Evidence map›Paper›PMID 40932798›Full record

ReviewJournal of the American Society of Nephrology : JASN2026

Fifty Shades of Risk: Population Studies and the Genetic Architecture of Kidney Diseases.

Omid Sadeghi-Alavijeh, Melanie M Y Chan, Horia Stanescu, Daniel P Gale, Detlef Bockenhauer

Abstract readReview
In one paragraph

Review in Journal of the American Society of Nephrology : JASN, 2026. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Omid Sadeghi-AlavijehUCL Centre for Kidney and Bladder Health, University College London, London, United Kingdom.ORCID 0000-0002-7753-0662
Melanie M Y ChanMedical Research Council Laboratory of Medical Sciences, Imperial College London, London, United Kingdom.ORCID 0000-0003-1968-1734
Horia StanescuUCL Centre for Kidney and Bladder Health, University College London, London, United Kingdom.ORCID 0000-0001-5853-5030
Daniel P GaleUCL Centre for Kidney and Bladder Health, University College London, London, United Kingdom.ORCID 0000-0002-9170-1579
Detlef BockenhauerUCL Centre for Kidney and Bladder Health, University College London, London, United Kingdom.ORCID 0000-0001-5878-941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetics is transforming medicine, providing the possibility of highly specific diagnoses, which in turn allow molecularly defined cohort studies that facilitate detailed insights into gene-specific or even variant-specific prognosis and treatments. Yet, our understanding of genetic variation is changing. Previously, genetic testing typically resulted in a binary result, where an underlying genetic cause was either identified or not. With the increasing availability of population genomic data, a more nuanced view is emerging. Many disease-associated variants can also be identified in the unaffected population, and the degree of enrichment in affected persons informs on the variant-associated risk. Whereas some variants have virtually complete penetrance, conforming to the old binary paradigm, others are just mildly enriched and thus may explain only part of the etiology. Moreover, the traditional paradigm of rare variants causing rare diseases, while common variants affect common disorders is changing as we recognize that rare variants constitute most of the overall genetic variation and thus contribute a much higher proportion of the heritability of common disorders than previously thought. Conversely, examples are emerging of common variants that contribute to rare recessive disorders. These insights from population genetics not only inform variant interpretation but also affect genetic counseling, especially if testing was conducted in a clinically unaffected individual, for instance in the context of cascade screening in the family of an affected relative. Depending on the variant-specific associated disease risk, a genetic testing result may not allow a clear distinction between affected and unaffected but only a prediction of the risk for developing the associated disease.

Indexed as

Genetics, PopulationKidney DiseasesGenetic Predisposition to DiseaseGenetic TestingGenetic VariationHumansgenetic kidney diseasehuman geneticsmolecular geneticsrisk factors

Identifiers

PMID40932798
PMCPMC12889971

What OpenQuestion holds

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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.