Skip to main content

Table 3 Estimated variance components, heritability and correlations in Scenario 1 using the real PIC pig data

From: Performance of the No-U-Turn sampler in multi-trait variance component estimation using genomic data

Parameter

NUTS (LKJ prior)

NUTS (IW prior)

GS

REML

Mean

SE

Mean

SE

Mean

SE

Estimate

SE

Additive (co)variances

 \({\sigma }_{a}^{2}(T1)\)

0.03

0.02

0.07

0.02

0.05

0.02

0.04

0.02

 \({\sigma }_{a}^{2}(T2)\)

0.23

0.03

0.24

0.03

0.26

0.03

0.25

0.03

 \({\sigma }_{a}^{2}(T3)\)

0.24

0.04

0.25

0.04

0.27

0.04

0.26

0.04

 \({\sigma }_{a}(T1,T2)\)

0.02

0.01

0.02

0.05

0.02

0.02

0.02

0.02

 \({\sigma }_{a}(T1,T3)\)

0.02

0.02

0.03

0.07

0.03

0.02

0.03

0.02

 \({\sigma }_{a}(T2,T3)\)

0.03

0.02

0.03

0.02

0.03

0.02

0.03

0.02

Residual (co)variances

 \({\sigma }_{e}^{2}(T1)\)

0.97

0.03

0.94

0.03

0.96

0.03

0.96

0.03

 \({\sigma }_{e}^{2}(T2)\)

0.62

0.02

0.62

0.02

0.61

0.02

0.61

0.02

 \({\sigma }_{e}^{2}(T3)\)

0.75

0.03

0.75

0.03

0.73

0.03

0.73

0.03

 \({\sigma }_{e}(T1,T2)\)

0.01

0.02

0.02

0.02

0.01

0.02

0.01

0.02

 \({\sigma }_{e}(T1,T3)\)

0.00

0.04

0.00

0.04

0.00

0.03

0.00

0.02

 \({\sigma }_{e}(T2,T3)\)

0.02

0.02

0.01

0.05

0.01

0.02

0.01

0.02

Heritabilities

 \({h}^{2}(T1)\)

0.03

0.02

0.07

0.02

0.05

0.02

0.04

0.02

 \({h}^{2}(T2)\)

0.27

0.03

0.27

0.03

0.30

0.03

0.29

0.03

 \({h}^{2}(T3)\)

0.24

0.03

0.25

0.03

0.27

0.03

0.26

0.03

Additive genetic correlations

 \({r}_{a}(T1,T2)\)

0.24

0.17

0.12

0.12

0.19

0.14

0.25

0.25

 \({r}_{a}(T1,T3)\)

0.27

0.22

0.21

0.15

0.26

0.17

0.37

0.34

 \({r}_{a}(T2,T3)\)

0.13

0.09

0.14

0.03

0.12

0.09

0.14

0.10

Residual genetic correlations

 \({r}_{e}(T1,T2)\)

0.02

0.02

0.02

0.03

0.02

0.03

0.02

0.03

 \({r}_{e}(T1,T3)\)

0.00

0.04

0.00

0.04

0.00

0.05

0.00

0.03

 \({r}_{e}(T2,T3)\)

0.02

0.03

0.02

0.03

0.02

0.03

0.02

0.03

  1. NUTS No-U-Turn sampler, LKJ Lewandowski-Kurowicka-Joe, IW inverse-Wishart, GS Gibbs sampling, REML restricted maximum likelihood, SE standard error
  2. \({\sigma }_{a}^{2}\): additive genetic variance, \({\sigma }_{a}\): additive genetic covariance, \({\sigma }_{e}^{2}\): residual variance, \({\sigma }_{e}\): residual covariance, \({h}^{2}\): heritability, \({r}_{a}\): additive genetic correlation, \({r}_{e}\): residual correlation