A new study discovered thousands of expression quantitative trait loci (eQTLs) in the renal glomerular and tubulointerstitial compartments and integrated these data with other omics data sets to identify genes with roles in the pathogenesis of chronic kidney disease. This report reinforces the necessity of using compartment-derived eQTLs to advance kidney genomic discovery.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Qiu, C. et al. Renal compartment-specific genetic variation analyses identify new pathways in chronic kidney disease. Nat. Med. 24, 1721–1731 (2018).
Varshney, A. et al. Genetic regulatory signatures underlying islet gene expression and type 2 diabetes. Proc. Natl Acad. Sci. USA 114, 2301–2306 (2017).
Bhalala, O. G. et al. Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue. PLOS Genet. 14, e1007607 (2018).
GTEx Consortium. Genetic effects on gene expression across human tissues. Nature 550, 204–213 (2017).
Gamazon, E. R. et al. Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation. Nat. Genet. 50, 956–967 (2018).
Wheeler, H. E. et al. Sequential use of transcriptional profiling, expression quantitative trait mapping, and gene association implicates MMP20 in human kidney aging. PLOS Genet. 5, e1000685 (2009).
Sandholm, N. et al. New susceptibility loci associated with kidney disease in type 1 diabetes. PLOS Genet. 8, e1002921 (2012).
Ko, Y. A. et al. Genetic-variation-driven gene-expression changes highlight genes with important functions for kidney disease. Am. J. Hum. Genet. 100, 940–953 (2017).
Gillies, C. E. et al. An eQTL landscape of kidney tissue in human nephrotic syndrome. Am. J. Hum. Genet. 103, 232–244 (2018).
Acknowledgements
The author’s work is supported by the Charles Woodson Clinical Research Fund, the Ravitz Foundation and by National Institutes of Health RO1-DK108805.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The author declares no competing interests.
Additional information
Rights and permissions
About this article
Cite this article
Sampson, M.G. Glomerular and tubulointerstitial eQTLs for genomic discovery. Nat Rev Nephrol 15, 3–4 (2019). https://doi.org/10.1038/s41581-018-0089-0
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41581-018-0089-0
