In fact, these authors showed that the association based on DNA methylation outperformed the polygenic risk scores on the same patients, driven substantially by variability due to ancestry and cell type composition estimates derived from DNA methylation data. These results suggest that we may be seeing DNA methylation in action as a molecular sentinel reflect- ing many biological responses by host cells. Many of the laboratory results studied reflected age-associated conditions (e.g., hemoglobin A1C, choles- terol, indices of renal function), raising the intriguing possibility that aging clocks based on DNA methylation may be reflective of the sum of many age-associated
biomarkers. As there is a lot of current discussion about the value of implementing polygenic risk scores as part of population health (Lewis and Vassos 2020), we can anticipate a subsequent wave of interest in the use of methylation risk scores instead, if they continue to show better potential as instruments allowing personalized, precision medicine.
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