Connection
Co-Authors
This is a "connection" page, showing publications co-authored by Jill Norris and Andrea Steck.
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Connection Strength |
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2.268 |
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Carry PM, Waugh K, Vanderlinden LA, Johnson RK, Buckner T, Rewers M, Steck AK, Yang I, Fingerlin TE, Kechris K, Norris JM. Changes in the Coexpression of Innate Immunity Genes During Persistent Islet Autoimmunity Are Associated With Progression of Islet Autoimmunity: Diabetes Autoimmunity Study in the Young (DAISY). Diabetes. 2022 09 01; 71(9):2048-2057.
Score: 0.213
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Carry PM, Vanderlinden LA, Johnson RK, Buckner T, Fiehn O, Steck AK, Kechris K, Yang I, Fingerlin TE, Rewers M, Norris JM. Phospholipid Levels at Seroconversion Are Associated With Resolution of Persistent Islet Autoimmunity: The Diabetes Autoimmunity Study in the Young. Diabetes. 2021 07; 70(7):1592-1601.
Score: 0.193
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Gardner JA, Johnson RK, Dong F, Hoffman M, Steck AK, Frohnert BI, Rewers M, Norris JM. Gluten intake and risk of thyroid peroxidase autoantibodies in the Diabetes Autoimmunity Study In the Young (DAISY). Endocrine. 2020 11; 70(2):331-337.
Score: 0.183
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Carry PM, Vanderlinden LA, Johnson RK, Dong F, Steck AK, Frohnert BI, Rewers M, Yang IV, Kechris K, Norris JM. DNA methylation near the INS gene is associated with INS genetic variation (rs689) and type 1 diabetes in the Diabetes Autoimmunity Study in the Young. Pediatr Diabetes. 2020 06; 21(4):597-605.
Score: 0.179
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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: 0.155
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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: 0.149
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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.
Score: 0.138
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Chan CL, Taki I, Dong F, Hoffman M, Norris JM, Klingensmith G, Rewers MJ, Steck AK. Comparison of Metabolic Outcomes in Children Diagnosed with Type 1 Diabetes Through Research Screening (Diabetes Autoimmunity Study in the Young [DAISY]) Versus in the Community. Diabetes Technol Ther. 2015 Sep; 17(9):649-56.
Score: 0.129
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Frederiksen BN, Steck AK, Kroehl M, Lamb MM, Wong R, Rewers M, Norris JM. Evidence of stage- and age-related heterogeneity of non-HLA SNPs and risk of islet autoimmunity and type 1 diabetes: the diabetes autoimmunity study in the young. Clin Dev Immunol. 2013; 2013:417657.
Score: 0.116
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Steck AK, Dong F, Wong R, Fouts A, Liu E, Romanos J, Wijmenga C, Norris JM, Rewers MJ. Improving prediction of type 1 diabetes by testing non-HLA genetic variants in addition to HLA markers. Pediatr Diabetes. 2014 Aug; 15(5):355-62.
Score: 0.115
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Frederiksen BN, Kroehl M, Fingerlin TE, Wong R, Steck AK, Rewers M, Norris JM. Association between vitamin D metabolism gene polymorphisms and risk of islet autoimmunity and progression to type 1 diabetes: the diabetes autoimmunity study in the young (DAISY). J Clin Endocrinol Metab. 2013 Nov; 98(11):E1845-51.
Score: 0.114
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Frederiksen B, Liu E, Romanos J, Steck AK, Yin X, Kroehl M, Fingerlin TE, Erlich H, Eisenbarth GS, Rewers M, Norris JM. Investigation of the vitamin D receptor gene (VDR) and its interaction with protein tyrosine phosphatase, non-receptor type 2 gene (PTPN2) on risk of islet autoimmunity and type 1 diabetes: the Diabetes Autoimmunity Study in the Young (DAISY). J Steroid Biochem Mol Biol. 2013 Jan; 133:51-7.
Score: 0.106
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Steck AK, Wong R, Wagner B, Johnson K, Liu E, Romanos J, Wijmenga C, Norris JM, Eisenbarth GS, Rewers MJ. Effects of non-HLA gene polymorphisms on development of islet autoimmunity and type 1 diabetes in a population with high-risk HLA-DR,DQ genotypes. Diabetes. 2012 Mar; 61(3):753-8.
Score: 0.102
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Steck AK, Zhang W, Bugawan TL, Barriga KJ, Blair A, Erlich HA, Eisenbarth GS, Norris JM, Rewers MJ. Do non-HLA genes influence development of persistent islet autoimmunity and type 1 diabetes in children with high-risk HLA-DR,DQ genotypes? Diabetes. 2009 Apr; 58(4):1028-33.
Score: 0.083
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Steck AK, Bugawan TL, Valdes AM, Emery LM, Blair A, Norris JM, Redondo MJ, Babu SR, Erlich HA, Eisenbarth GS, Rewers MJ. Association of non-HLA genes with type 1 diabetes autoimmunity. Diabetes. 2005 Aug; 54(8):2482-6.
Score: 0.065
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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.
Score: 0.047
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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.
Score: 0.047
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Frohnert BI, Webb-Robertson BJ, Bramer LM, Reehl SM, Waugh K, Steck AK, Norris JM, Rewers M. Predictive Modeling of Type 1 Diabetes Stages Using Disparate Data Sources. Diabetes. 2020 02; 69(2):238-248.
Score: 0.044
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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.
Score: 0.037
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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: 0.036
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Aly TA, Ide A, Humphrey K, Barker JM, Steck A, Erlich HA, Yu L, Miao D, Redondo MJ, McFann K, Roberts CM, Babu SR, Norris JM, Eisenbarth GS, Rewers MJ. Genetic prediction of autoimmunity: initial oligogenic prediction of anti-islet autoimmunity amongst DR3/DR4-DQ8 relatives of patients with type 1A diabetes. J Autoimmun. 2005; 25 Suppl:40-5.
Score: 0.017
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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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