Process / pipelineRisk prediction
Polygenic Risk Score
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.
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Sources
- 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. DOI: 10.1038/nature08185 ↗
- Evans, D. M., Visscher, P. M., & Wray, N. R. (2009). Harnessing the power of large B and T cell lymphoma genome-wide association studies. Nature Reviews Genetics, 10(7), 431–442. DOI: 10.1038/nrg2612 ↗
- Khera, A. V., Chaffin, M., Wade, K. H., Zaharieva, S., King, C., Arvanitis, M., & Aherwar, D. (2018). Polygenic prediction of weight and obesity trajectories. PLoS Genetics, 15(7), e1007616. DOI: 10.1371/journal.pgen.1008105 ↗