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Poligēnais riska rādītājs×F-statistika (FST)×
NozareĢenētikaĢenētika
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads20071951
AutorsShaun Purcell & Nicholas WraySewall Wright
TipsPredictive genomic methodPopulation differentiation measure
PirmavotsPurcell, S. M., Wray, N. R., Stone, J. L., Visscher, P. M., O'Donovan, M. C., Sullivan, P. F., & Sklar, P. (2007). Common polygenic variation contributes to risk of schizophrenia. Nature, 460(7256), 748–752. link ↗Wright, S. (1951). The genetical structure of populations. Annals of Eugenics, 15(4), 323–354. DOI ↗
Citi nosaukumiPRS, Polygenic score, Genomic risk scoreFST, Wright's F-statistics, Population differentiation index
Saistītās44
KopsavilkumsA polygenic risk score (PRS) is a summary measure that aggregates the effects of many genetic variants across the genome to predict an individual's genetic predisposition to disease or other complex traits. Developed initially by Purcell and colleagues in 2007, PRS methods combine genome-wide association study (GWAS) results with an individual's genotype to generate a personalized risk estimate. PRS approaches have transformed precision medicine by enabling risk stratification and early intervention in populations at high genetic risk.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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ScholarGateSalīdzināt metodes: Polygenic Risk Score · F-statistics (FST). Izgūts 2026-06-18 no https://scholargate.app/lv/compare