Сравнение методов

	Тест Макдональда-Крейтмана (MK)	F-статистики (FST)
Область	Генетика	Генетика
Семейство	Process / pipeline	Process / pipeline
Год появления	1991	1951
Автор метода	James McDonald & Martin Kreitman	Sewall Wright
Тип	Hypothesis test	Population differentiation measure
Основополагающий источник	McDonald, J. H., & Kreitman, M. (1991). Adaptive protein evolution at the Adh locus in Drosophila. Nature, 351(6328), 652–654.	Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354.
Другие названия	MK test, Positive selection test	FST, Wright's F-statistics, Population differentiation index
Связанные	4	4
Сводка	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.	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.