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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Brigitte Frohnert and Kathleen Waugh.

 
Connection Strength
 
 
 
0.503
 
  1. Waugh K, Snell-Bergeon J, Michels A, Dong F, Steck AK, Frohnert BI, Norris JM, Rewers M. Increased inflammation is associated with islet autoimmunity and type 1 diabetes in the Diabetes Autoimmunity Study in the Young (DAISY). PLoS One. 2017; 12(4):e0174840.
    View in: PubMed
    Score: 0.182
  2. Stahl MG, Geno Rasmussen C, Dong F, Waugh K, Norris JM, Baxter J, Yu L, Steck AK, Frohnert BI, Liu E, Rewers MJ. Mass Screening for Celiac Disease: The Autoimmunity Screening for Kids Study. Am J Gastroenterol. 2021 01 01; 116(1):180-187.
    View in: PubMed
    Score: 0.059
  3. Onengut-Gumuscu S, Paila U, Chen WM, Ratan A, Zhu Z, Steck AK, Frohnert BI, Waugh KC, Webb-Robertson BM, Norris JM, Lange LA, Rewers MJ, Rich SS. Novel genetic risk factors influence progression of islet autoimmunity to type 1 diabetes. Sci Rep. 2020 11 05; 10(1):19193.
    View in: PubMed
    Score: 0.058
  4. McQueen RB, Geno Rasmussen C, Waugh K, Frohnert BI, Steck AK, Yu L, Baxter J, Rewers M. Cost and Cost-effectiveness of Large-scale Screening for Type 1 Diabetes in Colorado. Diabetes Care. 2020 07; 43(7):1496-1503.
    View in: PubMed
    Score: 0.056
  5. Johnson RK, Vanderlinden LA, Dong F, Carry PM, Seifert J, Waugh K, Shorrosh H, Fingerlin T, Frohnert BI, Yang IV, Kechris K, Rewers M, Norris JM. Longitudinal DNA methylation differences precede type 1 diabetes. Sci Rep. 2020 02 28; 10(1):3721.
    View in: PubMed
    Score: 0.056
  6. Steck AK, Dong F, Frohnert BI, Waugh K, Hoffman M, Norris JM, Rewers MJ. Predicting progression to diabetes in islet autoantibody positive children. J Autoimmun. 2018 06; 90:59-63.
    View in: PubMed
    Score: 0.048
  7. Steck AK, Dong F, Waugh K, Frohnert BI, Yu L, Norris JM, Rewers MJ. Predictors of slow progression to diabetes in children with multiple islet autoantibodies. J Autoimmun. 2016 08; 72:113-7.
    View in: PubMed
    Score: 0.043
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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