Table 3.
Statistical analysis of two putative QTLs for 15°C swim SIA
| QTL | Sex | BXD experiment3-a | F2 hybrid experiment3-b | Combined data3-c | ||||
|---|---|---|---|---|---|---|---|---|
| r | p | LOD | p | LOD | p | LOD | ||
| 8 | F | 0.732 | 4.8 × 10−5 | 3.6 | 1.6 × 10−4 | 3.1 | 1.2 × 10−7 | 6.13-150 |
| M | 0.452 | 0.026 | 1.1 | 0.274 | 0.3 | 0.038 | 0.9 | |
| 6 | F + M | 0.559 | 0.0084 | 1.5 | 0.019 | 2.0 | 0.002 | 2.1 |
F3-a
Calculated at marker showing peak correlation among several closely linked markers.
F3-b
Calculated by MAPMAKER/QTL using interval mapping. LOD scores are given for an additive model (df= 1). Because all QTL effects in RI data are additive, for the sake of consistency we looked only at additive effects in the F2hybrid experiment.
F3-c
p values from the two independent experiments were combined using the conservative method of Fisher, −2Σln p = χ2,df = 2t, where t is the number of experiments (Sokal and Rohlf, 1981).
F3-150: This value far exceeds criterion levels of significance proposed byLander and Kruglyak (1995).