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Table 4 Pr estimates (proportion of SNP in each distribution) with different prior values α for the HD_Mix_45 simulated data

From: A computationally efficient algorithm for genomic prediction using a Bayesian model

α

Pr_emBayesR

0

\( \mathbf{0.0006}\kern0.5em *\kern0.5em {\boldsymbol{\upsigma}}_{\mathbf{g}}^{\mathbf{2}} \)

\( \mathbf{0.006}\kern0.5em *\kern0.5em {\boldsymbol{\upsigma}}_{\mathbf{g}}^{\mathbf{2}} \)

\( \mathbf{0.06}\kern0.5em *\kern0.5em {\boldsymbol{\upsigma}}_{\mathbf{g}}^{\mathbf{2}} \)

(1, 1, 1, 1)

0.9861

0.0127

0.0004

0.0008

(1, 1, 1, 100)

0.9801

0.0130

0.0042

0.0027

(1, 1, 100, 1)

0.9863

0.0101

0.0028

0.0008

(100,1, 1, 1)

0.9883

0.0105

0.0003

0.0009

  1. The prior α was (1, 1, 1, 1), (1, 1, 1, 100), (1, 100, 1, 1) or (100, 1, 1, 1).