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A low-cost open-source SNP genotyping platform for association mapping applications

Stuart J Macdonald1 email, Tomi Pastinen2 email, Anne Genissel1,3 email, Theodore W Cornforth1,4 email and Anthony D Long1 email

1Department of Ecology and Evolutionary Biology, University of California Irvine, CA 92697-2525, USA

2McGill University and Genome Québec Innovation Centre, 740 Docteur Penfield Avenue, Montreal, Québec H3A 1A4, Canada

3Section of Evolution and Ecology, University of California Davis, Davis, CA 95616, USA

4Institute of Neuroscience, 1254 University of Oregon, Eugene, Oregon 97403-1254, USA

author email corresponding author email

Genome Biology 2005, 6:R105doi:10.1186/gb-2005-6-12-r105

Published: 2 December 2005

Subject areas: Genome studies, Genetics

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.


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