4.8 Article

Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease

Journal

NATURE MEDICINE
Volume 24, Issue 11, Pages 1721-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41591-018-0194-4

Keywords

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Funding

  1. Diabetes Research Center at the University of Pennsylvania at the University of Pennsylvania [P30-DK19525]
  2. National Institute of Health NIH [R01 DK087635, DK076077, DP3108220]
  3. Boehringer Ingelheim [R01 DK087635, DK076077, DP3108220]
  4. Eli Lilly Co.
  5. Juvenile Diabetes Research Foundation
  6. Molecular Pathology and Imaging Core [P30-DK050306]

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Chronic kidney disease (CKD), a condition in which the kidneys are unable to clear waste products, affects 700 million people globally. Genome-wide association studies (GWASs) have identified sequence variants for CKD; however, the biological basis of these GWAS results remains poorly understood. To address this issue, we created an expression quantitative trait loci (eQTL) atlas for the glomerular and tubular compartments of the human kidney. Through integrating the CKD GWAS with eQTL, single-cell RNA sequencing and regulatory region maps, we identified novel genes for CKD. Putative causal genes were enriched for proximal tubule expression and endolysosomal function, where DAB2, an adaptor protein in the TGF-beta pathway, formed a central node. Functional experiments confirmed that reducing Dab2 expression in renal tubules protected mice from CKD. In conclusion, compartment-specific eQTL analysis is an important avenue for the identification of novel genes and cellular pathways involved in CKD development and thus potential new opportunities for its treatment.

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