手法を比較

	系統発生学的独立対比法	祖先状態復元	F統計量 (FST)
分野	遺伝学	遺伝学	遺伝学
系統	Process / pipeline	Process / pipeline	Process / pipeline
提唱年	1985	1991	1951
提唱者	Joseph Felsenstein	Wayne Maddison	Sewall Wright
種類	Statistical comparative method	Inference method	Population differentiation measure
原典	Felsenstein, J. (1985). Phylogenies and the comparative method. American Naturalist, 125(1), 1–15.	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.
別名	PIC, Contrasts method, Felsenstein's contrasts	ASR, Ancestral character reconstruction, Trait reconstruction	FST, Wright's F-statistics, Population differentiation index
関連	3	3	4
概要	Phylogenetic Independent Contrasts (PIC) is a comparative statistical method that tests for associations between traits across species while accounting for shared evolutionary history. Developed by Joseph Felsenstein in 1985, PIC solves a fundamental problem in comparative biology: related species share traits due to common ancestry, not independent evolution, which violates the statistical assumption of independence. By comparing trait differences between sister species pairs, PIC removes the confounding effects of phylogenetic relatedness and enables robust evolutionary inferences.	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.