Keywords
Principal component analysisBiologyPopulationPopulation geneticsEvolutionary biologyVariation (astronomy)Genetic variationSpatial variabilityGeneticsStatisticsDemographyMathematics
Affiliated Institutions
Related Publications
Nested clade analyses of phylogeographic data: testing hypotheses about gene flow and population history
Since the 1920s, population geneticists have had measures that describe how genetic variation is distributed spatially within a species’ geographical range. Modern genetic surve...
Fast model-based estimation of ancestry in unrelated individuals
Population stratification has long been recognized as a confounding factor in genetic association studies. Estimated ancestries, derived from multi-locus genotype data, can be u...
Population Structure and Eigenanalysis
Current methods for inferring population structure from genetic data do not provide formal significance tests for population differentiation. We discuss an approach to studying ...
Worldwide Human Relationships Inferred from Genome-Wide Patterns of Variation
Human genetic diversity is shaped by both demographic and biological factors and has fundamental implications for understanding the genetic basis of diseases. We studied 938 unr...
Bayesian inference of population size history from multiple loci
The results demonstrate the essential role of multiple loci in recovering population size dynamics. Multi-locus data from a small number of individuals can precisely recover pas...
Publication Info
- Year
- 2008
- Type
- article
- Volume
- 40
- Issue
- 5
- Pages
- 646-649
- Citations
- 692
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
692
OpenAlex
Cite This
John Novembre,
Matthew Stephens
(2008).
Interpreting principal component analyses of spatial population genetic variation.
Nature Genetics
, 40
(5)
, 646-649.
https://doi.org/10.1038/ng.139
Identifiers
- DOI
- 10.1038/ng.139