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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



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 (424 ...

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