Advances in Genome Science

Volume: 1

Genetic Insights Through Genome Wide Association Studies in Type 2 Diabetes Mellitus will Lead to New Therapeutics

Author(s): Marcel G. M. Wolfs, Naishi Li, Jingyuan Fu, Cisca Wijmenga, Timon W. van Haeften and Marten H. Hofker

Pp: 210-240 (31)

DOI: 10.2174/9781608051298113010012

* (Excluding Mailing and Handling)


Type 2 diabetes is a disorder of dysregulated glucose homeostasis. Normal glucose homeostasis is a complex process involving several interacting mechanisms, such as insulin secretion, insulin sensitivity, glucose production, and glucose uptake. The dysregulation of one or more of these mechanisms due to environmental and/or genetic factors, can lead to a defective glucose homeostasis. Hyperglycemia is managed by augmenting insulin secretion and/or interaction with hepatic glucose production, as well as by decreasing dietary caloric intake and raising glucose metabolism through exercise. Although these interventions can delay disease progression and correct blood glucose levels, they are not able to cure the disease or stop its progression entirely. Better management of type 2 diabetes is sorely needed. Advances in genotyping techniques and the availability of large patient cohorts have made it possible to identify common genetic variants associated with type 2 diabetes through genome-wide association studies (GWAS). So far, genetic variants on 50 loci have been identified. Most of these loci contain or lie close to genes that were not previously linked to diabetes and they may thus harbor targets for new drugs. It is also hoped that further genetic studies will pave the way for predictive genetic screening. The newly discovered candidate genes for type 2 diabetes can be classified based on their presumed molecular function, and we discuss the relation between these gene classes and current treatments. We go on to consider whether the new genes provide opportunities for developing alternative drug therapies.

Keywords: Type 2 diabetes, drug targets, genetics, personalized medicine.

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