Estimated Preferential Pairing Factor With Two Simulated Markers in Repulsion When the True Preferential Pairing Factor is 0.40 or 0.60
pc = 0.4 | p = 0.666 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| d(M)a | nb | p_estd | Stde | No. overf | No. underg | p_est | Std | No. over | No. under | ||||||
| 0.45 | 50 | 0.374 | 0.008 | 252 | 210 | 0.503 | 0.007 | 463 | 82 | ||||||
| 100 | 0.382 | 0.008 | 212 | 102 | 0.540 | 0.006 | 468 | 16 | |||||||
| 250 | 0.399 | 0.006 | 113 | 31 | 0.582 | 0.004 | 518 | 0 | |||||||
| 500 | 0.400 | 0.005 | 51 | 8 | 0.605 | 0.003 | 520 | 0 | |||||||
| 1000 | 0.405 | 0.003 | 8 | 0 | 0.625 | 0.002 | 531 | 0 | |||||||
| 5000 | 0.402 | 0.002 | 0 | 0 | 0.648 | 0.0009 | 530 | 0 | |||||||
| 10000 | 0.400 | 0.001 | 0 | 0 | 0.652 | 0.0007 | 499 | 0 | |||||||
| 0.25 | 50 | 0.396 | 0.006 | 126 | 47 | 0.587 | 0.004 | 527 | 1 | ||||||
| 100 | 0.399 | 0.005 | 71 | 6 | 0.611 | 0.003 | 566 | 0 | |||||||
| 250 | 0.403 | 0.003 | 8 | 0 | 0.628 | 0.002 | 492 | 0 | |||||||
| 500 | 0.400 | 0.002 | 0 | 0 | 0.637 | 0.001 | 496 | 0 | |||||||
| 1000 | 0.402 | 0.002 | 0 | 0 | 0.647 | 0.0009 | 533 | 0 | |||||||
| 0.05 | 50 | 0.402 | 0.004 | 7 | 0 | 0.640 | 0.001 | 548 | 0 | ||||||
| 100 | 0.400 | 0.003 | 0 | 0 | 0.648 | 0.001 | 438 | 0 | |||||||
| 250 | 0.398 | 0.002 | 0 | 0 | 0.653 | 0.0006 | 523 | 0 | |||||||
| 500 | 0.397 | 0.001 | 0 | 0 | 0.657 | 0.0004 | 446 | 0 | |||||||
| 1000 | 0.400 | 0.0008 | 0 | 0 | 0.660 | 0.0003 | 469 | 0 | |||||||
a The genetic distance between the two markers with unit Morgan (M).
b The sample size.
c The true value of the preferential pairing factor used in simulation.
d The average of 1000 estimated preferential pairing factors from 1000 simulated data sets.
e The standard error of the 1000 estimated preferential pairing factors.
f The number of estimated preferential pairing factors larger than two-thirds.
g The number of negative estimated preferential pairing factors.