So sánh phương pháp

	Lý thuyết Coalescent	Phân tích Hỗn hợp	Tái tạo trạng thái tổ tiên	Thống kê F (FST)	Quét chọn lọc (Tajima's D)
Lĩnh vực	Di truyền học	Di truyền học	Di truyền học	Di truyền học	Di truyền học
Họ	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline	Process / pipeline
Năm ra đời	1982	2009	1991	1951	1989
Người khởi xướng	John Kingman	David Alexander & Jonathan Novembre	Wayne Maddison	Sewall Wright	Fumio Tajima
Loại	Stochastic process model	Clustering and inference method	Inference method	Population differentiation measure	Neutrality test
Công trình gốc	Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248.	Alexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19(9), 1655–1664.	Maddison, W. P. (1991). Squared-change parsimony reconstructions of ancestral states for continuous-valued characters on a phylogenetic tree. Systematic Zoology, 40(3), 308–314.	Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354.	Tajima, F. (1989). Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics, 123(3), 585–595.
Tên gọi khác	Kingman Coalescent, n-coalescent	Population structure inference, Ancestry analysis, ADMIXTURE	ASR, Ancestral character reconstruction, Trait reconstruction	FST, Wright's F-statistics, Population differentiation index	Tajima's D test, Selective sweep analysis, Neutrality test
Liên quan	4	4	3	4	4
Tóm tắt	Coalescent theory is a probabilistic framework that traces the genealogical history of DNA sequences backward in time to their most recent common ancestor. Developed by John Kingman in 1982, this method forms the foundation of modern population genetics, enabling researchers to understand demographic events, estimate genetic parameters, and reconstruct evolutionary histories from modern genetic data.	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.	Ancestral state reconstruction (ASR) is a phylogenetic method that infers the character states (trait values or evolutionary features) of extinct ancestors by analyzing patterns of variation in extant (living) species. Developed by Wayne Maddison and colleagues in the 1990s, ASR uses the phylogenetic tree and observed trait variation in living species to estimate what ancestors possessed, enabling researchers to trace the evolutionary history of morphological, behavioral, ecological, and genomic traits.	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.	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.