Effect of Genes on Rosuvastatin Therapy for Hyperlipidemia
Recruitment status was Available
Previous studies indicate that the variant status of detoxification proteins is different among Taiwanese and other ethnic groups. For example, in Taiwanese, the major SNPs of CYP2C9 are CYP2C9*2 (430C>T) and CYP2C9*3 (1075A>C) and their frequencies are different from that in Caucasians . The second example is that the frequency of the A(TA)7TAA allele in the promoter area of the UGT1A1 gene is substantially lower, while for the rate of variation within the coding region is much higher in Taiwanese than that in Caucasians (14.3% vs. 35.7- 41.5% and 29.3% vs. 0.1%, respectively) . The third example is that the frequency of 388A>G of the OATP2 gene in Taiwanese (0.68)  is in between that in European Americans (0.30) and African Americans (0.74) . Therefore, the investigators hypothesize that, in Taiwanese the SNPs of detoxification proteins modulate the lipid-lowing effects of RVA and fenofibrate may be different from those for Caucasians.
Genetic: CYP2C9, UGT1A1, UGT1A3, OATP2, BCRP
|Study Type:||Expanded Access What is Expanded Access?|
|Official Title:||Effect of Genes on Rosuvastatin Therapy for Hyperlipidemia|
Since April 2008, we have started to run a multicenter, prospective, randomized, open-label, blinded end-point classification trial to test the hypothesis in Taiwan that the addition of fibrate on statin would provide a further reduction in the major coronary events in the patients with diabetes or atherosclerotic vascular diseases with metabolic syndrome. With the advantage of this large-scaled prospective trial, it is also a good opportunity to identify simultaneously the genetic determinants of wide range of interindividual variability in phenotypic and clinical response to two major lipid-lowering drug classes, rosuvastatin and fenofibrate. The aim of this proposal is to find which SNPs influence the therapeutic effectiveness of lipid lowering therapy in Taiwanese hyperlipidemic patients. A key feature is the use of multiple drug-treated population samples to get the findings derived from both candidate gene and genome-wide searches for SNP associations with markers of drug efficacy as well as side effects. Thus the promise of pharmacogenomics and metabolomics-- "individualized medicine" will come true in treating hyperlipidemia in Taiwanese.
Please refer to this study by its ClinicalTrials.gov identifier: NCT00934258
|Contact: chau-chung Wu, Phd||+886-2-23123456 ext firstname.lastname@example.org|