Table 2 Sensitivity of the adwave method to a range of data limitations
Data limitationsAdmixture time (generations)
ConditionDescription10204080160320
1Reference11.55 (0.69)11.14 (0.58)10.65 (0.7)10.13 (0.66)9.54 (1.12)8.84 (1.72)
2Realistic LD11.71 (0.84)11.31 (0.88)10.85 (1.08)10.32 (1.04)9.82 (1.23)9.09 (2.28)
3Reduced sample size11.66 (0.90)11.25 (0.63)10.74 (0.88)10.20 (0.85)9.58 (1.19)8.85 (1.78)
4Reduced divergence between ancestral populations11.64 (0.83)11.24 (0.69)10.76 (0.82)10.21 (1.02)9.49 (1.35)8.32 (3.59)
5Non-representative ancestral populations11.73 (1.34)11.23 (1.42)10.77 (1.51)10.21 (1.45)9.58 (1.94)8.60 (3.06)
6SNP density T = 403610.47 (0.91)10.04 (0.73)9.55 (0.92)8.98 (1.22)8.37 (1.62)7.60 (3.13)
7SNP density T = 32509.96 (0.76)9.60 (0.60)9.19 (0.76)8.68 (1.08)8.12 (1.41)7.37 (2.6)
8SNP density T = 16258.99 (1.23)8.63 (1.09)8.20 (1.50)7.68 (2.29)7.10 (3.15)6.33 (5.86)
  • Mean average block size values (relative standard deviation in parentheses) are shown for each admixture time. Reference data were simulated with T = 13,000 SNPs, populations sizes of nA, nB = 15, nC = 15, and divergence between the ancestral populations at TAncestral = 2000 generations ago.