{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Hughes O"],"funding":["Intramural NIH HHS","British Heart Foundation","NCATS NIH HHS","NCRR NIH HHS","FIC NIH HHS","NIEHS NIH HHS","NHLBI NIH HHS","NIMH NIH HHS","Kidney Research UK","NEI NIH HHS","NIDDK NIH HHS","NIMHD NIH HHS","National Institute for Health Research (NIHR)","NHGRI NIH HHS","NINDS NIH HHS","NCI NIH HHS","NIH HHS"],"pagination":["100468"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10794846"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["4(1)"],"pubmed_abstract":["Chronic kidney disease is a leading cause of death and disability globally and impacts individuals of African ancestry (AFR) or with ancestry in the Americas (AMS) who are under-represented in genome-wide association studies (GWASs) of kidney function. 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To address this bias, we conducted a large meta-analysis of GWASs of estimated glomerular filtration rate (eGFR) in 145,732 AFR and AMS individuals. We identified 41 loci at genome-wide significance (p < 5 × 10<sup>-8</sup>), of which two have not been previously reported in any ancestry group. We integrated fine-mapped loci with epigenomic and transcriptomic resources to highlight potential effector genes relevant to kidney physiology and disease, and reveal key regulatory elements and pathways involved in renal function and development. We","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jan","modification":"2026-06-03T04:27:17.232Z","creation":"2025-04-04T21:56:48.878Z"},"accession":"S-EPMC10794846","cross_references":{"pubmed":["38190104"],"doi":["10.1016/j.xgen.2023.100468"]}}