Evidence map›Paper›PMID 26025194›Full record

ArticleBMC genomics2015

APOL1 G1 genotype modifies the association between HDLC and kidney function in African Americans.

Amy R Bentley, Jasmin Divers, Daniel Shriner, Ayo P Doumatey, Orlando M Gutiérrez, Adebowale A Adeyemo, Barry I Freedman, Charles N Rotimi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Association ofCirculation · 2019
    Article
  5. The African diaspora: history, adaptation and health.Current opinion in genetics & development · 2016
    Review
  6. Apolipoprotein L1 and Kidney Disease in African Americans.Trends in endocrinology and metabolism: TEM · 2016
    Review
  7. The Apolipoprotein L1 Gene and Cardiovascular Disease.Methodist DeBakey cardiovascular journal
    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

8 authors at 1 institution in 1 country.

Amy R BentleyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. amy.bentley@nih.gov.
Jasmin DiversDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA. jdivers@wakehealth.edu.
Daniel ShrinerCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. shrinerda@mail.nih.gov.
Ayo P DoumateyCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. doumateya@mail.nih.gov.
Orlando M GutiérrezDivision of Nephrology, University of Alabama at Birmingham, Birmingham, AL, USA. ogutierr@uab.edu.
Adebowale A AdeyemoCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. adeyemoa@mail.nih.gov.
Barry I FreedmanDepartment of Internal Medicine/Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA. bfreedma@wakehealth.edu.
Charles N RotimiCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. rotimic@mail.nih.gov.
National Human Genome Research Institute · US

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
UVDM01RR010284 · NCRR · HOWARD UNIVERSITY · PI TAYLOR, ROBERT E. · 1996 to 2010
$17.4M
The Howard University SCORE Program Supplemental GrantS06GM008016 · NIGMS · HOWARD UNIVERSITY · PI ADEYEMO, ADEBOWALE A · 1989 to 2009
$16.1M
Understanding Obesity In Relation to the Built EnvironmentP20MD006899 · NIMHD · JACKSON STATE UNIVERSITY · PI ANTOINE-LAVIGNE, DONNA A · 2012 to 2016
$5.3M
Genetic Analysis of African American Hypertensive End-Stage Renal DiseaseR01DK070941 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 2006 to 2015
$4.7M
Natural History of MYH9-Associated NephropathyR01DK084149 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 2009 to 2012
$2.3M
Genetic epidemiology of complex diseasesZ01HG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2008 to 2008
$1.7M
GWA for Gene-Environment Interaction Effects Influencing CHDU01HG004402 · NHGRI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI BOERWINKLE, ERIC A. · 2007 to 2009
$1.6M
Intramural NIH HHS Z01 HG200362NCRR NIH HHS 2M01RR010284NCRR NIH HHS M01 RR010284NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01HG004402NHGRI NIH HHS Z01HG200362NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNIDDK NIH HHS DK070941NIDDK NIH HHS DK084149NIDDK NIH HHS R01 DK070941NIDDK NIH HHS R01 DK084149NIGMS NIH HHS S06GM008016-320107NIGMS NIH HHS S06GM008016-380111NIMHD NIH HHS P20 MD006899
6 · The paper itself

Abstract

backgroundDespite evidence of an association between variants at the apolipoprotein L1 gene (APOL1) locus and a spectrum of related kidney diseases, underlying biological mechanisms remain unknown. An earlier preliminary study published by our group showed that an APOL1 variant (rs73885319) modified the association between high-density lipoprotein cholesterol (HDLC) and estimated glomerular filtration rate (eGFR) in African Americans. To further understand this relationship, we evaluated the interaction in two additional large cohorts of African Americans for a total of 3,592 unrelated individuals from the Howard University Family Study (HUFS), the Natural History of APOL1-Associated Nephropathy Study (NHAAN), and the Atherosclerosis Risk in Communities Study (ARIC). The association between HDLC and eGFR was determined using linear mixed models, and the interaction between rs73885319 genotype and HDLC was evaluated using a multiplicative term.

resultsAmong individuals homozygous for the risk genotype, a strong inverse HDLC-eGFR association was observed, with a positive association in others (p for the interaction of the rs73885319 × HDLC =0.0001). The interaction was similar in HUFS and NHAAN, and attenuated in ARIC. Given that ARIC participants were older, we investigated an age effect; age was a significant modifier of the observed interaction. When older individuals were excluded, the interaction in ARIC was similar to that in the other studies.

conclusionsBased on these findings, it is clear that the relationship between HDLC and eGFR is strongly influenced by the APOL1 rs73885319 kidney risk genotype. Moreover, the degree to which this variant modifies the association may depend on the age of the individual. More detailed physiological studies are warranted to understand how rs73885319 may affect the relationship between HDLC and eGFR in individuals with and without disease and across the lifespan.

Indexed as

AllelesApolipoprotein L1ApolipoproteinsBlack or African AmericanCholesterol, HDLFemaleGene FrequencyGenotypeGlomerular Filtration RateHaplotypesHumansKidneyKidney DiseasesLipoproteins, HDLMaleMiddle AgedAPOL1 protein, humanApolipoprotein L1ApolipoproteinsCholesterol, HDLLipoproteins, HDL

Identifiers

PMID26025194
PMCPMC4448293
OpenAlexW1523254613

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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.