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
相关论文
共 50 条
  • [31] Genome-wide association studies in pharmacogenomics
    Daly, Ann K.
    [J]. NATURE REVIEWS GENETICS, 2010, 11 (04) : 241 - 246
  • [32] Genome-wide association studies in pharmacogenomics
    Ann K. Daly
    [J]. Nature Reviews Genetics, 2010, 11 : 241 - 246
  • [33] Dealing with Heterogeneity between Cohorts in Genomewide SNP Association Studies
    Lebrec, Jeremie J.
    Stijnen, Theo
    van Houwelingen, Hans C.
    [J]. STATISTICAL APPLICATIONS IN GENETICS AND MOLECULAR BIOLOGY, 2010, 9 (01):
  • [34] Accounting for Relatedness in Genomewide Association Studies: An Empirical Methods Comparison
    Eu-Ahsunthornwattana, Jakris
    Miller, Nancy
    Pirinen, Matti
    Fakiola, Michaela
    Jeronimo, Selma M. B.
    Blackwell, Jenefer M.
    Cordell, Heather J.
    [J]. GENETIC EPIDEMIOLOGY, 2012, 36 (07) : 772 - 773
  • [35] Genomewide Association Studies in Cardiovascular Disease-An Update 2011
    Zeller, Tanja
    Blankenberg, Stefan
    Diemert, Patrick
    [J]. CLINICAL CHEMISTRY, 2012, 58 (01) : 92 - 103
  • [36] Genomewide Association Studies and Common Disease - Realizing Clinical Utility
    Fugger, Lars
    McVean, Gil
    Bell, John I.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2012, 367 (25): : 2370 - 2371
  • [37] GENOMEWIDE GENETIC ASSOCIATION STUDIES OF SSRI SIDE EFFECTS.
    Wen, C. C.
    Shen, L.
    Giacomini, K. M.
    Risch, N.
    Schaefer, C.
    [J]. CLINICAL PHARMACOLOGY & THERAPEUTICS, 2012, 91 : S61 - S61
  • [38] The first genomewide association studies of social and nonsocial autistic traits
    Ronald, A.
    [J]. AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS, 2006, 141B (07) : 687 - 687
  • [39] Replication of genomewide association studies on age at menarche in the Korean population
    Kyung-Won Hong
    Cheong-Sik Kim
    Haesook Min
    Seon-Joo Park
    Jae Kyung Park
    Younjhin Ahn
    Sung Soo Kim
    Yeonjung Kim
    [J]. Genes & Genomics, 2013, 35 : 69 - 75
  • [40] Registration of the Rice Diversity Panel 1 for Genomewide Association Studies
    Eizenga, Georgia C.
    Ali, Md Liakat
    Bryant, Rolfe J.
    Yeater, Kathleen M.
    McClung, Anna M.
    McCouch, Susan R.
    [J]. JOURNAL OF PLANT REGISTRATIONS, 2014, 8 (01) : 109 - 116