Abstract
Background
It is unclear if smoking-related DNA methylation represents a causal pathway between smoking and risk of lung cancer. We sought to identify novel smoking-related DNA methylation sites in blood, with repeated measurements, and to appraise the putative role of DNA methylation in the pathway between smoking and lung cancer development.
Methods
We derived a nested case-control study from the Trøndelag Health Study (HUNT), including 140 incident patients who developed lung cancer during 2009–13 and 140 controls. We profiled 850 K DNA methylation sites (Illumina Infinium EPIC array) in DNA extracted from blood that was collected in HUNT2 (1995–97) and HUNT3 (2006–08) for the same individuals. Epigenome-wide association studies (EWAS) were performed for a detailed smoking phenotype and for lung cancer. Two-step Mendelian randomization (MR) analyses were performed to assess the potential causal effect of smoking on DNA methylation as well as of DNA methylation (13 sites as putative mediators) on risk of lung cancer.
Results
The EWAS for smoking in HUNT2 identified associations at 76 DNA methylation sites (P < 5 × 10–8), including 16 novel sites. Smoking was associated with DNA hypomethylation in a dose-response relationship among 83% of the 76 sites, which was confirmed by analyses using repeated measurements from blood that was collected at 11 years apart for the same individuals. Two-step MR analyses showed evidence for a causal effect of smoking on DNA methylation but no evidence for a causal link between DNA methylation and the risk of lung cancer.
Conclusions
DNA methylation modifications in blood did not seem to represent a causal pathway linking smoking and the lung cancer risk.
| Original language | English |
|---|---|
| Article number | dyab044 |
| Pages (from-to) | 1482-1497 |
| Number of pages | 16 |
| Journal | International Journal of Epidemiology |
| Volume | 50 |
| Issue number | 5 |
| Early online date | 17 Mar 2021 |
| DOIs | |
| Publication status | Published - 10 Nov 2021 |
Bibliographical note
Funding Information:This work was supported by the Norwegian Cancer Society (project ID 182688-2016) and the Research Council of Norway Gaveforsterkning. Y.Q.S. was supported by a Researcher grant from the Liaison Committee for education, research and innovation in Central Norway (project ID 2018/42794). R.C.R. is a de Pass VC Research Fellow at the University of Bristol. T.B. is funded by a Wellcome Trust PhD studentship (203746). A.D.B. would like to acknowledge funding from the Wellcome PhD training fellowship for clinicians (204979/Z/16/Z), the Edinburgh Clinical Academic Track (ECAT). R.C.R. and C.L.R. are supported by a Cancer Research UK programme grant (C18281/A19169) and R.C.R., J.L.M., M.S., C.L.R. and T.B. are all members of the MRC Integrative Epidemiology Unit at the University of Bristol supported by the UK Medical Research Council (MC_UU00011/5)
Publisher Copyright:
© 2021 The Author(s) 2021. Published by Oxford University Press on behalf of the International Epidemiological Association.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- causal inference
- EWAS
- Mendelian randomization
- smoking
- DNA methylation
- lung cancer
- Mendelian randomization analysis
- epigenome-wide association study
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