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Pacific Symposium on Biocomputing 2006, Grand Wailea Resort, Maui, Hawaii
January 3-7, 2006
A large international effort to define the fine patterns of sequence variation along the human genome is nearing conclusion. The aim is to generate a genome-wide validated SNP resource and survey of the patterns of allelic association and common haplotypes useful for designing association studies. The outcome of this “HapMap” project is the genotypes of over three million SNPs in DNA samples of individuals from Africa, China, Utah, and Japan. This project is providing an unprecedented amount of empirical data on the patterns of linkage disequilibrium across the human genome that is fueling a large number of population genetic analyses.
Methods for the selection of subsets of SNPs from the HapMap for association studies have proliferated, and their effectiveness in different disease architectures and populations still needs to be evaluated. However, the use of the HapMap data in other aspects of study design and for the analysis of association studies has received comparatively less attention. For example, methods which estimate power and sample size for genetic studies using the empirically observed patterns of LD are yet to be fully developed. Tools to better present the data from the HapMap with other relevant annotations in a seamless way in order to assist researchers designing candidate gene/regions studies are still needed. What additional information about selection, population history, recombination and related phenomena can be gleaned from the HapMap data and future studies?
The goal of this session of the PSB conference is the presentation and discussion of new research, methods, algorithms, and tools that facilitate the planning, executing, and analysis of studies of human genomic variation leveraging the reference survey of variation performed by the HapMap project as well as other genome-wide datasets becoming available on the public domain.
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Organized by:
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A. Clark; A. Collins; F. M. De La Vega; K.K. Kidd (co-chairs) |
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Invited Speakers:
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POSSIBLE SUBMISSION TOPICS FOR FULL PAPERS + Selection of SNPs for genetic studies
+ Power calculations and study design
+ Methods for analysis of association mapping studies
+ Methods for inference of natural selection
+ Tools for presentation and use of the HapMap & other data SPEAKERS WILL BE SELECTED FROM SUBMISSIONS AND ANNOUNCED AT A LATER DATE
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Deadline for Abstracts:
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July 18, 2005 (Full Papers Deadline); November 1, 2005 (Poster Abstracts)
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Registration:
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We encourage academic, government, and industrial scientists to submit manuscripts with original work in the subject area. PSB will publish accepted full papers in an archival proceedings indexed in Medline. All contributed papers will be rigorously peer-reviewed by at least three referees. A limited number of papers will be selected for oral presentation to the full assembled conference. Posters and computer demonstrations are also requested to complement the session, and require the submission of a one-page abstract. Accepted poster abstracts will be distributed at the conference separately from the archival Proceedings. In addition of the oral presentation of the full papers, and the poster session, an invited panel discussion devised to encourage exchange between industry and academic scientists will be also held. The Pacific Symposium on Biocomputing (PSB 2006) is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. The symposium is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling and other computational methods, as applied to the data-rich areas of molecular biology. Besides this session, other five sessions of diverse topics will be presented at the conference.
For more information on the other session and registration see the official PSB 2006 Web page: http://psb.stanford.edu
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E-mail:
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psb@helix.stanford.edu
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