Estimating disorder probability based on polygenic prediction using the BPC approach
Abstract Polygenic Scores (PGSs) summarize an individual’s genetic propensity for a given trait. Bayesian methods, which improve the prediction accuracy of PGSs, are not well-calibrated for binary disorder traits in ascertained samples. This is a problem because well-calibrated PGSs are needed for f...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2025-09-01
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| Serie: | Nature Communications |
| Accesso online: | https://doi.org/10.1038/s41467-025-62929-x |
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