Evidence map›Paper›PMID 26112018›Full record

ArticleBMC genetics2015

APOL1 genetic variants, chronic kidney diseases and hypertension in mixed ancestry South Africans.

Tandi E Matsha, Andre P Kengne, Katya L Masconi, Yandiswa Y Yako, Rajiv T Erasmus

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Multiethnic prevalence of theClinical kidney journal · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. APOL1-Associated Kidney Disease in Brazil.Kidney international reports · 2019
    Article
  11. Article
  12. 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

5 authors at 3 institutions in 1 country.

Tandi E MatshaDepartment of Biomedical Sciences, Faculty of Health and Wellness Science, Cape Peninsula University of Technology, PO Box 1906, Bellville, Cape Town, 7530, South Africa. matshat@cput.ac.za.
Andre P KengneNon-Communicable Diseases Research Unit, South African Medical Research Council & University of Cape Town, Cape Town, South Africa. apkengne@yahoo.com.
Katya L MasconiDepartment of Surgery, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa. kmasconi@gmail.com.
Yandiswa Y YakoDepartment of Surgery, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa. Yandiswa.Yako@wits.ac.za.
Rajiv T ErasmusDivision of Chemical Pathology, Faculty of Health Sciences, National Health Laboratory Service (NHLS) and University of Stellenbosch, Cape Town, South Africa. erasmusrajiv@gmail.com.
University of the Witwatersrand · ZACape Peninsula University of Technology · ZASouth African Medical Research Council · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe frequencies of apolipoprotein L1 (APOL1) variants and their associations with chronic kidney disease (CKD) vary substantially in populations from Africa. Moreover, available studies have used very small sample sizes to provide reliable estimates of the frequencies of these variants in the general population. We determined the frequency of the two APOL1 risk alleles (G1 and G2) and investigated their association with renal traits in a relatively large sample of mixed-ancestry South Africans. APOL1 risk variants (G1: rs60910145 and rs73885319; G2: rs71785313) were genotyped in 859 African mixed ancestry individuals using allele-specific TaqMan technology. Glomerular filtration rate (eGFR) was estimated using the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations.

resultsThe frequencies of rs73885319, rs60910145 and rs71785313 risk alleles were respectively, 3.6%, 3.4%, and 5.8%, resulting in a 1.01% frequency of the APOL1 two-risk allele (G1:G1 or G1:G2 or G2:G2). The presence of the two-risk allele increased serum creatinine with a corresponding reduction in eGFR (either MDRD or CKD-EPI based). In dominant and log-additive genetic models, significant associations were found between rs71785313 and systolic blood pressure (both p ≤ 0.025), with a significant statistical interaction by diabetes status, p = 0.022, reflecting a negative non-significant effect in nondiabetics and a positive effect in diabetics.

conclusionsAlthough the APOL1 variants are not common in the mixed ancestry population of South Africa, the study does provide an indication that APOL1 variants may play a role in conferring an increased risk for renal and cardiovascular risk in this population.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationAdultAgedAllelesApolipoprotein L1ApolipoproteinsBlack PeopleComorbidityFemaleGene FrequencyGenotypeHumansHypertensionLipoproteins, HDLMaleAPOL1 protein, humanApolipoprotein L1ApolipoproteinsLipoproteins, HDL

Identifiers

PMID26112018
PMCPMC4482162
OpenAlexW1507612693

What OpenQuestion holds

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LicenceCC BY
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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.