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|Title:||Predicting potentially functional SNPs in drug-response genes||Authors:||Pang, G.S.Y.
|Issue Date:||2009||Citation:||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.||Source Title:||Pharmacogenomics||URI:||http://scholarbank.nus.edu.sg/handle/10635/133022||ISSN:||14622416||DOI:||10.2217/pgs.09.12|
|Appears in Collections:||Staff Publications|
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