| Literature DB >> 27189761 |
Mette Korre Andersen1, Casper-Emil Tingskov Pedersen2, Ida Moltke2, Torben Hansen1,3, Anders Albrechtsen2, Niels Grarup4.
Abstract
Type 2 diabetes (T2D) affects millions of people worldwide. Improving the understanding of the underlying mechanisms and ultimately improving the treatment strategies are, thus, of great interest. To achieve this, identification of genetic variation predisposing to T2D is important. A large number of variants have been identified in large outbred populations, mainly from Europe and Asia. However, to elucidate additional variation, isolated populations have a number of advantageous properties, including increased amounts of linkage disequilibrium, and increased probability for presence of high frequency disease-associated variants due to genetic drift. Collectively, this increases the statistical power to detect association signals in isolated populations compared to large outbred populations. In this review, we elaborate on why isolated populations are a powerful resource for the identification of complex disease variants and describe their contributions to the understanding of the genetics of T2D.Entities:
Keywords: Genetic drift; Genome-wide association study; Isolated populations; Linkage disequilibrium; Statistical power; Type 2 diabetes
Mesh:
Year: 2016 PMID: 27189761 DOI: 10.1007/s11892-016-0757-z
Source DB: PubMed Journal: Curr Diab Rep ISSN: 1534-4827 Impact factor: 4.810