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Article

PCA-correlated SNPs for structure identification in worldwide human populations.

PLoS genetics - 1 Sept 2007

Paschou Peristera, Ziv Elad, Burchard Esteban G, Choudhry Shweta, Rodriguez-Cintron William, Mahoney Michael W, Drineas Petros

Abstract excerpt

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 genomewide data, selects small subsets of SNPs (PCA-correlated SNPs) to reproduce the structure found by PCA on the...

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PMID: 17892327
DOI: 10.1371/journal.pgen.0030160
PMCID: PMC1988848

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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