Table 3.
Relative Efficiency of Different Kernels for Different Genetic Effects
Relative Efficiency for Kernela |
||||
Model, ψ,and P | Dominant | Recessive | LinearDosage | Quadratic |
Dominant: | ||||
ψ = 2: | ||||
.05 | 1 | .15 | .99 | .95 |
.25 | 1 | .27 | .91 | .79 |
ψ = 4: | ||||
.05 | 1 | .14 | .99 | .95 |
.25 | 1 | .25 | .9 | .76 |
Recessive: | ||||
ψ = 2: | ||||
.05 | .19 | 1 | .37 | .52 |
.25 | .35 | 1 | .7 | .85 |
ψ = 4: | ||||
.05 | .24 | 1 | .46 | .62 |
.25 | .41 | 1 | .77 | .89 |
Multiplicative: | ||||
ψ = 2: | ||||
.05 | .99 | .35 | 1 | .98 |
.25 | .91 | .69 | 1 | .96 |
ψ = 4: | ||||
.05 | 1 | .4 | 1 | .95 |
.25 | .89 | .76 | 1 | .96 |
Relative efficiency is the ratio of noncentrality parameters, where a noncentrality parameter for a specified kernel is δ/σ.