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Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease.
Müller-Deile, Janina; Jobst-Schwan, Tilman; Schiffer, Mario.
Affiliation
  • Müller-Deile J; Department of Nephrology and Hypertension, University of Erlangen, Erlangen, Germany.
  • Jobst-Schwan T; Department of Nephrology and Hypertension, University of Erlangen, Erlangen, Germany.
  • Schiffer M; Department of Nephrology and Hypertension, University of Erlangen, Erlangen, Germany. Electronic address: mario.schiffer@uk-erlangen.de.
Cell Metab ; 29(1): 9-10, 2019 01 08.
Article in En | MEDLINE | ID: mdl-30625310
ABSTRACT
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).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Insufficiency, Chronic / Genome-Wide Association Study Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cell Metab Journal subject: METABOLISMO Year: 2019 Document type: Article Affiliation country: Alemania
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Renal Insufficiency, Chronic / Genome-Wide Association Study Type of study: Prognostic_studies Limits: Humans Language: En Journal: Cell Metab Journal subject: METABOLISMO Year: 2019 Document type: Article Affiliation country: Alemania