Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2012 Oct;131(10):1615-26.
doi: 10.1007/s00439-012-1221-z. Epub 2012 Aug 25.

The Success of Pharmacogenomics in Moving Genetic Association Studies From Bench to Bedside: Study Design and Implementation of Precision Medicine in the post-GWAS Era

Affiliations
Free PMC article
Review

The Success of Pharmacogenomics in Moving Genetic Association Studies From Bench to Bedside: Study Design and Implementation of Precision Medicine in the post-GWAS Era

Marylyn D Ritchie. Hum Genet. .
Free PMC article

Erratum in

  • Hum Genet. 2013 Dec;132(12):1437

Abstract

Pharmacogenomics is emerging as a popular type of study for human genetics in recent years. This is primarily due to the many success stories and high potential for translation to clinical practice. In this review, the strengths and limitations of pharmacogenomics are discussed as well as the primary epidemiologic, clinical trial, and in vitro study designs implemented. A brief discussion of molecular and analytic approaches will be reviewed. Finally, several examples of bench-to-bedside clinical implementations of pharmacogenetic traits will be described. Pharmacogenomics continues to grow in popularity because of the important genetic associations identified that drive the possibility of precision medicine.

Figures

Fig. 1
Fig. 1
A visual display of the three primary epidemiologic study designs used in pharmacogenomics: randomized clinical trials, case–control, and biobanks

Similar articles

See all similar articles

Cited by 37 articles

See all "Cited by" articles

References

    1. Armitage P. Tests for linear trends in proportions and frequencies. Biometrics. 1955;11:375–386. doi: 10.2307/3001775. - DOI
    1. Arteaga CL, et al. Treatment of HER2-positive breast cancer: current status and future perspectives. Nat Rev Clin Oncol. 2012;9:16–32. doi: 10.1038/nrclinonc.2011.177. - DOI - PubMed
    1. Ayers KL, Cordell HJ. SNP selection in genome-wide and candidate gene studies via penalized logistic regression. Genet Epidemiol. 2010;34:879–891. doi: 10.1002/gepi.20543. - DOI - PMC - PubMed
    1. Balding DJ. A tutorial on statistical methods for population association studies. Nat Rev Genet. 2006;7:781–791. doi: 10.1038/nrg1916. - DOI - PubMed
    1. Birdwell KA, et al. The use of a DNA biobank linked to electronic medical records to characterize pharmacogenomic predictors of tacrolimus dose requirement in kidney transplant recipients. Pharmacogenet Genomics. 2012;22:32–42. doi: 10.1097/FPC.0b013e32834e1641. - DOI - PMC - PubMed

LinkOut - more resources

Feedback