Skip to main content

Table 4 Estimated variance components, heritability and correlations in Scenario 2 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

 \({\sigma }_{a}^{2}(T1)\)

0.02

0.01

0.13

0.04

0.01

0.01

0.02

0.01

 \({\sigma }_{a}^{2}(T2)\)

0.34

0.07

0.34

0.07

0.38

0.08

0.28

0.06

 \({\sigma }_{a}^{2}(T3)\)

0.28

0.08

0.30

0.08

0.35

0.09

0.31

0.09

 \({\sigma }_{a}(T1,T2)\)

0.01

0.02

0.01

0.09

0.04

0.03

0.04

0.03

 \({\sigma }_{a}(T1,T3)\)

0.01

0.02

0.04

0.04

0.02

0.04

0.06

0.04

 \({\sigma }_{a}(T2,T3)\)

0.05

0.05

0.05

0.05

0.06

0.06

0.06

0.06

Residual (co)variances

 \({\sigma }_{e}^{2}(T1)\)

1.04

0.06

0.96

0.07

1.05

0.07

1.04

0.06

 \({\sigma }_{e}^{2}(T2)\)

0.60

0.06

0.59

0.06

0.58

0.06

0.69

0.04

 \({\sigma }_{e}^{2}(T3)\)

0.67

0.07

0.65

0.07

0.64

0.07

0.65

0.07

 \({\sigma }_{e}(T1,T2)\)

0.04

0.04

0.04

0.05

0.02

0.04

0.02

0.05

 \({\sigma }_{e}(T1,T3)\)

0.00

0.04

− 0.02

0.08

0.00

0.05

− 0.07

0.04

 \({\sigma }_{e}(T2,T3)\)

− 0.06

0.05

-0.06

0.02

− 0.07

0.05

− 0.07

0.05

Heritabilities

        

 \({h}^{2}(T1)\)

0.02

0.02

0.12

0.04

0.01

0.01

0.01

0.01

 \({h}^{2}(T2)\)

0.36

0.06

0.37

0.06

0.39

0.07

0.28

0.05

 \({h}^{2}(T3)\)

0.29

0.07

0.32

0.08

0.35

0.08

0.32

0.08

Additive genetic correlations

 \({r}_{a}(T1,T2)\)

0.13

0.32

0.05

0.20

0.62

0.44

0.63

0.53

 \({r}_{a}(T1,T3)\)

0.12

0.36

0.19

0.23

0.32

0.48

0.88

0.53

 \({r}_{a}(T2,T3)\)

0.15

0.16

0.16

0.17

0.16

0.17

0.21

0.21

Residual genetic correlations

 \({r}_{e}(T1,T2)\)

0.05

0.05

0.05

0.06

0.02

0.06

0.02

0.05

 \({r}_{e}(T1,T3)\)

0.00

0.05

− 0.02

0.11

− 0.02

0.09

− 0.09

0.05

 \({r}_{e}(T2,T3)\)

− 0.09

0.06

− 0.10

0.04

− 0.11

0.08

− 0.12

0.08

  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