Discovery and prioritization of variants and genes for kidney function in >1.2 million individuals

URN to cite this document:: urn:nbn:de:bvb:355-epub-514446
DOI to cite this document:: 10.5283/epub.51444

Stanzick, Kira J.

; Li, Yong ; Schlosser, Pascal

; Gorski, Mathias

; Wuttke, Matthias

; Thomas, Laurent F. ; Rasheed, Humaira ; Rowan, Bryce X. ; Graham, Sarah E. ; Vanderweff, Brett R. ; Patil, Snehal B. ; Robinson-Cohen, Cassianne

; Gaziano, John M. ; O’Donnell, Christopher J. ; Willer, Cristen J.

; Hallan, Stein ; Åsvold, Bjørn Olav ; Gessner, Andre

; Hung, Adriana M. ; Pattaro, Cristian

; Köttgen, Anna ; Stark, Klaus J. ; Heid, Iris M.

; Winkler, Thomas W.

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Date of publication of this fulltext: 18 Jan 2022 16:13

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Abstract

Genes underneath signals from genome-wide association studies (GWAS) for kidney function are promising targets for functional studies, but prioritizing variants and genes is challenging. By GWAS meta-analysis for creatinine-based estimated glomerular filtration rate (eGFR) from the Chronic Kidney Disease Genetics Consortium and UK Biobank (n = 1,201,909), we expand the number of eGFRcrea loci ...