Variational autoencoder-based model improves polygenic prediction in blood cell traits

Variational autoencoder-based model improves polygenic prediction in blood cell traits

Summary: Genetic prediction of complex traits, enabled by large-scale genomic studies, has created new measures to understand individual genetic predisposition. Polygenic risk scores (PRSs) offer a way to aggregate information across the genome, enabling personalized risk prediction for complex trai...

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Bibliographic Details
Main Authors: Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun
Format: Article
Language:English
Published: Elsevier 2025-10-01
Series:HGG Advances
Subjects:
polygenic risk scores
genetics
genetic interations
personalized medicine
deep learning
variational autoencoder
Online Access:http://www.sciencedirect.com/science/article/pii/S2666247725000934
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http://www.sciencedirect.com/science/article/pii/S2666247725000934

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