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Genetics, Vol 121, 185-199, Copyright © 1989
INVESTIGATIONS |
Mapping Mendelian Factors Underlying Quantitative Traits Using RFLP Linkage Maps
E. S. Lander and D. Botstein
Whitehead Institute for Biomedical Research, Cambridge, Massachusetts 02142, Harvard University, Cambridge, Massachusetts 02138, Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
The advent of complete genetic linkage maps consisting of codominant DNA markers [typically restriction fragment length polymorphisms (RFLPs)] has stimulated interest in the systematic genetic dissection of discrete Mendelian factors underlying quantitative traits in experimental organisms. We describe here a set of analytical methods that modify and extend the classical theory for mapping such quantitative trait loci (QTLs). These include: (i) a method of identifying promising crosses for QTL mapping by exploiting a classical formula of SEWALL WRIGHT; (ii) a method (interval mapping) for exploiting the full power of RFLP linkage maps by adapting the approach of LOD score analysis used in human genetics, to obtain accurate estimates of the genetic location and phenotypic effect of QTLs; and (iii) a method (selective genotyping) that allows a substantial reduction in the number of progeny that need to be scored with the DNA markers. In addition to the exposition of the methods, explicit graphs are provided that allow experimental geneticists to estimate, in any particular case, the number of progeny required to map QTLs underlying a quantitative trait.
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J. Rong, F. A. Feltus, V. N. Waghmare, G. J. Pierce, P. W. Chee, X. Draye, Y. Saranga, R. J. Wright, T. A. Wilkins, O. L. May, et al. Meta-analysis of Polyploid Cotton QTL Shows Unequal Contributions of Subgenomes to a Complex Network of Genes and Gene Clusters Implicated in Lint Fiber Development Genetics, August 1, 2007; 176(4): 2577 - 2588. [Abstract] [Full Text] [PDF] |
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A. Korol, Z. Frenkel, L. Cohen, E. Lipkin, and M. Soller Fractioned DNA Pooling: A New Cost-Effective Strategy for Fine Mapping of Quantitative Trait Loci Genetics, August 1, 2007; 176(4): 2611 - 2623. [Abstract] [Full Text] [PDF] |
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C. Zhu, J. Huang, and Y.-M. Zhang Mapping Binary Trait Loci in the F2:3 Design J. Hered., July 21, 2007; (2007) esm041v2. [Abstract] [Full Text] [PDF] |
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S. Wu, J. Yang, and R. Wu Semiparametric functional mapping of quantitative trait loci governing long-term HIV dynamics Bioinformatics, July 1, 2007; 23(13): i569 - i576. [Abstract] [Full Text] [PDF] |
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W. Zhao, H. Li, W. Hou, and R. Wu Wavelet-Based Parametric Functional Mapping of Developmental Trajectories With High-Dimensional Data Genetics, July 1, 2007; 176(3): 1879 - 1892. [Abstract] [Full Text] [PDF] |
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N. Yi, D. Shriner, S. Banerjee, T. Mehta, D. Pomp, and B. S. Yandell An Efficient Bayesian Model Selection Approach for Interacting Quantitative Trait Loci Models With Many Effects Genetics, July 1, 2007; 176(3): 1865 - 1877. [Abstract] [Full Text] [PDF] |
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M. Zak, A. Baierl, M. Bogdan, and A. Futschik Locating Multiple Interacting Quantitative Trait Loci Using Rank-Based Model Selection Genetics, July 1, 2007; 176(3): 1845 - 1854. [Abstract] [Full Text] [PDF] |
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W. Barendse, A. Reverter, R. J. Bunch, B. E. Harrison, W. Barris, and M. B. Thomas A Validated Whole-Genome Association Study of Efficient Food Conversion in Cattle Genetics, July 1, 2007; 176(3): 1893 - 1905. [Abstract] [Full Text] [PDF] |
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