A statistical boosting framework for polygenic risk scores based on large-scale genotype data

A statistical boosting framework for polygenic risk scores based on large-scale genotype data

Polygenic risk scores (PRS) evaluate the individual genetic liability to a certain trait and are expected to play an increasingly important role in clinical risk stratification. Most often, PRS are estimated based on summary statistics of univariate effects derived from genome-wide association studi...

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Bibliographic Details
Main Authors: Hannah Klinkhammer, Christian Staerk, Carlo Maj, Peter Michael Krawitz, Andreas Mayr
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Genetics
Subjects:
polygenic risk score (PRS)
high-dimensional data
variable selection
boosting
GWAS—genome-wide association study
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.1076440/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.1076440/full

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