Evidence map›Paper›PMID 31738409›Full record

ArticleNephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association2021

Targeted broad-based genetic testing by next-generation sequencing informs diagnosis and facilitates management in patients with kidney diseases.

M Adela Mansilla, Ramakrishna R Sompallae, Carla J Nishimura, Anne E Kwitek, Mycah J Kimble, Margaret E Freese, Colleen A Campbell, Richard J Smith, Christie P Thomas

Abstract read
In one paragraph

Article in Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Genetic Testing in the Management of Adult CKD.Journal of the American Society of Nephrology : JASN · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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
  12. Article
  13. Advancing Genetic Testing in Kidney Diseases: Report From a National Kidney Foundation Working Group.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Review
  14. The Role of Genetic Testing in Adult CKD.Journal of the American Society of Nephrology : JASN · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. International journal of molecular sciences · 2023
    Review
  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

9 authors.

M Adela MansillaIowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA.
Ramakrishna R SompallaeIowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA.
Carla J NishimuraIowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA.
Anne E KwitekPhysiology, Medical College of Wisconsin, Iowa City, IA, USA.
Mycah J KimbleIowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA.
Margaret E FreeseInternal Medicine, University of Iowa, Iowa City, IA, USA.
Colleen A CampbellIowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA.
Richard J SmithIowa Institute of Human Genetics, University of Iowa, Iowa City, IA, USA.
Christie P ThomasInternal Medicine, University of Iowa, Iowa City, IA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical diagnosis of genetic renal diseases may be limited by the overlapping spectrum of manifestations between diseases or by the advancement of disease where clues to the original process are absent. The objective of this study was to determine whether genetic testing informs diagnosis and facilitates management of kidney disease patients.

methodsWe developed a comprehensive genetic testing panel (KidneySeq) to evaluate patients with various phenotypes including cystic diseases, congenital anomalies of the kidney and urinary tract (CAKUT), tubulointerstitial diseases, transport disorders and glomerular diseases. We evaluated this panel in 127 consecutive patients ranging in age from newborns to 81 years who had samples sent in for genetic testing.

resultsThe performance of the sequencing pipeline for single-nucleotide variants was validated using CEPH (Centre de'Etude du Polymorphism) controls and for indels using Genome-in-a-Bottle. To test the reliability of the copy number variant (CNV) analysis, positive samples were re-sequenced and analyzed. For patient samples, a multidisciplinary review board interpreted genetic results in the context of clinical data. A genetic diagnosis was made in 54 (43%) patients and ranged from 54% for CAKUT, 53% for ciliopathies/tubulointerstitial diseases, 45% for transport disorders to 33% for glomerulopathies. Pathogenic and likely pathogenic variants included 46% missense, 11% nonsense, 6% splice site variants, 23% insertion-deletions and 14% CNVs. In 13 cases, the genetic result changed the clinical diagnosis.

conclusionBroad genetic testing should be considered in the evaluation of renal patients as it complements other tests and provides insight into the underlying disease and its management.

Indexed as

DNA Copy Number VariationsMutationAdolescentAdultAgedAged, 80 and overBiomarkersChildChild, PreschoolFemaleGenetic TestingHigh-Throughput Nucleotide SequencingHumansInfantInfant, NewbornKidney DiseasesBiomarkerscopy number variantsgenetic kidney diseasemassively parallel sequencingtargeted gene panel

Identifiers

PMID31738409
PMCPMC7834596

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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.