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KidneyGPS: a user-friendly web application to help prioritize kidney function genes and variants based on evidence from genome-wide association studies

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Stanzick, Kira J. ; Stark, Klaus J. ; Gorski, Mathias ; Schödel, Johannes ; Krüger, René ; Kronenberg, Florian ; Warth, Richard ; Heid, Iris M. ; Winkler, Thomas W.
[img]License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 05 Dec 2023 10:10


Background Genome-wide association studies (GWAS) have identified hundreds of genetic loci associated with kidney function. By combining these findings with post-GWAS information (e.g., statistical fine-mapping to identify independent association signals and to narrow down signals to causal variants; or different sources of annotation data), new hypotheses regarding physiology and disease ...


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