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. 2012 Jan 17;7(1):e29901. doi: 10.1371/journal.pone.0029901

Table 1. Number of SNPs significantly correlated with top low dimensional coordinates and PCs.

Population CEU YRI ASI
Individuals 60 59 60
P-value for significance 6.51E-09 4.75E-09 8.23E-09
All SNPs 7,681,165 10,518,225 6,077,954
LLE Significant 3,099,007 6,216,648 1,740,342
PCA Significant 3,413,850 6,124,608 1,272,679
LLE (%) 40.3% 59.1% 28.6%
PCA (%) 44.4% 58.2% 20.9%
Common SNPs 5,853,886 7,382,215 5,259,537
LLE Significant 1,468,999 3,318,249 1,125,869
PCA Significant 1,860,653 3,266,439 1,172,668
LLE (%) 25.1% 44.9% 21.4%
PCA (%) 31.8% 44.2% 22.3%
Rare SNPs 1,827,279 3,136,010 818,417
LLE Significant 1,630,008 2,898,399 614,473
PCA Significant 1,553,197 2,858,169 100,011
LLE (%) 89.2% 92.4% 75.1%
PCA (%) 85.0% 91.1% 12.2%

Ancestry-informative markers in the LLE and PCA are identified by a simple regression where the low dimensional coordinates and principal component score are regressed on a genomic variant variable. SNPs with P-values less than threshold after Bonferroni correction for multiple tests are selected as LLE or PCA significantly correlated markers.