ArticleAging2019
Placental epigenetic clocks: estimating gestational age using placental DNA methylation levels.
Article in Aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 4 of them syntheses that pooled it.
What it found
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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.
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Who cites it
95 citing papers in PubMed, 4 syntheses or guidelines pooled it, 167 citations in OpenAlex.
- Epigenetic landscape of placental tissue in preeclampsia: a systematic review of DNA methylation profiles.BMC pregnancy and childbirth · 2025Pooled it
- Chemical and climatic environmental exposures and epigenetic aging: A systematic review.Environmental research · 2025Pooled it
- Sex-based differences in placental DNA methylation profiles related to gestational age: an NIH ECHO meta-analysis.Epigenetics · 2023Pooled it
- Accelerated epigenetic age at birth and child emotional and behavioura development in early childhood: a meta-analysis of four prospective cohort studies in ECHO.Epigenetics · 2023Pooled it
- The impact of metformin on placental ageing in humans and mice.The Journal of physiology · 2025Trial
- The length of the embryo culture in assisted reproductive technology does not have a major impact on newborn DNA methylation.Bioscience reports · 2026Article
- Sex-linked placental DNA methylation associated with early-onset preeclampsia.Research square · 2026Article
- Prenatal cell-free DNA methylome detects association with autism and maternal obesity.Communications biology · 2026Article
- Placental molecular subtypes of severe preeclampsia reveal divergent aging trajectories and fetal growth outcomes.medRxiv : the preprint server for health sciences · 2026Article
- The Evolving Landscape of Clinical Aging Clocks: From Epigenetic to Multi-Omics Integration.Aging cell · 2026Review
- DNA methylation in the placenta and household socioeconomic status: the SPAH study.Clinical epigenetics · 2026Article
- Characterizing placental dysfunction with DNA methylation profiling and placental histopathology.Placenta · 2026Article
- A comparison of differential DNA methylation analysis methods for continuous outcomes: implications for epigenetic studies.Epigenomics · 2026Article
- Benchmarking large language models for predictive modeling in biomedical research with a focus on reproductive health.Cell reports. Medicine · 2026Article
- Advances in multi-omics and aging clock research for female reproductive health and aging.MedScience · 2026Review
- Placental biology links genetic, epigenetic, ancestral, and social determinants to maternal-fetal health inequities.Frontiers in reproductive health · 2026Review
- The role of placental DNA methylation in the pathogenesis of chronic intervillositis of unknown etiology.Clinical 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
- Placental epigenetic age and adolescent blood pressure: the Extremely Low Gestational Age Newborn cohort.Pediatric research · 2025Article
- Article
35 more citing papers are in PubMed but not listed here.
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 7 institutions in 3 countries.
Funding
Abstract
The human pan-tissue epigenetic clock is widely used for estimating age across the entire lifespan, but it does not lend itself well to estimating gestational age (GA) based on placental DNAm methylation (DNAm) data. We replicate previous findings demonstrating a strong correlation between GA and genome-wide DNAm changes. Using substantially more DNAm arrays (n=1,102 in the training set) than a previous study, we present three new placental epigenetic clocks: 1) a robust placental clock (RPC) which is unaffected by common pregnancy complications (e.g., gestational diabetes, preeclampsia), and 2) a control placental clock (CPC) constructed using placental samples from pregnancies without known placental pathology, and 3) a refined RPC for uncomplicated term pregnancies. These placental clocks are highly accurate estimators of GA based on placental tissue; e.g., predicted GA based on RPC is highly correlated with actual GA (r>0.95 in test data, median error less than one week). We show that epigenetic clocks derived from cord blood or other tissues do not accurately estimate GA in placental samples. While fundamentally different from Horvath's pan-tissue epigenetic clock, placental clocks closely track fetal age during development and may have interesting applications.
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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.