4.5 Article

A whole-blood transcriptome meta-analysis identifies gene expression signatures of cigarette smoking

Journal

HUMAN MOLECULAR GENETICS
Volume 25, Issue 21, Pages 4611-4623

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddw288

Keywords

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Funding

  1. National Institutes of Health [N01-HC-25195 HHSN268201500001I, 1RO1 HL64753, R01 HL076784, 1 R01 AG028321]
  2. Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health
  3. Division of Intramural Research, National Heart, Lung, and Blood Institute
  4. Center for Information Technology, National Institutes of Health, Bethesda, MD
  5. Italian Ministry of Health [ICS110.1/RF97.71]
  6. U.S. National Institute on Aging [263 MD 9164, 263 MD 821336]
  7. Erasmus Medical Center and Erasmus University, Rotterdam
  8. Netherlands Organization for the Health Research and Development (ZonMw)
  9. Netherlands Organisation of Scientific Research NWO Investments [175.010.2005.011, 911-03-012]
  10. Research Institute for Diseases in the Elderly [014-93-015, RIDE2]
  11. Ministry of Education, Culture and Science
  12. Ministry for Health, Welfare and Sports
  13. European Commission (DG XII)
  14. Municipality of Rotterdam
  15. Human Genotyping Facility of the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, the Netherlands
  16. Federal Ministry of Education and Research [01ZZ9603, 01ZZ0103, 01ZZ0403, 03IS2061A, 03ZIK012]
  17. Ministry of Cultural Affairs
  18. Social Ministry of the Federal State of Mecklenburg-West Pomerania
  19. Helmholtz Zentrum Munchen - German Research Center for Environmental Health
  20. German Federal Ministry of Education and Research (BMBF)
  21. State of Bavaria
  22. Munich Center of Health Sciences (MC Health)
  23. Ludwig-Maximilians-Universitat, as part of LMUinnovativ
  24. German Federal Ministry of Health (BMG)
  25. Ministry of Innovation, Science, Research and Technology (MIWF) of the State North Rhine-Westphalia
  26. Estonian Genome Center of University of Tartu by the Targeted Financing from the Estonian Ministry of Science and Education [SF0180142s08]
  27. Development Fund of the University of Tartu (grant SP1GVARENG)
  28. European Regional Development Fund to the Centre of Excellence in Genomics (EXCEGEN) [3.2.0304.11-0312]
  29. FP7 grant [313010]
  30. [1P50HL120163]

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Cigarette smoking is a leading modifiable cause of death worldwide. We hypothesized that cigarette smoking induces extensive transcriptomic changes that lead to target-organ damage and smoking-related diseases. We performed a meta-analysis of transcriptome-wide gene expression using whole blood-derived RNA from 10,233 participants of European ancestry in six cohorts (including 1421 current and 3955 former smokers) to identify associations between smoking and altered gene expression levels. At a false discovery rate (FDR)<0.1, we identified 1270 differentially expressed genes in current vs. never smokers, and 39 genes in former vs. never smokers. Expression levels of 12 genes remained elevated up to 30 years after smoking cessation, suggesting that the molecular consequence of smoking may persist for decades. Gene ontology analysis revealed enrichment of smoking-related genes for activation of platelets and lymphocytes, immune response, and apoptosis. Many of the top smoking-related differentially expressed genes, including LRRN3 and GPR15, have DNA methylation loci in promoter regions that were recently reported to be hypomethylated among smokers. By linking differential gene expression with smoking-related disease phenotypes, we demonstrated that stroke and pulmonary function show enrichment for smoking-related gene expression signatures. Mediation analysis revealed the expression of several genes (e.g. ALAS2) to be putative mediators of the associations between smoking and inflammatory biomarkers (IL6 and C-reactive protein levels). Our transcriptomic study provides potential insights into the effects of cigarette smoking on gene expression in whole blood and their relations to smoking-related diseases. The results of such analyses may highlight attractive targets for treating or preventing smoking-related health effects.

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