Skip to main content
. 2013 Apr 11;9(4):e1003443. doi: 10.1371/journal.pgen.1003443

Figure 5. PCA from common variants, low frequency variants, and both types of variants.

Figure 5

Plotted are the first eigen-vector versus second eigen-vector for Broad samples. Eigen-vectors are obtained by applying PCA to all common variants that have no missingness (56,607 variants) (A), all low frequency variants that have no missingness (29,509 variants) (B), and both type of variants (C). The colors are obtained by clustering individuals based on their coordinates in panel (A) using model based clustering [51].