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Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.
| LD Block Analysis× | F-statistik (FST)× | |
|---|---|---|
| Ämnesområde | Genetik | Genetik |
| Familj | Process / pipeline | Process / pipeline |
| Ursprungsår≠ | 2002 | 1951 |
| Upphovsperson≠ | Shaun Gabriel & Eric Lander | Sewall Wright |
| Typ≠ | Haplotype analysis method | Population differentiation measure |
| Ursprungskälla≠ | 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 ↗ | Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354. DOI ↗ |
| Alias | Haplotype block analysis, LD mapping, Block structure analysis | FST, Wright's F-statistics, Population differentiation index |
| Närliggande≠ | 5 | 4 |
| Sammanfattning≠ | 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. | 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. |
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