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Pharmacogenomics — Drug Disposition, Drug Targets, and Side Effects
Abstract
It is well recognized that different patients respond in different ways to the same medication. These differences are often greater among members of a population than they are within the same person at different times (or between monozygotic twins).1 The existence of large population differences with small intrapatient variability is consistent with inheritance as a determinant of drug response; it is estimated that genetics can account for 20 to 95 percent of variability in drug disposition and effects.2 Although many nongenetic factors influence the effects of medications, including age, organ function, concomitant therapy, drug interactions, and the nature of the . . .
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Sandee, D., Morrissey, K., Agrawal, V., Tam, H. K., Kramer, M. A., Tracy, T. S., Giacomini, K. M., & Miller, W. L. (2010) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0b013e32833f4f9b · Cited by 74
Choi, H. Y., Bae, K.-S., Cho, S.-H., Ghim, J.-L., Choe, S., Jung, J. A., Jin, S.-J., Kim, H.-S., & Lim, H.-S. (2015) · Pharmacogenetics and Genomics · doi:10.1097/fpc.0000000000000176 · Cited by 49
Gulliver, T., Morton, R., & Eid, N. (2007) · Pediatric Drugs · doi:10.2165/00148581-200709030-00007 · Cited by 47
Expression profiling of drug response - from genes to pathways
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Metadata
- Authors
- Evans, W. E., & McLeod, H. L.
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2003-02-06
- Volume
- 348
- Issue
- 6
- Pages
- 538-549
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2155033804
- Cited by
- 1,769
- References
- 0
- FWCI
- 118.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
