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. 2013 Nov 13;8(11):e78423. doi: 10.1371/journal.pone.0078423

Table 2. Correlation coefficients of the population structure, latitude, and AUDPC in each year.

Latitude Q1 Q2 Q3 PC1 AUDPC09 AUDPC10
Q1 −0.37016
<0.0001a
Q2 −0.08427 −0.74541
0.0876 <0.0001
Q3 0.65247 −0.49093 −0.2148
<0.0001 <0.0001 <0.0001
PC1 −0.62464 0.65285 −0.17031 −0.73393
<0.0001 <0.0001 0.0005 <0.0001
AUDPC09 0.73339 −0.42216 0.00914 0.60658 −0.67059
<0.0001 <0.0001 0.8533 <0.0001 <0.0001
AUDPC10 0.67009 −0.53882 0.05547 0.71694 −0.73558 0.77123
<0.0001 <0.0001 0.2613 <0.0001 <0.0001 <0.0001
AUDPC11 0.73398 −0.50088 0.09273 0.61266 −0.69105 0.79764 0.8213
<0.0001 <0.0001 0.06 <0.0001 <0.0001 <0.0001 <0.0001
a

P value of Pearson’s correlation coefficient (n = 412).

Q1, Q2, Q3 represent the three sub-populations revealed by GENELAND analysis where pairwise FST were calculated. Q1×Q2 = 0.0118, Q1×Q3 = 0.0226, and Q2×Q3 = 0.02. PC1 represents the first principal component used to correct for population stratification.