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Lookup NU author(s): Dr Eric OlingerORCiD, Dr Ian Wilson, Professor John SayerORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2024 International Society of NephrologyIntroduction: Single-nucleotide polymorphisms (SNPs) in the UMOD-PDILT genetic locus are associated with chronic kidney disease (CKD) in European populations, through their effect on urinary uromodulin (uUMOD) levels. The genetic and nongenetic factors associated with uUMOD in African populations remain unknown. Methods: Clinical parameters, 3 selected UMOD-PDILT SNPs and uUMOD levels were obtained in 1202 young Black and White adults from the African-PREDICT study and 1943 middle aged Black adults from the PURE-NWP-SA study, 2 cross-sectional, observational studies. Results: Absolute uUMOD and uUMOD/creatinine levels were lower in Black participants compared to White participants. The prime CKD-risk allele at rs12917707 was more prevalent in Black individuals, with strikingly more risk allele homozygotes compared to White individuals. Haplotype analysis of the UMOD-PDILT locus predicted more recombination events and linkage disequilibrium (LD) fragmentation in Black individuals. Multivariate testing and sensitivity analysis showed that higher uUMOD/creatinine associated specifically with risk alleles at rs12917707 and rs12446492 in White participants and with higher serum renin and lower urine albumin-to-creatinine ratio in Black participants, with a significant interaction of ethnicity on the relationship between all 3 SNPs and uUMOD/creatinine. The multiple regression model explained a greater percentage of the variance of uUMOD/creatinine in White adults compared to Black adults (23% vs. 8%). Conclusion: We evidenced ethnic differences in clinical and genetic determinants of uUMOD levels, in particular an interaction of ethnicity on the relationship between CKD-risk SNPs and uUMOD. These differences should be considered when analyzing the role of uromodulin in kidney function, interpreting genome-wide association studies (GWAS), and precision medicine recommendations.
Author(s): Strauss-Kruger M, Olinger E, Hofmann P, Wilson IJ, Mels C, Kruger R, Gafane-Matemane LF, Sayer JA, Ricci C, Schutte AE, Devuyst O
Publication type: Article
Publication status: Published
Journal: Kidney International Reports
Year: 2024
Pages: epub ahead of print
Online publication date: 21/09/2024
Acceptance date: 16/09/2024
Date deposited: 11/11/2024
ISSN (electronic): 2468-0249
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.ekir.2024.09.015
DOI: 10.1016/j.ekir.2024.09.015
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