Abstract
Genetic mapping aims to find genomic regions affecting a given phenotype. This task is typically made by means of likelihood-ratio tests carried out on a large data set of genetic markers. As an alternative we present some Bayesian methods to map binary trait loci (BTL). All methods are based on (1) a mixture probability structure relating a single or two adjacent markers to the putative BTL and (2) Bayes factors to detect the set of markers most associated with the phenotype. As an example of application, we perform a genetic mapping analysis on experimental cerebral malaria susceptibility.
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Acknowledgments
The work of NS and CDP was financed by National Funds through FCT - Fundação para a Ciência e a Tecnologia - in the scope of project PEst-OE/MAT/UI0006/2011
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Correia, C., Sepúlveda, N., Paulino, C.D. (2013). Bayesian Genetic Mapping of Binary Trait Loci. In: Lita da Silva, J., Caeiro, F., Natário, I., Braumann, C. (eds) Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications. Studies in Theoretical and Applied Statistics(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34904-1_14
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DOI: https://doi.org/10.1007/978-3-642-34904-1_14
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