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Article

Stacked neural network for predicting polygenic risk score.

Scientific reports - 21 May 2024

Kim Sun Bin, Kang Joon Ho, Cheon MyeongJae, Kim Dong Jun, Lee Byung-Chul

Abstract excerpt

In recent years, the utility of polygenic risk scores (PRS) in forecasting disease susceptibility from genome-wide association studies (GWAS) results has been widely recognised. Yet, these models face limitations due to overfitting and the potential overestimation of effect sizes in correlated variants. To surmount these obstacles, we devised the Stacked Neural Network Polygenic Risk Score (SNPRS). This novel...

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Identifiers

PMID: 38773257
DOI: 10.1038/s41598-024-62513-1
PMCID: PMC11109142

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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