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																		 Connection
 
																		 Co-Authors
																		
																	 
																		This is a "connection" page, showing publications co-authored by   Peter Gottlieb   and   Dong Miao.    
																		
																	 
																			
																					
					
					
		
			
			
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					|  | Connection Strength |  |  
					|  |   |  |  
					|  | 0.159 |  |  |  |  
		
		
			
				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.	
				
				
					Score: 0.058
				
				Fouts A, Pyle L, Yu L, Miao D, Michels A, Krischer J, Sosenko J, Gottlieb P, Steck AK. Do Electrochemiluminescence Assays Improve Prediction of Time to Type 1 Diabetes in Autoantibody-Positive TrialNet Subjects? Diabetes Care. 2016 Oct; 39(10):1738-44.	
				
				
					Score: 0.033
				
				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.	
				
				
					Score: 0.032
				
				Triolo TM, Baschal EE, Armstrong TK, Toews CS, Fain PR, Rewers MJ, Yu L, Miao D, Eisenbarth GS, Gottlieb PA, Barker JM. Homozygosity of the polymorphism MICA5.1 identifies extreme risk of progression to overt adrenal insufficiency among 21-hydroxylase antibody-positive patients with type 1 diabetes. J Clin Endocrinol Metab. 2009 Nov; 94(11):4517-23.	
				
				
					Score: 0.021
				
				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.	
				
				
					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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