• DocumentCode
    2378613
  • Title

    Selecting SNPs for pharmacogenomic association study

  • Author

    Ahn, TaeJin ; Park, Kyunghee ; Son, Dae-Soon ; Nam Huh ; Lee, Kyusang ; Bae, Taejung ; Park, Jung-Sun ; Oh, So-Hee ; Lee, Ji-Hyun ; Rho, Kyoohyuong ; Kim, Sung ; Park, Tae Sung

  • Author_Institution
    Genetic Anal. Group, Samsung Adv. Inst. of Technol., Suwon, South Korea
  • fYear
    2010
  • fDate
    18-18 Dec. 2010
  • Firstpage
    312
  • Lastpage
    317
  • Abstract
    SNP genotyping device is an essential tool in the upcoming era of personal genome, personalized medicine. Human genome has more than 10 million SNPs while conventional SNP genotyping device can only hold 1 million SNPs. Thus intelligent SNP contents selection is required to maximize 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 significantly increased the product value when compared to contents of competitive SNP genotyping product.
  • Keywords
    cancer; genetics; genomics; medical computing; SNP; cancer; genotyping; pharmacogenomic association; SNP selection; association study; candidate gene approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2010 IEEE International Conference on
  • Conference_Location
    Hong, Kong
  • Print_ISBN
    978-1-4244-8303-7
  • Electronic_ISBN
    978-1-4244-8304-4
  • Type

    conf

  • DOI
    10.1109/BIBMW.2010.5703820
  • Filename
    5703820
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2378613