Summer Institute in Statistical Genetics

描述（由申请人提供）：华盛顿大学统计遗传学暑期研究所（SISG）正在寻求资金，特别是学生参与奖学金和讲师津贴。自1996年以来每年举办一次，目前已有2,800多名参与者。它提供了一系列遗传学领域的当前统计方法的介绍性讲习班：动物，进化，人类，植物，种群和定量，重点是人类疾病制图和表征。sig还为统计学家和其他定量科学家提供分子遗传学的入门讲习班。参与者来自学术界、工业界和政府。讲师来自华盛顿大学和其他20所院校。SISG由华盛顿大学生物统计学教授兼系主任Bruce Weir领导。2009年版的SISG将提供以下模块：1。概率与统计推断；2. 分子遗传学;3. 统计遗传学计算；4. 解读DNA证据；5. 回归与方差分析；6. 自然种群遗传数据分析；7. 遗传学MCMC；8. 分子系统发生学;9. 数量遗传学;10. 人类群体遗传数据分析；11. 关系和相关性的推论；12. 比较基因组学与分子进化；13. QTL定位;14. 混合模型;15. 人类关联映射；16. 合并理论;17. 高级QTL定位；18. 动植物关联制图；19. 遗传流行病学及临床试验；20.。功能基因组学和蛋白质组学数据。该奖项将支持60名学生参与者，并将向美国国家科学基金会提出类似的要求。

DESCRIPTION (provided by applicant): Funding is sought for the Summer Institute in Statistical Genetics (SISG) at the University of Washington, specifically for student participant scholarships and instructor stipends. The SISG has been held every year since 1996 and has now served over 2,800 participants. It provides introductory workshops in current statistical methodology over a range of areas of genetics: animal, evolutionary, human, plant, population, and quantitative with a substantial emphasis on human disease mapping and characterization. The SISG also provides introductory workshops in molecular genetics for statisticians and other quantitative scientists. Participants are drawn from academia, industry and government. Instructors are drawn from the University of Washington and 20 other institutions. The SISG is directed by Bruce Weir, Professor and Chair of the Department of Biostatistics at the University of Washington. The 2009 version of SISG will offer the following modules: 1. Probability and Statistical Inference; 2. Molecular Genetics; 3. computing for Statistical Genetics; 4. Interpreting DNA Evidence; 5. Regression and Analysis of Variance; 6. Natural Population Genetic Data Analysis; 7. MCMC for Genetics; 8. Molecular Phylogenetics; 9. Quantitative Genetics; 10. Human Population Genetic Data Analysis; 11. Inferences of Relationships and Relatedness; 12. Comparative Genomics and Molecular Evolution; 13. QTL Mapping; 14. Mixed Models; 15. Human Association Mapping; 16. Coalescent Theory; 17. Advanced QTL Mapping; 18. Plant and Animal Association Mapping; 19. Genetic Epidemiology and Clinical Trials; 20. Functional Genomics and Proteomic Data. This award will support 60 student participants and a similar request will be made to the National Science Foundation. PUBLIC HEALTH RELEVANCE: The study of human disease is becoming increasingly quantitative, especially when the genetic basis of disease is considered. The enormous amounts of genetic data now being generated in the hopes of locating and characterizing the genes that affect disease susceptibility and severity require increasingly sophisticated statistical analyses. The Summer Institute in Statistical Genetics provides statistical training to geneticists and other scientists to allow them to analyze data pertaining to human disease and other basic science questions.