مقایسهٔ روش‌ها

	تحلیل آمیختگی	آماره‌های F (FST)
حوزه	ژنتیک	ژنتیک
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	2009	1951
پدیدآور	David Alexander & Jonathan Novembre	Sewall Wright
نوع	Clustering and inference method	Population differentiation measure
منبع بنیادین	Alexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19(9), 1655–1664.	Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354.
نام‌های دیگر	Population structure inference, Ancestry analysis, ADMIXTURE	FST, Wright's F-statistics, Population differentiation index
مرتبط	4	4
خلاصه	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.	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.