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

Taneera, J., Dhaiban, S., Mohammed, A. K., Mukhopadhyay, D., Aljaibeji, H., Sulaiman, N., Fadista, J. & Albert Salehi, 2019 Oct 5, In : Gene. 715, 144028.

Research output: Contribution to journalArticle

Chuanyan Wu, Gao, R., Zhang, Y. & Yang De Marinis, 2019 Sep 6, In : BMC Bioinformatics. 20, 1, 456.

Research output: Contribution to journalArticle

Emma Ahlqvist, Tuomi, T. & Leif Groop, 2019 Sep 1, In : The Lancet Diabetes and Endocrinology. 7, 9, p. 668-669 2 p.

Research output: Contribution to journalLetter

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