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

João Fadista, Victor Yakimov, Urmo Võsa, Christine S. Hansen, Silva Kasela, Line Skotte, Frank Geller, Julie Courraud, Tõnu Esko, Viktorija Kukuškina, Alfonso Buil, Mads Melbye, Thomas M. Werge, David M. Hougaard, Lili Milani, Jonas Bybjerg-Grauholm, Arieh S. Cohen & Bjarke Feenstra, 2021 Dec, In: Scientific Reports. 11, 1, 17463.

Research output: Contribution to journalArticle

Jialin Zhang, Da Xu, Kaijing Hao, Yusen Zhang, Wei Chen, Jiaguo Liu, Rui Gao, Chuanyan Wu & Yang De Marinis, 2021 May 20, In: Briefings in Bioinformatics. 22, 3

Research output: Contribution to journalArticle

Daniel Bengtsson, Oskar Ragnarsson, Katarina Berinder, Per Dahlqvist, Britt Edén Engström, Bertil Ekman, Charlotte Höybye, Pia Burman & Jeanette Wahlberg, 2021 May 13, In: The Journal of clinical endocrinology and metabolism. 106, 6, p. 1750-1760 11 p.

Research output: Contribution to journalArticle

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