The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Pharmacogenomics: Unlocking the Human Genome for Better Drug Therapy
Abstract
There is great heterogeneity in the way humans respond to medications, often requiring empirical strategies to find the appropriate drug therapy for each patient (the “art” of medicine). Over the past 50 years, there has been great progress in understanding the molecular basis of drug action and in elucidating genetic determinants of disease pathogenesis and drug response. Pharmacogenomics is the burgeoning field of investigation that aims to further elucidate the inherited nature of interindividual differences in drug disposition and effects, with the ultimate goal of providing a stronger scientific basis for selecting the optimal drug therapy and dosages for each patient. These genetic insights should also lead to mechanism-based approaches to the discovery and development of new medications. This review highlights the current status of work in this field and addresses strategies that hold promise for future advances in pharmacogenomics.
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Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
Alizadeh, A. A., Eisen, M. B., Davis, R. E., Ma, C., Lossos, I. S., Rosenwald, A., Boldrick, J. C., Sabet, H., Tran, T., Yu, X., et al. (2000) · Nature · doi:10.1038/35000501 · Cited by 9,925
Pharmacogenomics: Translating Functional Genomics into Rational Therapeutics
Evans, W. E., & Relling, M. V. (1999) · Science · doi:10.1126/science.286.5439.487 · Cited by 2,475
Self-citationPinkel, D., Segraves, R., Sudar, D., Clark, S., Poole, I., Kowbel, D., Collins, C., Kuo, W.-L., Chen, C., Zhai, Y., et al. (1998) · Nature Genetics · doi:10.1038/2524 · Cited by 2,240
Systematic variation in gene expression patterns in human cancer cell lines
Ross, D. T., Scherf, U., Eisen, M. B., Perou, C. M., Rees, C., Spellman, P., Iyer, V., Jeffrey, S. S., Van de Rijn, M., Waltham, M., et al. (2000) · Nature Genetics · doi:10.1038/73432 · Cited by 2,088
The Transcriptional Program in the Response of Human Fibroblasts to Serum
Iyer, V. R., Eisen, M. B., Ross, D. T., Schuler, G., Moore, T., Lee, J. C. F., Trent, J. M., Staudt, L. M., Hudson, J., Boguski, M. S., et al. (1999) · Science · doi:10.1126/science.283.5398.83 · Cited by 1,965
A gene expression database for the molecular pharmacology of cancer
Scherf, U., Ross, D. T., Waltham, M., Smith, L. H., Lee, J. K., Tanabe, L., Kohn, K. W., Reinhold, W. C., Myers, T. G., Andrews, D. T., et al. (2000) · Nature Genetics · doi:10.1038/73439 · Cited by 1,450
Genome-wide analysis of DNA copy-number changes using cDNA microarrays
Pollack, J. R., Perou, C. M., Alizadeh, A. A., Eisen, M. B., Pergamenschikov, A., Williams, C. F., Jeffrey, S. S., Botstein, D., & Brown, P. O. (1999) · Nature Genetics · doi:10.1038/12640 · Cited by 1,423
Brookes, A. J. (1999) · Gene · doi:10.1016/s0378-1119(99)00219-x · Cited by 1,377
MiRP1 Forms IKr Potassium Channels with HERG and Is Associated with Cardiac Arrhythmia
Abbott, G. W., Sesti, F., Splawski, I., Buck, M. E., Lehmann, M. H., Timothy, K. W., Keating, M. T., & Goldstein, S. A. N. (1999) · Cell · doi:10.1016/s0092-8674(00)80728-x · Cited by 1,354
Cited by
Pharmacogenomics — Drug Disposition, Drug Targets, and Side Effects
Evans, W. E., & McLeod, H. L. (2003) · New England Journal of Medicine · doi:10.1056/nejmra020526 · Cited by 1,769
Self-citationPharmacometabonomics and personalized medicine
Everett, J. R., Loo, R. L., & Pullen, F. S. (2013) · Annals of Clinical Biochemistry International Journal of Laboratory Medicine · doi:10.1177/0004563213497929 · Cited by 75
Metadata
- Authors
- McLeod, H. L., & Evans, W. E.
- Venue
- Annual Review of Pharmacology and Toxicology
- Publisher
- Annual Reviews
- Published
- 2001-04
- Volume
- 41
- Issue
- 1
- Pages
- 101-121
- ISSN
- 0362-1642 (ISSN-L)
- 1545-4304
- OpenAlex
- W2168151539
- Cited by
- 331
- References
- 69
- FWCI
- 2.55
- Type
- journal article
- Language
- en
- Open access
- closed
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- McLeod, H. L., & Evans, W. E. (2001). Pharmacogenomics: Unlocking the Human Genome for Better Drug Therapy. Annual Review of Pharmacology and Toxicology. https://doi.org/10.1146/annurev.pharmtox.41.1.101
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
