ArticleNature aging2023
Development and validation of DNA methylation scores in two European cohorts augment 10-year risk prediction of type 2 diabetes.
Article in Nature aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Epigenetic and genetic factors modifying the association between diet quality and incident type 2 diabetes: the EPIC-Potsdam cohort.Cardiovascular diabetology · 2026Article
- Using a Biomarker of Biological Aging to Predict Incident Cardiometabolic Disease.Journal of the American Heart Association · 2026Article
- Operon™ Platform-Enabled for Cardiometabolic Biomarker Screening and Precision Treatment Strategies: A Type 2 Diabetes-Centered Review with Cardiovascular Extension.International journal of molecular sciences · 2026Review
- A robust computational framework for methylation age and disease-risk prediction based on pairwise learning.Nature computational science · 2026Article
- DeepStrataAge: an interpretable deep-learning clock that reveals stage- and sex-divergent DNA methylation aging dynamics.npj aging · 2026Article
- A New Complexity Layer: DNA Methylation and the Predictive Impact of Epigenetic Tests.International journal of molecular sciences · 2026Review
- Divergent epigenetic profile underlie pubertal disorders in MKRN3-associated central precocious puberty and Prader-Willi syndrome: insights from a frameshift variant.World journal of pediatrics : WJP · 2026Article
- An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes.Nature communications · 2025Article
- Methylome-wide association studies and epigenetic biomarker development for 133 mass spectrometry-assessed circulating proteins in 14,671 Generation Scotland participants.Genome biology · 2025Article
- Article
- Extrachromosomal Circular DNA and Transposable Elements in Type 2 Diabetes.International journal of molecular sciences · 2025Review
- Blood methylome signatures in children exposed to maternal type 1 diabetes are linked to protection against islet autoimmunity.Nature metabolism · 2025Article
- DNA methylation and machine learning: challenges and perspective toward enhanced clinical diagnostics.Clinical epigenetics · 2025Review
- Novel approaches and applications in identifying DNA methylation markers of cardio-kidney-metabolic disease.Epigenomics · 2025Review
- Development and validation of an integrative 54 biomarker-based risk identification model for multi-cancer in 42,666 individuals: a population-based prospective study to guide advanced screening strategies.Biomarker research · 2025Article
- An unbiased comparison of 14 epigenetic clocks in relation to 10-year onset of 174 disease outcomes in 18,859 individuals.medRxiv : the preprint server for health sciences · 2025Article
- Review
- Approaches to predict future type 2 diabetes mellitus and chronic kidney disease: A scoping review.PloS one · 2025Article
- Type-2 diabetes epigenetic biomarkers: present status and future directions for global and Indigenous health.Frontiers in molecular biosciences · 2025Review
- MethylGPT: a foundation model for the DNA methylome.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
26 authors.
Funding
Abstract
Type 2 diabetes mellitus (T2D) presents a major health and economic burden that could be alleviated with improved early prediction and intervention. While standard risk factors have shown good predictive performance, we show that the use of blood-based DNA methylation information leads to a significant improvement in the prediction of 10-year T2D incidence risk. Previous studies have been largely constrained by linear assumptions, the use of cytosine-guanine pairs one-at-a-time and binary outcomes. We present a flexible approach (via an R package, MethylPipeR) based on a range of linear and tree-ensemble models that incorporate time-to-event data for prediction. Using the Generation Scotland cohort (training set n
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