STATISTICAL METHODS FOR GENETIC EPIDEMIOLOGY

说明：本更新提案的目标是继续 制定和实施新的遗传学统计方法 复杂慢性疾病的流行病学研究，包括癌症、过敏 和精神疾病 重点将放在发展新的 用于分析多变量生存数据的统计方法， 通常在收集家庭数据以解决诸如 检测家族聚集性并鉴定不同的遗传亚型; 利用多点连锁法定位复杂疾病的致病基因 或关联研究方法;将遗传异质性纳入 遗传连锁数据的分析。 对于每一个具体目标，我们 我将评估现有的统计方法，并指出其局限性 以及这些对得出有效推论的影响;发展和研究两者 从分析和经验上，新的统计方法， 解决这些问题;将这些新的统计方法应用于实际数据 一系列复杂的疾病， 研究、开发和分发软件，以实施这些新的统计 技术. 正如我们过去所做的那样，这里提出的工作将有助于， 遗传流行病学领域的统计方法， 提供了对由各种不同的临床领域所代表的每一个临床领域的洞察力， 用于说明这些新方法的数据集。

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.