Seg-chromosome
|
6
|
3
|
5
|
---|
SNP − log
10
(p-value)
|
8.02
|
5.94
|
3.78
|
Lk_m1
|
−1227.938
|
−1227.938
|
−1227.938
|
Lk_m2
|
−1210.800
|
−1223.178
|
−1224.540
|
LRT
|
34.28
|
9.52
|
6.80
|
p-value
LRT
|
1.1 × 10−9
|
6.5 × 10−4
|
3.1 × 10−3
|
VarE_m1
|
3.70
|
3.70
|
3.70
|
VarA_m1
|
2.68
|
2.68
|
2.68
|
VarE_m2
|
3.73
|
3.67
|
3.69
|
VarA_m2
|
1.95
|
2.42
|
2.55
|
segmVA
|
0.70
|
0.63
|
0.15
|
%segmVA
|
0.11
|
0.09
|
0.02
|
- Seg-chromosome = Number of chromosome where segment is located, m1 = model(2a) without the segment: y = Xβ + a + e, m2 = model (8) with the segment y = X β + a1 + a2 + e, SNP − log
10
(p-value) = −Logarithm in base 10 of the SNP p-value selected to create a segment, Lk_m1 = −LogLikelihood for m1, Lk_m2 = −LogLikelihood for m2, LRT = Likelihood Ratio Test for m1 and m2, p-value
LRT
= p-value for LRT, VarE_m1 = Error variance of m1, VarA_m1 = Additive variance of m1, VarE_m2 = Error variance of m2, VarA_m2 = Additive variance of m2, segmVA = Additive variance segment of m2, %segmVa = Proportion in% of the total variance explained by the segment.