A microbial causal mediation analytic tool for health disparity and applications in body mass index.

ABSTRACT:

Background

Emerging evidence suggests the potential mediating role of microbiome in health disparities. However, no analytic framework can be directly used to analyze microbiome as a mediator between health disparity and clinical outcome, due to the non-manipulable nature of the exposure and the unique structure of microbiome data, including high dimensionality, sparsity, and compositionality.

Methods

Considering the modifiable and quantitative features of the microbiome, we propose a microbial causal mediation model framework, SparseMCMM_HD, to uncover the mediating role of microbiome in health disparities, by depicting a plausible path from a non-manipulable exposure (e.g., ethnicity or region) to the outcome through the microbiome. The proposed SparseMCMM_HD rigorously de

SUBMITTER: Wang C 

PROVIDER: S-EPMC10373330 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature