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																		 Connection
 
																		 Co-Authors
																		
																	 
																		This is a "connection" page, showing publications co-authored by   Dong Miao   and   Xiaofan Jia.    
																		
																	 
																			
																					
					
					
		
			
			
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					|  | Connection Strength |  |  
					|  |   |  |  
					|  | 0.718 |  |  |  |  
		
		
			
				Jia X, He L, Miao D, Zhang C, Rewers M, Yu L. A High-throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19. J Vis Exp. 2022 07 05; (185).	
				
				
					Score: 0.199
				
				Jia X, Toda K, He L, Miao D, Yamada S, Yu L, Kodama K. Expression-based Genome-wide Association Study Links OPN and IL1-RA With Newly Diagnosed Type 1 Diabetes in Children. J Clin Endocrinol Metab. 2022 06 16; 107(7):1825-1832.	
				
				
					Score: 0.198
				
				Jia X, He L, Miao D, Waugh K, Rasmussen CG, Dong F, Steck AK, Rewers M, Yu L. High-affinity ZnT8 Autoantibodies by Electrochemiluminescence Assay Improve Risk Prediction for Type 1 Diabetes. J Clin Endocrinol Metab. 2021 11 19; 106(12):3455-3463.	
				
				
					Score: 0.190
				
				Gu Y, Jia X, Vartak T, Miao D, Dong F, Jerram ST, Rewers M, Ferrara A, Lawrence JM, Yu L, Leslie RD. Improving clinical utility of GAD65 autoantibodies by electrochemiluminescence assay and clinical phenotype when identifying autoimmune adult-onset diabetes. Diabetologia. 2021 09; 64(9):2052-2060.	
				
				
					Score: 0.046
				
				He L, Jia X, Gu Y, Miao D, Waugh K, Geno C, Liu E, Rewers M, Yu L. Large-Scale Screening in General Population Children for Celiac Disease with a Multiplex Electrochemiluminescence (ECL) Assay. J Immunol Res. 2020; 2020:8897656.	
				
				
					Score: 0.045
				
				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.	
				
				
					Score: 0.041
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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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