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Table 2 Correlation coefficients for comparisons between principal components (PC) estimates from the even and odd chromosome marker sets

From: Large-scale SNP analysis reveals clustered and continuous patterns of human genetic variation

Population First PC Second PC Third PC Fourth PC
African-American 0.796 (<0.0001) 0.495 (0.001) 0.125 (NS) 0.219 (NS)
European-American 0.498 (0.001) 0.021 (NS) 0.134 (NS) 0.078 (NS)
Puerto Rican 0.624 (0.003) 0.761 (<0.0001) 0.417 (NS) 0.412 (NS)
Mbuti 0.098 (NS) 0.004 (NS) 0.014 (NS) 0.41 (NS)
Mende 0.170 (NS) 0.236 (NS) 0.353 (NS) 0.302 (NS)
Burunge 0.197 (NS) 0.114 (NS) 0.051 (NS) 0.265 (NS)
Spanish 0.203 (NS) 0.065 (NS) 0.014 (NS) 0.157 (NS)
Indian, all 0.183 (NS) 0.659 (0.001) 0.612 (0.002) 0.483 (NS)
Indian, lower caste 0.145 (NS) 0.565 (NS) 0.236 (NS) 0.491 (NS)
Indian, upper caste 0.500 (NS) 0.736 (0.01) 0.342 (NS) 0.191 (NS)
Altaian 0.136 (NS) 0.784 (<0.0001) 0.108 (NS) 0.448 (NS)
East Asian 0.158 (NS) 0.403 (NS) 0.047 (NS) 0.043 (NS)
Chinese 0.515 (NS) 0.127 (NS) 0.188 (NS) 0.376 (NS)
Japanese 0.503 (NS) 0.539 (NS) 0.049 (NS) 0.24 (NS)
Quechua 0.160 (NS) 0.380 (NS) 0.384 (NS) 0.399 (NS)
Nahua 0.047 (NS) 0.215 (NS) 0.097 (NS) 0.165 (NS)
Nasioi 0.015 (NS) 0.283 (NS) 0.742 (<0.0001) 0.775 (<0.0001)
  1. Shown is Spearman's correlation coefficient and p value in parentheses. Significant corrections among even and odd chromosomal estimates are shown in bold.
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