Meta-analysis of African ancestry genome-wide association studies identified novel locus and validates multiple loci associated with kidney function

被引：0
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作者：
Christopher Kintu
Opeyemi Soremekun
Tafadzwa Machipisa
Richard Mayanja
Robert Kalyesubula
Bernard S. Bagaya
Daudi Jjingo
Tinashe Chikowore
Segun Fatumo
机构：
[1] The African Computational Genomics (TACG) Research Group,Department of Immunology and Molecular Biology, School of Biomedical Sciences
[2] MRC/UVRI and LSHTM Uganda Research Unit,Department of Medicine
[3] Makerere University College of Health Sciences,African Center of Excellence in Bioinformatics (ACE
[4] MRC/UVRI and LSHTM Uganda Research Unit,B)
[5] University of Cape Town & Groote Schuur Hospital,Department of Computer Science, College of Computing
[6] Makerere University,MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences
[7] Makerere University,Channing Division of Network Medicine
[8] University of the Witwatersrand,Department of Non
[9] Sydney Brenner Institute for Molecular Bioscience,Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health
[10] Faculty of Health Sciences,undefined
[11] University of the Witwatersrand,undefined
[12] Brigham and Women’s Hospital,undefined
[13] Harvard Medical School,undefined
[14] London School of Hygiene and Tropical Medicine,undefined
来源：
BMC Genomics | / 24卷
关键词：
GWAS; Africa; Kidney function; Fine mapping; eGFR;
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摘要：
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.
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