Сравнение на методи

	F-статистики (FST)	Анализ на примеси	Селективен суип (D на Таджима)
Област	Генетика	Генетика	Генетика
Семейство	Process / pipeline	Process / pipeline	Process / pipeline
Година на възникване	1951	2009	1989
Създател	Sewall Wright	David Alexander & Jonathan Novembre	Fumio Tajima
Тип	Population differentiation measure	Clustering and inference method	Neutrality test
Основополагащ източник	Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354.	Alexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19(9), 1655–1664.	Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595.
Други названия	FST, Wright's F-statistics, Population differentiation index	Population structure inference, Ancestry analysis, ADMIXTURE	Tajima's D test, Selective sweep analysis, Neutrality test
Свързани	4	4	4
Резюме	F-statistics are a family of measures developed by Sewall Wright to quantify population genetic structure and the degree of genetic differentiation between populations. FST, the most widely used F-statistic, measures the proportion of total genetic variation attributable to differences between populations versus within populations. FST ranges from zero (no differentiation) to one (complete differentiation). These statistics have become fundamental tools for understanding population structure, detecting population admixture, and analyzing the evolutionary forces shaping genetic variation.	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.	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.