Biostatistics and Bioinformatics Core

该SCOR提出了一种新的跨学科基因组融合方法， 项目1-3中的遗传流行病学、功能基因组学和蛋白质组学，以识别女性骨质疏松症 基因及其功能。此外，未来的分子和功能研究旨在确认基因， 本SCOR项目2的第2阶段举例说明了识别并由此精确定位特定因果突变的情况 通过使用我们在早期遗传流行病学中鉴定的两个重要基因（RUNX 1和HOC）， 基因组学/功能基因组学研究。该方法和每个组成项目都涉及大量数据 管理和分析。有必要建立一个生物统计学和生物信息学核心来服务于这三个方面 项目高效、经济。核心将主要作为一种资源，促进交流， 在SCOR中的所有单个项目的协作。 生物统计学和生物信息学核心有，但不限于，以下具体目标： 1. 与项目研究人员就实验设计问题和 调查表和表格，用于有效的数据获取、输入、跟踪、检索和传输等。 2. 实施（并在必要时开发）高效和高质量的数据输入/管理数据库 所有个别项目的质量控制系统，并将质量控制措施纳入这些系统。 3. 与项目研究人员持续合作，确保每个方案的要求 满足数据采集。 4. 监测和评估新的数据管理方法和程序的出现， 分析。 5. 与项目调查人员合作，选择和正确使用现有的最新和最新的 适当的软件进行分析。 6. 监督和进行统计分析的所有数据从这个SCOR项目产生的。 7. 与项目调查人员一起解释分析结果，并总结结果， 出版物。 8. 与项目调查员合作，根据特殊需求进行定制软件设计和开发 这个SCOR项目的一部分 9. 为所有类型的基因定位、基因组学和功能研究提供生物统计学和生物信息学支持。 基因组学平台将用于此SCOR。 10. 开发新的统计方法和计算算法，以满足个人需求。 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.