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Connection

Dong Miao to Child, Preschool

This is a "connection" page, showing publications Dong Miao has written about Child, Preschool.

 
Connection Strength
 
 
 
0.158
 
  1. 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: 0.043
  2. Gu Y, Zhao Z, Waugh K, Miao D, Jia X, Cheng J, Michels A, Rewers M, Yang T, Yu L. High-throughput multiplexed autoantibody detection to screen type 1 diabetes and multiple autoimmune diseases simultaneously. EBioMedicine. 2019 Sep; 47:365-372.
    View in: PubMed
    Score: 0.016
  3. Simmons KM, Youngkin E, Alkanani A, Miao D, McDaniel K, Yu L, Michels AW. Screening children for type 1 diabetes-associated antibodies at community health fairs. Pediatr Diabetes. 2019 11; 20(7):909-914.
    View in: PubMed
    Score: 0.016
  4. Zhao Z, Miao D, Waugh K, Taki I, Dong F, Liu E, Rewers M, Liu Y, Yu L. Higher Sensitivity and Earlier Identification of Celiac Disease Autoimmunity by a Nonradioactive Assay for Transglutaminase Autoantibodies. J Immunol Res. 2016; 2016:2904563.
    View in: PubMed
    Score: 0.013
  5. Steck AK, Fouts A, Miao D, Zhao Z, Dong F, Sosenko J, Gottlieb P, Rewers MJ, Yu L. ECL-IAA and ECL-GADA Can Identify High-Risk Single Autoantibody-Positive Relatives in the TrialNet Pathway to Prevention Study. Diabetes Technol Ther. 2016 07; 18(7):410-4.
    View in: PubMed
    Score: 0.013
  6. Yu L, Dong F, Miao D, Fouts AR, Wenzlau JM, Steck AK. Proinsulin/Insulin autoantibodies measured with electrochemiluminescent assay are the earliest indicator of prediabetic islet autoimmunity. Diabetes Care. 2013 Aug; 36(8):2266-70.
    View in: PubMed
    Score: 0.010
  7. Steck AK, Johnson K, Barriga KJ, Miao D, Yu L, Hutton JC, Eisenbarth GS, Rewers MJ. Age of islet autoantibody appearance and mean levels of insulin, but not GAD or IA-2 autoantibodies, predict age of diagnosis of type 1 diabetes: diabetes autoimmunity study in the young. Diabetes Care. 2011 Jun; 34(6):1397-9.
    View in: PubMed
    Score: 0.009
  8. Yu L, Liu Y, Miao D, Wenzlau J, Davidson H, Hutton J, Eisenbarth GS. Triple chimeric islet autoantigen IA2-ZnT8WR to facilitate islet autoantibody determination. J Immunol Methods. 2010 Feb 28; 353(1-2):20-3.
    View in: PubMed
    Score: 0.008
  9. 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.
    View in: PubMed
    Score: 0.006
  10. Norris JM, Barriga K, Hoffenberg EJ, Taki I, Miao D, Haas JE, Emery LM, Sokol RJ, Erlich HA, Eisenbarth GS, Rewers M. Risk of celiac disease autoimmunity and timing of gluten introduction in the diet of infants at increased risk of disease. JAMA. 2005 May 18; 293(19):2343-51.
    View in: PubMed
    Score: 0.006
  11. Barker JM, Yu J, Yu L, Wang J, Miao D, Bao F, Hoffenberg E, Nelson JC, Gottlieb PA, Rewers M, Eisenbarth GS. Autoantibody "subspecificity" in type 1 diabetes: risk for organ-specific autoimmunity clusters in distinct groups. Diabetes Care. 2005 Apr; 28(4):850-5.
    View in: PubMed
    Score: 0.006
  12. Barker JM, Ide A, Hostetler C, Yu L, Miao D, Fain PR, Eisenbarth GS, Gottlieb PA. Endocrine and immunogenetic testing in individuals with type 1 diabetes and 21-hydroxylase autoantibodies: Addison's disease in a high-risk population. J Clin Endocrinol Metab. 2005 Jan; 90(1):128-34.
    View in: PubMed
    Score: 0.006
  13. Barker JM, Barriga KJ, Yu L, Miao D, Erlich HA, Norris JM, Eisenbarth GS, Rewers M. Prediction of autoantibody positivity and progression to type 1 diabetes: Diabetes Autoimmunity Study in the Young (DAISY). J Clin Endocrinol Metab. 2004 Aug; 89(8):3896-902.
    View in: PubMed
    Score: 0.006
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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