tailieunhanh - Báo cáo y học: "Can we find the genes involved in complex traits"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học quốc tế cung cấp cho các bạn kiến thức về ngành y đề tài: Can we find the genes involved in complex traits? | Meeting report Can we find the genes involved in complex traits Mathew Pletcher and Tim Wiltshire Address Genomics Institute of the Novartis Research Foundation 10675 John Jay Hopkins Drive San Diego CA 92121 USA. Correspondence Tim Wiltshire. Email timw@ Published 22 September 2004 Genome Biology 2004 5 347 The electronic version of this article is the complete one and can be found online at http 2004 5 10 347 2004 BioMed Central Ltd A report on the third Complex Trait Consortium meeting Bar Harbor USA 6-9 July 2004. The Complex Trait Consortium CTC http came together for the first time two years ago in Memphis Tennessee to formalize a loose association of scientists focused on using methods for mapping quantitative trait loci QTLs to unlock the genetics of complex phenotypes. The study of QTLs attempts to pinpoint the associations between the natural phenotypic and genotypic variation found in existing populations for the purpose of uncovering the mechanism of complex diseases. Since its first meeting the CTC has grown and it met in July at The Jackson Laboratory for its third annual meeting to evaluate the tools and resources that are available to advance the study of QTLs and to review the progress towards identification of quantitative trait genes QTGs . The largest impact on mouse genetics and not just QTL studies in the short history of the CTC has come from the public accessibility of a nearly complete mouse-genome assembly. The importance of that achievement carried through the entire meeting from Rick Woychik s The Jackson Laboratory Bar Harbor USA introductory remarks to spirited concluding discussions about the appropriateness of current strategies to generate genome assemblies of additional strains of mice. The presence of a mouse genome assembly provides the context with which to analyze the growing resource of single-nucleotide polymorphisms SNPs for the purposes of studying and defining the genomic .

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