Genome-Wide Association Study: A Useful Tool to Identify Common Genetic Variants Associated with Drug Toxicity and Efficacy in Cancer Pharmacogenomics

被引:44
作者
Low, Siew-Kee [1 ]
Takahashi, Atsushi [1 ]
Mushiroda, Taisei [2 ]
Kubo, Michiaki [3 ]
机构
[1] RIKEN Ctr Integrat Med Sci, Core Genom Med, Lab Stat Anal, Yokohama, Kanagawa 2300045, Japan
[2] RIKEN Ctr Integrat Med Sci, Lab Pharmacogen, Yokohama, Kanagawa 2300045, Japan
[3] RIKEN Ctr Integrat Med Sci, Core Genom Med, Lab Genotyping Dev, Yokohama, Kanagawa 2300045, Japan
关键词
CELL LUNG-CANCER; ADJUVANT TAMOXIFEN THERAPY; INDUCED LIVER-INJURY; IMPLEMENTATION CONSORTIUM; CLINICAL-OUTCOMES; GENOTYPE; HLA-A-ASTERISK-3101; RESPONSIVENESS; POLYMORPHISMS; NEUTROPENIA;
D O I
10.1158/1078-0432.CCR-13-2755
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
In recent years, the utilization of genome-wide association study (GWAS) has proved to be a beneficial method to identify novel common genetic variations not only for disease susceptibility but also for drug efficacy and drug-induced toxicity, creating a field of pharmacogenomics studies. In addition, the findings from GWAS also generate new biologic hypotheses that could improve the understanding of pathophysiology for disease or the mechanism of drug-induced toxicity. This review highlights the implications of GWAS that have been published to date and discusses the successes as well as challenges of using GWAS in cancer pharmacogenomics. The aim of pharmacogenomics is to realize the vision of personalized medicine; it is hoped that through GWAS, novel common genetic variations could be identified to predict clinical outcome and/or toxicity in cancer therapies that subsequently could be implemented to improve the quality of lives of patients with cancer. Nevertheless, given the complexity of cancer therapies, underpowered studies, and large heterogeneity of study designs, collaborative efforts are needed to validate these findings and overcome the limitations of GWA studies before clinical implementation.
引用
收藏
页码:2541 / 2552
页数:12
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