Pathway-based Approaches to Pharmacogenomics
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.
No Supplementary Data
No Article Media
Document Type: Research Article
Affiliations: Stanford University School of Medicine, Department of Genetics, 300 Pasteur Drive L337, Stanford, CA 94305; USA.
Publication date: March 1, 2007
More about this publication?
- Current Pharmacogenomics provides comprehensive overviews of all current research on pharmacogenomics and pharmacogenetics. All areas of the field from pre-clinical to clinical research are covered, including related areas such as genomics, proteomics, target discovery, bioinformatics and novel diagnostics. This international journal is peer-reviewed and publishes both mini- and full review articles.
The journal has become essential reading for all researchers and clinicians with interests in pharmacogenomics and pharmacogenetics.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites