A methylation risk score for chronic kidney disease: a HyperGEN study.

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Title: A methylation risk score for chronic kidney disease: a HyperGEN study.
Authors: Jones, Alana C., Patki, Amit, Srinivasasainagendra, Vinodh, Hidalgo, Bertha A., Tiwari, Hemant K., Limdi, Nita A., Armstrong, Nicole D., Chaudhary, Ninad S., Minniefield, Bré, Absher, Devin, Arnett, Donna K., Lange, Leslie A., Lange, Ethan M., Young, Bessie A., Diamantidis, Clarissa J., Rich, Stephen S., Mychaleckyj, Josyf C., Rotter, Jerome I., Taylor, Kent D., Kramer, Holly J.
Source: Scientific Reports; 8/1/2024, Vol. 14 Issue 1, p1-10, 10p
Subject Terms: DISEASE risk factors, CHRONIC kidney failure, GENETIC epidemiology, DNA methylation, GLOMERULAR filtration rate
Abstract: Chronic kidney disease (CKD) impacts about 1 in 7 adults in the United States, but African Americans (AAs) carry a disproportionately higher burden of disease. Epigenetic modifications, such as DNA methylation at cytosine-phosphate-guanine (CpG) sites, have been linked to kidney function and may have clinical utility in predicting the risk of CKD. Given the dynamic relationship between the epigenome, environment, and disease, AAs may be especially sensitive to environment-driven methylation alterations. Moreover, risk models incorporating CpG methylation have been shown to predict disease across multiple racial groups. In this study, we developed a methylation risk score (MRS) for CKD in cohorts of AAs. We selected nine CpG sites that were previously reported to be associated with estimated glomerular filtration rate (eGFR) in epigenome-wide association studies to construct a MRS in the Hypertension Genetic Epidemiology Network (HyperGEN). In logistic mixed models, the MRS was significantly associated with prevalent CKD and was robust to multiple sensitivity analyses, including CKD risk factors. There was modest replication in validation cohorts. In summary, we demonstrated that an eGFR-based CpG score is an independent predictor of prevalent CKD, suggesting that MRS should be further investigated for clinical utility in evaluating CKD risk and progression. [ABSTRACT FROM AUTHOR]
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  Data: Scientific Reports; 8/1/2024, Vol. 14 Issue 1, p1-10, 10p
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  Data: <searchLink fieldCode="DE" term="%22DISEASE+risk+factors%22">DISEASE risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22CHRONIC+kidney+failure%22">CHRONIC kidney failure</searchLink><br /><searchLink fieldCode="DE" term="%22GENETIC+epidemiology%22">GENETIC epidemiology</searchLink><br /><searchLink fieldCode="DE" term="%22DNA+methylation%22">DNA methylation</searchLink><br /><searchLink fieldCode="DE" term="%22GLOMERULAR+filtration+rate%22">GLOMERULAR filtration rate</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Chronic kidney disease (CKD) impacts about 1 in 7 adults in the United States, but African Americans (AAs) carry a disproportionately higher burden of disease. Epigenetic modifications, such as DNA methylation at cytosine-phosphate-guanine (CpG) sites, have been linked to kidney function and may have clinical utility in predicting the risk of CKD. Given the dynamic relationship between the epigenome, environment, and disease, AAs may be especially sensitive to environment-driven methylation alterations. Moreover, risk models incorporating CpG methylation have been shown to predict disease across multiple racial groups. In this study, we developed a methylation risk score (MRS) for CKD in cohorts of AAs. We selected nine CpG sites that were previously reported to be associated with estimated glomerular filtration rate (eGFR) in epigenome-wide association studies to construct a MRS in the Hypertension Genetic Epidemiology Network (HyperGEN). In logistic mixed models, the MRS was significantly associated with prevalent CKD and was robust to multiple sensitivity analyses, including CKD risk factors. There was modest replication in validation cohorts. In summary, we demonstrated that an eGFR-based CpG score is an independent predictor of prevalent CKD, suggesting that MRS should be further investigated for clinical utility in evaluating CKD risk and progression. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Scientific Reports is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1038/s41598-024-68470-z
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