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. 2017 Oct 18;10:499. doi: 10.1186/s13071-017-2459-z

Table 4.

Results of linkage disequilibrium analysis based on allelic profile data

Population n H ± SD I S A PMC VD L VD > L
All 36 0.5151 ± 0.1396 0.0903 1.10 × 10−02 0.9725 0.7652 Y
Alla 23 0.6107 ± 0.1358 0.0408 2.11 × 10−01 0.8191 0.7297 Y
Population 1 14 0.2637 ± 0.1539 0.0482 1.97 × 10−01 0.5636 0.4925 Y
Population 2 10 0.2833 ± 0.1641 -0.0358 0.4364 0.4889 N
Population 3 12 0.6856 ± 0.0908 0.0739 1.76 × 10−01 0.9326 0.7633 Y
Population 1a 7 0.5833 ± 0.1463 -0.0331 7.75 × 10−01 0.6443 0.7153 N
Population 2a 6 0.3167 ± 0.1873 -0.0690 0.3524 0.4444 N
Population 3a 12 0.6856 ± 0.0908 0.0739 1.76 × 10−01 0.9326 0.7633 Y

aConsidering each group of isolates with the same MLG as one individual

Abbreviations: n number of isolates, H mean genetic diversity, SD standard deviation, I S A standardized index of association, P MC significance for obtaining this value in 1000 simulations using the Monte Carlo method, V D variance of pair-wise differences, L 95% critical value for VD, VD > L indicates linkage disequilibrium, Y, V D > L N, VD ≤ L