Please use this identifier to cite or link to this item:
|Title:||Predicting potentially functional SNPs in drug-response genes|
|Source:||Pang, G.S.Y., Wang, J., Wang, Z., Lee, C.G.L. (2009). Predicting potentially functional SNPs in drug-response genes. Pharmacogenomics 10 (4) : 639-653. ScholarBank@NUS Repository. https://doi.org/10.2217/pgs.09.12|
|Abstract:||SNPs are known to contribute to variations in drug response and there are more than 14 million polymorphisms spanning the human genome. However, not all of these SNPs are functional. It would be impractical and costly to evaluate every individual SNP for functionality experimentally. Consequently, one of the major challenges for researchers has been to seek out functional SNPs from all the SNPs in the human genome. In silico or bioinformatic methods are economical, less labor intensive, yet powerful approaches to filter out potentially functional SNPs in drug-response genes for further study. This allows researchers to prioritize which SNPs to subsequently evaluate experimentally for drug-response studies, as well as potentially providing insights into possible mechanisms underlying how SNPs may affect drug-response genes. © 2009 Future Medicine Ltd.|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 17, 2018
WEB OF SCIENCETM
checked on Dec 5, 2017
checked on Jan 21, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.