PCA-correlated SNPs for structure identification in worldwide human populations.
Existing methods to ascertain small sets of markers for the identification of human population structure require prior knowledge of individual ancestry. Based on Principal Components Analysis (PCA), and recent results in theoretical computer science, we present a novel algorithm that, applied on gen...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2007-09-01
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| Series: | PLoS Genetics |
| Online Access: | http://europepmc.org/articles/PMC1988848?pdf=render |