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. 2014 Jun 9;46(1):37. doi: 10.1186/1297-9686-46-37

Table 1.

Estimates of π from Bayes C π analysis in the Angus training (PT) population

Type of phenotype Model h 2 c n = 1000 n = 2250
Continuous
Linear
0.10
-
0.99982 ± 0.00002
0.99985 ± 0.00002
 
 
0.25
-
0.99972 ± 0.00003
0.99940 ± 0.00006
 
 
0.50
-
0.99903 ± 0.00007
0.99861 ± 0.00008
Categorical
Threshold
0.10
2
0.99700 ± 0.00159
0.99992 ± 0.00001
 
 
 
3
0.99636 ± 0.00257
0.99992 ± 0.00001
 
 
 
4
0.99881 ± 0.00053
0.99991 ± 0.00001
 
 
0.25
2
0.99955 ± 0.00010
0.99976 ± 0.00004
 
 
 
3
0.99939 ± 0.00019
0.99973 ± 0.00004
 
 
 
4
0.99949 ± 0.00015
0.99973 ± 0.00004
 
 
0.50
2
0.99562 ± 0.00112
0.99894 ± 0.00012
 
 
 
3
0.99583 ± 0.00116
0.99900 ± 0.00008
 
 
 
4
0.99319 ± 0.00258
0.99894 ± 0.00009
Categorical
Linear
0.10
2
0.99989 ± 0.00001
0.99995 ± 0.00001
 
 
 
3
0.99987 ± 0.00001
0.99995 ± 0.00001
 
 
 
4
0.99985 ± 0.00002
0.99994 ± 0.00001
 
 
0.25
2
0.99992 ± 0.00001
0.99993 ± 0.00001
 
 
 
3
0.99992 ± 0.00001
0.99992 ± 0.00001
 
 
 
4
0.99991 ± 0.00001
0.99990 ± 0.00001
 
 
0.50
2
0.99990 ± 0.00001
0.99981 ± 0.00002
 
 
 
3
0.99988 ± 0.00001
0.99976 ± 0.00002
      4 0.99984 ± 0.00001 0.99967 ± 0.00003

The true value of π was 0.999.