Example：10.1021/acsami.1c06204 or Chem. Rev., 2007, 107, 2411-2502
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.