Leveraging Random Effects in Cistrome‐Wide Association Studies for Decoding the Genetic Determinants of Prostate Cancer

Leveraging Random Effects in Cistrome‐Wide Association Studies for Decoding the Genetic Determinants of Prostate Cancer

Abstract Cistrome‐wide association studies (CWAS) are pivotal for identifying genetic determinants of diseases by correlating genetically regulated cistrome states with phenotypes. Traditional CWAS typically develops a model based on cistrome and genotype data to associate predicted cistrome states...

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Bibliographic Details
Main Authors: Mengting Shao, Min Tian, Kaiyang Chen, Hangjin Jiang, Shuting Zhang, Zhenghui Li, Yan Shen, Feng Chen, Baixin Shen, Chen Cao, Ning Gu
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:Advanced Science
Subjects:
cistrome‐wide association studies
kernel method
nonlinear effect
prostate cancer
Online Access:https://doi.org/10.1002/advs.202400815

Internet

https://doi.org/10.1002/advs.202400815

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