Table 5.

An evaluation of alternative models for the the Netherlands populationa




Mean πb

Mean HKA χ2

Mean D

Mean Var(D)

Mean H

Mean Var(H)

Mean #IL
Observedc 2.00 192.87 −0.06 1.55 −1.58 6.46 14
Model
SNMd 1.97 75.9 (<10−4) −0.02 (0.250) 0.66 (<10−4) −0.00 (<10−4) 1.49 (<10−4) 2.7 (<10−4)
BN1d 2.08 157.7 (0.029) 0.39 (0.000) 1.41 (0.163) −1.26 (0.071) 4.73 (0.101) 13 (0.470)
BN2d 2.09 135.6 (<10−3) −0.01 (0.315) 1.25 (0.007) −0.96 (0.002) 4.03 (0.030) 7.6 (0.015)
BN3d 2.01 165.4 (0.078) 0.08 (0.125) 1.63 (0.700) −1.20 (0.050)e 5.08 (0.157) 14 (0.549)
HHd
2.06
(n.d.)
−0.60 (<10−3)
0.57 (<10−3)
0.24 (<10−3)
2.24 (<10−3)
6.6 (0.006)

a Combining the 10 loci surveyed here and 106 loci surveyed in Glinka et al. (2003).

b Average π per locus across loci, the average number of sites surveyed is 477 base pairs.

c Mean of the observed values. Var(D): the variance of D; Var(H): the variance of H; #IL: the number of invariant loci out of 115 surveyed.

d Mean simulated values are given for π, HKA χ2 and #IL; the mean of mean simulated values are given for Tajima's D, Var(D), and Fay and Wu's H, and Var(H). P-values of the observed means under the model simulated are given in parentheses. See Methods for descriptions of the models. SNM: the standard neutral model, mean Θ = 5.43. BN1: a bottleneck started 0.12Ne generations ago (duration = 0.106Ne generations, between ∼4000 and 30,000 years ago; f = 0.05; mean Θ = 5.43); BN2: a bottleneck started 0.192Ne generations ago (duration = 0.112Ne generations, between ∼20,000 and 50,000 years ago; f = 0.05; mean Θ = 5.43); BN3: a bottleneck started 0.06Ne generations ago (duration = 0.000021Ne generations, about 16,000 years ago; f = 0.00001; mean Θ = 5.43); HH: recurrent hitchhiking (Ne = 2.5 million; s = 0.005; λ = 0.000052; mean Θ = 5.43). P-values are based on 1000 replicates for models HH and 10,000 replicates for the models SNM, BN1, BN2, and BN3. p/Θ = 7 for all models. (n.d.): the HKA test was not performed for the hitchhiking model.

e P = 0.060 under a finite-sites model (see Supplemental Results).