Diabetes is a multi-organ disease which is heterogeneous in manifestation. Our group discovered 5 subtypes of diabetes in the Swedish ANDIS study that showed different risk for complications and treatment and were also partially different genetically. These subgroups were replicated in the Indian and other populations. In the current project, we aim to further investigate the genetic aetiology of these subgroups by applying polygenic scores to an Indian cohort. Further, we aim to assess if risk for T2D and its subgroups can be predicted by testing these polygenic scores in a birth cohort.
In this project, we will work closely with international projects on T2D genetics to facilitate learning, collaborations and to increase the availability of data for the project. Overall, this project will contribute to the understanding of T2D and its subgroups in diverse populations and can help pave the way for development of predictive, preventative, and new therapeutic approaches in T2D.
Applicants:
We welcome students with an interest in genetics, bioinformatics and metabolic diseases. It’s an advantage, but not a prerequisite, if the intended student has prior experience with coding and bioinformatics. Recommended project length is 45-60 ECTS.
Supervisor:
Rashmi Prasad, Associate Professor in Diabetes and Genetics
Placement:
Genetics and Diabetes, CRC, Malmö
https://portal.research.lu.se/en/persons/rashmi-prasad
For more information, please contact the project supervisor at: Rashmi.prasad@med.lu.se