Evidence map›Paper›PMID 39021813›Full record

ArticleClinical kidney journal2024

The role of genomic disorders in chronic kidney failure of undetermined aetiology ≤50 years.

Jeff Granhøj, Katja Venborg Pedersen, Mads Malik Aagaard, Jesper Aagaard Graakjaer, Dorte Launholt Lildballe, Henrik Birn, Maria Rasmussen

Abstract read
In one paragraph

Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

  1. Article
  2. Clinical kidney journal · 2025
    Article
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

7 authors.

Jeff GranhøjDepartment of Clinical Genetics, Lillebaelt Hospital-University Hospital of Southern Denmark, Vejle, Denmark.
Katja Venborg PedersenDepartment of Clinical Genetics, Lillebaelt Hospital-University Hospital of Southern Denmark, Vejle, Denmark.
Mads Malik AagaardDepartment of Clinical Genetics, Lillebaelt Hospital-University Hospital of Southern Denmark, Vejle, Denmark.
Jesper Aagaard GraakjaerDepartment of Clinical Genetics, Lillebaelt Hospital-University Hospital of Southern Denmark, Vejle, Denmark.
Dorte Launholt LildballeDepartment of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.
Henrik BirnDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Maria RasmussenDepartment of Clinical Genetics, Lillebaelt Hospital-University Hospital of Southern Denmark, Vejle, Denmark.ORCID https://orcid.org/0000-0003-1635-819X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Genomic disorders caused by copy number variations (CNVs) are prevalent in patients with kidney disease; however, their contribution to chronic kidney failure (KF) of undetermined aetiology (uKF) is unclear. We screened patients with uKF aged 50 years or younger to establish the prevalence of causative CNVs. Methods: We enrolled patients with an onset of KF ≤50 years from suspected undetermined aetiology for initial review of medical records to exclude patients with clear-cut clinical or histopathological kidney diagnoses or patients with already established genetic kidney diseases. Next, we performed single nucleotide polymorphism (SNP) array-based CNV screening. All the detected CNVs were systematically classified and evaluated as possible causes of the patient's kidney disease. Patients with CNVs not explaining the kidney phenotype were additionally screened for causal variants in 540 genes using whole-genome sequencing. Results: We enrolled 172 patients, of whom 123 underwent SNP-array. Pathogenic CNVs corresponding to known genomic disorders were identified in 12 patients (9.8%). The identified genomic disorders provided a causative kidney diagnosis in three patients, all of whom had reached KF by age 18 years. The remaining nine patients had CNVs with unclear kidney disease causality. Subsequently, whole-genome sequencing provided a causative genetic diagnosis in an additional four patients, including two diagnostic sequence variants unrelated to the detected CNVs. Conclusions: Genomic disorders were prevalent in this cohort with uKF, and causative CNVs were identified in 5 of 123 patients. Further studies combining the analysis of CNVs and sequence variants are needed to clarify the causal role of genomic disorders in kidney disease.

Indexed as

copy number variationsgenetic screeninggenomic disorderNPHP1undetermined kidney failure

Identifiers

PMID39021813
PMCPMC11252669

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