Advanced Linkage Analysis Courses

描述（由申请人提供）：长期目标是提供培训 在连锁分析方法和技术，从而促进了解 通过连锁分析进行基因定位的统计学概念 协会研究。其他目标是让研究人员熟悉 统计的技术工具（计算机程序的应用） 遗传学预计这种培训将导致改善 分析基因数据，帮助研究人员发展必要的技能， 定位和分离复杂性状的基因， 疾病病因学 具体目标是每年开展一次为期一周的高级课程， 纽约洛克菲勒大学的连锁分析。该课程将 面向熟悉基本方面的高级研究人员 但谁需要成为更熟练的应用程序 复杂特征的统计分析。该课程在韦斯大厅举行， 洛克菲勒大学配备了21台连接到 互联网此外，培训班学员将使用5台UNIX计算机 位于统计遗传学实验室通过互联网。二十 参加者将获准入读课程。该课程包括两个 内容：关于基因图谱中重要和当前主题的讲座，以及 作为用计算机程序进行的实践练习。 所涉及的主题包括：定量和 同胞对分析（数量性状和质量性状）; 大家族系谱资料的非参数分析法;关联 研究（单倍型相对风险，传递不平衡检验， 病例对照）;使用模拟研究来评估功效和重要性 水平;遗传图谱的生成;马尔可夫链蒙特卡罗方法;以及 方差分量分析。

DESCRIPTION (provided by applicant): The long-term goal is to provide training in linkage analysis methods and techniques and thus advance the understanding of the statistical concepts underlying gene mapping through linkage analysis and association studies. Additional goals are to familiarize researchers with the technical tools (application of computer programs) for statistical genetics. It is expected that such training will lead to an improvement in the analysis of genetic data, helping researchers develop the necessary skills to localize and isolate genes for complex traits thus increasing knowledge of disease etiology. The specific aim is to carry out each year one full-week course in advanced linkage analysis at The Rockefeller University in New York. The course will be directed towards advanced researchers who are familiar with the basic aspects of linkage analysis but who need to become more proficient in the application of statistical analysis of complex traits. The course is held in Weiss Hall at The Rockefeller University which is equipped with 21 PCs which are connected to the Internet. In addition, the course participants will use 5 UNIX computers located in the Laboratory of Statistical Genetics via the Internet. Twenty participants will be admitted into the course. The course consists of two components: lectures on important and current topics in gene mapping, as well as hands on exercises to be carried out with computer programs. Topics to be covered include: parametric analysis of quantitative and qualitative traits; sib pair analysis (quantitative and qualitative traits); non-parametric methods of analyzing extended family pedigree data; association studies (haplotype relative risk, transmission disequilibrium test, case-control); use of simulation studies to evaluate power and significance levels; generation of genetic maps; Markov Chain Monte Carlo methods; and Variance Components Analysis.