|
Sub-set
|
Number of SNPs
|
GBLUP
|
BayesB
|
BayesC
|
BayesR
|
BayesS
|
|---|
|
\({h}^{2}\)
|
se
|
\({h}^{2}\)
|
se
|
\({h}^{2}\)
|
se
|
\({h}^{2}\)
|
se
|
\({h}^{2}\)
|
se
|
|---|
|
LD0.1
|
589
|
0.09
|
0.02
|
0.06
|
0.01
|
0.09
|
0.02
|
0.10
|
0.02
|
0.10
|
0.02
|
|
LD0.2
|
1544
|
0.16
|
0.03
|
0.17
|
0.02
|
0.18
|
0.02
|
0.17
|
0.02
|
0.18
|
0.02
|
|
LD0.3
|
3384
|
0.16
|
0.03
|
0.17
|
0.02
|
0.18
|
0.02
|
0.17
|
0.02
|
0.19
|
0.02
|
|
LD0.4
|
6229
|
0.19
|
0.03
|
0.22
|
0.02
|
0.21
|
0.03
|
0.20
|
0.03
|
0.23
|
0.02
|
|
LD0.5
|
10,004
|
0.19
|
0.03
|
0.22
|
0.03
|
0.21
|
0.03
|
0.19
|
0.03
|
0.23
|
0.02
|
|
LD0.6
|
14,563
|
0.19
|
0.03
|
0.22
|
0.03
|
0.21
|
0.03
|
0.19
|
0.03
|
0.23
|
0.03
|
|
LD0.7
|
19,873
|
0.19
|
0.03
|
0.25
|
0.03
|
0.23
|
0.03
|
0.19
|
0.03
|
0.23
|
0.03
|
|
LD0.8
|
25,693
|
0.18
|
0.03
|
0.24
|
0.03
|
0.25
|
0.02
|
0.19
|
0.03
|
0.23
|
0.03
|
|
LD0.9
|
32,077
|
0.17
|
0.03
|
0.23
|
0.03
|
0.26
|
0.03
|
0.17
|
0.02
|
0.23
|
0.03
|
|
Only LG
|
48,871
|
0.15
|
0.03
|
0.26
|
0.03
|
0.27
|
0.03
|
0.15
|
0.02
|
0.26
|
0.02
|
|
All SNPs
|
50,690
|
0.15
|
0.03
|
0.26
|
0.03
|
0.25
|
0.05
|
0.26
|
0.05
|
0.24
|
0.04
|
- The rows LD0.1 to LD0.9 represent the subsets obtained after pruning the SNPs based on LD values. For example: in subset “LD0.1” only one SNP in a pair or group of SNPs that had an LD value higher than 0.1 was kept
- se = standard error of the heritability (\({h}^{2})\)
