Deciphering the pathogenicity of COL4A4 heterozygous splicing mutations and the genotype-phenotype correlation in autosomal dominant Alport syndrome
	    		
		   		
		   			 
		   		
	    	
    	 
    	10.3760/cma.j.cn441217-20220712-00720
   		
        
        	
        		- VernacularTitle:常染色体显性遗传Alport综合征致病基因 COL4A4杂合剪接突变的致病性分析及基因型-表型关联分析
- Author:
	        		
		        		
		        		
			        		Xuantong DAI
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Ningning HU
			        		
			        		;
		        		
		        		
		        		
			        		Xujie ZHOU
			        		
			        		;
		        		
		        		
		        		
			        		Ning YANG
			        		
			        		;
		        		
		        		
		        		
			        		Hongli LIN
			        		
			        		;
		        		
		        		
		        		
			        		Gengru JIANG
			        		
			        		;
		        		
		        		
		        		
			        		Fujun LIN
			        		
			        		
		        		
		        		
		        		
    Author Information Author Information
 
			        		
			        		
			        			1. 上海交通大学医学院附属新华医院肾脏科,上海 200092
 
 
- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Nephritis, hereditary;
			        		
			        		
			        		
				        		Mutation;
			        		
			        		
			        		
				        		Genetic association studies;
			        		
			        		
			        		
				        		Alport syndrome;
			        		
			        		
			        		
				        		Autosomal dominant inheritance;
			        		
			        		
			        		
				        		COL4A4;
			        		
			        		
			        		
				        		Splicing mutation
			        		
			        		
	        			
        			
        		
- From:
	            		
	            			Chinese Journal of Nephrology
	            		
	            		 2023;39(3):179-187
	            	
            	
- CountryChina
- Language:Chinese
- 
		        	Abstract:
			       	
			       		
				        
				        	Objective:Through the investigation of the pathogenicity of COL4A4 heterozygous splicing mutations and the genotype-phenotype correlation in autosomal dominant Alport syndrome (ADAS), to better understand the impact of COL4A4 heterozygous splicing mutations on ADAS. Methods:The study was a case series analysis. Patients from 5 ADAS families with COL4A4 heterozygous splicing mutations detected by whole exome sequencing were recruited by three hospitals. In vivo transcriptional analysis and/or in vitro minigene splicing assay were conducted to determine the splicing patterns and assess the pathogenicity of COL4A4 heterozygous splicing mutations. Results:In the five ADAS pedigrees carrying COL4A4 heterozygous splicing mutations, four novel ADAS splicing patterns were described. In pedigree 1-4, most patients presented with continuous hematuria or/and microalbuminuria. Otherwise,the proband in pedigree 4 presented with macroalbuminuria and the proband in pedigree 1 had progressed to chronic kidney disease stage 2 at the age of 70 years old. In pedigree 5, all patients developed end-stage renal disease between 28 and 41 years old. c.735+3A>G detected in pedigree 1 and pedigree 2 and c.694-1G>C detected in pedigree 3 both led to exon 12 skipping in COL4A4, resulting in 42 nucleotides in-frame deletion (c.694_735del). c.2056+3A>G detected in pedigree 4 led to COL4A4 exon 26 skipping, which caused in-frame deletion of 69 nucleotides (c.1988_2056del). c.2716+5G>T detected in pedigree 5 led to a 360 nucleotides large in-frame deletion, including 100 bp sequence at the 3'end of exon 29,the whole sequence of exon 30 and 89 bp sequence at the 5'end of exon 31 (c.2446_2805del). Conclusions:Renal prognosis differs significantly for patients with small in-frame deletions versus large in-frame deletion splicing abnormalities. Determination of the pathogenicity and the splicing patterns of COL4A4 heterozygous splicing mutations using in vivo and in vitro transcriptional analysis may provide renal prognostic information.