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| 多基因风险评分× | F统计量 (FST)× | |
|---|---|---|
| 领域 | 遗传学 | 遗传学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2007 | 1951 |
| 提出者≠ | Shaun Purcell & Nicholas Wray | Sewall Wright |
| 类型≠ | Predictive genomic method | Population differentiation measure |
| 开创性文献≠ | Purcell, 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 ↗ |
| 别名 | PRS, Polygenic score, Genomic risk score | FST, Wright's F-statistics, Population differentiation index |
| 相关 | 4 | 4 |
| 摘要≠ | A 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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