Instanz: TeilenTeilen:Big Data Make Hidden Genetic Drivers of Type 2 Diabetes VisibleCéline Gravot-Schüppel KommunikationHelmholtz Zentrum München Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)29.01.2026 09:19Numerous genetic studies have identified many risk variants for type 2 diabetes (T2D) – but which genes and proteins are actually involved in the disease mechanisms? An international team led by Helmholtz Munich has now used globally collected genetic data to pinpoint the genes and proteins linked to T2D. This international consortium brings together genetic data from many studies worldwide and uses so-called genome-wide association studies (GWAS) to search for DNA variants associated with the risk of type 2 diabetes. The international team investigated how genetic variants influence gene activity and protein abundance – and whether this can provide clues to the genetic causes of type 2 diabetes. About the researchersProf Eleftheria Zeggini is Director of the Institute of Translational Genomics at Helmholtz Munich and Liesel Beckman Distinguished Professor of Translational Genomics at TUM.