A unified mediation analysis framework for integrative cancer proteogenomics with clinical outcomes.

ABSTRACT:

Motivation

Multilevel molecular profiling of tumors and the integrative analysis with clinical outcomes have enabled a deeper characterization of cancer treatment. Mediation analysis has emerged as a promising statistical tool to identify and quantify the intermediate mechanisms by which a gene affects an outcome. However, existing methods lack a unified approach to handle various types of outcome variables, making them unsuitable for high-throughput molecular profiling data with highly interconnected variables.

Results

We develop a general mediation analysis framework for proteogenomic data that include multiple exposures, multivariate mediators on various scales of effects as appropriate for continuous, binary and survival outcomes. Our estimation method avoids imposing co

SUBMITTER: Huang L 

PROVIDER: S-EPMC9879726 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature