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Connection

Andrea Steck to Risk

This is a "connection" page, showing publications Andrea Steck has written about Risk.

 
Connection Strength
 
 
 
0.331
 
  1. Steck AK, Xu P, Geyer S, Redondo MJ, Antinozzi P, Wentworth JM, Sosenko J, Onengut-Gumuscu S, Chen WM, Rich SS, Pugliese A. Can Non-HLA Single Nucleotide Polymorphisms Help Stratify Risk in TrialNet Relatives at Risk for Type 1 Diabetes? J Clin Endocrinol Metab. 2017 08 01; 102(8):2873-2880.
    View in: PubMed
    Score: 0.119
  2. Steck AK, Dong F, Taki I, Hoffman M, Klingensmith GJ, Rewers MJ. Early hyperglycemia detected by continuous glucose monitoring in children at risk for type 1 diabetes. Diabetes Care. 2014 Jul; 37(7):2031-3.
    View in: PubMed
    Score: 0.095
  3. Simmons KM, Fouts A, Pyle L, Clark P, Dong F, Yu L, Usmani-Brown S, Gottlieb P, Herold KC, Steck AK. Unmethylated Insulin as an Adjunctive Marker of Beta Cell Death and Progression to Type 1 Diabetes in Participants at Risk for Diabetes. Int J Mol Sci. 2019 08 08; 20(16).
    View in: PubMed
    Score: 0.034
  4. Sharma A, Liu X, Hadley D, Hagopian W, Chen WM, Onengut-Gumuscu S, T?rn C, Steck AK, Frohnert BI, Rewers M, Ziegler AG, Lernmark ?, Toppari J, Krischer JP, Akolkar B, Rich SS, She JX. Identification of non-HLA genes associated with development of islet autoimmunity and type 1 diabetes in the prospective TEDDY cohort. J Autoimmun. 2018 05; 89:90-100.
    View in: PubMed
    Score: 0.031
  5. Liu Y, Rafkin LE, Matheson D, Henderson C, Boulware D, Besser REJ, Ferrara C, Yu L, Steck AK, Bingley PJ. Use of self-collected capillary blood samples for islet autoantibody screening in relatives: a feasibility and acceptability study. Diabet Med. 2017 07; 34(7):934-937.
    View in: PubMed
    Score: 0.029
  6. Miao D, Guyer KM, Dong F, Jiang L, Steck AK, Rewers M, Eisenbarth GS, Yu L. GAD65 autoantibodies detected by electrochemiluminescence assay identify high risk for type 1 diabetes. Diabetes. 2013 Dec; 62(12):4174-8.
    View in: PubMed
    Score: 0.023
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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