TABLE 2.
Ability of NAM populations to distinguish functional and nonfunctional markers that are in complete disequilibrium in the reference population, but located on separate amplicons in segregating families (SFs)
| Simulated additive genetic effect, as a percentage of phenotypic variability in SFs | Genetic linkage between functional marker and sh1-3822a (cM) | False positive associations with sh1 locib | Frequency of correctly identified functional markersc | Difference between modelsd |
|---|---|---|---|---|
| 5% | 10 | 1.0 | 0.98 | 4.97 |
| 20 | 1.0 | 1.0 | 16.16 | |
| 30 | 1.0 | 1.0 | 22.28 | |
| 40 | 1.0 | 1.0 | 27.59 | |
| Independent | 0.01 | 1.0 | 33.53 | |
| 20% | 10 | 1.0 | 1.0 | 21.24 |
| 20 | 1.0 | 1.0 | 65.24 | |
| 30 | 1.0 | 1.0 | 86.35 | |
| 40 | 1.0 | 1.0 | 103.06 | |
| Independent | 0.01 | 1.0 | 132.37 | |
| 30% | 10 | 1.0 | 1.0 | 33.27 |
| 20 | 1.0 | 1.0 | 97.00 | |
| 30 | 1.0 | 1.0 | 127.90 | |
| 40 | 1.0 | 1.0 | 149.26 | |
| Independent | 0.0 | 1.0 | 193.27 |
a
Among the parental lines, the simulated FM exhibits complete disequilibrium with sh1-3822.
b
Frequency of false positive sh1 loci that exhibit a significant association with the phenotype.
c
Frequency of correctly identified FMs when the FM is included in the model.
d
The average difference of the −log10(p) between models that included the correct FM and models that included only false positive sh1-3822 markers.