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Lessons from breast cancer studies have taught us that significant strides in diagnosis (and thus treatment) can be made by applying multiple genetic parameters to define disease with greater clinical resolution (reviewed in [50]).
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Multiple trait genetic parameters were estimated by Gibbs sampling using the program "gibbs1f90" [ 32].
Genetic parameters were computed in multiple traits with a "sire-dam" model and using a Gibbs sampling approach.
Theoretical work suggests that data from multiple nuclear loci provide better estimates of population genetic parameters than do single loci, but just how many loci are needed and how much sequence is required from each has been little explored.
Even with the reduction of parameters afforded by the assumption of independence, the number of parameters in an MLM is still large if multiple genetic and environmental factors are involved.
Coalescent modelling, for instance, has provided significant advances in hypothesis testing by estimating genetic parameters following predefined demographic histories (in this case, multiple working hypotheses) [ 5].
Consequently, the recombining histories of multiple nuclear loci are being used increasingly in empirical estimates of population genetic parameters [7] [9].
In order to take further advantage of the island configuration, different genetic parameters are used in each one, allowing the consideration of multiple evolution environments concurrently.
Genetic parameters of production traits were estimated for three breeds (Holstein, Normande and Montbéliarde) using multiple-trait and reaction norm models.
It could deal easily with multiple genetic conditions where finding unaffected embryos is a challenge.
Subsequently, genetic parameters were estimated.
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