Genomewide Association Studies in Pharmacogenomics

被引:35
|
作者
McInnes, Gregory [1 ]
Yee, Sook Wah [2 ]
Pershad, Yash [3 ]
Altman, Russ B. [3 ,4 ]
机构
[1] Stanford Univ, Biomed Informat Training Program, Stanford, CA 94305 USA
[2] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, San Francisco, CA 94143 USA
[3] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[4] Dept Genet, Med, Biomed Data Sci, Stanford, CA USA
基金
美国国家卫生研究院;
关键词
WIDE ASSOCIATION; GENETIC-VARIANTS; HEPATITIS-C; COMMON; DETERMINANTS; THERAPY; RISK; POLYMORPHISMS; METAANALYSIS; TRANSPORTER;
D O I
10.1002/cpt.2349
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The increasing availability of genotype data linked with information about drug-response phenotypes has enabled genomewide association studies (GWAS) that uncover genetic determinants of drug response. GWAS have discovered associations between genetic variants and both drug efficacy and adverse drug reactions. Despite these successes, the design of GWAS in pharmacogenomics (PGx) faces unique challenges. In this review, we analyze the last decade of GWAS in PGx. We review trends in publications over time, including the drugs and drug classes studied and the clinical phenotypes used. Several data sharing consortia have contributed substantially to the PGx GWAS literature. We anticipate increased focus on biobanks and highlight phenotypes that would best enable future PGx discoveries.
引用
收藏
页码:637 / 648
页数:12
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