Cancer Clustering for Residential Histories

居住史的癌症聚类

• 批准号: 6989967
• 负责人: Geoffrey M. Jacquez
• 金额: $ 10万
• 依托单位: BIOMEDWARE
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6989967
• 关键词: Cancer; Clustering; Residential; Histories

DESCRIPTION (provided by applicant): This project will develop a new approach for evaluating clustering in case-control data that accounts for residential histories. At present, few if any methods exist for modeling and analyzing residential histories using data from epidemiologic case-control studies. Local, global and focused tests for residential histories will be developed based on sets of matrices of nearest neighbor relationships that reflect the changing space-time geometry of the residential addresses of cases and controls. Exposure traces that account for the latency between exposure and disease manifestation, and that use exposure windows of varying duration will be defined. Several of the methods so derived will be applied to evaluate clustering of residential histories in an ongoing case-control study of bladder cancer in south eastern Michigan. Because humans are mobile, these new methods are a significant advance over approaches that ignore residential histories and instead rely only on place of residence at time of diagnosis or death. The major innovation is the creation of methods for analyzing and modeling the residential histories of cases and controls to identify geographic excesses of cancer risk, both in the study population itself as well as in relation to putative hazards such as point-source releases of carcinogens. The techniques and software to be developed in this project will provide a more concise and accurate description of clustering of cancer cases that accounts for residential history, cancer latency, time of diagnosis, and the exposure windows during which causative exposures are hypothesized to have occurred.

描述（由申请人提供）：该项目将开发一种新的方法来评估病例对照数据中的聚类，该数据考虑了居住历史。目前，很少有方法存在的建模和分析居住史的流行病学病例对照研究的数据。本地，全球和重点测试的住宅历史将开发的基础上，矩阵的最近邻关系，反映了不断变化的时空几何的情况下，控制的住宅地址。将定义暴露轨迹，其说明暴露与疾病表现之间的潜伏期，并使用不同持续时间的暴露窗口。几个这样得出的方法将被应用于评估集群的居住史在一个正在进行的病例对照研究膀胱癌在密歇根州东南部。由于人类是移动的，这些新方法是一个重大的进步，而不是忽视居住历史的方法，而是只依赖于诊断或死亡时的居住地。主要的创新是创建了用于分析和建模病例和对照的居住历史的方法，以识别研究人群本身以及与致癌物的点源释放等推定危害有关的地理过度癌症风险。在这个项目中开发的技术和软件将提供一个更简洁和准确的描述癌症病例的聚类，占居住史，癌症潜伏期，诊断时间，以及暴露窗口期间，假设已经发生了致病暴露。