Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits

Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits

The polygenic risk score (PRS) could be used to stratify individuals with high risk of diseases and predict complex trait of individual in a population. Previous studies developed a PRS-based prediction model using linear regression and evaluated the predictive performance of the model using the R2...

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Bibliographic Details
Main Authors: Hyein Jung, Hae-Un Jung, Eun Ju Baek, Ju Yeon Chung, Shin Young Kwon, Ji-One Kang, Ji Eun Lim, Bermseok Oh
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Genetics
Subjects:
polygenic risk score (PRS)
linear regression model
quantitative trait
prediction accuracy
heteroscedasticity
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2023.1150889/full

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https://www.frontiersin.org/articles/10.3389/fgene.2023.1150889/full

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