Principal components analysis corrects for stratification in genome-wide association studies¶
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006). Principal components analysis corrects for stratification in genome-wide association studies. Nature Genetics.
Cited by¶
1 citation across 1 artifact.
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Domain-specific¶
- Regression
- Social science — regression on survey and administrative data to estimate effects of policy, education, and environment. Operations and budgeting — regression of cost or demand on drivers, the standard tool of forecasting and variance attribution. Quality and process engineering — response-surface modelling and designed experiments analysed by regression. Machine learning — regression as the supervised-learning task for continuous outcomes, the boundary with classification being task-defined rather than structural. Genetics — genome-wide association studies as regressions of phenotype on SNP dosage with population-structure correction.
This sourceA genome-wide association method that corrects for population stratification by explicitly modelling ancestry differences with principal components analysis.
Supported in partVerified against the work's full text
“Population stratification—allele frequency differences between cases and controls due to systematic ancestry differences—can cause spurious associations in disease studies.”
- Social science — regression on survey and administrative data to estimate effects of policy, education, and environment. Operations and budgeting — regression of cost or demand on drivers, the standard tool of forecasting and variance attribution. Quality and process engineering — response-surface modelling and designed experiments analysed by regression. Machine learning — regression as the supervised-learning task for continuous outcomes, the boundary with classification being task-defined rather than structural. Genetics — genome-wide association studies as regressions of phenotype on SNP dosage with population-structure correction.
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