Evidence map›Paper›PMID 23438974›Full record

ArticleNature reviews. Nephrology2013

APOL1 variants and kidney disease in people of recent African ancestry.

Giulio Genovese, David J Friedman, Martin R Pollak

Abstract read
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In one paragraph

Article in Nature reviews. Nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 4 pooled it
–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

61 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Review
  7. Article
  8. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Frontiers in medicine · 2022
    Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Podocyte Lysosome Dysfunction in Chronic Glomerular Diseases.International journal of molecular sciences · 2020
    Review

1 more citing papers are in PubMed but not listed here.

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

3 authors.

Giulio GenoveseStanley Center, Broad Institute, Cambridge, MA 02142, USA.
David J Friedman
Martin R Pollak

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coding variants within the APOL1 gene have been associated with kidney disease, explaining an association that was previously attributed to variants within the neighbouring MYH9 gene. To better define the role of APOL1 in causing kidney disease in individuals of African ancestry, we performed an extensive survey of the common variation in the region surrounding the APOL1 gene, as seen through the lens of the 1000 Genomes Project. Arguing by exclusion, it is reasonable to conclude that the putative APOL1 causal variants are not proxies for any other variants with more direct roles in kidney disease. Our statistical argument is in part made possible by the exceptionally young age of the APOL1 coding variants coupled with the unusually high rate of genetic recombination surrounding this gene. Although no biological evidence currently exists for the causality of APOL1 variants with kidney disease, our statistical reasoning provides a strong case for causality, and a region to target in future functional studies.

Indexed as

Apolipoprotein L1ApolipoproteinsBlack PeopleGene FrequencyGenetic Predisposition to DiseaseGenetic VariationGenome, HumanHumansLinkage DisequilibriumLipoproteins, HDLRecombination, GeneticRenal Insufficiency, ChronicAPOL1 protein, humanApolipoprotein L1ApolipoproteinsLipoproteins, HDL

Identifiers

PMID23438974

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.