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    Self-reported smoking, serum cotinine, and blood DNA methylation

    Access Status
    Fulltext not available
    Authors
    Zhang, Y.
    Florath, Ines
    Saum, K.
    Brenner, H.
    Date
    2016
    Type
    Journal Article
    
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    Citation
    Zhang, Y. and Florath, I. and Saum, K. and Brenner, H. 2016. Self-reported smoking, serum cotinine, and blood DNA methylation. Environmental Research. 146: pp. 395-403.
    Source Title
    Environ Res
    DOI
    10.1016/j.envres.2016.01.026
    School
    Epidemiology and Biostatistics
    URI
    http://hdl.handle.net/20.500.11937/43266
    Collection
    • Curtin Research Publications
    Abstract

    BACKGROUND: Epigenome-wide profiling of DNA methylation pattern with respect to tobacco smoking has given rise to a new measure of smoking exposure. We investigated the relationships of methylation markers with both cotinine, an established marker of internal smoking exposure, and self-reported smoking. METHODS: Blood DNA methylation levels across the genome and serum cotinine were measured in 1000 older adults aged 50-75 years. Epigenome-wide scans were performed to identify methylation markers associated with cotinine. The inter-dose-response relationships between the number of cigarettes smoked per day, cotinine concentration, and DNA methylation were modeled by restricted cubic spline regression. RESULTS: Of 61 CpGs that passed the genome-wide significance threshold (p<1.13×10(-7)), 40 CpGs in 25 chromosomal regions were successfully replicated, showing 0.2-3% demethylation per 10ng/ml increases in cotinine. The strongest associations were observed for several loci at AHRR, F2RL3, 2q37.1, 6p21.33, and GFI1 that were previously identified to be related to self-reported smoking. One locus at RAB34 was newly discovered. Both cotinine and methylation markers exhibited non-linear relationships with the number of cigarettes smoked per day, where the highest rates of increase in cotinine and decreases in methylation were observed at low smoking intensity (1-15 cigarettes/day) and plateaued at high smoking intensity (>15-20 cigarettes/day). A clear linear relationship was observed between cotinine concentration and methylation level. Both cotinine and methylation markers showed similar accuracy in distinguishing current from never smoker, but only methylation markers distinguished former from never smoker with high accuracy. CONCLUSIONS: Our study corroborates and expands the list of smoking-associated DNA methylation markers. Methylation levels were linearly related to cotinine concentration and provided accurate measures for both current and past smoking exposure.

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