Table 1. Unbiased estimates of percent genetic variance explained by detected QTLs, in real and simulated data.
Variance explained | Data | Four-locus model | Best model |
---|---|---|---|
0–10 | 0.26 | 0.11 | 0.2 |
10–20 | 0.15 | 0.27 | 0.18 |
20–30 | 0.14 | 0.33 | 0.16 |
30–40 | 0.13 | 0.2 | 0.12 |
40–50 | 0.09 | 0.07 | 0.09 |
50–60 | 0.07 | 0.02 | 0.06 |
>60 | 0.16 | 0.004 | 0.2 |
Median | 0.27 | 0.24 | 0.27 |
Numbers in each cell represent the fraction of QTLs in a given data set that explain a percent of genetic variance in a given range. Data: QTLs detected across all real transcripts. QTLs detected in the subset of highly heritable transcripts were not significantly different (data not shown). Four-locus model: QTLs simulated under a model of four additive loci of equal effect. Best model: QTLs simulated under the best-fit additive model for highly heritable transcripts. QTLs with negative estimates were not included. When transcripts linked to multiple loci, results are for the QTL with the most significant P value in the linkage test.