Evidence map›Paper›PMID 36617164›Full record

ArticleHuman molecular genetics2023

Epigenetic gestational age and the relationship with developmental milestones in early childhood.

Kristen J Polinski, Sonia L Robinson, Diane L Putnick, Weihua Guan, Jessica L Gleason, Sunni L Mumford, Rajeshwari Sundaram, Pauline Mendola, Stephanie London, Edwina H Yeung

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  12. Biomarkers of aging through the life course: A Recent Literature Update.Current opinion in epidemiology and public health · 2023
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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 at 4 institutions in 1 country.

Kristen J PolinskiEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20817, USA.
Sonia L RobinsonEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20817, USA.
Diane L PutnickEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20817, USA.
Weihua GuanDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA.
Jessica L GleasonEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20817, USA.
Sunni L MumfordEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20817, USA.
Rajeshwari SundaramEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20817, USA.
Pauline MendolaDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY 14214, USA.
Stephanie LondonEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC 27709, USA.
Edwina H YeungEpidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20817, USA.ORCID 0000-0002-3851-2613
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USNational Institutes of Health · USUniversity at Buffalo, State University of New York · USUniversity of Minnesota · US

Funding

Infertility Treatment, Child Growth and Development Through Age Three YearsZIAHD008826 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2009 to 2025
$9.4M
Upstate KIDS Follow-Up StudyZIAHD008949 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI YEUNG, EDWINA · 2015 to 2025
$4.8M
Statistical Modeling of Human FecundityZIAHD008883 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SUNDARAM, RAJESHWARI · 2009 to 2025
$3.6M
NICHD NIH HHS HHSN267200700019CNICHD NIH HHS HHSN275201200005CNICHD NIH HHS HHSN275201300026INICHD NIH HHS HHSN275201400013CNIEHS NIH HHS
6 · The paper itself

Abstract

Shorter gestational age (GA) is a risk factor of developmental delay. GA is usually estimated clinically from last menstrual period and ultrasound. DNA methylation (DNAm) estimates GA using sets of cytosine-guanine-sites coupled with a clock algorithm. Therefore, DNAm-estimated GA may better reflect biological maturation. A DNAm GA greater than clinical GA, known as gestational age acceleration (GAA), may indicate epigenetic maturity and holds potential as an early biomarker for developmental delay risk. We used data from the Upstate KIDS Study to examine associations of DNAm GA and developmental delay within the first 3 years based on the Ages & Stages Questionnaire® (n = 1010). We estimated DNAm GA using two clocks specific to the Illumina Methylation EPIC 850K, the Haftorn clock and one developed from the Effects of Aspirin in Gestation and Reproduction study, in which women were followed to detect pregnancy at the earliest time possible. Among singletons, each week increase in DNAm GA was protective for overall delay (odds ratio:0.74; 95% confidence interval:0.61-0.90) and delay in all domains except for problem-solving skills. Among twins, we observed similar point estimates but lower precision. Results were similar for clinical GA. GAA was largely not associated with developmental delays. In summary, either DNAm GA or clinical GA at birth, but not epigenetic maturity (i.e. GAA), was associated with decreased odds of developmental delay in early childhood. Our study does not support using DNAm GA or GAA as separate risk factors for future risk of developmental delay within the first 3 years of age.

Indexed as

DNA MethylationEpigenesis, GeneticAgingChild, PreschoolEpigenomicsFemaleGestational AgeHumansInfant, NewbornPregnancyTwins

Identifiers

PMID36617164
PMCPMC10117157
OpenAlexW4313707010

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.