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


Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
30 Aug 2022
Historique:
received: 17 06 2022
accepted: 24 06 2022
pubmed: 1 7 2022
medline: 20 7 2022
entrez: 30 6 2022
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 35772650
pii: S0378-1119(22)00528-5
doi: 10.1016/j.gene.2022.146709
pmc: PMC9288982
mid: NIHMS1820263
pii:
doi:

Substances chimiques

Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

146709

Subventions

Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : Intramural NIH HHS
ID : ZIA MD000016
Pays : United States
Organisme : Intramural NIH HHS
ID : Z99 MD999999
Pays : United States
Organisme : Intramural NIH HHS
ID : ZIA MD000018
Pays : United States
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom

Informations de copyright

Published by Elsevier B.V.

Références

Nat Genet. 2021 Feb;53(2):185-194
pubmed: 33462484
Science. 2008 Feb 22;319(5866):1100-4
pubmed: 18292342
Genome Biol. 2016 Jul 14;17(1):157
pubmed: 27418169
N Engl J Med. 2021 Nov 4;385(19):1750-1760
pubmed: 34554660
Ann Intern Med. 1999 Mar 16;130(6):461-70
pubmed: 10075613
Science. 2016 Feb 5;351(6273):564-5
pubmed: 26912690
Science. 2020 Mar 20;367(6484):
pubmed: 32193295
Ann Intern Med. 2006 Aug 15;145(4):247-54
pubmed: 16908915
J Am Heart Assoc. 2015 Jan 14;4(1):e001467
pubmed: 25589536
Nature. 2016 Oct 12;538(7624):161-164
pubmed: 27734877
Am J Hum Genet. 2016 Mar 3;98(3):456-472
pubmed: 26924531
BMC Genomics. 2011 Dec 20;12:622
pubmed: 22185208
Am J Kidney Dis. 2003 Oct;42(4):677-84
pubmed: 14520617
Nature. 2011 Jul 13;475(7355):163-5
pubmed: 21753830
J Am Soc Nephrol. 2009 Nov;20(11):2305-13
pubmed: 19833901
Gigascience. 2015 Feb 25;4:7
pubmed: 25722852
Int J Epidemiol. 2008 Apr;37(2):234-44
pubmed: 18381398
N Engl J Med. 2021 Mar 25;384(12):1163-1167
pubmed: 33567186
Ann Intern Med. 2009 May 5;150(9):604-12
pubmed: 19414839
Nature. 2018 Oct;562(7726):203-209
pubmed: 30305743
N Engl J Med. 2021 Feb 4;384(5):474-480
pubmed: 33406325
Clin J Am Soc Nephrol. 2020 Aug 7;15(8):1203-1212
pubmed: 32393465
Nat Rev Genet. 2015 Dec;16(12):727-40
pubmed: 26553329
Nature. 2015 Oct 1;526(7571):68-74
pubmed: 26432245
BMC Genomics. 2017 Jan 5;18(1):26
pubmed: 28056765
Nat Rev Nephrol. 2020 Jan;16(1):51-64
pubmed: 31527790
Health Psychol. 2016 Apr;35(4):407-11
pubmed: 27018733
N Engl J Med. 2020 Aug 27;383(9):874-882
pubmed: 32853499
Science. 2020 Sep 11;369(6509):1313-1314
pubmed: 32913094
Lancet Public Health. 2018 Dec;3(12):e576-e585
pubmed: 30467019
JAMA Intern Med. 2020 May 1;180(5):793-795
pubmed: 32176270
Clin Chim Acta. 1971 May;32(3):485-6
pubmed: 5096960
J Am Soc Nephrol. 2015 Jul;26(7):1682-92
pubmed: 25349204
PLoS Genet. 2019 Sep 23;15(9):e1008225
pubmed: 31545791
EClinicalMedicine. 2021 Jun 14;37:100960
pubmed: 34386746
Kidney Int. 1994 Mar;45(3):907-11
pubmed: 8196296
JAMA. 2019 Jul 9;322(2):113-114
pubmed: 31169890
G3 (Bethesda). 2017 Oct 5;7(10):3435-3447
pubmed: 28855283

Auteurs

Leonardo Mariño-Ramírez (L)

National 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 Sharma (S)

National 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 Rishishwar (L)

National 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 Conley (AB)

National 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 Nagar (SD)

PanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.

I King Jordan (IK)

PanAmerican 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.

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