Based on genome-wide association study data from 2.2 million individuals, a functional prioritization scorecard integrates classical omics with allele-specific gene expression, chromatin accessibility and gene regulatory circuits in kidney tissues and specific cell types. This approach prioritized 601 kidney function-related genes, including genes associated with nephropathy in mice and humans.
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Fig. 1: Kidney Disease Genetic Scorecard workflow.
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Institute of Genetic Epidemiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
Matthias Wuttke
Eurac Research, Institute for Biomedicine, Bolzano, Italy
Cristian Pattaro
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Matthias Wuttke
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2. Cristian Pattaro
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Correspondence to Matthias Wuttke.
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Wuttke, M., Pattaro, C. GWAS scorecard prioritizes kidney genes using coding and regulatory variants. Nat Rev Nephrol (2025). https://doi.org/10.1038/s41581-025-00952-3
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Published:20 March 2025
DOI:https://doi.org/10.1038/s41581-025-00952-3
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