Selecting SNPs for Pharmacogenomic Association Study

被引：0

作者：

Ahn, TaeJin ^{[1
,2
]}

Park, Kyunghee ^{[1
]}

Son, Dae-Soon ^{[1
]}

Huh, Nam ^{[1
]}

Lee, Kyusang ^{[1
]}

Bae, Taejung ^{[4
]}

Park, Jung-Sun ^{[2
]}

Oh, So-Hee ^{[3
]}

Lee, Ji-Hyun ^{[4
]}

Rho, Kyoohyuong ^{[4
]}

Kim, Sung ^{[4
]}

Park, Tae Sung ^{[2
,3
]}

机构：

[1] Samsung Adv Inst Technol, Bio Lab, Genet Anal Grp, Suwon, South Korea

[2] Seoul Natl Univ, Bioinformat Program, Seoul, South Korea

[3] Seoul Natl Univ, Dept Stat, Seoul, South Korea

[4] Seoul Natl Univ, Coll Pharm, Seoul, South Korea

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW) | 2010年

关键词：

candidate gene approach; SNP selection; association study; GENOME-WIDE ASSOCIATION; GENETIC ASSOCIATION; COST EFFICIENCY; MARKER SETS; POWER; COVERAGE; CHIPS; HAPMAP;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：312 / 317

页数：6

共 18 条

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