A whole blood gene expression-based signature for smoking status.

ABSTRACT:

Background

Smoking is the leading cause of preventable death worldwide and has been shown to increase the risk of multiple diseases including coronary artery disease (CAD). We sought to identify genes whose levels of expression in whole blood correlate with self-reported smoking status.

Methods

Microarrays were used to identify gene expression changes in whole blood which correlated with self-reported smoking status; a set of significant genes from the microarray analysis were validated by qRT-PCR in an independent set of subjects. Stepwise forward logistic regression was performed using the qRT-PCR data to create a predictive model whose performance was validated in an independent set of subjects and compared to cotinine, a nicotine metabolite.

Results

Microarray ana

SUBMITTER: Beineke P 

PROVIDER: S-EPMC3538056 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature