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Connection

Aaron Michels to Genetic Predisposition to Disease

This is a "connection" page, showing publications Aaron Michels has written about Genetic Predisposition to Disease.

 
Connection Strength
 
 
 
0.399
 
  1. Nakayama M, Michels AW. Using the T Cell Receptor as a Biomarker in Type 1 Diabetes. Front Immunol. 2021; 12:777788.
    View in: PubMed
    Score: 0.110
  2. Michels A, Zhang L, Khadra A, Kushner JA, Redondo MJ, Pietropaolo M. Prediction and prevention of type 1 diabetes: update on success of prediction and struggles at prevention. Pediatr Diabetes. 2015 Nov; 16(7):465-84.
    View in: PubMed
    Score: 0.071
  3. Simmons K, Michels AW. Lessons from type 1 diabetes for understanding natural history and prevention of autoimmune disease. Rheum Dis Clin North Am. 2014 Nov; 40(4):797-811.
    View in: PubMed
    Score: 0.067
  4. Michels AW. Targeting the trimolecular complex: the pathway towards type 1 diabetes prevention. Diabetes Technol Ther. 2013 Jun; 15 Suppl 2:S2-8-S2-12.
    View in: PubMed
    Score: 0.061
  5. Michels AW, Eisenbarth GS. Autoimmune polyendocrine syndrome type 1 (APS-1) as a model for understanding autoimmune polyendocrine syndrome type 2 (APS-2). J Intern Med. 2009 May; 265(5):530-40.
    View in: PubMed
    Score: 0.046
  6. Redondo MJ, Steck AK, Sosenko J, Anderson M, Antinozzi P, Michels A, Wentworth JM, Atkinson MA, Pugliese A, Geyer S. Transcription Factor 7-Like 2 (TCF7L2) Gene Polymorphism and Progression From Single to Multiple Autoantibody Positivity in Individuals at Risk for Type 1 Diabetes. Diabetes Care. 2018 12; 41(12):2480-2486.
    View in: PubMed
    Score: 0.022
  7. Redondo MJ, Geyer S, Steck AK, Sosenko J, Anderson M, Antinozzi P, Michels A, Wentworth J, Xu P, Pugliese A. TCF7L2 Genetic Variants Contribute to Phenotypic Heterogeneity of Type 1 Diabetes. Diabetes Care. 2018 02; 41(2):311-317.
    View in: PubMed
    Score: 0.021
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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