Skip to main content

Table 8 Simulated genetic architecture of traits

From: Multiple trait multiple interval mapping of quantitative trait loci from inbred line crosses

    

Effects of each QTLd

∑ e f

Scenarioa

 

h2b

u c

Q1

Q2

Q3

Q4

Q5

T1

T2

T3

 

T1

0

30

0

0

0

0

0

1

0.2

0

S0

T2

0

35

0

0

0

0

0

0.2

1

-0.2

 

T3

0

30

0

0

0

0

0

0

-0.2

1

 

T1

25

30

0.52

0.52

0.52

0.52

0.52

1

0.2

0

 

T2

25

35

0.52

0.52

0.52

0.52

0.52

0.2

1

-0.2

SI

T3

25

30

0.52

0.52

0.52

0.52

0.52

0

-0.2

1

 

Chr.

–

–

1

2

3

5

6

–

–

–

 

Positione

–

–

23

15

45

67

53

–

–

–

 

T1

25

30

0.52

0.52

0.52

0.52

0.52

1

0.2

0

 

T2

18

35

0

0.54

0.54

0.54

0

0.2

1

-0.2

SII

T3

5

30

0

0

0.46

0

0

0

-0.2

1

 

Chr.

–

–

1

2

3

5

6

–

–

–

 

Position

–

–

23

15

45

67

53

–

–

–

 

T1

18

30

0.54

0

0.54

0

0.54

1

0.2

–

 

T2

18

35

0

0.54

0.54

0.54

0

0.2

1

–

SIII

Chr.

–

–

1

1

3

6

6

–

–

–

 

Position

–

–

23

33

45

38

53

–

–

–

  1. Simulated genetic architecture of traits T1, T2, and T3, as dictated by QTL Q1, Q2, Q3, Q4, and Q5.
  2. a Scenario S0 is for type I error evaluation. Scenarios SI, SII and SIII are for model fitting evaluations.
  3. b Heritability (%) due to all QTL affecting a trait.
  4. c General mean of each trait.
  5. d Main effect of QTL. The percentage of phenotypic variation of each trait due to each QTL is 5%.
  6. e Position, in cM, of the QTL from the leftmost marker in the chromosome (Chr).
  7. f Residual variance-covariance matrix.