Biostatistics and Informatics Core

生物统计学和信息学核心（BIC）汇集了生物统计学，信息学和数据库专家，以支持各个SPORE项目，核心和领导的信息和分析需求。BIC扮演两个关键角色。一是为所有项目和核心提供基本的统计分析支持。在过去，这一活动的亮点是开发了高通量珠基测定平台的质量控制和标准化程序，以及在筛选研究中组合、评估和使用生物标志物的统计方法。第二个关键角色包括管理来自项目和核心的数据。这项活动的亮点是开发了一个全面的信息系统，该系统目前保存了3000名参加我们研究的妇女的20多万份独特标本的数据，包括所有相关的临床、流行病学和研究测定数据，并协调了几个孢子间的合作。在下一阶段，BIC将继续管理每个项目的信息需求，并协助促进高质量的数据分析。具体的统计研究支持将包括在筛选研究（前瞻性筛选项目）中随着时间的推移使用多种生物标志物的方法的修订，以及用于发现多基因组分模式（CP）的统计技术的开发。数据管理的具体发展包括标本库数据管理的新方法（所有项目），扩展基于网络的信息学系统，以支持项目1的新型标记物随机对照试验的信息学协调中心的工作，扩大对项目2和5中描述的1期临床试验的支持，并完成我们的努力，以获得CABlG合规性。由于BIC信息系统的经验和能力，我们被GenoLogics选为其下一代综合信息系统的开发合作伙伴，包括样本跟踪，查询和数据共享组件。在金丝雀基金会和FHCRC的支持下，我们将在2009年过渡到GenoLogics平台。GenoLogics将在全球范围内销售他们的系统。

The Biostatistics and Informatics Core (BIC) brings together biostatistical, informatics and database experts to support the information and analysis needs ofthe individual SPORE projects, cores, and leadership. The BIC serves two key roles. The first is to provide basic statistical analysis support to all projects and cores. Highlights of this activity in the past have been the development of procedures for quality control and normalization of high throughput bead-based assay platforms, and statistical methods for combining, evaluating and using biomarkers in screening studies. The second key role includes managing the data from projects and cores. Highlights of this activity has been the development of a comprehensive informatics system that currently maintains data for over 200,000 unique specimens from 3000 women enrolled in our studies, including all associated clinical, epidemiological and research assay data, and coordination of several inter-spore collaborations. ' During the next phase the BIC will continue to manage each project's information needs and assist in facilitating high quality data analysis. Specific statistical research support will include the revision of methods for using multiple biomarkers over time in a screening study (prospective screening project), and development of statistical techniques for the discovery of multigene Component Patterns (CPs). Specific developments for data management include new methods for management of specimen repository data (all projects), expanding the web-based Informatics System to support the work of the Informatics Coordinating Center for Project 1's Novel Markers Randomized Control Trial, expanding support to manage Phase 1 clinical trials described in Projects 2 and 5, and completing our efforts to obtain caBlG compliance. Because ofthe experience and capabilities ofthe BIC Informatics System, we were selected by GenoLogics to serve as a development partner for their next-generation comprehensive information system, including components of sample tracking, query, and data sharing. With support from the Canary Foundation and FHCRC we will transition to the GenoLogics platform in 2009. GenoLogics will market their system worldwide.