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Pharmacogenetic analysis of lipid responses to rosuvastatin in Chinese patients

Authors: Lai-Shan Tam; Miao Hu; Sandra S.H. Lui; Larry Baum; Brian Tomlinson; Valiant W.L. Mak; Tanya T W Chu; +5 Authors

Pharmacogenetic analysis of lipid responses to rosuvastatin in Chinese patients

Abstract

Lipid changes with statin treatments vary greatly between individuals for reasons which are largely unknown. This study was performed to examine the genetic determinants of lipid responses to rosuvastatin in Chinese patients. A total of 125 polymorphisms in 61 candidate genes from 386 Chinese patients were analyzed for association with the lipid responses to rosuvastatin 10 mg daily. The polymorphisms most highly associated with the low-density lipoprotein cholesterol (LDL-C) response were 421C>A in the ATP-binding cassette G2 gene (P=9.2×10), followed by 18281G>A (V257M) in the flavin-containing monooxygenase 3 gene (P=0.0002), 1421C>G in the lipoprotein lipase gene (P=0.002), and rs4420638 in the apolipoprotein E/C-I/C-IV/C-II gene cluster (P=0.004). Patients with familial hypercholesterolemia had 2.6% smaller reductions in LDL-C compared with patients without familial hypercholesterolemia. This study identified some genetic determinants of LDL-C response to rosuvastatin in Chinese patients, which need to be replicated in other populations.

Related Organizations
Keywords

Male, China, Sulfonamides, Cholesterol, LDL, Middle Aged, Lipid Metabolism, Polymorphism, Single Nucleotide, Fluorobenzenes, Pyrimidines, Asian People, Pharmacogenetics, Humans, Patient Compliance, Female, Rosuvastatin Calcium

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Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
45
Top 10%
Top 10%
Top 10%