Polygenic prediction via Bayesian regression and continuous shrinkage priors
Ge T, Chen CY, Ni Y et al. · 2019
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Description
Tian Ge, Chia-Yen Chen, Yang Ni, and coauthors presented PRS-CS for polygenic prediction in 2019. Polygenic scores add up many small genetic effects to estimate disease risk. Better math can sharpen those scores without new data.
PRS-CS infers the true effect of each variant using association summaries plus a reference map of variant correlation. Its Bayesian shrinkage adapts to how heritable and complex a trait is. In tests it beat common rivals across several traits. Sharper scores help research on shared causes and, in time, may guide screening for high-risk groups.
Catalog record
| CREATOR | Ge T, Chen CY, Ni Y et al. |
|---|---|
| YEAR | 2019 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 58 KB |
| LICENSE | Creative Commons Attribution License |
| RIGHTS | CC BY |
| SOURCE | PubMed Central |