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

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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Bibliographic Details
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
Format: Article
Language:English
Published: Wiley 2021-12-01
Series:Cancer Communications
Subjects:
risk prediction
polygenic risk scores
predicted gene expression
predicted DNA methylation
integrative models
prostate cancer
Online Access:https://doi.org/10.1002/cac2.12205

Internet

https://doi.org/10.1002/cac2.12205

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