Genomics, Diabetes and Endocrinology

Organisational unit: Research group

Research areas and keywords

UKÄ subject classification

  • Endocrinology and Diabetes
  • Cardiac and Cardiovascular Systems

Keywords

  • Type 2 diabetes

Description

Understanding the genetic and metabolic complexity of diabetes could help in identifying novel drug targets. A new classification of diabetes may pave the way for early intensified treatment and thereby possibly prevent late diabetic complications ascribed to the “metabolic memory”. It may also help the pharma industry to better stratify patients for drug trials and thereby reduce cost for development of new drugs. Dissect the genetic and metabolic complexity of diabetes and provide a refined diabetes classification that can pave the way for precision medicine in diabetes and development of a decision tool (road map) for the diabetic patients.

Recent research outputs

Ström, K. , Morales-Alamo, D. , Ottosson, F. , Edlund, A. , Hjort, L. , Jörgensen, S. W. , Almgren, P. , Zhou, Y. , Martin-Rincon, M. , Ekman, C. , Pérez-López, A. , Ekström, O. , Perez-Suarez, I. , Mattiasson, M. , De Pablos-Velasco, P. , Oskolkov, N. , Ahlqvist, E. , Wierup, N. , Eliasson, L. , Vaag, A. & 6 others Leif Groop, Karin G. Stenkula, Céline Fernandez, Calbet, J. A. L., Holmberg, H. C. & Ola Hansson, 2018 Dec 1, In : Scientific Reports. 8, 1, 3016

Research output: Contribution to journalArticle

Mafessoni, F., Rashmi B Prasad, Leif Groop, Ola Hansson & Prüfer, K., 2018 Sep 10, In : Genome Biology and Evolution.

Research output: Contribution to journalArticle

Florentina Negoita, Blomdahl, J., Sebastian Wasserstrom, Winberg, M. E., Osmark, P., Larsson, S., Karin G. Stenkula, Ekstedt, M., Kechagias, S., Cecilia Holm & Jones, H. A., 2018 Sep 1, In : Journal of Cellular Biochemistry.

Research output: Contribution to journalArticle

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