Title |
Type 2 diabetes genetic association database manually curated for the study design and odds ratio
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Published in |
BMC Medical Informatics and Decision Making, December 2010
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DOI | 10.1186/1472-6947-10-76 |
Pubmed ID | |
Authors |
Ji Eun Lim, Kyung-Won Hong, Hyun-Seok Jin, Yang Seok Kim, Hun Kuk Park, Bermseok Oh |
Abstract |
The prevalence of type 2 diabetes has reached epidemic proportions worldwide, and the incidence of life-threatening complications of diabetes through continued exposure of tissues to high glucose levels is increasing. Advances in genotyping technology have increased the scale and accuracy of the genotype data so that an association genetic study has expanded enormously. Consequently, it is difficult to search the published association data efficiently, and several databases on the association results have been constructed, but these databases have their limitations to researchers: some providing only genome-wide association data, some not focused on the association but more on the integrative data, and some are not user-friendly. In this study, a user-friend database of type 2 diabetes genetic association of manually curated information was constructed. |
X Demographics
Geographical breakdown
Country | Count | As % |
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India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
Mexico | 1 | 3% |
Netherlands | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 29 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 7 | 21% |
Student > Ph. D. Student | 6 | 18% |
Student > Master | 4 | 12% |
Student > Bachelor | 3 | 9% |
Professor | 2 | 6% |
Other | 9 | 27% |
Unknown | 2 | 6% |
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Medicine and Dentistry | 8 | 24% |
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Computer Science | 2 | 6% |
Arts and Humanities | 2 | 6% |
Other | 2 | 6% |
Unknown | 3 | 9% |