Clinical predictors of type 2 diabetes can be improved by considering blood-based DNA methylation scores. We derive the scores in 9,835 Scottish individuals and then test their performance against clinical predictors in 4,778 additional Scottish volunteers and 1,451 German volunteers.
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References
Smith, B. H. et al. Cohort profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. Int. J. Epidemiol. 42, 689–700 (2013). A summary of the Generation Scotland study that was used to train and test the predictor.
Holle, R. et al. KORA-a research platform for population based health research. Gesundheitswesen 67, 19–25 (2005). A summary of the KORA cohort that was used to test the predictor.
Yousefi, P. D. et al. DNA methylation-based predictors of health: applications and statistical considerations. Nat. Rev. Genet. 23, 369–383 (2022). A review of DNA methylation biomarkers in health research.
Johnson, A. E. W. et al. Reproducibility in critical care: a mortality prediction case study. In Machine Learning for Healthcare Conference (PMLR 68) (eds. Doshi-Velez, F. et al.) 361–376 (MLResearch Press, 2017). An overview of reproducibility problems in a prediction study.
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This is a summary of: Cheng, Y. et al. Development and validation of DNA methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes. Nat. Aging, https://doi.org/10.1038/s43587-023-00391-4 (2023).
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Improved prediction of type 2 diabetes onset from blood-based biomarkers. Nat Aging 3, 378–379 (2023). https://doi.org/10.1038/s43587-023-00390-5
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DOI: https://doi.org/10.1038/s43587-023-00390-5
