Porównaj metody

	GCTA	Wynik poligeniczny (Polygenic Risk Score, PRS)
Dziedzina	Genetyka	Genetyka
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2011	2007
Twórca	Jian Yang & Peter Visscher	Shaun Purcell & Nicholas Wray
Typ	Computational analysis tool	Predictive genomic method
Źródło pierwotne	Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011). GCTA: A tool for genome-wide complex trait analysis. American Journal of Human Genetics, 88(1), 76–82.	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.
Inne nazwy	GREML, Genome-wide complex trait analysis, Heritability estimation	PRS, Polygenic score, Genomic risk score
Pokrewne	4	4
Podsumowanie	GCTA (Genome-wide Complex Trait Analysis) is a computational toolkit for estimating heritability and genetic correlations from genome-wide genotype and phenotype data. Developed by Yang and Visscher in 2011, GCTA uses genome-wide restricted maximum likelihood (GREML) to partition phenotypic variance into components explained by common SNPs, environmental factors, and residual variation. GCTA has become a standard tool for understanding the proportion of trait variation attributable to genetics across complex diseases and quantitative traits.	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.