STATISTICAL METHODS FOR GENETIC EPIDEMIOLOGY

遗传流行病学统计方法

• 批准号: 6329747
• 负责人: KUNG-YEE LIANG
• 金额: $ 24.17万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-08-01 至 2001-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6329747
• 关键词: cardiovascular disorder epidemiology; data collection methodology /evaluation; epidemiology; family genetics; human data; linkage mapping; mental health epidemiology; method development; neoplasm /cancer epidemiology; statistics /biometry

DESCRIPTION: The objective of this renewed proposal is to continue developing and implementing new statistical methodology for genetic epidemiologic studies of complex chronic diseases including cancer, allergy and psychiatric disorders. The focus will be on the development of new statistical methods for analyzing multivariate survival data which occurs frequently when family data are collected to address issues such as detecting familial aggregation and identifying distinct genetic subtypes; mapping disease genes for complex diseases using multipoint linkage method or the association study method; incorporating genetic heterogeneity into the analysis of genetic linkage data. For each of these specific aims, we will evaluate existing statistical methods and point out their limitations and the impact of these on drawing valid inferences; develop and study both analytically and empirically, new statistical methods that are appropriate to address these issues; apply these new statistical methods to actual data sets of a variety of complex diseases which have motivated this proposed research; develop and distribute software to implement these new statistical techniques. The work proposed here will contribute, as we have in the past, statistical methodology to the field of genetic epidemiology in general and offer insight into each of the clinical areas represented by the various data sets used to illustrate these new methods.

描述：这项重新提议的目的是继续 开发和实施遗传的新统计方法 复杂慢性疾病在内的流行病学研究，包括癌症，过敏 和精神疾病。 重点将放在新的发展上 分析发生多元生存数据的统计方法 当收集家庭数据以解决等问题时，通常 检测家族聚集并识别不同的遗传亚型； 使用多点连接方法映射复杂疾病的疾病基因 或协会研究方法；将遗传异质性纳入 遗传连锁数据的分析。 对于这些特定目标，我们 将评估现有统计方法并指出其局限性 以及这些对制定有效推论的影响；发展和研究既 从分析和经验上，适当的新统计方法 解决这些问题；将这些新的统计方法应用于实际数据 各种复杂疾病的促进了这一疾病 研究;开发和分发软件以实施这些新的统计 技术。 像我们过去一样，这里提出的工作将做出贡献 统计方法学对遗传流行病学领域一般， 提供有关各种代表的每个临床领域的见解 数据集用于说明这些新方法。