ArticleEnvironmental health perspectives2020
Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults.
Article in Environmental health perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.
- Paediatric DNA methylation profile scores: a systematic review and open-source atlas.EBioMedicine · 2026Pooled it
- Polymethylation scores for prenatal maternal smoke exposure persist until age 15 and are detected in saliva in the Fragile Families and Child Wellbeing cohort.Epigenetics · 2022Pooled it
- Development and Validation of a Novel Placental DNA Methylation Biomarker of Maternal Smoking during Pregnancy in the ECHO Program.Environmental health perspectives · 2024Trial
- DNA methylation as proxy of genetic, prenatal and perinatal psychiatric risk factors.medRxiv : the preprint server for health sciences · 2026Article
- DNA methylation as a biomarker of prenatal exposures: current challenges and opportunities.Environmental epigenetics · 2026Review
- Epigenetic Alterations Induced by Smoking and Their Intersection with Artificial Intelligence: A Narrative Review.International journal of environmental research and public health · 2025Review
- DNA Methylation Smoking Scores and Risk of Islet Autoimmunity and Type 1 Diabetes.Diabetes care · 2025Article
- Harnessing machine learning in contemporary tobacco research.Toxicology reports · 2025Review
- Establishment of a predictive model for spontaneous preterm birth in primiparas with grade A1 gestational diabetes mellitus.Frontiers in global women's health · 2025Article
- Developmental origins of psycho-cardiometabolic multimorbidity in adolescence and their underlying pathways through methylation markers: a two-cohort study.European child & adolescent psychiatry · 2024Article
- Prenatal exposure to maternal smoking and adult lung cancer risk: a nested case-control study using peripheral blood leukocyte DNA methylation prediction of exposure.Environmental epigenetics · 2024Article
- Linking Prenatal Environmental Exposures to Lifetime Health with Epigenome-Wide Association Studies: State-of-the-Science Review and Future Recommendations.Environmental health perspectives · 2023Review
- A novel approach to risk exposure and epigenetics-the use of multidimensional context to gain insights into the early origins of cardiometabolic and neurocognitive health.BMC medicine · 2023Article
- A comparison of feature selection methodologies and learning algorithms in the development of a DNA methylation-based telomere length estimator.BMC bioinformatics · 2023Article
- Epigenomic signatures reveal mechanistic clues and predictive markers for autism spectrum disorder.Molecular psychiatry · 2023Review
- Integrative Approaches of DNA Methylation Patterns According to Age, Sex and Longitudinal Changes.Current genomics · 2023Article
- Multi-omics signatures of the human early life exposome.Nature communications · 2022Article
- Prenatal Maternal Smoke, DNA Methylation, and Multi-omics of Tissues and Child Health.Current environmental health reports · 2022Review
- The potential of DNA methylation as a biomarker for obesity and smoking.Journal of internal medicine · 2022Review
- Impact of vitamin C supplementation on placental DNA methylation changes related to maternal smoking: association with gene expression and respiratory outcomes.Clinical epigenetics · 2021Article
Corrections and comments
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Authors and funding
15 authors at 10 institutions in 3 countries.
Funding
Abstract
backgroundFetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which therefore hold the potential to be used as a biomarker of this early life exposure. With declining costs for measuring DNA methylation, we aimed to develop a DNA methylation score that can be used on adolescent DNA methylation data and thereby generate a score for
methodsWe used machine learning methods to create a score reflecting exposure to maternal smoking during pregnancy. This score is based on peripheral blood measurements of DNA methylation (Illumina's Infinium HumanMethylation450K BeadChip). The score was developed and tested in the Raine Study with data from 995 white 17-y-old participants using 10-fold cross-validation. The score was further tested and validated in independent data from the Northern Finland Birth Cohort 1986 (NFBC1986) (16-y-olds) and 1966 (NFBC1966) (31-y-olds). Further, three previously proposed DNA methylation scores were applied for comparison. The final score was developed with 204 CpGs using elastic net regression.
resultsSensitivity and specificity values for the best performing previously developed classifier ("Reese Score") were 88% and 72% for Raine, 87% and 61% for NFBC1986 and 72% and 70% for NFBC1966, respectively; corresponding figures using the elastic net regression approach were 91% and 76% (Raine), 87% and 75% (NFBC1986), and 72% and 78% for NFBC1966.
conclusionWe have developed a DNA methylation score for exposure to maternal smoking during pregnancy, outperforming the three previously developed scores. One possible application of the current score could be for model adjustment purposes or to assess its association with distal health outcomes where part of the effect can be attributed to maternal smoking. Further, it may provide a biomarker for fetal exposure to maternal smoking. https://doi.org/10.1289/EHP6076.
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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.