Selecting SNPs for pharmacogenomic association study

Tae Jin Ahn, Kyunghee Park, Dae Soon Son, Nam Huh, Sohee Oh, Taejung Bae, Jung Sun Park, Ji Hyun Lee, Kyoohyoung Rho, Sunghoon Kim, Taesung Park, Kyusang Lee

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

SNP genotyping device is an essential tool in the upcoming era of personal genome and personalised medicine. Human genome has more than 10 million SNPs whereas conventional SNP genotyping device can only hold 1 million SNPs. Thus, intelligent SNP contents selection is required to maximise the value of SNP genotyping device. Here, we developed a new selection algorithm and applied this method to design genotyping contents for cancer and pharmacogenomic association study. This approach signifi cantly increased the product value when compared with contents of competitive SNP genotyping product.

Original languageEnglish
Pages (from-to)521-533
Number of pages13
JournalInternational Journal of Data Mining and Bioinformatics
Volume6
Issue number5
DOIs
Publication statusPublished - 2012 Sep

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Biochemistry, Genetics and Molecular Biology(all)
  • Library and Information Sciences

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  • Cite this

    Ahn, T. J., Park, K., Son, D. S., Huh, N., Oh, S., Bae, T., Park, J. S., Lee, J. H., Rho, K., Kim, S., Park, T., & Lee, K. (2012). Selecting SNPs for pharmacogenomic association study. International Journal of Data Mining and Bioinformatics, 6(5), 521-533. https://doi.org/10.1504/IJDMB.2012.049317