BHCox: Bayesian heredity-constrained Cox proportional hazards models for detecting gene-environment interactions.

ABSTRACT:

Background

Gene-environment (G × E) interactions play a critical role in understanding the etiology of diseases and exploring the factors that affect disease prognosis. There are several challenges in detecting G × E interactions for censored survival outcomes, such as the high dimensionality, complexity of environmental effects, and specificity of survival analysis. The effect heredity, which incorporates the dependence of the main effects and interactions in the analysis, has been widely applied in the study of interaction detection. However, it has not yet been applied to Bayesian Cox proportional hazards models for detecting interactions for censored survival outcomes.

Results

In this study, we propose Bayesian heredity-constrained Cox proportional hazards (BHCox) models

SUBMITTER: Sun N 

PROVIDER: S-EPMC11834309 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature