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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Hlavní autoři:	Emil Uffelmann, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Alkes L. Price, Danielle Posthuma, Wouter J. Peyrot
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-09-01
Edice:	Nature Communications
On-line přístup:	https://doi.org/10.1038/s41467-025-62929-x
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