Abstract
Researchers are using pathway information for both pharmacogenomics study design and data analysis. Candidate gene approaches for the design of pharmacogenomic studies need reliable pathway information to choose the best candidate genes and SNPs, especially when using low to medium throughput genotyping technologies, to maximize the likelihood of success. With the mainstream use of high throughput gene expression microarrays and genome wide SNP assays, pathway-based approaches can also be valuable tool for data analysis. This review will discuss sources of pathway data and mechanisms for applying it to pharmacogenomics research.
Keywords: HumanCyc pathway, STKE Connections, CYP gene, GenMAPP, Systems Biology Mark-Up Language
Current Pharmacogenomics
Title: Pathway-based Approaches to Pharmacogenomics
Volume: 5 Issue: 1
Author(s): C. F. Thorn, M. Whirl-Carrillo, T. E. Klein and R. B. Altman
Affiliation:
Keywords: HumanCyc pathway, STKE Connections, CYP gene, GenMAPP, Systems Biology Mark-Up Language
Abstract: Researchers are using pathway information for both pharmacogenomics study design and data analysis. Candidate gene approaches for the design of pharmacogenomic studies need reliable pathway information to choose the best candidate genes and SNPs, especially when using low to medium throughput genotyping technologies, to maximize the likelihood of success. With the mainstream use of high throughput gene expression microarrays and genome wide SNP assays, pathway-based approaches can also be valuable tool for data analysis. This review will discuss sources of pathway data and mechanisms for applying it to pharmacogenomics research.
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Cite this article as:
Thorn F. C., Whirl-Carrillo M., Klein E. T. and Altman B. R., Pathway-based Approaches to Pharmacogenomics, Current Pharmacogenomics 2007; 5 (1) . https://dx.doi.org/10.2174/157016007780077167
DOI https://dx.doi.org/10.2174/157016007780077167 |
Print ISSN 1570-1603 |
Publisher Name Bentham Science Publisher |
Online ISSN 1570-1603 |
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