Selecting SNPs for pharmacogenomic association study
by 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
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 6, No. 5, 2012

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 significantly increased the product value when compared with contents of competitive SNP genotyping product.

Online publication date: Wed, 17-Dec-2014

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