Genetic link between type 2 diabetes and high blood pressure uncovered

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Genetic link between type 2 diabetes and high blood pressure uncovered
Study overview. Credit: Nature Communications (2026). DOI: 10.1038/s41467-025-67449-2

Type 2 diabetes and high blood pressure share a genetic link, according to new research from the University of Surrey, U.K., and the Université de Lille, France. In a large-scale study, scientists examined genetic data linked to type 2 diabetes and blood pressure regulation. Both conditions frequently occur in the same individual, which significantly increases the risk and severity of major health complications, including cardiovascular and metabolic disease. The results are published in Nature Communications.

Uncovering shared genetic risk

Professor Inga Prokopenko, senior lead author and head of statistical multi-omics at the University of Surrey, said, “Type 2 diabetes and high blood pressure often occur together and are usually thought of as part of the same overall health risk. What we found is that they can develop together for several different biological reasons, and that some people carry genetic factors that increase their likelihood of having both conditions.

“Understanding this shared genetic risk helps us get closer to identifying who is more vulnerable and why. In the long term, this could support earlier identification of people at higher risk and lead to more personalized approaches to prevention and care.”

How the study was conducted

Scientists analyzed more than 1,300 genetic variants associated with type 2 diabetes and blood pressure. The team identified five clusters of DNA variants related to metabolic syndrome, impaired pancreatic beta-cell function, higher overall adiposity and vascular dysfunction, alongside a cluster showing an inverse pattern of diabetes and blood-pressure risk, which helped develop partitioned genetic scores.

These scores were then applied to data from more than 450,000 participants from the UK Biobank. Scientists found that people who ranked highly on scores linked to genes in the metabolic syndrome and reduced beta cell-function cluster had a substantially higher risk of developing both type 2 diabetes and high blood pressure. The research team believes that the comorbidity risk could be identified early, from the first diagnosis of a patient with either diabetes or high blood pressure, enabling a patient to get more personalized care.

Implications for precision medicine

Dr. Vincent Pascat, first author at the Université de Lille (EGID, Inserm/CNRS, Institut Pasteur de Lille), added, “Unlike many clinical risk factors that evolve with age or lifestyle, genetic risk is inherited and remains stable throughout the life course. Genetic information could be integrated into precision medicine approaches, helping clinicians at the first diagnosis of diabetes or hypertension to anticipate future comorbidity and tailor monitoring accordingly.”

Dr. Zhanna Balkhiyarova, co-author at the University of Surrey, said, “We brought together evidence from large genetic studies and multiomic resources to separate shared risk into interpretable mechanisms. This helps explain why people can arrive at the same clinical outcome, diabetes with high blood pressure, through different biological routes.”

Rethinking cardiometabolic comorbidities

Professor Philippe Froguel, senior author at the Université de Lille and Imperial College London, commented, “These results reinforce the need to treat cardiometabolic comorbidity as mechanistically heterogeneous. Genetics can help us disentangle that complexity and supports a precision-health framework in which prevention and management are informed by the dominant underlying biology.”

Professor Patricia Munroe, senior author at Queen Mary University of London, added, “High blood pressure and type 2 diabetes share genetic architecture, but this work shows that the shared component is not uniform. A partitioned approach improves interpretability and has the potential to complement existing clinical tools by identifying subgroups with meaningfully different risk profiles.”

Publication details

Vincent Pascat et al, Partitioned polygenic scores show mechanistic heterogeneity in type 2 diabetes and hypertension comorbidity, Nature Communications (2026). DOI: 10.1038/s41467-025-67449-2

Journal information: Nature Communications

Key medical concepts

Diabetes Type 2High Blood PressureMetabolic Syndrome

Clinical categories

EndocrinologyCommon illnesses & PreventionClinical geneticsCardiology

Provided by University of Surrey

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