Process / pipelinePopulation genetics

Admixture Analysis

Admixture analysis is a population genetics method that infers population structure and individual ancestry from multilocus genotype data. Originally developed by Pritchard, Stephens, and Donnelly (2000) and refined by Alexander, Novembre, and Lange (2009), admixture analysis reveals how genetic variation is distributed among populations and estimates the ancestry fractions of admixed individuals. This technique is essential for understanding human evolutionary history, detecting population stratification in genetic studies, and inferring individual ancestry.

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Sources

  1. Alexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19(9), 1655–1664. DOI: 10.1101/gr.094052.109
  2. Pritchard, J. K., Stephens, M., & Donnelly, P. (2000). Inference of population structure from multilocus genotype data. Genetics, 155(2), 945–959. DOI: 10.1093/genetics/155.2.945
  3. Rosenberg, N. A., Pritchard, J. K., Weber, J. L., Cann, H. M., Kidd, K. K., Zhivotovsky, L. A., & Feldman, M. W. (2002). Genetic structure of human populations. Science, 298(5602), 2381–2385. DOI: 10.1126/science.1078311

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Referenced by

ScholarGateAdmixture Analysis (Population Admixture Analysis and Ancestry Inference). Retrieved 2026-06-04 from https://scholargate.app/en/genetics/admixture-analysis