Statistical Methods for Genetic Epidemiology

描述（由申请人提供）：本更新提案的目的是 继续制定和实施新的统计方法， 包括癌症在内的复杂慢性疾病的遗传流行病学研究， 过敏和精神疾病。重点将放在发展新的 的统计方法 分析多变量生存数据，当家庭数据 收集，重点是适当对待死亡的方法， 与疾病发作时间竞争，而不是审查它们; 利用多点连锁法或 联想学习法; 大型复杂家系中疾病基因的数量性状定位。为 每一个具体目标，我们将 评估现有的统计方法，并指出其局限性， 这些因素对得出有效推论的影响; 开发和研究分析和经验，新的统计方法 适合解决这些问题; 将这些新的统计方法应用于各种复杂的实际数据集 疾病，这些疾病促使了这项拟议的研究; 开发和分发软件以实施这些新的统计技术。 这里提出的工作将有助于，因为我们在过去，统计 遗传流行病学领域的一般方法，并提供见解 进入由各种数据集代表的每个临床领域， 说明这些新方法。

DESCRIPTION (provided by applicant): The objective of this renewal proposal is to continue developing and implementing new statistical methodology useful for genetic epidemiological 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, with emphasis on methods that appropriately treat death as competing with disease onset times, as opposed to censoring them; Mapping disease genes for complex diseases using multipoint linkage method or the association study method; Mapping disease genes for quantitative traits in large, complex pedigrees. 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.