Сравнение методов

	F-статистики (FST)	Анализ адмикстуры
Область	Генетика	Генетика
Семейство	Process / pipeline	Process / pipeline
Год появления	1951	2009
Автор метода	Sewall Wright	David Alexander & Jonathan Novembre
Тип	Population differentiation measure	Clustering and inference method
Основополагающий источник	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.
Другие названия	FST, Wright's F-statistics, Population differentiation index	Population structure inference, Ancestry analysis, ADMIXTURE
Связанные	4	4
Сводка	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.