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. Author manuscript; available in PMC: 2024 Dec 9.
Published in final edited form as: Nat Genet. 2022 Jun 16;54(7):950–962. doi: 10.1038/s41588-022-01097-w

Fig. 1. Graphical summary of new datasets created, and analyses performed in this study.

Fig. 1.

a. Overview of the different genome-wide association and quantitative trait (GWAS, meQTL and eQTL) datasets generated and used in this study. Cohort abbreviations and details found in Supplementary Table 1.

b. Schematic representation of our methods and datasets for prioritization and function analysis of kidney disease genes by integrating genetic, human kidney epigenetic, transcriptomics, and human kidney single-nuclear open chromatin information.