Titlebook: A Guide to QTL Mapping with R/qtl; Karl W. Broman,Saunak Sen Book 2009 Springer-Verlag New York 2009 best fit.complex traits.epistasis.gen

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https://doi.org/10.1007/978-3-0348-9018-2epend on the genotype at others (epistasis). In this chapter, we undertake the first step in the direction of teasing apart the multiple linked or interacting QTL underlying a quantitative trait, by contemplating two-dimensional, two-QTL genome scans.

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Connectedness and Algebraic Invariants, hypertension), milk output (in dairy breeding), and number of seeds produced per plant (to study evolutionary fitness). Many phenotypes such as coat color of mice, or cancer tumor aggressiveness, may not be strictly quantitative, but may be studied by a derived quantitative measure. We may classify

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Marcelo Aguilar,Samuel Gitler,Carlos Prietose grid across the genome, one at a time, as the location of the putative QTL. A central issue concerns the treatment of missing genotype information: at a position between genetic markers, genotype data are not available and must be inferred on the basis of the available marker genotype data. Sever

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Fixed Points and the Lefschetz Number,e as to assume that the marginal phenotype distribution is normal—it will follow a mixture of normal distributions. But in the case that no QTL has very large effect, the marginal phenotype distribution would generally be close to normal: unimodal and reasonably symmetric.

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h-Regular Complexes and Quotients, experimental design. They may also desire, and it may be in the researcher’s self-interest, that experiments be economical. Much of good experimental design is a mixture of common sense, pragmatism, and careful forethought, which are difficult to codify. Nonetheless, some general principles for exp

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