Literature DB >> 36100708

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

Bernt Popp1,2,3, Arif B Ekici1, Karl X Knaup4, Karen Schneider4, Steffen Uebe1, Jonghun Park5, Vineet Bafna5, Heike Meiselbach4, Kai-Uwe Eckardt4,6, Mario Schiffer4, André Reis1, Cornelia Kraus1, Michael Wiesener7.   

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.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 36100708     DOI: 10.1038/s41431-022-01177-9

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   5.351


  34 in total

Review 1.  Rare inherited kidney diseases: challenges, opportunities, and perspectives.

Authors:  Olivier Devuyst; Nine V A M Knoers; Giuseppe Remuzzi; Franz Schaefer
Journal:  Lancet       Date:  2014-05-24       Impact factor: 79.321

2.  Clinical Genetic Screening in Adult Patients with Kidney Disease.

Authors:  Enrico Cocchi; Jordan Gabriela Nestor; Ali G Gharavi
Journal:  Clin J Am Soc Nephrol       Date:  2020-07-09       Impact factor: 8.237

Review 3.  Autosomal dominant tubulointerstitial kidney disease.

Authors:  Olivier Devuyst; Eric Olinger; Stefanie Weber; Kai-Uwe Eckardt; Stanislav Kmoch; Luca Rampoldi; Anthony J Bleyer
Journal:  Nat Rev Dis Primers       Date:  2019-09-05       Impact factor: 52.329

4.  Renal fibrosis is the common feature of autosomal dominant tubulointerstitial kidney diseases caused by mutations in mucin 1 or uromodulin.

Authors:  Arif B Ekici; Thomas Hackenbeck; Vincent Morinière; Andrea Pannes; Maike Buettner; Steffen Uebe; Rolf Janka; Antje Wiesener; Ingo Hermann; Sina Grupp; Martin Hornberger; Tobias B Huber; Nikky Isbel; George Mangos; Stella McGinn; Daniela Soreth-Rieke; Bodo B Beck; Michael Uder; Kerstin Amann; Corinne Antignac; André Reis; Kai-Uwe Eckardt; Michael S Wiesener
Journal:  Kidney Int       Date:  2014-03-26       Impact factor: 10.612

Review 5.  Genetic testing for kidney disease of unknown etiology.

Authors:  Thomas Hays; Emily E Groopman; Ali G Gharavi
Journal:  Kidney Int       Date:  2020-04-24       Impact factor: 10.612

6.  Autosomal dominant tubulointerstitial kidney disease: diagnosis, classification, and management--A KDIGO consensus report.

Authors:  Kai-Uwe Eckardt; Seth L Alper; Corinne Antignac; Anthony J Bleyer; Dominique Chauveau; Karin Dahan; Constantinos Deltas; Andrew Hosking; Stanislav Kmoch; Luca Rampoldi; Michael Wiesener; Matthias T Wolf; Olivier Devuyst
Journal:  Kidney Int       Date:  2015-03-04       Impact factor: 10.612

7.  Diagnostic Utility of Exome Sequencing for Kidney Disease.

Authors:  Emily E Groopman; Maddalena Marasa; Sophia Cameron-Christie; Slavé Petrovski; Vimla S Aggarwal; Hila Milo-Rasouly; Yifu Li; Junying Zhang; Jordan Nestor; Priya Krithivasan; Wan Yee Lam; Adele Mitrotti; Stacy Piva; Byum H Kil; Debanjana Chatterjee; Rachel Reingold; Drew Bradbury; Michael DiVecchia; Holly Snyder; Xueru Mu; Karla Mehl; Olivia Balderes; David A Fasel; Chunhua Weng; Jai Radhakrishnan; Pietro Canetta; Gerald B Appel; Andrew S Bomback; Wooin Ahn; Natalie S Uy; Shumyle Alam; David J Cohen; Russell J Crew; Geoffrey K Dube; Maya K Rao; Sitharthan Kamalakaran; Brett Copeland; Zhong Ren; Joshua Bridgers; Colin D Malone; Caroline M Mebane; Neha Dagaonkar; Bengt C Fellström; Carolina Haefliger; Sumit Mohan; Simone Sanna-Cherchi; Krzysztof Kiryluk; Jan Fleckner; Ruth March; Adam Platt; David B Goldstein; Ali G Gharavi
Journal:  N Engl J Med       Date:  2018-12-26       Impact factor: 176.079

8.  The Burden of Candidate Pathogenic Variants for Kidney and Genitourinary Disorders Emerging From Exome Sequencing.

Authors:  Hila Milo Rasouly; Emily E Groopman; Reuben Heyman-Kantor; David A Fasel; Adele Mitrotti; Rik Westland; Louise Bier; Chunhua Weng; Zhong Ren; Brett Copeland; Priya Krithivasan; Wendy K Chung; Simone Sanna-Cherchi; David B Goldstein; Ali G Gharavi
Journal:  Ann Intern Med       Date:  2018-11-27       Impact factor: 51.598

Review 9.  New insights into the role of HNF-1β in kidney (patho)physiology.

Authors:  Silvia Ferrè; Peter Igarashi
Journal:  Pediatr Nephrol       Date:  2018-07-01       Impact factor: 3.714

10.  Mutations causing medullary cystic kidney disease type 1 lie in a large VNTR in MUC1 missed by massively parallel sequencing.

Authors:  Andrew Kirby; Andreas Gnirke; David B Jaffe; Veronika Barešová; Nathalie Pochet; Brendan Blumenstiel; Chun Ye; Daniel Aird; Christine Stevens; James T Robinson; Moran N Cabili; Irit Gat-Viks; Edward Kelliher; Riza Daza; Matthew DeFelice; Helena Hůlková; Jana Sovová; Petr Vylet'al; Corinne Antignac; Mitchell Guttman; Robert E Handsaker; Danielle Perrin; Scott Steelman; Snaevar Sigurdsson; Steven J Scheinman; Carrie Sougnez; Kristian Cibulskis; Melissa Parkin; Todd Green; Elizabeth Rossin; Michael C Zody; Ramnik J Xavier; Martin R Pollak; Seth L Alper; Kerstin Lindblad-Toh; Stacey Gabriel; P Suzanne Hart; Aviv Regev; Chad Nusbaum; Stanislav Kmoch; Anthony J Bleyer; Eric S Lander; Mark J Daly
Journal:  Nat Genet       Date:  2013-02-10       Impact factor: 38.330

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