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Table 5 Accuracy estimates (bias estimates in brackets) for the four SNP sets (SIS10K, RAND10K, SIS1K, RAND1K) under 16 different prior specifications (pairs of ( p 0 , b )) and combined estimates across prior specifications (real data)

From: Impact of prior specifications in a shrinkage-inducing Bayesian model for quantitative trait mapping and genomic prediction

a - SIS10K

  
 

b

    

p 0

0.004

0.008

0.012

0.016

Combined

0.9999

0.56 (1.18)

0.62 (1.03)

0.61 (0.83)

0.57 (0.63)

0.62 (0.95)

0.975

0.56 (0.98)

0.62 (1.00)

0.61 (0.83)

0.57 (0.63)

0.62 (0.92)

0.95

0.57 (0.96)

0.62 (0.98)

0.61 (0.83)

0.56 (0.63)

0.62 (0.91)

0.90

0.57 (0.91)

0.62 (0.97)

0.61 (0.82)

0.56 (0.63)

0.62 (0.89)

Combined

0.58 (1.06)

0.62 (1.00)

0.61 (0.83)

0.56 (0.63)

0.62 (0.92)

b - RAND10K

   
 

b

 

p 0

0.004

0.008

0.012

0.016

Combined

0.9999

0.56 (1.18)

0.63 (1.05)

0.60 (0.81)

0.52 (0.51)

0.61 (0.92)

0.975

0.57 (0.97)

0.62 (1.01)

0.61 (0.81)

0.52 (0.51)

0.61 (0.88)

0.95

0.57 (0.93)

0.61 (0.98)

0.61 (0.81)

0.52 (0.51)

0.61 (0.87)

0.90

0.57 (0.90)

0.61 (0.95)

0.61 (0.80)

0.52 (0.51)

0.61 (0.85)

Combined

0.58 (1.04)

0.62 (1.01)

0.61 (0.81)

0.52 (0.51)

0.61 (0.88)

c - SIS1K

  
 

b

 

p 0

0.004

0.008

0.012

0.016

Combined

0.9999

0.48 (1.05)

0.51 (1.16)

0.54 (1.14)

0.56 (1.08)

0.54 (1.16)

0.975

0.48 (0.96)

0.51 (1.02)

0.53 (1.07)

0.56 (1.08)

0.53 (1.08)

0.95

0.48 (0.94)

0.51 (1.02)

0.54 (1.05)

0.55 (1.08)

0.53 (1.07)

0.90

0.49 (0.94)

0.51 (0.99)

0.54 (1.03)

0.55 (1.03)

0.53 (1.04)

Combined

0.49 (1.00)

0.52 (1.08)

0.54 (1.09)

0.56 (1.07)

0.54 (1.10)

d - RAND1K

  
 

b

 

p 0

0.004

0.008

0.012

0.016

Combined

0.9999

0.34 (1.03)

0.46 (1.51)

0.50 (1.37)

0.52 (1.20)

0.49 (1.42)

0.975

0.38 (0.85)

0.42 (1.00)

0.48 (1.17)

0.51 (1.13)

0.47 (1.13)

0.95

0.40 (0.86)

0.42 (0.95)

0.48 (1.11)

0.51 (1.12)

0.47 (1.09)

0.90

0.42 (0.87)

0.44 (0.94)

0.48 (1.06)

0.51 (1.08)

0.48 (1.05)

Combined

0.41 (0.98)

0.44 (1.12)

0.49 (1.21)

0.52 (1.15)

0.48 (1.18)