The prevalence of type 2 diabetes mellitus (T2D) is increasing rapidly worldwide with figures being projected to reach 700 million and 366 million by 2030 respectively, according to the recent reports by the World Health Organization 2010 and the International Diabetes Federation 2010. T2D development has been shown to be driven by both environmental and genetic factors.

Consanguinity among Middle-Eastern population, especially the Gulf region, has proved to play a major role in predisposing to multiple hereditary conditions such as cancer, hypertension, and T2D, the latter showing a moderately high prevalence (16.7%) among Qataris.

In this study we aim to identify novel genetic variants and clarify new molecular pathways of T2D in the Qatari population. We will take the advantage of the advanced technologies in genome wide scan and next generation sequencing to investigate a large three generation Qatari family with a history of early onset T2D for the initial stage of the study. More consanguineous families will be recruited for this project and will undergo the same investigational steps in order to identify shared novel mutations between the different family members.

To date, several approaches, such as candidate gene studies, linkage analysis, and genome-wide association studies (GWAS) have been used to identify genetic variants involved in the pathophysiology of T2D and glucose homeostasis. Among these, GWAS has been the most successful approach at the moment to uncovering common genetic variants involved in the disease susceptibility. Next generation whole exome sequencing is a new promising approach to gather novel insights into genes and pathways involved in T2D susceptibility, also allowing the discovery of potential rare mutations.

This study will use next generation sequencing technology to discover potential causative mutations segregating in diabetic inbred Qatari families, and possibly relevant to the Qatari population.


Article metrics loading...

Loading full text...

Full text loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error