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accession-icon SRP149347
Kidney compartment specific eQTL studies highlight causal genes and pathways for renal disease development
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Expression quantitative trait loci (eQTL) analyses were conducted separately on the glomerular and tubular portions of healthy human kidney samples obtained from subjects of European descent. Overall design: We aimed to define genotype driven gene expression changes in the glomerular and tubular compartments of human kidneys, identifying genetic variants (eVariants) that influence the expression of genes (eGenes). Later, we integrated this information with genotype and phenotype association studies (GWAS) to identify genes for which expression in the kidney shows differences in patients with GWAS variants.

Publication Title

Mapping eGFR loci to the renal transcriptome and phenome in the VA Million Veteran Program.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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