A low-cost open-source SNP genotyping platform for association mapping applications
1 Department of Ecology and Evolutionary Biology, University of California Irvine, CA 92697-2525, USA
2 McGill University and Genome Québec Innovation Centre, 740 Docteur Penfield Avenue, Montreal, Québec H3A 1A4, Canada
3 Section of Evolution and Ecology, University of California Davis, Davis, CA 95616, USA
4 Institute of Neuroscience, 1254 University of Oregon, Eugene, Oregon 97403-1254, USA
Genome Biology 2005, 6:R105 doi:10.1186/gb-2005-6-12-r105Published: 2 December 2005
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.