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Meta-analysis of African ancestry genome-wide association studies identified novel locus and validates multiple loci associated with kidney function.
Kintu, Christopher; Soremekun, Opeyemi; Machipisa, Tafadzwa; Mayanja, Richard; Kalyesubula, Robert; Bagaya, Bernard S; Jjingo, Daudi; Chikowore, Tinashe; Fatumo, Segun.
Affiliation
  • Kintu C; The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
  • Soremekun O; Department of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
  • Machipisa T; The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
  • Mayanja R; MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
  • Kalyesubula R; Department of Medicine, University of Cape Town & Groote Schuur Hospital, Cape Town, South Africa.
  • Bagaya BS; The African Computational Genomics (TACG) Research Group, MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
  • Jjingo D; Department of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
  • Chikowore T; MRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
  • Fatumo S; Department of Immunology and Molecular Biology, School of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
BMC Genomics ; 24(1): 496, 2023 Aug 29.
Article in En | MEDLINE | ID: mdl-37644460
ABSTRACT
Despite recent efforts to increase diversity in genome-wide association studies (GWASs), most loci currently associated with kidney function are still limited to European ancestry due to the underlying sample selection bias in available GWASs. We set out to identify susceptibility loci associated with estimated glomerular filtration rate (eGFRcrea) in 80027 individuals of African-ancestry from the UK Biobank (UKBB), Million Veteran Program (MVP), and Chronic Kidney Disease genetics (CKDGen) consortia.We identified 8 lead SNPs, 7 of which were previously associated with eGFR in other populations. We identified one novel variant, rs77408001 which is an intronic variant mapped to the ELN gene. We validated three previously reported loci at GATM-SPATA5L1, SLC15A5 and AGPAT3. Fine-mapping analysis identified variants rs77121243 and rs201602445 as having a 99.9% posterior probability of being causal. Our results warrant designing bigger studies within individuals of African ancestry to gain new insights into the pathogenesis of Chronic Kidney Disease (CKD), and identify genomic variants unique to this ancestry that may influence renal function and disease.
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Full text: 1 Database: MEDLINE Main subject: Renal Insufficiency, Chronic / Genome-Wide Association Study Type of study: Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2023 Type: Article Affiliation country: Uganda

Full text: 1 Database: MEDLINE Main subject: Renal Insufficiency, Chronic / Genome-Wide Association Study Type of study: Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: BMC Genomics Journal subject: GENETICA Year: 2023 Type: Article Affiliation country: Uganda