
Aging leaves a chemical signature on DNA, statistical models known as epigenetic clocks estimating a person’s age with relatively high accuracy. However, new research by assistant professor and member of the Institute of Human Genetics Dr. Shyamalika Gopalan and collaborators from France show many of these clocks do not tell time well for some populations.
“None of these clocks are perfect. None of them are going to be,” Gopalan said. “But for some people, they can be way off because of genetic variation.”
Most of the research and the clocks were built around European ancestry. The recently published work, “Common DNA sequence variation influences epigenetic aging in African populations,” found that these clocks show differences in accuracy when applied to different populations from around the world.
“Human genetics is very biased toward Western European ancestry samples. It is data from those populations that is the most widely available and mostly widely used,” Gopalan said. “African populations have more genetic diversity than the majority of populations that we tend to study in human genetics. Our hypothesis was that genetic variation can bias these predictive models in ways that haven’t been accounted for,” she said. “It essentially means that the same level of DNA methylation can translate to a very different age prediction depending on your genotype.”

The researchers instead studied clocks to the African populations, which mostly showed significantly higher errors compared to publicly available DNA data from European and Hispanic/Latino individuals. When the researchers found this difference, they were able to reduce the error in the African cohorts while maintaining accuracy in the European and Hispanic/Latino samples.
“This study shows that we can’t necessarily take a model that was developed in one population and just apply it to another population and expect it to produce similar results,” Gopalan said. “Ideally, we would have better representation of global populations in our datasets so that we could build and train epigenetic clocks that perform better on everyone.”

