Standard risk factors outperformed DNA aging clocks
Among 1,108 adults aged 34 to 49, standard risk factors predicted chronic disease over seven to nine years better than DNA-based aging measures.
Limit: The abstract does not quantify how much better standard risk factors predicted disease
Edited by Boris Djordjevic · AgingResearch.News
An observational cohort study followed 1,108 adults aged 34 to 49 at baseline for seven to nine years. Researchers compared traditional risk factors with commonly used epigenetic clocks, which use chemical marks on DNA as measures of aging. They assessed how well these approaches predicted new cases of age-associated chronic disease.
A statistical model combining age, sex, smoking, alcohol consumption, waist-to-hip ratio and body mass index outperformed every model that included an epigenetic clock. Body mass index measures weight relative to height. The comparison tested whether the clocks added useful predictive information beyond these standard risk factors.
Why it matters
Predicting age-associated chronic disease is one proposed use for DNA-based aging measures. The authors called for clear evidence of added value over simple, affordable risk factors before clinical or personal health use.
Caveats
This observational prediction study involved one middle-aged cohort, so it does not establish how well these models perform in older adults. The abstract does not report the size of the prediction advantage or which chronic diseases were included.
