Literature DB >> 14679100

Population-wide infant screening for HLA-based type 1 diabetes risk via dried blood spots from the public health infrastructure.

Emily Wion1, Michael Brantley, Jeff Stevens, Susan Gallinger, Hui Peng, Michael Glass, William Hagopian.   

Abstract

The frequency of type 1 diabetes mellitus (T1DM)-associated HLA DQ alleles in the U.S. Pacific Northwest is as high as in Scandinavia, which has the highest T1DM incidence in the world. The high regional rate of islet autoimmunity observed among DPT-1 relatives supports this notion. Fortunately, Washington State archives dried blood spots after legislature-mandated newborn screening. The Diabetes Evaluation in Washington (DEW-IT) study aims to show that population-based prospective prediction of T1DM by HLA genotype screening followed by autoantibody surveillance can be performed within the public health infrastructure.

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Year:  2003        PMID: 14679100     DOI: 10.1196/annals.1288.067

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  15 in total

1.  Newborn screening: complexities in universal genetic testing.

Authors:  Nancy S Green; Siobhan M Dolan; Thomas H Murray
Journal:  Am J Public Health       Date:  2006-03-29       Impact factor: 9.308

Review 2.  Metabolomic Biomarkers in the Progression to Type 1 Diabetes.

Authors:  Anne Julie Overgaard; Simranjeet Kaur; Flemming Pociot
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

Review 3.  Psychological impact of screening and prediction in type 1 diabetes.

Authors:  Suzanne Bennett Johnson
Journal:  Curr Diab Rep       Date:  2011-10       Impact factor: 4.810

4.  Proficiency testing of human leukocyte antigen-DR and human leukocyte antigen-DQ genetic risk assessment for type 1 diabetes using dried blood spots.

Authors:  Paul Dantonio; Nancy Meredith-Molloy; William A Hagopian; Jin Xiong She; Beena Akolkar; Suzanne K Cordovado; Miyono Hendrix; L Omar Henderson; W Harry Hannon; Robert F Vogt
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

5.  Imputing Longitudinal Growth Data in International Pediatric Studies: Does CDC Reference Suffice?

Authors:  Zhiguo Li; Jorma Toppari; Markus Lundgren; Brigitte I Frohnert; Peter Achenbach; Riitta Veijola; Vibha Anand
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

6.  Simulating Screening for Risk of Childhood Diabetes: The Collaborative Open Outcomes tooL (COOL).

Authors:  Mohamed Ghalwash; Eileen Koski; Riitta Veijola; Jorma Toppari; William Hagopian; Marian Rewers; Vibha Anand
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

7.  Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children.

Authors:  Kenney Ng; Vibha Anand; Harry Stavropoulos; Riitta Veijola; Jorma Toppari; Marlena Maziarz; Markus Lundgren; Kathy Waugh; Brigitte I Frohnert; Frank Martin; Olivia Lou; William Hagopian; Peter Achenbach
Journal:  Diabetologia       Date:  2022-10-05       Impact factor: 10.460

8.  Modeling Disease Progression Trajectories from Longitudinal Observational Data.

Authors:  Bum Chul Kwon; Peter Achenbach; Jessica L Dunne; William Hagopian; Markus Lundgren; Kenney Ng; Riitta Veijola; Brigitte I Frohnert; Vibha Anand
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

9.  Islet Autoimmunity and HLA Markers of Presymptomatic and Clinical Type 1 Diabetes: Joint Analyses of Prospective Cohort Studies in Finland, Germany, Sweden, and the U.S.

Authors:  Vibha Anand; Ying Li; Bin Liu; Mohamed Ghalwash; Eileen Koski; Kenney Ng; Jessica L Dunne; Josefine Jönsson; Christiane Winkler; Mikael Knip; Jorma Toppari; Jorma Ilonen; Michael B Killian; Brigitte I Frohnert; Markus Lundgren; Anette-Gabriele Ziegler; William Hagopian; Riitta Veijola; Marian Rewers
Journal:  Diabetes Care       Date:  2021-06-23       Impact factor: 17.152

10.  Peripheral autoreactive CD8 T-cell frequencies are too variable to be a reliable predictor of disease progression of human type 1 diabetes.

Authors:  Johnna D Wesley; Susanne Pfeiffer; Darius Schneider; David Friedrich; Nikole Perdue; Birgit Sehested-Hansen; William Hagopian; Matthias G von Herrath
Journal:  Clin Transl Immunology       Date:  2021-07-11
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