Article Impact Level: HIGH Data Quality: STRONG Summary of Diabetes Care https://doi.org/10.2337/dc25-1711 Dr. Mengyu Pan et al.
Points
- Researchers analyzed twenty-four thousand participants from the Malmö Diet Cancer cohort to determine if genetic predisposition to five diabetes subgroups could predict future heart disease and diabetic onset.
- The study found that while genetic scores for all subgroups predicted diabetes, only the moderate obesity-related diabetes subtype was a significant predictor of incident coronary artery disease.
- Data indicated that individuals with a high genetic risk for the obesity-related subgroup could be identified for cardiovascular complications even before they showed any signs of clinical diabetes.
- Investigators utilized genome-wide association studies to create stable risk scores that can assess an individual’s lifelong probability of developing atherosclerosis or myocardial infarction from an early age.
- These findings advocate for a more tailored clinical approach to risk prediction that integrates genomic data to delay or prevent the onset of complex metabolic and cardiovascular diseases.
Summary
This study evaluated the efficacy of genetic risk scores (GRS) based on five diabetes subgroups to predict the incidence of coronary artery disease (CAD) and diabetes in the general population. Utilizing data from the Malmö Diet Cancer (MDC) cohort, researchers analyzed 24,025 participants, of whom 4,105 developed diabetes during the follow-up period. The research sought to determine if subtype-specific genetic susceptibility could serve as a clinical marker for atherosclerotic complications prior to the manifest onset of metabolic disease.
The analysis demonstrated that while genetic predisposition for all five diabetes subtypes significantly predicted incident diabetes, only the moderate obesity-related diabetes (MOD) subgroup showed a significant association with incident CAD. In individuals with a high genetic risk for MOD—characterized clinically by obesity and early-onset type 2 diabetes—the GRS served as a predictive marker for coronary events even before diabetic symptoms appeared. These findings suggest that the inherited DNA variants specific to the MOD subtype may drive independent atherosclerotic pathways, distinguishing it from other adult-onset diabetes classifications.
The results suggest that genetic risk scores provide a valuable tool for early, tailored risk prediction and the prevention of myocardial infarction. By identifying high-risk individuals long before clinical hyperglycemia, clinicians may be able to implement aggressive preventive measures to delay or avoid the clinical cascade of diabetes and cardiovascular complications. While the study was limited by its focus on European populations, it establishes a framework for using genomic data to deconstruct the heterogeneity of diabetes-related cardiovascular risk in clinical practice.
Link to the article: https://diabetesjournals.org/care/article/doi/10.2337/dc25-1711/164646/Genetic-Susceptibility-to-Diabetes-Subtypes-and
References
Pan, M., Al-Sharify, D., Engström, G., Ahlqvist, E., Lotta, L., Nilsson, J., Goncalves, I., Sun, J., & Edsfeldt, A. (2026). Genetic susceptibility to diabetes subtypes and risk of developing coronary artery disease. Diabetes Care, dc251711. https://doi.org/10.2337/dc25-1711
