ArticleEuropean journal of epidemiology2019
Validated inference of smoking habits from blood with a finite DNA methylation marker set.
Article in European journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.
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Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Paediatric DNA methylation profile scores: a systematic review and open-source atlas.EBioMedicine · 2026Pooled it
- Pulmonary Function and Blood DNA Methylation: A Multiancestry Epigenome-Wide Association Meta-analysis.American journal of respiratory and critical care medicine · 2022Pooled it
- Epigenetic signatures in antidepressant treatment response: a methylome-wide association study in the EMC trial.Translational psychiatry · 2022Trial
- Epigenetic fingerprints link early-onset colon and rectal cancer to pesticide exposure.Nature medicine · 2026Article
- Article
- Forensic genetics in the omics era.Nature reviews. Genetics · 2026Review
- EpiSmokEr2: a robust epigenetic classifier for smoking status inference using Illumina EPIC methylation data.Epigenomics · 2026Article
- Proteomic signatures of smoking and their associations with risk of incident diseases and mortality in diverse populations.Nature communications · 2025Article
- Pre-existing DNA methylation signatures in the prefrontal cortex of alcohol-naïve nonhuman primates define neural vulnerability for future risky ethanol consumption.Neurobiology of disease · 2025Article
- Associations of DNA Methylation Algorithms of Aging With Cardiovascular Disease and Mortality Risk Among US Older Adults.Journal of the American Heart Association · 2025Article
- Investigating Single-Molecule Molecular Inversion Probes for Medium-Scale Targeted DNA Methylation Analysis.Epigenomes · 2025Article
- Emerging PFAS contaminants PFNA and PFSA amplify epigenetic aging: sex- and age-stratified risks in an aging population.Frontiers in aging · 2025Article
- Association of marital status with DNA methylation-based biological age among US older adults.Frontiers in public health · 2025Article
- DNA methylation at AHRR as a master predictor of smoke exposure and a biomarker for sleep and exercise.Clinical epigenetics · 2024Article
- Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data.NPJ systems biology and applications · 2024Article
- Uncovering Forensic Evidence: A Path to Age Estimation through DNA Methylation.International journal of molecular sciences · 2024Review
- Linking Prenatal Environmental Exposures to Lifetime Health with Epigenome-Wide Association Studies: State-of-the-Science Review and Future Recommendations.Environmental health perspectives · 2023Review
- Epigenetic biomarkers for smoking cessation.Addiction neuroscience · 2023Article
- Characterisation of ethnic differences in DNA methylation between UK-resident South Asians and Europeans.Clinical epigenetics · 2022Article
- Derivation and validation of an epigenetic frailty risk score in population-based cohorts of older adults.Nature communications · 2022Article
Corrections and comments
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Authors and funding
29 authors.
Funding
Abstract
Inferring a person's smoking habit and history from blood is relevant for complementing or replacing self-reports in epidemiological and public health research, and for forensic applications. However, a finite DNA methylation marker set and a validated statistical model based on a large dataset are not yet available. Employing 14 epigenome-wide association studies for marker discovery, and using data from six population-based cohorts (N = 3764) for model building, we identified 13 CpGs most suitable for inferring smoking versus non-smoking status from blood with a cumulative Area Under the Curve (AUC) of 0.901. Internal fivefold cross-validation yielded an average AUC of 0.897 ± 0.137, while external model validation in an independent population-based cohort (N = 1608) achieved an AUC of 0.911. These 13 CpGs also provided accurate inference of current (average AUC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.