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. 2009 Sep;183(1):299–313. doi: 10.1534/genetics.109.104893

TABLE 4.

Comparison between simulation results and predictions for the MSD additive variance after bottlenecks

Model k N = 1000 N = 50 N = 10 N = 2
I Simulation 4 0.0019 0.0041 0.0060 0.0045
2 0.0019 0.0041 0.0059 0.0039
1 0.0018 0.0041 0.0059 0.0036
Diffusion 1 0.0018 0.0036 0.0058 0.0029
Shortcut 1 0.0019 0.0035 0.0045 0.0021
II Simulation 4 0.0024 0.0049 0.0067 0.0048
2 0.0024 0.0045 0.0058 0.0038
1 0.0024 0.0045 0.0056 0.0035
Diffusion 1 0.0023 0.0040 0.0050 0.0025
Shortcut 1 0.0024 0.0039 0.0043 0.0020
III Simulation 4 0.0079 0.0129 0.0128 0.0066
2 0.0079 0.0122 0.0115 0.0048
1 0.0080 0.0119 0.0109 0.0044
Diffusion 1 0.0076 0.0103 0.0099 0.0034
Shortcut 1 0.0080 0.0100 0.0085 0.0023

Values of the MSD additive variance obtained by simulation in the base population (N = 1000) or after 100 bottlenecks (N = 2, 10, 50, estimated from samples of 100 offspring in each line), for the different models and types of gene action (k = 1, no epistasis; k = 2, moderate synergistic epistasis; k = 4, strong synergistic epistasis), and MSD expectations (k = 1) derived from diffusion theory or a shortcut method (García-Dorado 2007) are shown.