Nature Methods
- 4, 839 - 841 (2007)
Published online: 16 September 2007; | doi:10.1038/nmeth1084
Speed-mapping quantitative trait loci using microarraysChao-Qiang Lai1, Jeff Leips2, 5, Wei Zou3, 5, Jessica F Roberts1, Kurt R Wollenberg4, 5, Laurence D Parnell1, Zhao-Bang Zeng3, Jose M Ordovas1 & Trudy F C Mackay21
Jean Mayer–US Department of Agriculture Human Nutrition Research Center on Aging, Nutrition and Genomics, Tufts University, 711 Washington Street, Boston, Massachusetts 02111, USA. 2
Department of Genetics and W.M. Keck Center for Behavioral Biology, Campus Box 7614, North Carolina State University, Raleigh, North Carolina 27695, USA. 3
Bioinformatics Research Center, North Carolina State University, 840 Main Campus Drive, Raleigh, North Carolina 27695, USA. 4
Tufts-New England Medical Center, Tufts University, 750 Washington Street, Boston, Massachusetts 02111, USA. 5
Present addresses: Department of Biological Sciences, 1000 Hilltop Circle, University of Maryland Baltimore County, Baltimore, Maryland 21250, USA (J.L.), PGxHealth, LLC, 5 Science Park, New Haven, Connecticut 06511, USA (W.Z.) and Bioinformatics and Scientific IT Program, Office of Technology Information Systems, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892, USA (K.R.W.).
Correspondence should be addressed to Chao-Qiang Lai chaoqiang.lai@ars.usda.gov We developed a rapid, economical method for high-resolution quantitative trait locus (QTL) mapping using microarrays for selective genotyping of pooled DNA samples. We generated 21,207 F2 flies from two inbred Drosophila melanogaster strains with known QTLs affecting lifespan, and hybridized DNA pools of young and old flies to microarrays. We used changes of gene frequency of 2,326 single-feature polymorphisms (SFPs) to map previously identified and additional QTLs affecting lifespan.
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