Table 1.
Estimated FST values on complete dataset.
Figure 1.
Effect of increasing sample sizes.
Results are shown for the simulations where allele frequencies were equally distributed from 0.05 to 0.95. The number of markers was fixed at k = 100 (left column) and k = 1,000 (right column). Each row contains a different level of genetic differentiation (FST = 0, 0.01, 0.05, 0.1, 0.2, 0.4). The results (average FST and 95% CI) of each estimator are depicted in the different graphs: FSTW (blue circles), FSTC&W (purple squares) and FSTR (green triangles). The dashed red line indicates the actual FST for the simulated population.
Figure 2.
Effect of increasing the number of markers.
Results are shown for the simulations where allele frequencies were equally distributed from 0.05 to 0.95. The number of individuals was fixed at n = 4 (left column) and n = 20 (right column). Each row contains (like in Figure 1) a different level of genetic differentiation (FST = 0, 0.01, 0.05, 0.1, 0.2, 0.4). The results (average FST and 95% CI) of each estimator are depicted in the different graphs: FSTW (blue circles), FSTC&W (purple squares) and FSTR (green triangles). The dashed red line indicates the actual FST for the simulated population.
Table 2.
Estimated FST values changed allele frequency distributions, n = 50, k = 1000.