手法を比較

	F統計量 (FST)	Coalescent Theory	LDブロック解析
分野	遺伝学	遺伝学	遺伝学
系統	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	1951	1982	2002
提唱者	Sewall Wright	John Kingman	Shaun Gabriel & Eric Lander
種類	Population differentiation measure	Stochastic process model	Haplotype analysis method
原典	Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354.	Kingman, J. F. C. (1982). The coalescent. Stochastic Processes and their Applications, 13(3), 235–248.	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.
別名	FST, Wright's F-statistics, Population differentiation index	Kingman Coalescent, n-coalescent	Haplotype block analysis, LD mapping, Block structure analysis
関連	4	4	5
概要	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.	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.	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.