Evidence map›Paper›PMID 28780565›Full record

ArticleJournal of medical genetics2017

Clinical genetic testing using a custom-designed steroid-resistant nephrotic syndrome gene panel: analysis and recommendations.

Ethan S Sen, Philip Dean, Laura Yarram-Smith, Agnieszka Bierzynska, Geoff Woodward, Chris Buxton, Gemma Dennis, Gavin I Welsh, Maggie Williams, Moin A Saleem

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Spectrum of Alport syndrome in an Indian cohort.Pediatric nephrology (Berlin, Germany) · 2025
    Article
  10. 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
  11. Article
  12. Article
  13. Article
  14. Explaining Alport syndrome-lessons from the adult nephrology clinic.Journal of rare diseases (Berlin, Germany) · 2024
    Review
  15. Article
  16. The Phenotypic Spectrum ofKidney international reports · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors at 3 institutions in 1 country.

Ethan S SenBristol Renal, School of Clinical Sciences, University of Bristol, Bristol, UK.
Philip DeanBristol Genetics Laboratory, Southmead Hospital, Bristol, UK.
Laura Yarram-SmithBristol Genetics Laboratory, Southmead Hospital, Bristol, UK.
Agnieszka BierzynskaBristol Renal, School of Clinical Sciences, University of Bristol, Bristol, UK.
Geoff WoodwardBristol Genetics Laboratory, Southmead Hospital, Bristol, UK.
Chris BuxtonBristol Genetics Laboratory, Southmead Hospital, Bristol, UK.
Gemma DennisBristol Genetics Laboratory, Southmead Hospital, Bristol, UK.
Gavin I WelshBristol Renal, School of Clinical Sciences, University of Bristol, Bristol, UK.
Maggie WilliamsBristol Genetics Laboratory, Southmead Hospital, Bristol, UK.
Moin A SaleemBristol Renal, School of Clinical Sciences, University of Bristol, Bristol, UK.
Southmead Hospital · GBUniversity of Bristol · GBBristol Royal Hospital for Children · GB

Funding

Medical Research Council G0800571
6 · The paper itself

Abstract

backgroundThere are many single-gene causes of steroid-resistant nephrotic syndrome (SRNS) and the list continues to grow rapidly. Prompt comprehensive diagnostic testing is key to realising the clinical benefits of a genetic diagnosis. This report describes a bespoke-designed, targeted next-generation sequencing (NGS) diagnostic gene panel assay to detect variants in 37 genes including the ability to identify copy number variants (CNVs).

methodsThis study reports results of 302 patients referred for SRNS diagnostic gene panel analysis. Phenotype and clinical impact data were collected using a standard proforma. Candidate variants detected by NGS were confirmed by Sanger sequencing/Multiplex Ligation-dependent Probe Amplification with subsequent family segregation analysis where possible.

resultsClinical presentation was nephrotic syndrome in 267 patients and suspected Alport syndrome (AS) in 35. NGS panel testing determined a likely genetic cause of disease in 44/220 (20.0%) paediatric and 10/47 (21.3%) adult nephrotic cases, and 17/35 (48.6%) of haematuria/AS patients. Of 71 patients with genetic disease, 32 had novel pathogenic variants without a previous disease association including two with deletions of one or more exons of

conclusionGene panel testing provides a genetic diagnosis in a significant number of patients presenting with SRNS or suspected AS. It should be undertaken at an early stage of the care pathway and include the ability to detect CNVs as an emerging mechanism for genes associated with this condition. Use of clinical genetic testing after diagnosis of SRNS has the potential to stratify patients and assist decision-making regarding management.

Indexed as

Genetic TestingAdolescentAge of OnsetChildChild, PreschoolDrug ResistanceFemaleGene Expression ProfilingGenetic Association StudiesGenetic VariationHumansInfantInfant, NewbornMaleNephrotic SyndromePhenotypeSteroidsAlport syndromeFocal segmental glomerulosclerosisFSGSGene panel testingNext generation sequencingPodocyteSRNSSteroid-resistant nephrotic syndrome

Identifiers

PMID28780565
PMCPMC5740557
OpenAlexW2744758050

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.