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Core D: Data Management, Biostatistics, and Bioinformatics

Core D: Data Management, Biostatistics, and Bioinformatics
核心 D:数据管理、生物统计学和生物信息学
批准号:
10249999
负责人:
David V Conti
金额:
$69.36万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-07-05 至 2024-06-30

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中文摘要
翻译
摘要-数据管理、生物统计学和生物信息学核心D 数据管理、生物统计和生物信息学核心将提供本地和基于云的数据 整个计划项目的管理系统,将启用特定于项目的分析,以及 利用整个项目的数据进行综合分析。核心将作为集中式数据中心 用于建立患有前列腺癌的非裔美国人(AA)男性的预期反应队列 (PCA)。这包括:(1)问卷数据,包括与社会压力源有关的多层次因素,与 社区社会经济指标将通过招聘核心B收集,主要是 在项目1中使用;(2)生殖系全基因组基因数据和外显子组测序数据 项目2;(3)作为项目3的一部分产生的体细胞和表达数据;(4)免疫细胞图谱评估 项目4中的肿瘤微环境(5)和库中肿瘤标本的病理相关评估 核心还将提供统计和生物信息学支持和专业知识。作为一种凝聚力 作为该股的一部分,核心将利用对数据资源的熟悉程度和跨项目分析的共性。 最后,核心将作为执行综合分析的基础。这包括复杂的 综合统计分析和获取跨项目的联合成果。核心的活动将主要是 在南加州大学生物统计学和翻译基因组学分部内进行 小组-受益于共享的计算资源、积极的协作和最新的方法 统计方法、综合分析和信息学的发展。核心对整体是必不可少的 计划项目的成功,因为它是处理和存储数据、建议和完成的孵化器 特定于项目的分析,并执行和加速跨项目集成和发现。
英文摘要
Abstract – Data Management, Biostatistics, and Bioinformatics Core D The Data Management, Biostatistics, and Bioinformatics Core will provide a local and cloud-based data management system for the entire Program Project that will enable Project-specific analyses, as well as integrated analyses utilizing data spanning the entire Project. The Core will serve as the centralized data hub for the establishment of the prospective RESPOND cohort of African American (AA) men with prostate cancer (PCa). This includes: (1) questionnaire data, including multi-level factors related to social stressors, linkages to neighborhood socioeconomic indicators that will be collected through the recruitment Core B and primarily used in Project 1; (2) germline genome-wide genotype data and exome-sequencing data generated as part of Project 2; (3) somatic and expression data generated as part of Project 3; (4) immune cell profiles assessing the tumor microenvironment in Project 4; (5) and pathology related assessments of banked tumor specimens from Core C. The Core will also provide statistical and bioinformatics support and expertise. As a cohesive unit, the Core will leverage familiarity with data resources and commonalities of analysis across Projects. Finally, the Core will serve as the foundation for performing integrated analysis. This includes sophisticated integrated statistical analyses and access of joint results across Projects. The Core’s activities will be primarily performed within the University of Southern California’s Biostatistics Division and Translational Genomics group – benefiting from shared computational resources, active collaborations, and recent methodological developments in statistical approaches, integrated analysis and informatics. The Core is essential to the overall success of the Program Project as it serves as an incubator to process and store data, advise and complete Project-specific analyses, and perform and accelerate cross-Project integration and discoveries.
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会议论文
Multiethnic GWAS and TWAS to Inform Risk Prediction for Prostate Cancer
Leveraging Diversity in Cancer Epidemiology Cohorts and Novel Methods to Improve Polygenic Risk Scores
Multiethnic GWAS and TWAS to Inform Risk Prediction for Prostate Cancer
Leveraging Diversity in Cancer Epidemiology Cohorts and Novel Methods to Improve Polygenic Risk Scores
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