The International Conference of Quantitative Genetics
| The 4th International Conference of Quantitative Genetics | Preliminary Announcement and note for your diaries: Fourth International Conference on Quantitative Genetics: Understanding variation in complex traits Edinburgh 17-22 June 2012 Variation in quantitative and other complex phenotypes underpins most important traits in human health and disease, agriculture, natural populations and evolution. The genomics revolution has provided the tools to start the dissection of such traits, enhancing both their understanding and exploitation. This has led to an explosion of interest and new studies across all of biology. The aim will be to present and discuss state-of-the-art results, theoretical developments, understanding and methodology across the whole range of quantitative genetics - the genetic analysis and interpretation of data on complex traits - and to provide a stimulating conference in an attractive locale. Topics will include statistical methods for parameter estimation, including analysis of trait, genomic and functional genomic data; methods for QTL and gene identification; genetic control of complex traits; prediction of breeding value and individual risk, and interpretation of evolutionary change. The meeting will pertain to and span results from, for example, humans, livestock, crops, micro-organisms and natural and experimental populations of all species. The conference will be held at the Edinburgh International Conference Centre, and sponsored by the UK 's Genetics Society ( http://www.genetics.org.uk/ ). It follows previous successful meetings at Iowa State University in Ames, North Carolina State University in Raleigh, and Zhejiang University in Hangzhou, China ( http://www.icqg.org / ). Information on the web will be updated in due course. Meanwhile, for further information please contact a member of the pro-tem local organising committee: Bill Hill ( w.g.hill@ed.ac.uk ) (Chair), Lutz B¨¹nger, DJ de Koning, Chris Haley, Loeske Kruuk and Alan Wright. |
The 3rd International Conference on Quantitative Genetics (ICQG3) was held during August 19-24, 2007 hosted by Zhejiang University in Hangzhou, China. The 3rd Conference was a comprehensive survey of the current status of quantitative genetics. New technologies in areas ranging from genomics and molecular genetics to statistics are providing both opportunities and challenges for our understanding of the genetic basis of quantitative traits in natural populations, the evolution of characters, and use for plant and animal breeding. Zhejiang University is one of the few top-rank research institutions in China. It is a comprehensive insititute with a full range of disciplines. With a faculty capable of top-level and large-scale research and a high proportion of graduate students, the university has been undertaking projects, both basic and applied, to address pressing issues and challenges of today and of the future. Academic Chairs: Junyi Gai, William G. Hil, Bruce S. Weir, Changxin Wu Download: Photos, slides, and program |
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The 2nd International Conference of Quantitative Genetics
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The 2nd International Conference of Quantitative Genetics was held during May 30 - June 5, 1987, host by North Carolina State University in Raleigh, North Carolina. The Department of Statistics at North Carolina State University is among the nation's oldest and most prestigious, having been founded by renowned statistician Gertrude Cox in 1941. It receives support from both the College of Physical and Mathematical Sciences and the College of Agriculture and Life Sciences. The Bioinformatics Research Center (BRC) at North Carolina State University is one of the world's premier centers for education and research in bioinformatics, the field that integrates information science and statistics with the study of genomics. Honorary President: C. Clark Cockerham Download: Program of ICQG2 |
The 1st International Conference of Quantitative Genetics |
The 1st International Conference of Quantitative Genetics was held in Ames, Iowa in 1976. |
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