A study by the University of Edinburgh has found that analyzing DNA methylation (changes to DNA in the blood) can improve the prediction of an individual’s risk of developing type 2 diabetes. The research was conducted on almost 15,000 individuals from the Generation Scotland cohort to predict the likelihood of developing type 2 diabetes years in advance of any symptoms appearing.
Research showed that including DNA methylation data significantly improved in predicting 10-year T2D incidence risk beyond standard risk factors. The best-performing model showed notable improvement in 10-year onset prediction beyond standard risk factors.
The study, published in the journal Nature Aging, could improve early prediction and intervention and alleviate the condition’s major health and economic burden.
- Cheng, Y., Gadd, D. A., Gieger, C., Zhang, Y., Berta, I., Stam, M. J., Szlachetka, N., Lobzaev, E., Wrobel, N., Murphy, L., Campbell, A., Nangle, C., Walker, R. M., Peters, A., Rathmann, W., Porteous, D. J., Evans, K. L., McIntosh, A. M., Cannings, T. I., . . . Marioni, R. E. (2023). Development and validation of DNA methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes. Nature Aging, 1-9. https://doi.org/10.1038/s43587-023-00391-4
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