-up assessments; assisting in protocol implementation; and working in conjunction with the Clinical Centers and NIDDK staff to oversee all aspects of Clinical Center performance, including timeliness and quality of data and biosample submission. 7) Procurement and administration of subcontracts for laboratory services, including: central human leukocyte antigen laboratory; the autoantibody laboratories, the mRNA laboratories, infectious disease laboratories, and other laboratories as needed. 8) Providing administrative and logistical support services for the TEDDY Study Group including preparation of publications, and organizing periodic meetings for the study group and subcommittees, workshops, and conference calls. 9). Transfer of all biosamples and data to the NIDDK central repositories according to a timeline developed with the NIDDK. and 10) Working closely with the Clinical Centers in a collaborative and interactive manner and serving on the Steering Committee.

Public Health Relevance

The goal of The Environmental Determinants of Diabetes in the Young Study (TEDDY) is the identification of infectious agents, dietary factors, or other environmental agents, including psychosocial factors which trigger type 1 diabetes (T1D) in genetically susceptible individuals. Identification of such factors will lead to a better understanding of disease pathogenesis and result in new strategies to prevent, delay or reverse T1D. The Coordinating Center maintains the study protocol and provides project oversight, coordination, communication, statistical analyses and capability to collect longitudinal data and results of laboratory analyses of biological specimens from individuals at risk for diabetes. The TEDDY study includes analyses of dietary biomarkers, metabolomics, gene expression and the microbiome in assessing characteristics of those developing autoimmunity, Type 1 diabetes and celiac disease. The DCC has created a data warehouse architecture and informatics support for analysis of 'omics' data sets and will expand opportunities to engage scientists outside of TEDDY to bring the best available methodologies to the analysis of this unique data resource.

Project Start
2015-08-15
Project End
2020-04-14
Budget Start
2015-08-15
Budget End
2020-04-14
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
University of South Florida
Department
Pediatrics
Type
Schools of Medicine
DUNS #
069687242
City
Tampa
State
FL
Country
United States
Zip Code
33612
Riikonen, Anne; Hadley, David; Uusitalo, Ulla et al. (2018) Milk feeding and first complementary foods during the first year of life in the TEDDY study. Matern Child Nutr 14:e12611
Elding Larsson, Helena; Lynch, Kristian F; Lönnrot, Maria et al. (2018) Pandemrix® vaccination is not associated with increased risk of islet autoimmunity or type 1 diabetes in the TEDDY study children. Diabetologia 61:193-202
Koletzko, Sibylle; Lee, Hye-Seung; Beyerlein, Andreas et al. (2018) Cesarean Section on the Risk of Celiac Disease in the Offspring: The Teddy Study. J Pediatr Gastroenterol Nutr 66:417-424
Stanfill, Bryan A; Nakayasu, Ernesto S; Bramer, Lisa M et al. (2018) Quality Control Analysis in Real-time (QC-ART): A Tool for Real-time Quality Control Assessment of Mass Spectrometry-based Proteomics Data. Mol Cell Proteomics 17:1824-1836
Hård Af Segerstad, Elin M; Lee, Hye-Seung; Andrén Aronsson, Carin et al. (2018) Daily Intake of Milk Powder and Risk of Celiac Disease in Early Childhood: A Nested Case-Control Study. Nutrients 10:
Lynch, Kristian F; Lee, Hye-Seung; Törn, Carina et al. (2018) Gestational respiratory infections interacting with offspring HLA and CTLA-4 modifies incident ?-cell autoantibodies. J Autoimmun 86:93-103
Stewart, Christopher J; Ajami, Nadim J; O'Brien, Jacqueline L et al. (2018) Temporal development of the gut microbiome in early childhood from the TEDDY study. Nature 562:583-588
Sharma, Ashok; Liu, Xiang; Hadley, David et al. (2018) Identification of non-HLA genes associated with development of islet autoimmunity and type 1 diabetes in the prospective TEDDY cohort. J Autoimmun 89:90-100
Silvis, Katherine; Aronsson, Carin A; Liu, Xiang et al. (2018) Maternal dietary supplement use and development of islet autoimmunity in the offspring: TEDDY study. Pediatr Diabetes :
Bonifacio, Ezio; Beyerlein, Andreas; Hippich, Markus et al. (2018) Genetic scores to stratify risk of developing multiple islet autoantibodies and type 1 diabetes: A prospective study in children. PLoS Med 15:e1002548

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