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Genome-wide association analysis of cystatin-C kidney function in continental Africa

BACKGROUND: Chronic kidney disease is becoming more prevalent in Africa, and its genetic determinants are poorly understood. Creatinine-based estimated glomerular filtration rate (eGFR) is commonly used to estimate kidney function, modelling the excretion of the endogenous biomarker (creatinine). Ho...

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Autores principales: Mayanja, Richard, Machipisa, Tafadzwa, Soremekun, Opeyemi, Kamiza, Abram B., Kintu, Christopher, Kalungi, Allan, Kalyesubula, Robert, Sande, Obondo J., Jjingo, Daudi, Fabian, June, Robinson-Cohen, Cassianne, Franceschini, Nora, Nitsch, Dorothea, Nyirenda, Moffat, Zeggini, Eleftheria, Morris, Andrew P., Chikowore, Tinashe, Fatumo, Segun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474146/
https://www.ncbi.nlm.nih.gov/pubmed/37639939
http://dx.doi.org/10.1016/j.ebiom.2023.104775
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author Mayanja, Richard
Machipisa, Tafadzwa
Soremekun, Opeyemi
Kamiza, Abram B.
Kintu, Christopher
Kalungi, Allan
Kalyesubula, Robert
Sande, Obondo J.
Jjingo, Daudi
Fabian, June
Robinson-Cohen, Cassianne
Franceschini, Nora
Nitsch, Dorothea
Nyirenda, Moffat
Zeggini, Eleftheria
Morris, Andrew P.
Chikowore, Tinashe
Fatumo, Segun
author_facet Mayanja, Richard
Machipisa, Tafadzwa
Soremekun, Opeyemi
Kamiza, Abram B.
Kintu, Christopher
Kalungi, Allan
Kalyesubula, Robert
Sande, Obondo J.
Jjingo, Daudi
Fabian, June
Robinson-Cohen, Cassianne
Franceschini, Nora
Nitsch, Dorothea
Nyirenda, Moffat
Zeggini, Eleftheria
Morris, Andrew P.
Chikowore, Tinashe
Fatumo, Segun
author_sort Mayanja, Richard
collection PubMed
description BACKGROUND: Chronic kidney disease is becoming more prevalent in Africa, and its genetic determinants are poorly understood. Creatinine-based estimated glomerular filtration rate (eGFR) is commonly used to estimate kidney function, modelling the excretion of the endogenous biomarker (creatinine). However, eGFR based on creatinine has been shown to inadequately detect individuals with low kidney function in Sub-Saharan Africa, with eGFR based on cystatin-C (eGFRcys) exhibiting significantly superior performance. Therefore, we opted to conduct a GWAS for eGFRcys. METHODS: Using the Uganda Genomic Resource, we performed a genome-wide association study (GWAS) of eGFRcys in 5877 Ugandans and evaluated replication in independent studies. Subsequently, putative causal variants were screened through Bayesian fine-mapping. Functional annotation of the GWAS loci was performed using Functional Mapping and Annotation (FUMA). FINDINGS: Three independent lead single nucleotide polymorphisms (SNPs) (P-value <5 × 10(−8) (based on likelihood ratio test (LRT))) were identified; rs59288815 (ANK3), rs4277141 (OR51B5) and rs911119 (CST3). From fine-mapping, rs59288815 and rs911119 each had a posterior probability of causality of >99%. The rs911119 SNP maps to the cystatin C gene and has been previously associated with eGFRcys among Europeans. With gene-set enrichment analyses of the olfactory receptor family 51 overlapping genes, we identified an association with the G-alpha-S signalling events. INTERPRETATION: Our study found two previously unreported associated SNPs for eGFRcys in continental Africans (rs59288815 and rs4277141) and validated a previously well-established SNP (rs911119) for eGFRcys. The identified gene-set enrichment for the G-protein signalling pathways relates to the capacity of the kidney to readily adapt to an ever-changing environment. Additional GWASs are required to represent the diverse regions in Africa. FUNDING: 10.13039/100004440Wellcome (220740/Z/20/Z).
