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Weir (Professor and Chair of Biostatistics, University of Washington, Director, Summer Institute in Statistical Genetics),{孨矉 z鶺郪h埦?R恎Gene Expression Profiling Gregory C. Gibson (Professor, School of Biology Georgia Institute of Technology)John Storey (Associate Professor, Lewis-Sigler Institute Department of Molecular Biology, Princeton University),{ N矉 zpe蠎W Of[Quantitative Genetics J. Bruce Walsh (Professor of Ecology and Evolutionary, Biology, University of Arizona)Dahlia M. Nielsen (Research Assistant Professor of Genetics North Carolina State University),{孨钀R8g25 NHS髞8g27錯,{踁矉 z篘{|SO鶺郪歔MOsQT€邁筫誰Human Association Mapping Alison Motsinger-Reif (Assistant Professor of Statistics, North Carolina State University)Dahlia M. Nielsen (Research Assistant Professor of Genetics, North Carolina State University),{擭矉 z≧iirSO鶺郪歔MOsQT€邁筫誰Plant and Animal Association Mapping Bruce S. 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The course will cover the basics of quantitative genetics including: Fisher s variance decomposition, covariance between relatives, heritability, inbreeding and crossbreeding, and response to selection. Also an introduction to advanced topics such as: Mixed Models, BLUP, QTL mapping; correlated characters; and the multivariate response to selection. Background reading: Lynch, M., Walsh, B. (1998). Genetics and analysis of quantitative traits, Sinauer.,{踁矉 z篘{|SO鶺郪歔MO剉sQT€邁筫誰;N矉篘Alison Motsinger-Reif (Assistant Professor of Statistics, North Carolina State University)Dahlia M. Nielsen (Research Assistant Professor of Genetics North Carolina State University),g z\薔蛜垟鵞篘{|SO鶺郪歔MO剉sQT€邁筫誰0▼簨槝顅S靊)R(u迯Ns^a堐廘堹W郪歔MO剉t簨; 鶺郪歔MO瀃寶緥鶺嶯SO孴禰鹼剉鶺郪sQT€歔MO邁筫誰粂ce孴迯韣R^'`秗邁R恎筫誰YtSO觺刧剉邁筫誰; YKm諎顣槝YBg剉W O!j媁剉R恎筫誰0Module 4: Human Association MappingInstructors: A. Motsinger-Reif, and D. NielsenThis module is an introduction to association mapping, focusing on human populations. Topics include: theory of linkage disequilibrium and mapping; basics of gene mapping study design; population and family-based association techniques for discrete and continuous traits; methods for detecting and accounting for population structure; and multiple testing issues. New data-mining methods for detecting complex genetics models are also discussed. ,{擭矉 z≧iirSO鶺郪歔MO剉sQT€邁筫誰;N矉篘Bruce S. Weir (Professor and Chair of Biostatistics, University of Washington, Director, Summer Institute in Statistical Genetics)Michel Georges (Professor of Molecular Genetics, Universit de Lige),g z\薔蛜垟鵞≧iirSO鶺郪歔MO剉sQT€邁筫誰0▼簨槝顅S靊迯Ns^a堹W郪歔MO剉t簨 鵞粂ce孴迯韣'`秗蹚L垽SO孴禰鹼剉sQT€R恎筫誰 纇KmSO觺刧 YPSOiirR恎顣槝 YKm諎顣槝 錘蔛鶺郪媁剉Km歔筫誰0坈O(uw瀃pencv^孴邁o忲N瀃E柾d\O鴙觺T0Module 5: Plant and Animal Association MappingInstructors: B. Weir and M. GeorgesThis module is an introduction to association mapping, focusing on plant and animal populations. Topics include theory of linkage disequilibrium and mapping, population and family-based association techniques for discrete and continuous traits, methods for detecting and accounting for population structure, issues in polyploid organisms, multiple testing issues, and genotyping strategies. Use real data and hands-on experience with publicly available software packages for instruction.,{mQ矉 zpe蠎'`秗鶺郪歔MO剉邁筫誰;N矉篘Rebecca W. Doerge (Professor of Statistics, Purdue University)Zhao-Bang Zeng (Reynolds Distinguished Professor of Statistics and Genetics, North Carolina State University),g z\鹼邁0W薔蛜悗NBgSO剉pe蠎'`秗鶺郪歔MOQTL 剉邁筫誰0▼簨槝顅S靊瀃寶緥; 迯會V1寗g鷁; USh皨R恎; :S魰\O誰; YT:S魰\O誰Y:S魰\O誰0 T鰁_N▼簨鵞hQ鶺郪膥kb蟘!j媁邁蠎朁P剉nx歔0,g z\)R(ulQqQ啒遅剉o忲NWindows QTL Cartographer\Oo矉:y兪S脋`N0Module 6: QTL MappingInstructors: R. Doerge and Z-B. ZengThis module will systematically introduce statistical methods for mapping quantitative trait loci (QTL) in experimental cross populations. Topics include experimental designs, linkage map construction, single-marker analyses, interval mapping, composite interval mapping, and multiple interval mapping. Significance thresholds for genome scan and model selection will also be discussed. Uses public domain software Windows QTL-Cartographer for computer lab exercises.,{N矉 z(uR韹婛[W Openc蹚LR恎;N矉篘Thomas Lumley (Professor of Biostatistics, University of Washington)Kenneth M. Rice (Associate Professor of Biostatistics, University of Washington),g z\薔蛜(uR韹奬OW OD崣eR恎剉筫誰0▼簨槝顅S靊bT鵞a z廭緥SQLpenc揯剉O(uN汵Bioconductorpenc鶺@x緥絜蜰R韹娞?uC鉔x0,g z?uN鵞R韹bvQ諲韹 zwQ g硩Y蟸寶剉f[u0桘婸g檈Gentleman. R. (2008). R Programming in Bioinformatics. Taylor and Francis.Module 7: Genetic Data Analysis with RInstructors: T. Lumley and K. RiceThis module covers object-oriented programming, SQL database use, some of the Bioconductor data infrastructure, and calling C code from R. The module is aimed at people who have either substantial R experience or programming experience in other languages. Back-ground reading: Gentleman. R. (2008). R Programming in Bioinformatics. 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