Evidence mapPaperPMID 41813856Full record

ReviewNature reviews. Nephrology2026

'Missing' disease-causing variants in Alport syndrome.

Judy Savige, Adam M Bournazos, Tomoko Horinouchi, Bryony A Thompson, Yanqin Zhang, Julia Hoefele, Mary Huang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Autosomal Dominant Alport Syndrome.Journal of the American Society of Nephrology : JASN · 2026
    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

7 authors.

Judy SavigeThe University of Melbourne Department of Medicine, Melbourne Health and Northern Health, Royal Melbourne Hospital, Parkville, Victoria, Australia. jasavige@unimelb.edu.au.ORCID http://orcid.org/0000-0002-6813-0288
Adam M BournazosThe Children's Medical Research Institute, Westmead, New South Wales, Australia.
Tomoko HorinouchiDepartment of Paediatrics, Kobe University Graduate School of Medicine, Kobe, Japan.ORCID http://orcid.org/0000-0003-1655-6030
Bryony A ThompsonMolecular Genetics, Melbourne Health, Parkville, Victoria, Australia.
Yanqin ZhangDepartment of Paediatrics, Peking University First Hospital, Beijing, China.
Julia HoefeleInstitute of Human Genetics, University Hospital, Ludwig-Maximilians University, Munich, Germany.ORCID http://orcid.org/0000-0002-7917-7129
Mary HuangThe University of Melbourne Department of Medicine, Melbourne Health and Northern Health, Royal Melbourne Hospital, Parkville, Victoria, Australia.ORCID http://orcid.org/0009-0000-0699-960X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to 20% of people with clinically suspected Alport syndrome do not have a disease-causing variant identified with genetic testing. Disease-causing changes are 'missing' because the identified variant is of uncertain significance or no suspicious change has been found. A variant of uncertain significance might be resolved after a clinician-laboratory consultation, family segregation studies, functional assays, evidence from large case-control cohorts or review after further genetic and experimental information becomes available. Other explanations for a lack of disease-causing variants include the presence of phenocopies such as IgA nephropathy, technical issues associated with whole-exome sequencing and difficulties in identifying and computationally assessing non-canonical splicing variants, including deep intronic and synonymous changes. Candidate splicing variants might be identified using whole-exome, whole-genome or long-read sequencing, prioritized bioinformatically, and validated with targeted RNA sequencing or splicing assays. People with suspected Alport syndrome but no identified disease-causing variant should be managed as for Alport syndrome while awaiting confirmation of their diagnosis. Missing disease-causing variants are also common in other genetic kidney diseases, and the methods used for their resolution are the same. Our current inability to detect all disease-causing variants means that the contribution of genetic disease is underestimated for kidney phenotypes.

Indexed as

Nephritis, HereditaryGenetic TestingGenetic VariationHumans

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.