方法对比

	F统计量 (FST)	混合分析 (Admixture Analysis)	LD区块分析
领域	遗传学	遗传学	遗传学
方法族	Process / pipeline	Process / pipeline	Process / pipeline
起源年份	1951	2009	2002
提出者	Sewall Wright	David Alexander & Jonathan Novembre	Shaun Gabriel & Eric Lander
类型	Population differentiation measure	Clustering and inference method	Haplotype analysis method
开创性文献	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.	Gabriel, S. B., Schaffner, S. F., Nguyen, H., Moore, J. M., Roy, J., Blumenstiel, B., & Lander, E. S. (2002). The structure of haplotype blocks in the human genome. Science, 296(5576), 2225–2229.
别名	FST, Wright's F-statistics, Population differentiation index	Population structure inference, Ancestry analysis, ADMIXTURE	Haplotype block analysis, LD mapping, Block structure analysis
相关	4	4	5
摘要	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.	Linkage disequilibrium (LD) block analysis is a genomic method that partitions the human genome into distinct haplotype blocks—regions of limited recombination where variants are in strong statistical association. First systematically described by Gabriel and colleagues in 2002, this approach reveals the underlying structure of genetic variation and enables efficient genomic studies by reducing the number of variants needed to capture common diversity. LD block analysis forms the foundation of genome-wide association study (GWAS) design and modern population genetics.