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Methods, quality control and specimen management in an international multicentre investigation of type 1 diabetes: TEDDY

Vehik, Kendra (author)
Fiske, Steven W. (author)
Logan, Chad A. (author)
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Agardh, Daniel (author)
Lund University,Lunds universitet,Celiaki och diabetes,Forskargrupper vid Lunds universitet,Celiac Disease and Diabetes Unit,Lund University Research Groups
Cilio, Corrado (author)
Lund University,Lunds universitet,Diabetes - immunovirologi,Forskargrupper vid Lunds universitet,Diabetes - Immunovirology,Lund University Research Groups
Hagopian, William (author)
Simell, Olli (author)
Roivainen, Merja (author)
She, Jin-Xiong (author)
Briese, Thomas (author)
Oikarinen, Sami (author)
Hyoty, Heikki (author)
Ziegler, Anette-G. (author)
Rewers, Marian (author)
Lernmark, Åke (author)
Lund University,Lunds universitet,Celiaki och diabetes,Forskargrupper vid Lunds universitet,Celiac Disease and Diabetes Unit,Lund University Research Groups
Akolkar, Beena (author)
Krischer, Jeffrey P. (author)
Burkhardt, Brant R. (author)
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 (creator_code:org_t)
Wiley, 2013
2013
English.
In: Diabetes/Metabolism Research & Reviews. - : Wiley. - 1520-7552. ; 29:7, s. 557-567
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • BackgroundThe vast array and quantity of longitudinal samples collected in The Environmental Determinants of Diabetes in the Young study present a series of challenges in terms of quality control procedures and data validity. To address this, pilot studies have been conducted to standardize and enhance both biospecimen collection and sample obtainment in terms of autoantibody collection, stool sample preservation, RNA, biomarker stability, metabolic biomarkers and T-cell viability. Research Design and MethodsThe Environmental Determinants of Diabetes in the Young is a multicentre, international prospective study (n=8677) designed to identify environmental triggers of type 1 diabetes (T1D) in genetically at-risk children from ages 3months until 15years. The study is conducted through six primary clinical centres located in four countries. ResultsAs of May 2012, over three million biological samples and 250 million total data points have been collected, which will be analysed to assess autoimmunity status, presence of inflammatory biomarkers, genetic factors, exposure to infectious agents, dietary biomarkers and other potentially important environmental exposures in relation to autoimmunity and progression to T1D. ConclusionsDetailed procedures were utilized to standardize both data harmonization and management when handling a large quantity of longitudinal samples obtained from multiple locations. In addition, a description of the available specimens is provided that serve as an invaluable repository for the elucidation of determinants in T1D focusing on autoantibody concordance and harmonization, transglutaminase autoantibody, inflammatory biomarkers (T-cells), genetic proficiency testing, RNA lab internal quality control testing, infectious agents (monitoring cross-contamination, virus preservation and nasal swab collection validity) and HbA(1c) testing. Copyright (c) 2013 John Wiley & Sons, Ltd.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

Keyword

quality control
data integrity
stool sample preservation
RNA
biomarker stability
metabolic biomarkers
T-cell viability

Publication and Content Type

art (subject category)
ref (subject category)

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