The Structure of QTL Mapping

Part of the Statistics for Biology and Health book series (SBH)

In the previous chapter, statistical approaches were described for evaluating associations between markers and phenotypes. Such an association analysis can provide evidence for the genetic control of trait variation but is not very precise because the genetic effects associated with marker genotypes are confounded by the position of a functional QTL and its actual effect. Of course, if markers are so highly dense that they are generated at QTL positions, a simple marker-phenotype association analysis may be useful. The generation of such high-density maps is not possible for a majority of species in practice. Powerful analytical techniques are needed to separate the effects of a QTL from its location.


Mixture Model Posterior Distribution Markov Chain Monte Carlo Marker Genotype Likelihood Equation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer Science + Business Media, LLC 2007

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