Key points from article :
Researchers are developing algorithms to predict differences in how people grow older.
Extracted RNA from skin cells collected from 133 people aged 1 to 94.
Tracked genetic changes that occur with age & compared data from different age groups.
Algorithm to identify genetic signatures & patterns in the data to predict age of the subjects was devised.
Outperformed earlier methods, predicting the subjects’ ages with a median error of 4 years.
It's validity was tested on fibroblasts from children with progeria aged 2-8.
Such predictions could inform and improve the health care that people receive as they grow older.
Research by The Salk Institute for Biological Studies published in Genome Biology.
