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Linking genetic variants to kidney disease via the epigenome
Nature Genetics  (IF41.307),  Pub Date : 2022-06-23, DOI: 10.1038/s41588-022-01098-9

The largest GWAS for kidney function so far provided the starting point for integrated multi-stage annotation of genetic loci. Whole kidney and single-cell epigenomic information is crucial for translating GWAS information to the identification of causal genes and pathogenetic (and potentially targetable) cellular and molecular mechanisms of kidney disease.