Included below are two recent publications where researchers have used data from the 1000 Genomes Project to study diabetes. There are two types of diabetes. Type 1 diabetes is an autoimmune disease where the patient’s immune system destroys the cells that produce insulin. In type 2 diabetes the patient’s body does not make enough insulin and does not respond to insulin as it should.
In the first study, researchers used 1000 Genomes Project data to create a tool that uses genetic information, family history, age, and blood markers to identify patients at increased risk for type 1 diabetes. The tool is available online to help doctors improve care for their patients.
For more information:
Development and recalibration of a multivariable type 1 diabetes prediction model for type 1 diabetes across multiple screening studies
BMC Medicine, 2025 | https://doi.org/10.1186/s12916-025-04225-5
In the second study researchers used the 1000 Genomes Project data to show that people with a higher genetic risk for type 2 diabetes also tend to have changes in certain blood proteins. Many of these proteins are linked to related health problems, like heart disease. The findings highlight possible early warning signs and targets for new treatments.
For more information:
Identification of plasma proteomic markers underlying polygenic risk of type 2 diabetes and related comorbidities
Nature Communications, 2025 | https://doi.org/10.1038/s41467-025-56695-z
