Biostatistics and Bioinformatics Core

该SCOR提出了一种新的跨学科基因组融合方法，该方法集成了以下结果 项目1-3确定女性骨质疏松的遗传流行病学、功能基因组学和蛋白质组学 基因及其功能。此外，未来的分子和功能研究旨在确认这些基因 在本SCOR项目2的阶段2中举例说明了已识别并因此精确定位特定的原因突变 通过使用两个重要的基因(RUNX1和HOC)，我们在早期的遗传流行病学和 基因组学/功能基因组学研究。该方法和每个组件项目都涉及大量数据 管理和分析。建立生物统计学和生物信息学核心为三者服务是必要的 高效、经济的项目。核心基本上将作为一种资源，促进交流和 为SCOR中的所有单独项目进行协作。 生物统计和生物信息学核心具有但不限于以下具体目标： 1.与项目调查人员就实验设计问题和设计进行合作 有效获取、录入、跟踪、检索和传输数据的问卷和表格等。 2.实施(并在必要时开发)高效率和高质量的数据输入/管理数据库 所有单个项目的质量控制系统，并将质量控制措施纳入这些系统。 3.与项目调查人员持续合作，确保每项议定书的要求符合 对数据采集感到满意。 4.监测和评估新的数据管理方法和方案的出现，以及 分析。 5.与项目调查人员合作，选择和正确使用可用的最新版本和最新版本 适用于分析的软件。 6.监督并对本SCOR项目产生的所有数据进行统计分析。 7.与项目调查人员合作，解释分析结果并总结以下结果 出版物。 8.与项目调查人员合作，针对特殊需求进行定制软件设计和开发 如果有需要，我们将继续支持这一SCOR项目的实施。 9.为所有类型的基因测绘、基因组学和功能研究提供生物统计和生物信息学支持 基因组学平台将在此SCOR中使用。 10.开发新的统计方法和计算算法，以应对个人需要 项目和整个SCOR。

This SCOR proposes a novel inter-disciplinary genomic convergence approach that integrates results from Genetic Epidemiology, Functional Genomics, and Proteomics in Projects 1-3 to identify female osteoporosis genes and their functions. In addition, future molecular and functional studies aimed at confirming the genes to identified and thus pinpointing specific causal mutations are exemplified in Stage 2 of Project 2 of this SCOR by using two significant genes (RUNX1 and HOC) we identified in our earlier genetic epidemiology and genomics/functional genomics studies. The approach and each component project involve heavily data management and analyses. It is necessary to set up a Biostatistics and Bioinformatics Core to serve all the three projects efficiently and economically. The Core will essentially serve as a resource and foster exchange and collaboration for all individual projects in the SCOR. The Biostatistics and Bioinformatics Core has, but are not limited to, the following specific aims: 1. To collaborate with project investigators on the experimental design issues and the design of questionnaires and forms for efficient data acquisition, entry, tracking, retrieval and transfer, etc. 2. To implement (and develop if necessary) efficient and high quality data entry/management database system for all individual projects and to build quality control measures into those systems. 3. To work with project investigators on an ongoing basis to ensure that the requirements of each protocol are satisfied for data acquisition. 4. To monitor the emergence of and evaluate new methods and programs for data management and analyses. 5. To work with project investigators on choosing and correct usage of the available updated and most appropriate software for analyses. 6. To oversee and conduct the statistical analyses of all data generated from this SCOR project. 7. To work with project investigators on interpretation of the analysis results and summarizing the results for publications. 8. To work with project investigators on custom software design and development tailored to the special need of this SCOR project should the need arise. 9. To provide biostatistics and bioinformatics support for all types of gene mapping, genomics and functional genomics platforms to be used in this SCOR. 10. To develop new statistical methods and computational algorithms should the need arise for individual projects and the whole SCOR.