Evidence map›Paper›PMID 42124617›Full record

ArticlebioRxiv : the preprint server for biology2026

Differential Methylation by Early Life Adversity in the Future of Families Child Wellbeing Study.

Siena Dumas Ang, Samantha Chin, Lisa M Schneper, Rachel A Johnston, Kalsea J Koss, Colter Mitchell, Daniel A Notterman, Barbara E Engelhardt, Catherine Jensen Peña

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Siena Dumas AngLewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544.ORCID 0000-0003-2134-7938
Samantha ChinDepartment of Computer Science, Princeton University, Princeton, NJ 08544.
Lisa M SchneperDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544.
Rachel A JohnstonZoo New England, Boston, MA 02121.
Kalsea J KossDepartment of Human Development and Family Science, University of Georgia, GA, 30602.
Colter MitchellInstitute for Social Research, University of Michigan, Ann Arbor, MI, 48104.
Daniel A NottermanDepartment of Molecular Biology, Princeton University, Princeton, NJ 08544.
Barbara E EngelhardtDepartment of Computer Science, Princeton University, Princeton, NJ 08544.
Catherine Jensen PeñaPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08544.ORCID 0000-0002-2884-5035

Funding

Reciprocal Genetic-Environmental Interactions During Childhood and AdolescenceR01HD076592 · NICHD · PRINCETON UNIVERSITY · PI NOTTERMAN, DANIEL A. · 2013 to 2023
$6.8M
Epigenetic Mediation of Adverse Social Context on Stress Response, Socioemotional Development, and Health in a Population-based Study of Minority and Low SES Children and AdolescentsR01MD011716 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MITCHELL, COLTER M.S. · 2017 to 2022
$4.6M
Fragile Families: The Third GenerationR01HD103669 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOTTERMAN, DANIEL A., REICHMAN, NANCY E · 2021 to 2025
$4.0M
Epigenetic priming of response to future stressorsR01MH129643 · NIMH · PRINCETON UNIVERSITY · PI Catherine Jensen Pena · 2022 to 2026
$3.8M
Effects of poverty on affective development: A multi-level, longitudinal studyR01MH103761 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MONK, CHRISTOPHER STEPHEN · 2014 to 2018
$3.3M
A kinetic framework to map the genetic determinants of alternative RNA isoform expressionR01HG012967 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Barbara Engelhardt, Athma A Pai · 2023 to 2026
$3.0M
Methods to build and annotate tissue atlases using spatial genomic dataR01HG013736 · NHGRI · J. DAVID GLADSTONE INSTITUTES · PI Barbara Engelhardt · 2024 to 2026
$2.5M
NHGRI NIH HHS R01 HG012967NHGRI NIH HHS R01 HG013736NICHD NIH HHS R01 HD076592NICHD NIH HHS R01 HD103669NIMHD NIH HHS R01 MD011716NIMH NIH HHS R01 MH103761NIMH NIH HHS R01 MH129643
6 · The paper itself

Abstract

Early life adversity (ELA) has a well-established link to mental health disorders later in life, yet the molecular mechanisms behind this relationship are incompletely understood. The Future of Families Child Wellbeing Study (FFCWS) provides an opportunity to examine experience encoding in the genome through functional changes in DNA methylation (DNAm) in a cohort enriched in subjects exposed to ELA. We investigated epigenome-wide differences in DNAm across thirteen early-life exposures in salivary samples from FFCWS participants. We calculated differential methylation associations with disease-linked genetic variants, evaluated tissue-specific gene expression, and assessed the persistence of DNAm changes from ages 9 to 15 years. Using data from the mSTARR-seq assay, we characterized methylation-dependent regulatory activity. Differential methylation in the FFCWS validated prior results and identified new genomic regions associated with child adversity. Differential methylation occurs in genomic regions likely to impact gene expression, and affected genes are expressed in disease-relevant tissues. We also identified association of genetic variants associated with downstream disorders near differential methylation, including depression, alcohol and substance use, and anxiety disorders. Overall, cumulative ELA is associated with specific DNAm changes, functional regulation, and persistence over time. Our findings indicate that ELA-associated differential methylation in the FFCWS does not simply occur at random, but in genomic regions that are functional. Our results support the conclusion that altered DNAm represents a biological link between early life experience and later health outcomes.

Identifiers

PMID42124617
PMCPMC13160165

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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.