Genomics, Diabetes and Endocrinology

Organisational unit: Research group

Research areas and keywords

UKÄ subject classification

  • Endocrinology and Diabetes
  • Cardiac and Cardiovascular Systems


  • Type 2 diabetes


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

Fadista, J., Skotte, L., Geller, F., Bybjerg-Grauholm, J., Gørtz, S., Romitti, P. A., Caggana, M., Kay, D. M., Matsson, H., Boyd, H. A., Hougaard, D. M., Nordenskjöld, A., Mills, J. L., Melbye, M. & Feenstra, B., 2019, In : Human Molecular Genetics. 28, 2, p. 332-340 9 p.

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., 2019, In : Journal of Cellular Biochemistry. 120, 1, p. 343-356

Research output: Contribution to journalArticle

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