Abstract
The molecular mechanisms causing smoking-induced health decline are largely unknown. To elucidate the molecular pathways involved in cause and consequences of smoking behavior, we conducted a genome-wide gene expression study in peripheral blood samples targeting 18 238 genes. Data of 743 smokers, 1686 never smokers and 890 ex-smokers were available from two population-based cohorts from the Netherlands. In addition, data of 56 monozygotic twin pairs discordant for ever smoking were used. One hundred thirty-two genes were differentially expressed between current smokers and never smokers (P < 1.2 × 10(-6) , Bonferroni correction). The most significant genes were G protein-coupled receptor 15 (P < 1 × 10(-150) ) and leucine-rich repeat neuronal 3 (P < 1 × 10(-44) ). The smoking-related genes were enriched for immune system, blood coagulation, natural killer cell and cancer pathways. By taking the data of ex-smokers into account, expression of these 132 genes was classified into reversible (94 genes), slowly reversible (31 genes), irreversible (6 genes) or inconclusive (1 gene). Expression of 6 of the 132 genes (three reversible and three slowly reversible) was confirmed to be reactive to smoking as they were differentially expressed in monozygotic pairs discordant for smoking. Cis-expression quantitative trait loci for GPR56 and RARRES3 (downregulated in smokers) were associated with increased number of cigarettes smoked per day in a large genome-wide association meta-analysis, suggesting a causative effect of GPR56 and RARRES3 expression on smoking behavior. In conclusion, differential gene expression patterns in smokers are extensive and cluster in several underlying disease pathways. Gene expression differences seem mainly direct consequences of smoking, and largely reversible after smoking cessation. However, we also identified DNA variants that may influence smoking behavior via the mediating gene expression.
Original language | English |
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Pages (from-to) | 550-560 |
Number of pages | 11 |
Journal | Addiction Biology |
Volume | 22 |
Issue number | 2 |
DOIs | |
Publication status | Published - Mar 2017 |
Funding
This work was supported by the Netherlands Organization for Scientific Research (MagW/ZonMW grants 904-61-090, 985-10-002, 904-61-193, 480-04-004, 400-05-717 and 912-100-20; Spinozapremie 56-464-14192; Geestkracht program grant 10-000-1002); the Center for Medical Systems Biology (NWO Genomics), Biobanking and Biomolecular Resources Research Infrastructure, VU University's Institutes for Health and Care Research and Neuroscience Campus Amsterdam, NBIC/BioAssist/RK (2008.024); the European Science Foundation (EU/QLRT-2001-01254); the European Community's Seventh Framework Program (FP7/2007-2013); ENGAGE (HEALTH-F4-2007-201413); and the European Research Council (ERC 284167 and ERC 230374). Gene expression data were funded by the US National Institute of Mental Health (RC2 MH089951) as part of the American Recovery and Reinvestment Act of 2009. R.J. was supported by the Biobank-based Integrative Omics Study (BIOS) consortium, which is funded by the Biobanking and Biomolecular Research Infrastructure (BBMRI-NL, NWO project 184.021.007).
Funders | Funder number |
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BBMRI-NL | 184.021.007 |
Center for Medical Systems Biology | |
ENGAGE | HEALTH-F4-2007-201413 |
European Community's Seventh Framework Program | FP7/2007-2013 |
NBIC/BioAssist/RK | 2008.024 |
Netherlands Organization for Scientific Research | 480-04-004, 912-100-20, 904-61-090, 400-05-717, 904-61-193, 985-10-002 |
Spinozapremie | 10-000-1002, 56-464-14192 |
US National Institute of Mental Health | RC2 MH089951 |
VU University's Institutes for Health and Care Research and Neuroscience Campus Amsterdam | |
National Institute of Mental Health | RC2MH089951 |
European Research Council | 284167, ERC 230374 |
European Science Foundation | EU/QLRT-2001-01254 |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek |
Keywords
- Journal Article
Cohort Studies
- Netherlands Twin Register (NTR)