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

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

Abstract 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...

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Bibliographic Details
Main Authors: Kira J. Stanzick, Klaus J. Stark, Mathias Gorski, Johannes Schödel, René Krüger, Florian Kronenberg, Richard Warth, Iris M. Heid, Thomas W. Winkler
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Bioinformatics
Subjects:
GWAS
Kidney function
Web application
KidneyGPS
Gene prioritization
Online Access:https://doi.org/10.1186/s12859-023-05472-0

Internet

https://doi.org/10.1186/s12859-023-05472-0

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