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Prevalence of hereditary tubulointerstitial kidney diseases in the German Chronic Kidney Disease study

物候学 肾脏疾病 遗传学 生物 HNF1B型 错义突变 疾病 外显子组测序 医学 生物信息学 内科学 基因 表型 同源盒 基因表达
作者
Bernt Popp,Arif B. Ekici,Karl X. Knaup,Karen Schneider,Steffen Uebe,Jonghun Park,Vineet Bafna,Heike Meiselbach,Kai‐Uwe Eckardt,Mario Schiffer,André Reis,Cornelia Kraus,Michael S. Wiesener
出处
期刊:European Journal of Human Genetics [Springer Nature]
卷期号:30 (12): 1413-1422 被引量:14
标识
DOI:10.1038/s41431-022-01177-9
摘要

Abstract Hereditary chronic kidney disease (CKD) appears to be more frequent than the clinical perception. Exome sequencing (ES) studies in CKD cohorts could identify pathogenic variants in ~10% of individuals. Tubulointerstitial kidney diseases, showing no typical clinical/histologic finding but tubulointerstitial fibrosis, are particularly difficult to diagnose. We used a targeted panel (29 genes) and MUC1 -SNaPshot to sequence 271 DNAs, selected in defined disease entities and age cutoffs from 5217 individuals in the German Chronic Kidney Disease cohort. We identified 33 pathogenic variants. Of these 27 (81.8%) were in COL4A3/4/5 , the largest group being 15 COL4A5 variants with nine unrelated individuals carrying c.1871G>A, p.(Gly624Asp). We found three cysteine variants in UMOD , a novel missense and a novel splice variant in HNF1B and the homoplastic MTTF variant m.616T>C. Copy-number analysis identified a heterozygous COL4A5 deletion, and a HNF1B duplication/deletion, respectively. Overall, pathogenic variants were present in 12.5% (34/271) and variants of unknown significance in 9.6% (26/271) of selected individuals. Bioinformatic predictions paired with gold standard diagnostics for MUC1 (SNaPshot) could not identify the typical cytosine duplication (“c.428dupC”) in any individual, implying that ADTKD- MUC1 is rare. Our study shows that >10% of selected individuals carry disease-causing variants in genes partly associated with tubulointerstitial kidney diseases. COL4A3/4/5 genes constitute the largest fraction, implying they are regularly overlooked using clinical Alport syndrome criteria and displaying the existence of phenocopies. We identified variants easily missed by some ES pipelines. The clinical filtering criteria applied enriched for an underlying genetic disorder.
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