Evidence map›Paper›PMID 27717397›Full record

ArticleGenome biology2016

Prediction of gestational age based on genome-wide differentially methylated regions.

J Bohlin, S E Håberg, P Magnus, S E Reese, H K Gjessing, M C Magnus, C L Parr, C M Page, S J London, W Nystad

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 11 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

136 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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  5. Using Epigenetic Clocks to Characterize Biological Aging in Studies of Children and Childhood Exposures: a Systematic Review.Prevention science : the official journal of the Society for Prevention Research · 2023
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  17. DNA methylation as proxy of genetic, prenatal and perinatal psychiatric risk factors.medRxiv : the preprint server for health sciences · 2026
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76 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

J BohlinNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway. jon.bohlin@fhi.no.ORCID 0000-0002-0992-1311
S E HåbergNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway.
P MagnusNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway.
S E ReeseNational Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, PO Box 12233, MD A3-05, Research Triangle Park, Durham, NC, 27709, USA.
H K GjessingNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway.
M C MagnusNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway.
C L ParrNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway.
C M PageNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway.
S J LondonNational Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, PO Box 12233, MD A3-05, Research Triangle Park, Durham, NC, 27709, USA.
W NystadNorwegian Institute of Public Health, P.O. Box 4404, 0456, Oslo, Norway.

Funding

Gene-Environment Interactions in an Autism Birth CohortU01NS047537 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LIPKIN, W. IAN · 2003 to 2013
$27.0M
Genetic And Environmental Factors In Childhood Respiratory HealthZIAES049019 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI LONDON, STEPHANIE · 2009 to 2025
$6.8M
Intramural NIH HHS ZIA ES049019NIEHS NIH HHS N01 ES075558NINDS NIH HHS U01 NS047537
6 · The paper itself

Abstract

backgroundWe explored the association between gestational age and cord blood DNA methylation at birth and whether DNA methylation could be effective in predicting gestational age due to limitations with the presently used methods. We used data from the Norwegian Mother and Child Birth Cohort study (MoBa) with Illumina HumanMethylation450 data measured for 1753 newborns in two batches: MoBa 1, n = 1068; and MoBa 2, n = 685. Gestational age was computed using both ultrasound and the last menstrual period. We evaluated associations between DNA methylation and gestational age and developed a statistical model for predicting gestational age using MoBa 1 for training and MoBa 2 for predictions. The prediction model was additionally used to compare ultrasound and last menstrual period-based gestational age predictions. Furthermore, both CpGs and associated genes detected in the training models were compared to those detected in a published prediction model for chronological age.

resultsThere were 5474 CpGs associated with ultrasound gestational age after adjustment for a set of covariates, including estimated cell type proportions, and Bonferroni-correction for multiple testing. Our model predicted ultrasound gestational age more accurately than it predicted last menstrual period gestational age.

conclusionsDNA methylation at birth appears to be a good predictor of gestational age. Ultrasound gestational age is more strongly associated with methylation than last menstrual period gestational age. The CpGs linked with our gestational age prediction model, and their associated genes, differed substantially from the corresponding CpGs and genes associated with a chronological age prediction model.

Indexed as

Epigenesis, GeneticGestational AgeCohort StudiesCpG IslandsDNA MethylationFemaleGenome, HumanGenome-Wide Association StudyHumansInfant, NewbornPregnancyUltrasonography

Identifiers

PMID27717397
PMCPMC5054559

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Registered trials

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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.