 Connection
Brigitte Frohnert to Prospective Studies
This is a "connection" page, showing publications Brigitte Frohnert has written about Prospective Studies.
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Connection Strength |
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0.451 |
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Frohnert BI, Ghalwash M, Li Y, Ng K, Dunne JL, Lundgren M, Hagopian W, Lou O, Winkler C, Toppari J, Veijola R, Anand V. Refining the Definition of Stage 1 Type 1 Diabetes: An Ontology-Driven Analysis of the Heterogeneity of Multiple Islet Autoimmunity. Diabetes Care. 2023 10 01; 46(10):1753-1761.
Score: 0.092
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Frohnert BI, Laimighofer M, Krumsiek J, Theis FJ, Winkler C, Norris JM, Ziegler AG, Rewers MJ, Steck AK. Prediction of type 1 diabetes using a genetic risk model in the Diabetes Autoimmunity Study in the Young. Pediatr Diabetes. 2018 03; 19(2):277-283.
Score: 0.060
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Alonso GT, Pyle L, Frohnert B. Change in hemoglobin A1c one year following the 2014 American Diabetes Association guideline update. Diabetes Res Clin Pract. 2017 Jul; 129:169-172.
Score: 0.059
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Frohnert BI, Ide L, Dong F, Bar?n AE, Steck AK, Norris JM, Rewers MJ. Late-onset islet autoimmunity in childhood: the Diabetes Autoimmunity Study in the Young (DAISY). Diabetologia. 2017 06; 60(6):998-1006.
Score: 0.058
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Ng K, Anand V, Stavropoulos H, Veijola R, Toppari J, Maziarz M, Lundgren M, Waugh K, Frohnert BI, Martin F, Lou O, Hagopian W, Achenbach P. Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children. Diabetologia. 2023 01; 66(1):93-104.
Score: 0.021
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Webb-Robertson BM, Nakayasu ES, Frohnert BI, Bramer LM, Akers SM, Norris JM, Vehik K, Ziegler AG, Metz TO, Rich SS, Rewers MJ. Integration of Infant Metabolite, Genetic, and Islet Autoimmunity Signatures to Predict Type 1 Diabetes by Age 6 Years. J Clin Endocrinol Metab. 2022 07 14; 107(8):2329-2338.
Score: 0.021
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Ng K, Stavropoulos H, Anand V, Veijola R, Toppari J, Maziarz M, Lundgren M, Waugh K, Frohnert BI, Martin F, Hagopian W, Achenbach P. Islet Autoantibody Type-Specific Titer Thresholds Improve Stratification of Risk of Progression to Type 1 Diabetes in Children. Diabetes Care. 2022 01 01; 45(1):160-168.
Score: 0.020
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Buckner T, Vanderlinden LA, DeFelice BC, Carry PM, Kechris K, Dong F, Fiehn O, Frohnert BI, Clare-Salzler M, Rewers M, Norris JM. The oxylipin profile is associated with development of type 1 diabetes: the Diabetes Autoimmunity Study in the Young (DAISY). Diabetologia. 2021 08; 64(8):1785-1794.
Score: 0.019
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Webb-Robertson BM, Bramer LM, Stanfill BA, Reehl SM, Nakayasu ES, Metz TO, Frohnert BI, Norris JM, Johnson RK, Rich SS, Rewers MJ. Prediction of the development of islet autoantibodies through integration of environmental, genetic, and metabolic markers. J Diabetes. 2021 Feb; 13(2):143-153.
Score: 0.018
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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.
Score: 0.018
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Steck AK, Dong F, Taki I, Hoffman M, Simmons K, Frohnert BI, Rewers MJ. Continuous Glucose Monitoring Predicts Progression to Diabetes in Autoantibody Positive Children. J Clin Endocrinol Metab. 2019 08 01; 104(8):3337-3344.
Score: 0.017
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Beyerlein A, Bonifacio E, Vehik K, Hippich M, Winkler C, Frohnert BI, Steck AK, Hagopian WA, Krischer JP, Lernmark ?, Rewers MJ, She JX, Toppari J, Akolkar B, Rich SS, Ziegler AG. Progression from islet autoimmunity to clinical type 1 diabetes is influenced by genetic factors: results from the prospective TEDDY study. J Med Genet. 2019 09; 56(9):602-605.
Score: 0.016
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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.
Score: 0.015
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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.
Score: 0.015
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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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