Polygenic prediction via Bayesian regression and continuous shrinkage priors
Polygenic risk scores (PRS) have the potential to predict complex diseases and traits from genetic data. Here, Ge et al. develop PRS-CS which uses a Bayesian regression framework, continuous shrinkage (CS) priors and an external LD reference panel for polygenic prediction of binary and quantitative...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2019-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-09718-5 |