Evidence map›Paper›PMID 27374918›Full record

ReviewNature reviews. Nephrology2016

The expanding phenotypic spectra of kidney diseases: insights from genetic studies.

Marijn F Stokman, Kirsten Y Renkema, Rachel H Giles, Franz Schaefer, Nine V A M Knoers, Albertien M van Eerde

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 78 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Chronic kidney disease in children: an update.Clinical kidney journal · 2023
    Review
  13. Review
  14. Organs-on-chip technology: a tool to tackle genetic kidney diseases.Pediatric nephrology (Berlin, Germany) · 2022
    Review
  15. Review
  16. Review
  17. Review
  18. Genetic testing in the diagnosis of chronic kidney disease: recommendations for clinical practice.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022
    Article
  19. OMICS in Chronic Kidney Disease: Focus on Prognosis and Prediction.International journal of molecular sciences · 2021
    Review
  20. Review
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

6 authors at 3 institutions in 2 countries.

Marijn F StokmanDepartment of Genetics, Center for Molecular Medicine, KC04.084.2, University Medical Center Utrecht, PO BOX: 85090 3508 AB Utrecht, The Netherlands.
Kirsten Y RenkemaDepartment of Genetics, Center for Molecular Medicine, KC04.084.2, University Medical Center Utrecht, PO BOX: 85090 3508 AB Utrecht, The Netherlands.
Rachel H GilesDepartment of Nephrology and Hypertension, University Medical Center Utrecht, Regenerative Medicine Center-Hubrecht Institute, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands.
Franz SchaeferDepartment of Paediatric Nephrology, University Children's Hospital Heidelberg, Im Neuenheimer Feld 430, Heidelberg BW69120, Germany.
Nine V A M KnoersDepartment of Genetics, Center for Molecular Medicine, KC04.084.2, University Medical Center Utrecht, PO BOX: 85090 3508 AB Utrecht, The Netherlands.
Albertien M van EerdeDepartment of Genetics, Center for Molecular Medicine, KC04.084.2, University Medical Center Utrecht, PO BOX: 85090 3508 AB Utrecht, The Netherlands.
Utrecht University · NLUniversity Medical Center Utrecht · NLUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) has led to the identification of previously unrecognized phenotypes associated with classic kidney disease genes. In addition to improving diagnostics for genetically heterogeneous diseases and enabling a faster rate of gene discovery, NGS has enabled an expansion and redefinition of nephrogenetic disease categories. Findings from these studies raise the question of whether disease diagnoses should be made on clinical grounds, on genetic evidence or a combination thereof. Here, we discuss the major kidney disease-associated genes and gene categories for which NGS has expanded the phenotypic spectrum. For example, COL4A3-5 genes, which are classically associated with Alport syndrome, are now understood to also be involved in the aetiology of focal segmental glomerulosclerosis. DGKE, which is associated with nephrotic syndrome, is also mutated in patients with atypical haemolytic uraemic syndrome. We examine how a shared genetic background between diverse clinical phenotypes can provide insight into the function of genes and novel links with essential pathophysiological mechanisms. In addition, we consider genetic and epigenetic factors that contribute to the observed phenotypic heterogeneity of kidney diseases and discuss the challenges in the interpretation of genetic data. Finally, we discuss the implications of the expanding phenotypic spectra associated with kidney disease genes for clinical practice, genetic counselling and personalized care, and present our recommendations for the use of NGS-based tests in routine nephrology practice.

Indexed as

Glomerulosclerosis, Focal SegmentalHigh-Throughput Nucleotide SequencingHumansKidney DiseasesMutationNephritis, HereditaryPhenotype

Identifiers

PMID27374918
OpenAlexW2460847139

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.