Novel strategy for disease risk prediction incorporating predicted gene expression and DNA methylation data: a multi‐phased study of prostate cancer

Abstract Background DNA methylation and gene expression are known to play important roles in the etiology of human diseases such as prostate cancer (PCa). However, it has not yet been possible to incorporate information of DNA methylation and gene expression into polygenic risk scores (PRSs). Here,...

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Detalhes bibliográficos
Main Authors: Chong Wu, Jingjing Zhu, Austin King, Xiaoran Tong, Qing Lu, Jong Y. Park, Liang Wang, Guimin Gao, Hong‐Wen Deng, Yaohua Yang, Karen E. Knudsen, Timothy R. Rebbeck, Jirong Long, Wei Zheng, Wei Pan, David V. Conti, Christopher A Haiman, Lang Wu
Formato: Artigo
Idioma:Inglês
Publicado em: Wiley 2021-12-01
Colecção:Cancer Communications
Assuntos:
risk prediction
polygenic risk scores
predicted gene expression
predicted DNA methylation
integrative models
prostate cancer
Acesso em linha:https://doi.org/10.1002/cac2.12205
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