STATISTICAL METHODS FOR GENETICS EPIDEMIOLOGY

遗传流行病学统计方法

• 批准号: 2187472
• 负责人: KUNG-YEE LIANG
• 金额: $ 21.31万
• 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 1997-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2187472
• 关键词: cardiovascular disorder epidemiology; epidemiology; family genetics; human data; linkage mapping; mental health epidemiology; method development; neoplasm /cancer epidemiology; statistics /biometry

The objective of this grant is to develop and implement new statistical methodology useful for genetic epidemiologic studies of complex chronic diseases such as cancer, coronary heart disease, allergy, as well as psychiatric illness. The focus will be on the development of statistical methods for: (I) analyzing multivariate survival data which occurs frequently when family data are collected to detect familial aggregation and to identify genetic subtypes of diseases with a late age-of-onset; (II) incorporating genetic heterogeneity and diagnostic ambiguity (or misdiagnosis) into the analysis of genetic linkage data; (III) addressing some statistical issues concerning the use of a relatively new method, the interval mapping method, to detect genetic linkage. For each of the specific aims, we will: (A) evaluate existing statistical methods and point out the place and the extent to which these methods may break down, (B) develop and study both analytically and empirically, new methods appropriate to the issues addressed above, (C) apply these methods to actual data sets of a variety of complex diseases which have motivated this proposed research. The work proposed here will both contribute 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 to illustrate these new methods.

这笔赠款的目的是开发和实施新的统计 对于复杂慢性的遗传流行病学研究有用的方法 癌症，冠心病，过敏以及 精神病。 重点将放在统计的发展上 方法： （i）分析多元生存数据，这些数据经常发生 收集家庭数据以检测家庭聚集并确定 疾病的遗传亚型患有晚期的疾病； （ii）结合遗传异质性和诊断歧义（或 误诊）分析遗传联系数据； （iii）解决有关使用的一些统计问题 相对较新的方法，即间隔映射方法，以检测遗传 连锁。 对于每个特定目标，我们将： （a）评估现有统计方法并指出该地点 这些方法可能会崩溃的程度， （b）在分析和经验上开发和研究新方法 适合上述问题， （c）将这些方法应用于各种复杂的实际数据集 激发了这项拟议研究的疾病。 这里提出的工作都将为统计方法贡献 一般而言，遗传流行病学领域 以各种数据集表示的临床区域 这些新方法。