Fast model-based estimation of ancestry in unrelated individuals
University of California, Los Angeles
Abstract
Population stratification has long been recognized as a confounding factor in genetic association studies. Estimated ancestries, derived from multi-locus genotype data, can be used to perform a statistical correction for population stratification. One popular technique for estimation of ancestry is the model-based approach embodied by the widely applied program structure. Another approach, implemented in the program EIGENSTRAT, relies on Principal Component Analysis rather than model-based estimation and does not directly deliver admixture fractions. EIGENSTRAT has gained in popularity in part owing to its remarkable speed in comparison to structure. We present a new algorithm and a program, ADMIXTURE, for…
Citation impact
- FWCI
- —
- Percentile
- —
- References
- 34
Authors
3Topics & keywords
- Population stratification
- Algorithm
- Population
- Expectation–maximization algorithm
- Bayesian probability
- Principal component analysis
- Computer science
- Biology