Evidence map›Paper›PMID 36100708›Full record

ArticleEuropean journal of human genetics : EJHG2022

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

Bernt Popp, Arif B Ekici, Karl X Knaup, Karen Schneider, Steffen Uebe, Jonghun Park, Vineet Bafna, Heike Meiselbach, Kai-Uwe Eckardt, Mario Schiffer and 3 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
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  6. Clinical kidney journal · 2025
    Article
  7. Utility of Genetic Testing in Adults with CKD: A Systematic Review and Meta-Analysis.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  8. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Bernt Popp *Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-3679-1081
Arif B Ekici *Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-6099-7066
Karl X KnaupDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Karen SchneiderDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Steffen UebeInstitute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Jonghun ParkDepartment of Computer Science & Engineering, University of California, San Diego, La Jolla, CA, USA.
Vineet BafnaDepartment of Computer Science & Engineering, University of California, San Diego, La Jolla, CA, USA.
Heike MeiselbachDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0001-5163-8264
Kai-Uwe EckardtDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Mario SchifferDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
André ReisInstitute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.ORCID http://orcid.org/0000-0002-6301-6363
Cornelia KrausInstitute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Michael WiesenerDepartment of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany. michael.wiesener@uk-erlangen.de.ORCID http://orcid.org/0000-0003-4992-3132
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity of California San Diego · US

Funding

Refining Mendelian disease analysis via detection of clinically relevant repeat variantsR01HG010149 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna, Vikas Bansal · 2018 to 2026
$4.5M
Computational methods for detecting patterns of complex genomic variationR01GM114362 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Vineet Bafna · 2016 to 2026
$3.1M
NHGRI NIH HHS R01 HG010149NIGMS NIH HHS R01 GM114362
6 · The paper itself

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.

Indexed as

Nephritis, HereditaryNephritis, InterstitialRenal Insufficiency, ChronicHumansMutationPrevalence

Identifiers

PMID36100708
PMCPMC9712573
OpenAlexW4295756088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.