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Cross-ancestry genome-wide polygenic score predicts chronic kidney disease

A new genome-wide polygenic risk score for chronic kidney disease (CKD) that combines APOL1 risk genotypes with polygenic effects was validated in 15 diverse cohorts. The top 2% of the score reproducibly conveyed a threefold higher risk of CKD across all ancestries, a degree of risk that is equivalent to a positive family history of kidney disease.

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Fig. 1: Estimated risk effects of a genome-wide polygenic score for CKD.

References

  1. Wuttke, M. et al. A catalog of genetic loci associated with kidney function from analyses of a million individuals. Nat. Genet. 51, 957–972 (2019). Discovery GWAS for renal function used to derive the polygenic component of the score for CKD.

    Article  CAS  Google Scholar 

  2. Parsa, A. et al. APOL1 risk variants, race, and progression of chronic kidney disease. N. Engl. J. Med. 369, 2183–2196 (2013). Demonstration of the effects of APOL1 on the risk of kidney disease progression.

    Article  CAS  Google Scholar 

  3. Wand, H. et al. Improving reporting standards for polygenic scores in risk prediction studies. Nature 591, 211–219 (2021). ClinGen standards for reporting polygenic risk scores in risk-prediction studies.

    Article  CAS  Google Scholar 

  4. Shang, N. et al. Medical records-based chronic kidney disease phenotype for clinical care and “big data” observational and genetic studies. NPJ Digit. Med. 4, 70 (2021). Design and validation of a portable and scalable e-phenotype for CKD diagnosis and staging.

    Article  Google Scholar 

  5. Neugut, Y. D. et al. Cases in precision medicine: APOL1 and genetic testing in the evaluation of chronic kidney disease and potential transplant. Ann. Intern. Med. 171, 659–664 (2019). An article from the ‘Cases in Precision Medicine’ series discussing APOL1 testing in the setting of CKD and kidney transplantation.

    Article  Google Scholar 

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This is a summary of: Khan, A. et al. Genome-wide polygenic score to predict chronic kidney disease across ancestries. Nat. Med. https://doi.org/10.1038/s41591-022-01869-1 (2022).

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Cross-ancestry genome-wide polygenic score predicts chronic kidney disease. Nat Med 28, 1355–1356 (2022). https://doi.org/10.1038/s41591-022-01871-7

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