Bioinformatics Core

核心摘要： 生物信息学核心旨在通过跨学科方法在执行项目1至4期间以及在TREC试点研究期间提供统计专业知识和方案编制支助。具体目标是：1)。为哈佛TREC中心提供统计和方法学支持，并开发回答该中心提出的研究问题的新方法；2)将流行病学、基础科学和临床医学结合起来，并确保将合理的统计方法纳入TREC中心的所有研究和培训活动；3)管理和维护适合用于有关肥胖和精力问题的二级流行病学分析的大型数据集，并用于制定和完善肥胖和癌症相关表型的衡量标准；以及4)。确保及时分享数据并将其提交给协调中心进行集中数据收集。在伯纳德·罗斯纳博士的领导下，核心成员将每月开会，审查项目中的统计和衡量问题。成员将参加年度务虚会，介绍最先进的统计方法、系统和多层次分析。个别统计员将定期与他们所支持的研究小组以及每个发展项目的首席调查员会面。生物信息学团队与所有项目负责人密切合作，开发提案中描述的统计方法和功率计算。该中心将作为TREC中心的一个组成部分，积极参与跨学科研究，并将开发新方法(或在项目中以新的方式应用现有方法)，重点是与试点研究接受者和新的研究人员合作。

Core Summary: The Bioinformatics Core aims to provide statistical expertise and programming support via a transdisciplinary approach during the implementation of projects 1 to 4, as well as during TREC pilot studies. The specific aims are: 1). To provide statistical and methodological support to the Harvard TREC Center, and develop new methods of answering research questions raised by the Center; 2). To interface epidemiology, basic sciences, and clinical medicine, and ensure that sound statistical methods are incorporated into all research and training activities at the TREC Center; 3). To manage and maintain large data sets appropriate for use in secondary epidemiologic analyses regarding obesity and energetic issues, and for developing and refining measures of obesity and cancer-related phenotypes; and 4). To ensure timely sharing of data and their submission for centralized data collection at the Coordinating Center. Under the leadership of Dr. Bernard Rosner, Core members will meet monthly to review statistical and measurement issues across the projects. Members will participate in the annual retreat with presentations on state-of-the-art statistical methodology systems and multilevel analysis. Individual statisticians will meet regularly with the research teams they support and with the lead investigators of each developmental project. The Bioinformatics team has worked closely with all Project Leaders in developing the statistical methods and power calculations described in the proposals. The Core will actively participate in transdisciplinary research as an integral part ofthe TREC Center and will develop new methods (or apply existing methods in novel ways across projects), with a particular focus of working with pilot study recipients and new investigators.