A novel approach to analyzing lung cancer mortality disparities: Using the exposome and a graph-theoretical toolchain.

ABSTRACT:

Objectives

The aim is to identify exposures associated with lung cancer mortality and mortality disparities by race and gender using an exposome database coupled to a graph theoretical toolchain.

Methods

Graph theoretical algorithms were employed to extract paracliques from correlation graphs using associations between 2162 environmental exposures and lung cancer mortality rates in 2067 counties, with clique doubling applied to compute an absolute threshold of significance. Factor analysis and multiple linear regressions then were used to analyze differences in exposures associated with lung cancer mortality and mortality disparities by race and gender.

Results

While cigarette consumption was highly correlated with rates of lung cancer mortality for both white men and

SUBMITTER: Juarez PD 

PROVIDER: S-EPMC5687093 | biostudies-literature | 2017 Apr-Jun

REPOSITORIES: biostudies-literature