High-dimensional quantile mediation analysis with application to a birth cohort study of mother-newborn pairs.
Bioinformatics
; 40(2)2024 02 01.
Article
in En
| MEDLINE
| ID: mdl-38290773
ABSTRACT
MOTIVATION There has been substantial recent interest in developing methodology for high-dimensional mediation analysis. Yet, the majority of mediation statistical methods lean heavily on mean regression, which limits their ability to fully capture the complex mediating effects across the outcome distribution. To bridge this gap, we propose a novel approach for selecting and testing mediators throughout the full range of the outcome distribution spectrum. RESULTS:
The proposed high-dimensional quantile mediation model provides a comprehensive insight into how potential mediators impact outcomes via their mediation pathways. This method's efficacy is demonstrated through extensive simulations. The study presents a real-world data application examining the mediating effects of DNA methylation on the relationship between maternal smoking and offspring birthweight. AVAILABILITY AND IMPLEMENTATION Our method offers a publicly available and user-friendly function qHIMA(), which can be accessed through the R package HIMA at https//CRAN.R-project.org/package=HIMA.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Mediation Analysis
/
Mothers
Type of study:
Etiology_studies
/
Observational_studies
/
Prognostic_studies
Limits:
Female
/
Humans
/
Newborn
Language:
En
Journal:
Bioinformatics
Journal subject:
INFORMATICA MEDICA
Year:
2024
Type:
Article
Affiliation country:
China