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High-dimensional Bayesian mediation analysis with adaptive Laplace priors.

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Summary
This summary is machine-generated.

This study introduces an adaptive Bayesian mediation analysis to explore environmental and clinical factors influencing triple-negative breast cancer (TNBC) racial disparities. The method identified key mediators, including air pollutant Naphtha, age, insurance, and tumor grade, explaining some diagnosed stage differences.

Keywords:
Bayesian mediation analysisHealth inequalityHigh-dimensional data set

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Area of Science:

  • Environmental Epidemiology
  • Biostatistics
  • Genomic Medicine

Background:

  • Mediation analysis is crucial for understanding indirect effects in exposure-outcome relationships.
  • Bayesian methods are well-suited for mediation analysis due to their hierarchical modeling capabilities.
  • High-dimensional mediators pose challenges for traditional mediation analysis.

Purpose of the Study:

  • To introduce an adaptive Bayesian mediation analysis method for high-dimensional mediators.
  • To apply this method to investigate racial disparities in triple-negative breast cancer (TNBC) diagnosis stage.
  • To identify environmental and clinical mediators contributing to these disparities.

Main Methods:

  • Developed an adaptive Bayesian mediation analysis incorporating adaptive Laplace priors.
  • Applied a penalization function on direct and indirect effects for robust estimation.
  • Utilized a linked dataset of TNBC patients (2010-2017) and hazardous air pollutant emissions.

Main Results:

  • The adaptive method effectively handles high-dimensional mediators and enhances statistical robustness.
  • A portion of the racial disparity in TNBC diagnosed stage was explained by identified variables.
  • Key mediators and confounders included age of diagnosis, insurance status, tumor grade, and Naphtha air concentration.

Conclusions:

  • The novel adaptive Bayesian mediation analysis provides a powerful tool for complex epidemiological studies.
  • Environmental factors, specifically Naphtha exposure, alongside clinical variables, contribute to racial disparities in TNBC.
  • This research highlights the importance of integrated environmental and clinical data for understanding health inequities.