Summer Institute in Statistical Genetics

描述（由申请人提供）：资金寻求在统计遗传学（SISG）在华盛顿大学的夏季研究所，特别是学生参与奖学金和教师津贴。SISG自1996年以来每年举办一次，目前已为2，800多名参与者提供服务。它提供了一系列遗传学领域的当前统计方法的介绍性研讨会：动物，进化，人类，植物，人口和定量，重点是人类疾病的绘图和表征。SISG还为统计学家和其他定量科学家提供分子遗传学的介绍性研讨会。与会者来自学术界、工业界和政府。教师来自华盛顿大学和其他20个机构。SISG由华盛顿大学生物统计学系教授兼系主任布鲁斯威尔指导。2009年版的SISG将提供以下模块：1.概率和统计推断; 2。分子遗传学;统计遗传学计算; 4. DNA证据; 5。回归分析和方差分析; 6。自然群体遗传数据分析; 7.遗传学MCMC; 8. 9.第九章10.第二次世界大战人类基因组数据分析; 11.关系和相关性的推理; 12。比较基因组学与分子进化; 13. QTL作图; 14. 15.第一次约会16.第一次约会17.第十七章18.第一次的约会植物和动物协会地图; 19。遗传流行病学和临床试验; 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，并将向国家科学基金会提出类似的要求。 公共卫生相关性：对人类疾病的研究正变得越来越量化，特别是当考虑疾病的遗传基础时。为了确定影响疾病易感性和严重性的基因的位置和特征，目前正在产生大量的基因数据，这需要越来越复杂的统计分析。统计遗传学暑期研究所为遗传学家和其他科学家提供统计培训，使他们能够分析与人类疾病和其他基础科学问题有关的数据。

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.