Genetic and Statistical Analysis Core (GSAC)

遗传和统计分析核心(GSAC)有三套主要职责，可能是 被视为具体目标：(A)遗传分析、(B)数据管理和(C)数据分析。国资委将采取行动 作为所有临床、遗传和表型数据的交换中心，这些数据将被转移到DMCC。在这 作为一种时尚，国资委将有效地成为跟踪所有数据及其来源的中央小组。 GSAC可供其他项目的调查人员用于：(A)管理和检查流入数据库资源的信息流；(B)跟踪标本；(C)遗传分析；(D)为统计分析提供数据集，并为其分析提供支持。这一核心结构将通过提供单一的集中资源，实现临床和基础科学研究方案组成部分的最佳协调。所有项目都将使用此核心。 数据分析包括生物统计数据分析、数据清理、质量保证、监测患者招募和保留，以及协助编写中期报告。最优生物统计分析还包括参与实验设计问题。国资委还将协助准备手稿和演示文稿。

The Genetic and Statistical Analysis Core (GSAC) has three primary sets of responsibilities, which may be viewed as specific aims: (a) genetic analyses, (b) data management, and (c) data analysis. The GSAC will act as a clearinghouse for all clinical, genetic and phenotypic data that will be transferred to the DMCC. In this fashion, the GSAC will effectively be the centralized group that tracks all data and their sources. The GSAC is available to the Investigators of the other Projects for: (a) managing and checking the flow of information into the database resources; (b) tracking specimens; (c) genetic analyses; and (d) providing datasets for statistical analysis and support for their analyses. This core structure will allow for optimal coordination of the clinical and basic science research programs components by providing a single centralized resource. All projects will use this Core. Data analysis includes biostatistical data analysis, data cleaning, quality assurance, monitoring patient recruitment and retention, and assistance with preparation of interim reports. Optimal biostatistical analysis also includes involvement in experimental design issues. The GSAC will also assist in preparation of manuscripts and presentations.