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Báo cáo y học: " low-cost open-source SNP genotyping platform for association mapping applications"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: A low-cost open-source SNP genotyping platform for association mapping applications. | Method Open Access A low-cost open-source SNP genotyping platform for association mapping applications Stuart J Macdonald Tomi Pastinen Anne Genissel Theodore W Cornforth and Anthony D Long Addresses Department of Ecology and Evolutionary Biology University of California Irvine CA 92697-2525 USA. ỶMcGill University and Genome Quebec Innovation Centre 740 Docteur Penfield Avenue Montreal Quebec H3A 1A4 Canada. Section of Evolution and Ecology University of California Davis Davis CA 95616 USA. Institute of Neuroscience 1254 University of Oregon Eugene Oregon 97403-1254 USA. Correspondence StuartJ Macdonald. E-mail sjm@uci.edu Published 2 December 2005 Genome Biology 2005 6 R105 doi l0.ll86 gb-2005-6-l2-rl05 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2005 6 l2 Rl05 Received 6 June 2005 Revised 20 July 2005 Accepted 2l October 2005 2005 Macdonald et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Association mapping aimed at identifying DNA polymorphisms that contribute to variation in complex traits entails genotyping a large number of single-nucleotide polymorphisms SNPs in a very large panel of individuals. Few technologies however provide inexpensive high-throughput genotyping. Here we present an efficient approach developed specifically for genotyping large fixed panels of diploid individuals. The cost-effective open-source nature of our methodology may make it particularly attractive to those working in nonmodel systems. Background Understanding the genetic architecture of complex polygenic traits is a fundamental goal of modern biological and medical research and the currently favored experimental paradigm is association mapping reviewed by .