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A methylation risk score for chronic kidney disease: a HyperGEN study
Alana C Jones1,2, Amit Patki3, Vinodh Srinivasasainagendra3
1Medical Scientist Training Program, University of Alabama at Birmingham, 912 18th St S, Birmingham, AL, 35233, USA. acjones@uab.edu.
Scientific Reports
|July 31, 2024
Summary
African Americans face a higher burden of chronic kidney disease (CKD). A new methylation risk score (MRS) using DNA methylation at CpG sites shows promise for predicting CKD risk in this population.
Area of Science:
- Nephrology
- Epigenetics
- Genomics
Background:
- Chronic kidney disease (CKD) disproportionately affects African Americans (AAs).
- Epigenetic modifications, specifically DNA methylation at cytosine-phosphate-guanine (CpG) sites, are linked to kidney function.
- AAs may exhibit heightened sensitivity to environmental factors influencing methylation patterns relevant to CKD.
Purpose of the Study:
- To develop and validate a methylation risk score (MRS) for predicting prevalent CKD in African American cohorts.
- To assess the clinical utility of an MRS based on CpG methylation sites associated with estimated glomerular filtration rate (eGFR).
Main Methods:
- Selected nine CpG sites previously associated with eGFR from epigenome-wide association studies.
- Constructed a MRS using these CpG sites within the Hypertension Genetic Epidemiology Network (HyperGEN) cohort.
- Validated the MRS in independent cohorts using logistic mixed models and sensitivity analyses.
Main Results:
- The developed MRS was significantly associated with prevalent CKD in logistic mixed models.
- The association remained robust across multiple sensitivity analyses, accounting for known CKD risk factors.
- Modest replication of the MRS predictive capability was observed in validation cohorts.
Conclusions:
- An eGFR-based CpG methylation risk score (MRS) independently predicts prevalent CKD.
- The MRS demonstrates potential for clinical utility in assessing CKD risk and progression.
- Further investigation is warranted to explore the clinical application of this epigenetic biomarker in diverse populations.

