Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping.

Abstract excerpt

BACKGROUND: Using whole genome sequence data might improve genomic prediction accuracy, when compared with high-density SNP arrays, and could lead to identification of casual mutations affecting complex traits. For some traits, the most accurate genomic predictions are achieved with non-linear Bayesian methods. However, as the number of variants and the size of the reference population increase, the computational...

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