Environmental Health Perspectives · 2013 · 133 citations · 38 references
Life SciencesMolecular BiologyEpidemiologic MethodsEpigeneticsEpigenomicsDna Methylation ProfilingEpigenetic Biomarker AnalysisEpigenetic BiomarkersEpigenetic EpidemiologyDose-response Relationships In SmokingGenome-wide Methylation AnalysisGenome-wide Methylation AssaysGenome-wide Methylation ProfilingMethylation BiomarkersMethylation QuantificationSite-specific Dna Methylation MarkersSmoking Epidemiology
BACKGROUND: Recent genome-wide DNA methylation studies have found a pronounced difference in methylation of the F2RL3 gene (also known as PAR-4) in blood DNA according to smoking exposure. Knowledge on the variation of F2RL3 methylation by various degrees of smoking exposure is still very sparse. OBJECTIVES: We aimed to assess dose-response relationships of current and lifetime active smoking exposure with F2RL3 methylation. METHODS: In a large population-based study, we quantified blood DNA methylation at F2RL3 for 3,588 participants using matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Associations of smoking exposure with methylation intensity were examined by multiple linear regression, controlling for potential confounding factors and paying particular attention to dose-response patterns with respect to current and lifetime smoking exposure as well as time since cessation of smoking. RESULTS: F2RL3 methylation intensity showed a strong association with smoking status (p < 0.0001), which persisted after controlling for potential confounding factors. Clear inverse dose-response relationships with F2RL3 methylation intensity were seen for both current intensity and lifetime pack-years of smoking. Among former smokers, F2RL3 methylation intensity increased gradually from levels close to those of current smokers for recent quitters to levels close to never smokers for long-term (> 20 years) quitters. CONCLUSIONS: F2RL3 methylation is a promising biomarker for both current and long-term past tobacco exposure, and its predictive value for smoking-related diseases warrants further exploration.
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Projections of Global Mortality and Burden of Disease from 2002 to 2030
Colin Mathers, Dejan Lončar · PLoS Medicine · 2006 · 11.5K citations · Full text
Biochemical verification of tobacco use and cessation
Neal L. Benowitz, Peyton Jacob, Karen Ahijevych et al. · Nicotine & Tobacco Research · 2002 · 1.8K citations · Full text