%0 Journal Article
%T Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease
%J -
%D 2019
%R https://doi.org/10.1016/j.cmet.2018.12.009
%X Genome-wide association studies (GWAS) have identified multiple chronic kidney disease (CKD)-associated single-nucleotide polymorphisms (SNPs) mainly localized to non-coding genomic regions. To understand which genes and which cell types are affected by these genetic variants, compartment-specific transcriptome, genome, and epigenome data were analyzed in an integrative manner in a recent study by Qiu et al. ( Qiu et al., 2018 Qiu C. Huang S. Park J. Park Y. Ko Y.A. Seasock M.J. Bryer J.S. Xu X.X. Song W.C. Palmer M. et al. Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease. Nat. Med. 2018; 24 : 1721-1731 Crossref PubMed Scopus (4) Google Scholar )
%U https://www.cell.com/cell-metabolism/fulltext/S1550-4131(18)30746-0