Statistical Methods for Genetic Epidemiology

描述(由申请人提供)：本续期建议书的目的是 继续开发和实施新的统计方法，对 包括癌症在内的复杂慢性疾病的遗传流行病学研究， 过敏和精神障碍。重点将放在开发新的 数理统计方法 分析多变量生存数据，当家庭数据时经常出现这种情况 都是收集的，重点是适当地将死亡视为 与疾病发作时间竞争，而不是审查它们； 用多点连锁方法定位复杂疾病的致病基因 联想研究法； 绘制大型复杂家系数量性状的疾病基因图谱。为 每一项具体目标，我们都将 评估现有的统计方法，并指出其局限性和 这些因素对得出有效推论的影响； 开发和研究分析和实证相结合的新统计方法 适当地解决这些问题； 将这些新的统计方法应用于各种复杂的实际数据集 疾病，推动了这项拟议的研究； 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统计，就像我们过去所做的那样 一般遗传流行病学领域的方法学，并提供洞察力 进入由各种数据集表示的每个临床领域 举例说明这些新方法。

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.