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Admixture Analysis×Selection Sweep (Tajima's D)×
FagområdeGenetikGenetik
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår20091989
OphavspersonDavid Alexander & Jonathan NovembreFumio Tajima
TypeClustering and inference methodNeutrality test
Oprindelig kildeAlexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19(9), 1655–1664. DOI ↗Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595. DOI ↗
AliasserPopulation structure inference, Ancestry analysis, ADMIXTURETajima's D test, Selective sweep analysis, Neutrality test
Relaterede44
ResuméAdmixture 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.Tajima's D is a statistical test designed to detect selective sweeps—recent, rapid fixation of advantageous mutations—from patterns of genetic variation in DNA sequences. Developed by Fumio Tajima in 1989, this test measures deviations from neutrality by comparing different measures of DNA sequence diversity. A significant Tajima's D value indicates departure from neutral evolution, suggesting positive selection, population structure, or demographic events.
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ScholarGateSammenlign metoder: Admixture Analysis · Selection Sweep (Tajima's D). Hentet 2026-06-19 fra https://scholargate.app/da/compare