Table 4 Power of detecting loci and estimates of parameters obtained with 1000 repetitions of simulation in Case II

From: Interval mapping for loci affecting unordered categorical traits

 

Power

Estimate of position

Estimates of α

Estimates of β

Estimates of γ

L1

683

54.91±12.10

α11=−0.480±0.429

β1=–0.757±0.392

γ1=0.005±0.429

 

(37)a

(59.59±24.29)

α21=–0.009±0.238

β2=–0.724±0.208

γ2=0.016±0.352

   

α31=–0.479±0.284

β3=0.002±0.288

γ3=0.011±0.414

L2

658

35.40±6.76

α11=0.061±0.219

β1=0.004±0.240

γ1=–1.113±0.345

 

(128)

(36.55±15.60)

α21=–0.010±0.248

β2=0.009±0.249

γ2=0.014±0.333

   

α31=0.055±0.224

β3=0.010±0.236

γ3=–1.113±0.360

  1. aPower and estimate of position are listed in parentheses for NPIM method.
  2. Theoretical expected values parameters are (α11, α21, α31, β1, β2, β3, γ1, γ2, γ3)=(−0.460, 0.0, −0.460, −0.646, −0.645, 0.0, 0.045, 0.0, 0.045) and (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, −0.974, 0.0, −0.974) for L1 and L2, respectively.
Back to article page