CALL FOR PAPERS: Computational tools for complex-trait gene mapping

Pacific Symposium on Biocomputing psb at stanford.edu
Wed Apr 23 03:33:11 EST 2003

Computational tools for complex-trait gene mapping
A session of the Pacific Symposium on Biocomputing 2004
January 6-10, 2004
The Big Island of Hawaii, USA

A large project to define the fine structure of haplotype blocks
of a number of populations has been funded recently with the aim
of generating a genome-wide SNP map useful for association
studies. The outcome of this “HapMap” project would provide
large amounts of empirical data on the patterns of linkage
disequilibrium across the human genome in a set of reference
samples. Although the funding that the project has received will
ensure the data will be generated, its use in designing and
analyzing data from association studies has received
comparatively less attention. While the best case scenario for
association studies assumes the prevalence of the common-
disease/common variant hypothesis, mounting evidence suggests
that at least a number of complex-traits are influenced by low
frequency variants, with possibly more than a few variants per
loci, and located in many interacting genes. This complex
genetics poses a major challenge to currently available
analytical tools. The session of the Pacific Symposium on
Biocomputing 2004 “Computational tools for complex-trait gene
mapping “ will be focused in novel computational and statistical
approaches required for planning, executing, and analyzing the
data of large association studies aimed to elucidate the basis
of complex-traits, either common disease, response to
environmental impact, or adverse drug response. The goal of the
session is the presentation and discussion of new research,
methods, algorithms, and tools, that promises to facilitate the
elucidation of the connections between genotypes and complex-
traits using the data generated by high-throughput SNP
genotyping technologies.

We encourage academic, industrial and government 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.

*Construction of linkage disequilibrium and haplotype maps
*Computational strategies for exploiting haplotype data for
gene mapping
*Tools for the analysis of whole genome scans for
*Computational and statistical approaches to deal with
allelic heterogeneity
*Analysis of gene epistasis and multigene traits
*Tools for planning genetic studies using empirical
reference data
*Algorithms and metrics to select minimum subsets of SNP
*Benchmarks for comparison of tools and algorithms

Deadline for full paper submission:       July 14, 2003
Full paper author notification:           August 18, 2003
Deadline for poster abstracts:     	  November 1, 2003

The Pacific Symposium on Biocomputing (PSB 2004) 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. PSB 2004 will be held January 6-10, 2004,
on The Fairmont Orchid, Big Island of Hawaii.
For more information see the official PSB 2004 Web page:

Andrew Collins
University of Southampton, School of Medicine
Southampton, UK
E-mail: arc @ soton.ac.uk

Francisco M. De La Vega
Applied Biosystems
Foster City, CA, USA
E-mail:delavefm at appliedbiosystems.com (Main Contact)

Kenneth K. Kidd
Yale University School of Medicine
New Haven, CT, USA
Kenneth.Kidd at yale.edu

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