A GENOMEWIDE ASSOCIATION STUDY OF LIVER CANCER

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 NCI人口遗传学生物信息学核心实验室的成员将使用TeraGrid计算资源来进行肝癌的全基因组关联研究。这项研究将涉及250个病例和500个对照。每个样本将用Affymetrix基因组范围的人类SNP阵列6.0微阵列进行基因分型，该微阵列包含分析900,000个单核苷酸多态的探针组。最终得到的数据集将拥有6.75亿个数据点。TeraGrid计算资源将主要用于：1)预测单倍型；2)识别单倍型标签SNPs；3)测量遗传变异和疾病状态之间的相关性。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Members of the NCI Laboratory of Population Genetics Bioinformatics Core will use TeraGrid computing resources to perform a genome-wide association study of liver cancer. The study will involve 250 cases and 500 controls. Each sample will be genotyped with the Affymetrix Genome-Wide Human SNP Array 6.0 microarray, which contains probe sets assaying 900,000 single nucleotide polymorphisms. The resulting data set will have 675 million data points. TeraGrid computing resources will be used primarily to: 1) predict haplotypes 2), identify haplotype tag SNPs and 3) measure the correlation between genetic variants and disease state.