You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
A Drosophila functional evaluation of candidates from human genome-wide association studies of type 2 diabetes and related metabolic traits identifies tissue-specific roles for dHHEX
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-136 |
| Pubmed ID | |
| Authors |
Jay Pendse, Prasanna V Ramachandran, Jianbo Na, Narisu Narisu, Jill L Fink, Ross L Cagan, Francis S Collins, Thomas J Baranski |
| Abstract |
Genome-wide association studies (GWAS) identify regions of the genome that are associated with particular traits, but do not typically identify specific causative genetic elements. For example, while a large number of single nucleotide polymorphisms associated with type 2 diabetes (T2D) and related traits have been identified by human GWAS, only a few genes have functional evidence to support or to rule out a role in cellular metabolism or dietary interactions. Here, we use a recently developed Drosophila model in which high-sucrose feeding induces phenotypes similar to T2D to assess orthologs of human GWAS-identified candidate genes for risk of T2D and related traits. |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 73 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 21% |
| Student > Master | 10 | 13% |
| Researcher | 9 | 12% |
| Student > Bachelor | 9 | 12% |
| Student > Doctoral Student | 6 | 8% |
| Other | 14 | 19% |
| Unknown | 11 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 31% |
| Biochemistry, Genetics and Molecular Biology | 17 | 23% |
| Medicine and Dentistry | 9 | 12% |
| Neuroscience | 2 | 3% |
| Environmental Science | 2 | 3% |
| Other | 9 | 12% |
| Unknown | 13 | 17% |