Salīdzināt metodes

	F-statistika (FST)	McDonald-Kreitman tests	Selection Sweep (Tajima's D)
Nozare	Ģenētika	Ģenētika	Ģenētika
Saime	Process / pipeline	Process / pipeline	Process / pipeline
Izcelsmes gads	1951	1991	1989
Autors	Sewall Wright	James McDonald & Martin Kreitman	Fumio Tajima
Tips	Population differentiation measure	Hypothesis test	Neutrality test
Pirmavots	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.	Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595.
Citi nosaukumi	FST, Wright's F-statistics, Population differentiation index	MK test, Positive selection test	Tajima's D test, Selective sweep analysis, Neutrality test
Saistītās	4	4	4
Kopsavilkums	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.	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.