| Title |
Genetics of Type 2 Diabetes: the Power of Isolated Populations
|
|---|---|
| Published in |
Current Diabetes Reports, May 2016
|
| DOI | 10.1007/s11892-016-0757-z |
| Pubmed ID | |
| Authors |
Mette Korre Andersen, Casper-Emil Tingskov Pedersen, Ida Moltke, Torben Hansen, Anders Albrechtsen, Niels Grarup |
| 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 79 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 19 | 24% |
| Student > Master | 13 | 16% |
| Student > Ph. D. Student | 9 | 11% |
| Researcher | 6 | 8% |
| Student > Postgraduate | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 19 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Agricultural and Biological Sciences | 11 | 14% |
| Medicine and Dentistry | 11 | 14% |
| Nursing and Health Professions | 5 | 6% |
| Social Sciences | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 23 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2016.
All research outputs
#16,349,280
of 24,086,561 outputs
Outputs from Current Diabetes Reports
#672
of 1,033 outputs
Outputs of similar age
#207,733
of 332,025 outputs
Outputs of similar age from Current Diabetes Reports
#18
of 25 outputs
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