| dc.contributor.author |
Schutte, Aletta |
en_US |
| dc.contributor.author |
Van Der Merwe, Annelize |
en_US |
| dc.contributor.author |
Olckers, Antonel |
en_US |
| dc.contributor.author |
Towers, G W |
en_US |
| dc.date.accessioned |
2010-08-04T15:36:03Z |
|
| dc.date.available |
2010-08-04T15:36:03Z |
|
| dc.date.issued |
2009 |
en_US |
| dc.identifier.citation |
SCHUTTE, A., VAN DER MERWE, A., OLCKERS, A. & TOWERS, G.W. 2009. Global meta-analysis of the C-11377G alteration in the ADIPOQ gene indicates the presence of population-specific effects: challenge for global health initiatives. Pharmacogenomics Journal, 9(1):42-48, Mar. [http://www.nature.com/tpj/index.html] |
en_US |
| dc.identifier.issn |
1470-269X |
|
| dc.identifier.issn |
1473-1150 (Online) |
|
| dc.identifier.uri |
http://hdl.handle.net/10394/3347 |
|
| dc.description.abstract |
Type II diabetes mellitus is currently globally one of the fastest growing non- communicable diseases, especially in developing countries. This investigation reports on a meta-analysis undertaken of the C-11377G locus within the adiponectin gene in a black South African, a Cuban Hispanic and a German Caucasian cohort. Genotyping was performed via a real-time PCR strategy. Both fixed- and random-effects models were tested to describe the diabetes risk at both the cohort and population levels. The 2, 2 genotype may only be associated with increased diabetes risk in the Cuban Hispanic cohort. Population-specific effects may have masked these associations upon meta-analytical analysis, as no significant odds ratio could be determined. Thus, to examine diabetes risk, a more global approach including the design of population-specific experimental strategies should be used, which will be crucial in developing health education and policies in a global health programme. |
|
| dc.description.uri |
http://dx.doi.org/10.1038/tpj.2008.2 |
|
| dc.publisher |
Nature Publishing Group |
|
| dc.title |
Global meta-analysis of the C-11377G alteration in the ADIPOQ gene indicates the presence of population-specific effects: challenge for global health initiatives |
en_US |