Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline

URN to cite this document:: urn:nbn:de:bvb:355-epub-597273
DOI to cite this document:: 10.5283/epub.59727

Wiegrebe, Simon ; Gorski, Mathias

; Herold, Janina M. ; Stark, Klaus J. ; Thorand, Barbara

; Gieger, Christian ; Böger, Carsten A. ; Schödel, Johannes ; Hartig, Florian

; Chen, Han

; Winkler, Thomas W.

; Küchenhoff, Helmut ; Heid, Iris M.

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 03 Dec 2024 06:55

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Abstract

Understanding the genetics of kidney function decline, or trait change in general, is hampered by scarce longitudinal data for GWAS (longGWAS) and uncertainty about how to analyze such data. We use longitudinal UK Biobank data for creatinine-based estimated glomerular filtration rate from 348,275 individuals to search for genetic variants associated with eGFR-decline. This search was performed ...