This application seeks support to establish a Data Coordinating Center (DCC) for the Consortium for Identification of Environmental Triggers of Type 1 Diabetes. The DCC will play an active role in the development of study protocols and the data management and analysis necessary to support them. Working with the Clinical Centers, the DCC will provide expertise regarding alternative study designs to achieve stated objectives. It is conceivable that case-control, case-case and cohort designs may all be considered to address certain objectives in at risk populations. Issues regarding matching and the selection of controls, as well as the logistics of recruitment and retention are all salient to decisions regarding feasible study development, design and implementation. The DCC proposes to be active on the Consortium Steering Committee and work closely with CC directors to establish the protocol(s) to be followed. The DCC will develop subcontracts for central laboratories and monitor their performance. The DCC proposes to develop a comprehensive Manual of Operations to serve as a reference document for all Consortium members. The manual will provide key definitions and procedures for recruitment, retention, laboratory measurements, training, data acquisition and flow. A Consortium web site will be established. It will contain the Manual of Operations along with current versions of all study data forms and approved study protocol(s). The web site will provide both the ability to collect data on-line and also a study management area that contains key study documents and committee reports. Within the Manual of Operations web page, it is possible to access the entire manual as a single document, access each section independently, or search for key words. Each section of the manual is dated so that study participants can identify the correct version of the manual and keep track as to when modifications are made. In this way, the most current manual (as well as protocol and data collection forms) is available to the entire Consortium. The DCC will also develop a Manual of Operations for its own internal functioning as it has for both the Diabetes Prevention Trial-1 and the international TRIGR study. This version will document all DCC procedures for data collection, transfer, quality control and data management and reporting.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Research Project--Cooperative Agreements (U01)
Project #
7U01DK063790-03
Application #
6804534
Study Section
Special Emphasis Panel (ZDK1-GRB-8 (O2))
Program Officer
Akolkar, Beena
Project Start
2002-09-30
Project End
2007-08-31
Budget Start
2004-09-01
Budget End
2005-08-31
Support Year
3
Fiscal Year
2004
Total Cost
$11,365,000
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
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
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 :
Vatanen, Tommi; Franzosa, Eric A; Schwager, Randall et al. (2018) The human gut microbiome in early-onset type 1 diabetes from the TEDDY study. Nature 562:589-594
Salami, Falastin; Lee, Hye-Seung; Freyhult, Eva et al. (2018) Reduction in White Blood Cell, Neutrophil, and Red Blood Cell Counts Related to Sex, HLA, and Islet Autoantibodies in Swedish TEDDY Children at Increased Risk for Type 1 Diabetes. Diabetes 67:2329-2336
Smith, Laura B; Liu, Xiang; Johnson, Suzanne Bennett et al. (2018) Family adjustment to diabetes diagnosis in children: Can participation in a study on type 1 diabetes genetic risk be helpful? Pediatr Diabetes 19:1025-1033
Uusitalo, Ulla; Lee, Hye-Seung; Andrén Aronsson, Carin et al. (2018) Early Infant Diet and Islet Autoimmunity in the TEDDY Study. Diabetes Care 41:522-530
Pitchika, Anitha; Vehik, Kendra; Hummel, Sandra et al. (2018) Associations of Maternal Diabetes During Pregnancy with Overweight in Offspring: Results from the Prospective TEDDY Study. Obesity (Silver Spring) 26:1457-1466

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