FAILURE TIME METHODS FOR FAMILY DISEASE STUDIES

家庭疾病研究的失败时间方法

• 批准号: 6537859
• 负责人: DAVID V. GLIDDEN
• 金额: $ 14.18万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-01 至 2004-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6537859
• 关键词: cardiovascular disorder epidemiology; data collection methodology /evaluation; disease /disorder onset; family genetics; gene environment interaction; genetic susceptibility; human data; linkage mapping

DESCRIPTION (Applicant's abstract) : The long-term objective of this research is the development of sound methodologies which will facilitate studying the role of both genetic and environmental factors in cardiovascular disease. The short term goal of the proposal is to develop statistical methods for age at onset data from population-based family studies of disease incidence. The methods for such studies must accommodate censoring, semi-parametric modeling and familial correlations. Further development is needed for methods which can model complex dependence structures and methods which can examine the fit of parametric dependence models to data. Accordingly, the specific aims of this proposal are development of: (1) a general strategy for evaluating the fit of parametric dependence models for familial clustering of ages at disease-onset; (2) a computationally simple method for genetic linkage analysis of age at onset data; (3) application and illustration of recently developed additive frailty models for complex familial dependence structures. Method (1) will be applied to a family study of cardiovascular disease and a twin study of appendectomy. Method (2) will be applied to ongoing genetic studies conducted at UCSF. Method (3) will be applied to a family study of coronary heart disease in Western Australia. Well-documented, user-friendly programs will be developed and made publicly available.

描述（申请人摘要）：本研究的长期目标 是发展健全的方法，这将有助于研究 遗传和环境因素在心血管疾病中的作用。的 该提案的短期目标是制定年龄统计方法， 发病数据来自基于人群的疾病发病率家庭研究。的 这种研究的方法必须适应删失、半参数建模 和家族相关性。需要进一步发展的方法， 模型复杂的依赖结构和方法，可以检查适合 数据的参数依赖模型。因此，这一具体目标 建议的发展：（1）一个总体战略，以评估适合 发病年龄家族聚集的参数依赖模型; (2)一种计算简单的年龄遗传连锁分析方法 起始数据;（3）最近开发的添加剂的应用和说明 复杂家庭依赖结构的脆弱模型。方法（1）将 应用于心血管疾病的家庭研究和双胞胎研究， 阑尾切除术方法（2）将应用于正在进行的遗传学研究 在UCSF方法（3）将应用于冠心病家系研究 在西澳大利亚。将开发记录良好、用户友好的程序 并公开发布。