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Statistik F (FST)×Analisis Blok LD×
BidangGenetikaGenetika
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19512002
PencetusSewall WrightShaun Gabriel & Eric Lander
TipePopulation differentiation measureHaplotype analysis method
Sumber perintisWright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354. DOI ↗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. DOI ↗
AliasFST, Wright's F-statistics, Population differentiation indexHaplotype block analysis, LD mapping, Block structure analysis
Terkait45
RingkasanF-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.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.
ScholarGateSet data
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  2. 3 Sumber
  3. PUBLISHED
  1. v1
  2. 3 Sumber
  3. PUBLISHED

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ScholarGateBandingkan metode: F-statistics (FST) · LD Block Analysis. Diakses 2026-06-17 dari https://scholargate.app/id/compare