A GENOMEWIDE ASSOCIATION STUDY OF LIVER CANCER

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目及 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 NCI人口遗传学生物信息学核心实验室的成员将使用TeraGrid计算资源进行肝癌的全基因组关联研究。该研究将涉及250例病例和500例对照。每个样本将使用Affyssin全基因组人类SNP阵列6.0微阵列进行基因分型，该微阵列包含检测900，000个单核苷酸多态性的探针组。由此产生的数据集将有6.75亿个数据点。TeraGrid计算资源将主要用于：1）预测单体型2）识别单体型标签SNP和3）测量遗传变异与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.