Сравнение методов

	F-статистики (FST)	Тест Макдональда-Крейтмана (MK)
Область	Генетика	Генетика
Семейство	Process / pipeline	Process / pipeline
Год появления	1951	1991
Автор метода	Sewall Wright	James McDonald & Martin Kreitman
Тип	Population differentiation measure	Hypothesis test
Основополагающий источник	Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354.	McDonald, J. H., & Kreitman, M. (1991). Adaptive protein evolution at the Adh locus in Drosophila. Nature, 351(6328), 652–654.
Другие названия	FST, Wright's F-statistics, Population differentiation index	MK test, Positive selection test
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.	The McDonald-Kreitman (MK) test is a statistical method for detecting adaptive evolution by comparing ratios of synonymous and nonsynonymous substitutions within and between species. Developed by James McDonald and Martin Kreitman in 1991, this test exploits the key insight that neutral mutations accumulate at similar rates within and between species, while adaptive (nonsynonymous) substitutions should be enriched between species if they have been fixed by positive selection. The MK test has become a standard tool in molecular evolutionary biology for identifying genes under natural selection.