Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1785100427911495680 |
---|---|
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). |
format | Online Article Text |
id | pubmed-10474146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mayanjarichard genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT machipisatafadzwa genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT soremekunopeyemi genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT kamizaabramb genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT kintuchristopher genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT kalungiallan genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT kalyesubularobert genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT sandeobondoj genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT jjingodaudi genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT fabianjune genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT robinsoncohencassianne genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT franceschininora genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT nitschdorothea genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT nyirendamoffat genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT zegginieleftheria genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT morrisandrewp genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT chikoworetinashe genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica AT fatumosegun genomewideassociationanalysisofcystatinckidneyfunctionincontinentalafrica |