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  5. A Whole-Blood Transcriptome Meta-Analysis Identifies Gene Expression Signatures of Cigarette Smoking

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Article
en
2016

A Whole-Blood Transcriptome Meta-Analysis Identifies Gene Expression Signatures of Cigarette Smoking

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0 Files

en
2016
Vol 25 (21)
Vol. 25
DOI: 10.1093/hmg/ddw288

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Emelia Benjamin
Emelia Benjamin

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Tianxiao Huan
Roby Joehanes
Claudia Schurmann
+30 more

Abstract

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.

How to cite this publication

Tianxiao Huan, Roby Joehanes, Claudia Schurmann, Katharina Schramm, Luke C. Pilling, Marjolein J. Peters, Reedik Mägi, Dawn L. DeMeo, George O'connor, Luigi Ferrucci, Alexander Teumer, Georg Homuth, Reiner Biffar, Uwe Völker, Christian Herder, Mélanie Waldenberger, Annette Peters, Sonja Zeilinger, Andres Metspalu, Albert Hofman, André G. Uitterlinden, Dena Hernandez, Andrew Singleton, Stefania Bandinelli, Peter J. Munson, Honghuang Lin, Emelia Benjamin, Tõnu Esko, Hans J. Grabe, Holger Prokisch, Joyce B. J. van Meurs, David Melzer, Daniel Levy (2016). A Whole-Blood Transcriptome Meta-Analysis Identifies Gene Expression Signatures of Cigarette Smoking. , 25(21), DOI: https://doi.org/10.1093/hmg/ddw288.

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Publication Details

Type

Article

Year

2016

Authors

33

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1093/hmg/ddw288

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