4.8 Article

A catalog of genetic loci associated with kidney function from analyses of a million individuals

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NATURE GENETICS
卷 51, 期 6, 页码 957-+

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NATURE PORTFOLIO
DOI: 10.1038/s41588-019-0407-x

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资金

  1. Kowa
  2. Sanofi
  3. National Institute on Aging (NIA)
  4. National Institutes of Health (NIH)
  5. Michael J. Fox Foundation
  6. University of California Healthcare - Nestle Nutrition (Nestec)
  7. Metagenics
  8. AXA
  9. GlaxoSmithKline
  10. MSD
  11. Eisai
  12. Janssen
  13. Sanofi-Aventis
  14. Eli Lilly
  15. National Institute of Health
  16. Omthera Pharmaceuticals
  17. Pfizer New Zealand
  18. Elsai Inc.
  19. Dalcor Pharma UK
  20. CSL Behring
  21. AstraZeneca
  22. BMS
  23. Boehringer-Ingelheim
  24. Pfizer
  25. Roche Diagnostics - Johnson Johnson
  26. Novartis
  27. Novo Nordisk
  28. Gruenenthal
  29. MRC [MR/R023484/1, MC_UU_00007/10] Funding Source: UKRI

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Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.

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