Evidence map›Paper›PMID 35772650›Full record

ArticleGene2022

Effects of genetic ancestry and socioeconomic deprivation on ethnic differences in serum creatinine.

Leonardo Mariño-Ramírez, Shivam Sharma, Lavanya Rishishwar, Andrew B Conley, Shashwat Deepali Nagar, I King Jordan

Open access · hybridAbstract read
In one paragraph

Article in Gene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Endocrine Alterations in Patients With Pachydermoperiostosis.The Journal of clinical endocrinology and metabolism · 2025
    Article
  4. Article
  5. African ancestry-enriched variants in themedRxiv : the preprint server for health sciences · 2025
    Article
  6. Review
  7. Observational
  8. Review
  9. Article
  10. Genetic variation inFrontiers in pharmacology · 2024
    Article
  11. Observational
  12. Review
  13. Article
  14. 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

6 authors at 2 institutions in 2 countries.

Leonardo Mariño-RamírezNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia. Electronic address: marino@nih.gov.
Shivam SharmaNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Lavanya RishishwarNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA.
Andrew B ConleyNational Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA; PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA.
Shashwat Deepali NagarPanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
I King JordanPanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; IHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, USA. Electronic address: king.jordan@biology.gatech.edu.
National Institutes of Health · USGeorgia Institute of Technology · US

Funding

Genomics and Biobank Research for Health EquityZIAMD000018 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI MARIÑO-RAMÍREZ, LEONARDO · 2020 to 2025
$2.7M
Epidemiology and Genomics of Health DisparitiesZIAMD000016 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI MARINO-RAMIREZ, LEONARDO · 2019 to 2021
$1.6M
Intramural NIH HHS Z99 MD999999Intramural NIH HHS ZIA MD000016Intramural NIH HHS ZIA MD000018Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

The inclusion of ethnicity in equations for estimating the glomerular filtration rate (eGFR) from serum creatinine levels has been challenged since ethnicity is socially defined and therefore a poor proxy for biological differences. We hypothesized that genetic ancestry (GA) would be more strongly associated with creatinine levels among healthy individuals than self-identified ethnicity. We studied a diverse cohort of 35,590 participants characterized as part of the UK Biobank, grouped by self-reported ethnicity: Black, East Asian, Mixed, Other, South Asian, and White. We used multivariable modeling to test for associations between ethnicity, GA, socioeconomic deprivation, and serum creatinine levels, including covariates for age, sex, height, and body mass index. Model fit comparisons and relative importance analysis were used to compare the effects of ethnicity and GA on creatinine levels. Black ethnicity shows a positive effect on participant serum creatinine levels (β = 9.36 ± 0.38), whereas East Asian (β = -1.80 ± 0.66) and South Asian (β = -0.28 ± 0.36) ethnicity show negative effects on creatinine. Male sex (β = 17.69 ± 0.34) and height (β = 0.13 ± 0.02) also show high positive associations with creatinine levels, while socioeconomic deprivation (β = -0.04 ± 0.04) shows no significant association. African ancestry has the highest association (β = 13.81 ± 0.52) with creatinine levels. Overall, GA (9.06%) explains significantly more of the variation in creatinine levels than ethnicity (4.96%), with African ancestry (6.36%) alone explaining more of the variation than ethnicity. We found that GA explains more of the variation in serum creatinine levels than socioeconomic deprivation, suggesting the possibility that ethnic differences in creatinine are shaped by genetic rather than social factors.

Indexed as

Asian PeopleEthnicityCreatinineGlomerular Filtration RateHumansMaleSocioeconomic FactorsCreatinineGlomerular filtration rateHealth disparitiesKidney functionRace and ethnicity

Identifiers

PMID35772650
PMCPMC9288982
OpenAlexW4283700745

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.