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P20-M NCI CGEMS Data Portal: Sharing Data for Genome-Wide Association Studies

机译:P20-M NCI CGEMS数据门户:共享用于全基因组关联研究的数据

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摘要

A new NCI initiative, Cancer Genetic Markers of Susceptibility (CGEMS), is a three-year study designed to identify common genetic variations associated with risk for prostate and breast cancer. CGEMS will analyze the entire genome for the most common type of genetic variation, the single-nucleotide polymorphism (SNP). By studying large populations of individuals with and without disease, the CGEMS research can provide powerful indicators as to which SNP variations are associated with each disease. This study design is especially valuable for unraveling the genetic origins of complex diseases such as prostate and breast cancer.A critical requirement of the CGEMS project is to share raw data and analysis results from the study with the cancer research community. The NCI Center for Bioinformatics (NCICB), in collaboration with other NCI research groups, has built the CGEMS data portal to support data sharing of the CGEMS project (https://caintegrator.nci.nih.gov/cgems/).The first whole genome scan includes approximately 1200 prostate cancer cases and 1200 controls. The datasets available through the portal include: class="unordered" style="list-style-type:disc">Association test results for over 300,000 SNPsFrequency and descriptive statistics on these 300,000 SNPsIndividual phenotypic and genotypic data for the study participants and control samples. Note that these data can be made available only to eligible investigators after a registration process.CGEMS data portal development has leveraged the caIntegrator application framework, developed at NCICB. It shares a common set of application programming interfaces (APIs) and specification objects that support the clinical genomic analysis services. This allows fast development of Web-based query functionalities on all the data objects from the CGEMS project.
机译:NCI的一项新举措是“癌症易感性遗传标记”(CGEMS),是一项为期三年的研究,旨在鉴定与前列腺癌和乳腺癌风险相关的常见遗传变异。 CGEMS将分析整个基因组中最常见的遗传变异类型,即单核苷酸多态性(SNP)。通过研究大量有或没有疾病的个体,CGEMS研究可以提供强有力的指标,说明每种疾病与哪些SNP变异有关。这项研究设计对于阐明诸如前列腺癌和乳腺癌等复杂疾病的遗传起源特别有价值。CGEMS项目的关键要求是与癌症研究界共享研究的原始数据和分析结果。 NCI生物信息学中心(NCICB)与其他NCI研究小组合作建立了CGEMS数据门户,以支持CGEMS项目的数据共享(https://caintegrator.nci.nih.gov/cgems/)。全基因组扫描包括大约1200个前列腺癌病例和1200个对照。可通过门户获得的数据集包括: class =“ unordered” style =“ list-style-type:disc”> <!-list-behavior = unordered prefix-word = mark-type = disc max-label-size = 0-> 超过300,000个SNP的关联测试结果 这些300,000个SNP的频率和描述性统计数据 研究参与者和对照样本的个体表型和基因型数据。请注意,这些数据只能在注册过程后提供给合格的研究人员。 CGEMS数据门户网站的开发利用了NCICB开发的caIntegrator应用程序框架。它共享一组支持临床基因组分析服务的通用应用程序编程接口(API)和规范对象。这样可以对CGEMS项目中的所有数据对象快速开发基于Web的查询功能。

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