ArticleClinical epigenetics2021
An EPIC predictor of gestational age and its application to newborns conceived by assisted reproductive technologies.
Article in Clinical epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed, 54 citations in OpenAlex.
- Immune pathways and prenatal/perinatal environmental exposures contribute to epigenetic gestational age prediction and acceleration.Epigenetics · 2026Article
- The length of the embryo culture in assisted reproductive technology does not have a major impact on newborn DNA methylation.Bioscience reports · 2026Article
- RAMEN: Dissecting individual, additive and interactive gene-environment contributions to DNA methylome variability in cord blood.Genome biology · 2025Article
- A polyepigenetic glucocorticoid exposure score and HPA axis-related DNA methylation are associated with gestational epigenetic aging.Epigenetics · 2025Article
- Analysis of prenatal medication use and placental epigenetic gestational age in extremely low gestational age newborns (ELGANs) highlight relationships to aspirin use during pregnancy.Clinical epigenetics · 2025Article
- Child and adolescent internalizing and externalizing traits, and epigenetic summary scores: A scoping review.Biological psychology · 2025Article
- In-utero exposure to maternal diabetes and DNA methylation alterations in the Next Generation birth cohort.Clinical epigenetics · 2025Article
- Epigenetic clocks and DNA methylation biomarkers of brain health and disease.Nature reviews. Neurology · 2025Review
- Review
- The association of prenatal ambient air pollution with placental epigenetic gestational age at birth.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Epigenome-wide association study of placental co-methylated regions in newborns for prenatal opioid exposure.Environmental epigenetics · 2025Article
- MinLinMo: a minimalist approach to variable selection and linear model prediction.BMC bioinformatics · 2024Article
- Associations of epigenetic age acceleration at birth and age 12 years with adolescent cardiometabolic risk: the HOME study.Clinical epigenetics · 2024Article
- Prenatal exposure to genocide and subsequent adverse childhood events are associated with DNA methylation of SLC6A4, BDNF, and PRDM8 in early adulthood in Rwanda.Scientific reports · 2024Article
- Prenatal exposure to common infections and newborn DNA methylation: A prospective, population-based study.Brain, behavior, and immunity · 2024Article
- Epigenetic Clock at Birth and Childhood Blood Pressure Trajectory: A Prospective Birth Cohort Study.Hypertension (Dallas, Tex. : 1979) · 2024Article
- Newborn DNA methylation age differentiates long-term weight trajectories: the Boston Birth Cohort.BMC medicine · 2024Article
- Gestational epigenetic age and ADHD symptoms in childhood: a prospective, multi-cohort study.Molecular psychiatry · 2024Article
- Gestational DNA methylation age as a marker for fetal development and birth outcomes: findings from the Boston Birth Cohort.Clinical epigenetics · 2024Article
- Prenatal stress and gestational epigenetic age: No evidence of associations based on a large prospective multi-cohort study.Research square · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 4 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGestational age is a useful proxy for assessing developmental maturity, but correct estimation of gestational age is difficult using clinical measures. DNA methylation at birth has proven to be an accurate predictor of gestational age. Previous predictors of epigenetic gestational age were based on DNA methylation data from the Illumina HumanMethylation 27 K or 450 K array, which have subsequently been replaced by the Illumina MethylationEPIC 850 K array (EPIC). Our aims here were to build an epigenetic gestational age clock specific for the EPIC array and to evaluate its precision and accuracy using the embryo transfer date of newborns from the largest EPIC-derived dataset to date on assisted reproductive technologies (ART).
methodsWe built an epigenetic gestational age clock using Lasso regression trained on 755 randomly selected non-ART newborns from the Norwegian Study of Assisted Reproductive Technologies (START)-a substudy of the Norwegian Mother, Father, and Child Cohort Study (MoBa). For the ART-conceived newborns, the START dataset had detailed information on the embryo transfer date and the specific ART procedure used for conception. The predicted gestational age was compared to clinically estimated gestational age in 200 non-ART and 838 ART newborns using MM-type robust regression. The performance of the clock was compared to previously published gestational age clocks in an independent replication sample of 148 newborns from the Prediction and Prevention of Preeclampsia and Intrauterine Growth Restrictions (PREDO) study-a prospective pregnancy cohort of Finnish women.
resultsOur new epigenetic gestational age clock showed higher precision and accuracy in predicting gestational age than previous gestational age clocks (R
conclusionsWe present the first EPIC-based predictor of gestational age and demonstrate its robustness and precision in ART and non-ART newborns. As more datasets are being generated on the EPIC platform, this clock will be valuable in studies using gestational age to assess neonatal development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.