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spelling pubmed-104741462023-09-03 Genome-wide association analysis of cystatin-C kidney function in continental Africa Mayanja, Richard Machipisa, Tafadzwa Soremekun, Opeyemi Kamiza, Abram B. Kintu, Christopher Kalungi, Allan Kalyesubula, Robert Sande, Obondo J. Jjingo, Daudi Fabian, June Robinson-Cohen, Cassianne Franceschini, Nora Nitsch, Dorothea Nyirenda, Moffat Zeggini, Eleftheria Morris, Andrew P. Chikowore, Tinashe Fatumo, Segun eBioMedicine Articles BACKGROUND: Chronic kidney disease is becoming more prevalent in Africa, and its genetic determinants are poorly understood. Creatinine-based estimated glomerular filtration rate (eGFR) is commonly used to estimate kidney function, modelling the excretion of the endogenous biomarker (creatinine). However, eGFR based on creatinine has been shown to inadequately detect individuals with low kidney function in Sub-Saharan Africa, with eGFR based on cystatin-C (eGFRcys) exhibiting significantly superior performance. Therefore, we opted to conduct a GWAS for eGFRcys. METHODS: Using the Uganda Genomic Resource, we performed a genome-wide association study (GWAS) of eGFRcys in 5877 Ugandans and evaluated replication in independent studies. Subsequently, putative causal variants were screened through Bayesian fine-mapping. Functional annotation of the GWAS loci was performed using Functional Mapping and Annotation (FUMA). FINDINGS: Three independent lead single nucleotide polymorphisms (SNPs) (P-value <5 × 10(−8) (based on likelihood ratio test (LRT))) were identified; rs59288815 (ANK3), rs4277141 (OR51B5) and rs911119 (CST3). From fine-mapping, rs59288815 and rs911119 each had a posterior probability of causality of >99%. The rs911119 SNP maps to the cystatin C gene and has been previously associated with eGFRcys among Europeans. With gene-set enrichment analyses of the olfactory receptor family 51 overlapping genes, we identified an association with the G-alpha-S signalling events. INTERPRETATION: Our study found two previously unreported associated SNPs for eGFRcys in continental Africans (rs59288815 and rs4277141) and validated a previously well-established SNP (rs911119) for eGFRcys. The identified gene-set enrichment for the G-protein signalling pathways relates to the capacity of the kidney to readily adapt to an ever-changing environment. Additional GWASs are required to represent the diverse regions in Africa. FUNDING: 10.13039/100004440Wellcome (220740/Z/20/Z). Elsevier 2023-08-26 /pmc/articles/PMC10474146/ /pubmed/37639939 http://dx.doi.org/10.1016/j.ebiom.2023.104775 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Articles
Mayanja, Richard
Machipisa, Tafadzwa
Soremekun, Opeyemi
Kamiza, Abram B.
Kintu, Christopher
Kalungi, Allan
Kalyesubula, Robert
Sande, Obondo J.
Jjingo, Daudi
Fabian, June
Robinson-Cohen, Cassianne
Franceschini, Nora
Nitsch, Dorothea
Nyirenda, Moffat
Zeggini, Eleftheria
Morris, Andrew P.
Chikowore, Tinashe
Fatumo, Segun
Genome-wide association analysis of cystatin-C kidney function in continental Africa
title Genome-wide association analysis of cystatin-C kidney function in continental Africa
title_full Genome-wide association analysis of cystatin-C kidney function in continental Africa
title_fullStr Genome-wide association analysis of cystatin-C kidney function in continental Africa
title_full_unstemmed Genome-wide association analysis of cystatin-C kidney function in continental Africa
title_short Genome-wide association analysis of cystatin-C kidney function in continental Africa
title_sort genome-wide association analysis of cystatin-c kidney function in continental africa
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474146/
https://www.ncbi.nlm.nih.gov/pubmed/37639939
http://dx.doi.org/10.1016/j.ebiom.2023.104775
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