Cited by 21Epigenetics and DNA MethylationChild and Adolescent Psychosocial and Emotional DevelopmentBirth, Development, and Health

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Transformative Role of Epigenetics in Child Development Research: Commentary on the Special Section

Open access
Keating, Daniel P·2016·Child Development

Abstract

Lester, Conradt, and Marsit (2016) have assembled a set of articles that bring to readers of Child Development the scope and impact of the exponentially growing research on epigenetics and child development. This commentary aims to place this work in a broader context of theory and research by (a) providing a conceptual framework for developmental scientists who may be only moderately familiar with this emergent field; (b) considering these contributions in relation to the current status of work, highlighting its transformative nature; (c) suggesting cautions to keep in mind, while simultaneously clarifying that these do not undermine important new insights; and (d) identifying the prospects for future work that builds on the progress reflected in this special section.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/cdev.12488

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 29

  1. Barr, 2015, Decoding the non-coding genome: Elucidating genetic risk outside the coding genome, Genes, Brain, and Behavior, 10.1111/gbb.12269 · DOI
  2. Beach, 2016, Child Development, 87, 111, 10.1111/cdev.12486 · DOI
  3. Boyce, 2004, A life course approach to chronic disease epidemiology, 415, 10.1093/acprof:oso/9780198578154.003.0018 · DOI
  4. Boyce, 2012, Toward a new biology of social adversity, Proceedings of the National Academy of Sciences of the United States of America, 109, 17143, 10.1073/pnas.1121264109 · DOI · Paper page
  5. Champagne, 2013, Early environments, glucocorticoid receptors, and behavioral epigenetics, Behavioral Neuroscience, 127, 628, 10.1037/a0034186 · DOI
  6. Conradt, 2015, Prenatal predictors of infant self-regulation: The contributions of placental DNA methylation of NR3C1 and neuroendocrine activity, Frontiers in Behavioral Neuroscience, 9, 130, 10.3389/fnbeh.2015.00130 · DOI
  7. Conradt, 2016, NR3C1: The contributions of maternal sensitivity and maternal depressive symptoms to epigenetic processes and neuroendocrine functioning, Child Development, 87, 73, 10.1111/cdev.12483 · DOI
  8. Dolinoy, 2008, Environmental epigenomics in human health and disease, Environmental and Molecular Mutagenesis, 49, 4, 10.1002/em.20366 · DOI
  9. Essex, 2013, Epigenetic vestiges of early developmental adversity: Childhood stress exposure and DNA methylation in adolescence, Child Development, 84, 58, 10.1111/j.1467-8624.2011.01641.x · DOI · Paper page
  10. Goodrich, 2015, Quality control and statistical modeling for environmental epigenetics: A study on in utero lead exposure and DNA methylation at birth, Epigenetics, 10, 19, 10.4161/15592294.2014.989077 · DOI
  11. Keating, 2009, Successful societies: Institutions, cultural repertoires and population health, 53, 10.1017/CBO9780511816192.004 · DOI
  12. Keating, 2011, Nature and nurture in early child development
  13. Keating, The stress gene: The lifelong impact of early life adversity—and how to break the cycle
  14. Keating, 1999, Developmental health and the wealth of nations: Social, biological, and educational dynamics
  15. Keating, 2013, Social resilience in the neo-liberal era
  16. Lester, 2016, Introduction to the special section on epigenetics, Child Development, 87, 29, 10.1111/cdev.12489 · DOI
  17. Monk, 2012, Linking prenatal maternal adversity to developmental outcomes in infants: The role of epigenetic pathways, Developmental Psychopathology, 24, 1361, 10.1017/S0954579412000764 · DOI
  18. Montirosso, 2016, Serotonin transporter gene (SLC6A4) methylation associates with NICU stay and 3-month-old temperament in preterm infants, Child Development, 87, 38, 10.1111/cdev.12492 · DOI
  19. Nahar, 2014, Bisphenol A-associated alterations in the expression and epigenetic regulation of genes encoding xenobiotic metabolizing enzymes in human fetal liver, Environmental and Molecular Mutagenesis, 55, 184, 10.1002/em.21823 · DOI
  20. Naumova, 2016, Epigenetic patterns modulate the connection between developmental dynamics of parenting and offspring psychosocial adjustment, Child Development, 87, 98, 10.1111/cdev.12485 · DOI
  21. Parade, 2016, Methylation of the glucocorticoid receptor gene promoter in preschoolers: Links with internalizing behavior problems, Child Development, 87, 86, 10.1111/cdev.12484 · DOI
  22. Sen, 2015, Early life lead exposure causes gender-specific changes in the DNA methylation profile of DNA extracted from dried blood spots, Epigenomics, 7, 379, 10.2217/epi.15.2 · DOI
  23. Skinner, 2015, Environmental epigenetics and a unified theory of the molecular aspects of evolution: A neo-Lamarckian concept that facilitates neo-Darwinian evolution, Genome Biology and Evolution, 7, 1296, 10.1093/gbe/evv073 · DOI · Paper page
  24. Smearman, 2016, Oxytocin receptor genetic and epigenetic variation: Association with child abuse and adult psychiatric symptoms, Child Development, 87, 122, 10.1111/cdev.12493 · DOI · Paper page
  25. Steenaard, 2015, Tobacco smoking is associated with methylation of genes related to coronary artery disease, Clinical Epigenetics, 7, 54, 10.1186/s13148-015-0088-y · DOI
  26. Stroud, 2016, Epigenetic regulation of placental NR3C1: Mechanism underlying prenatal programming of infant neurobehavior by maternal smoking?, Child Development, 87, 49, 10.1111/cdev.12482 · DOI
  27. Szyf, 2013, DNA methylation, behavior and early life adversity, Journal of Genetics and Genomics, 40, 331, 10.1016/j.jgg.2013.06.004 · DOI
  28. Szyf, 2008, The social environment and the epigenome, Environmental and Molecular Mutagenesis, 49, 46, 10.1016/j.jgg.2013.06.004 · DOI
  29. Webb, 2001, Mechanisms of postnatal neurobiological development: Implications for human development, Developmental Neuropsychology, 19, 147, 10.1207/S15326942DN1902_2 · DOI · Paper page

Cited by

Sorted by citations

See all 21

Metadata

Authors
Keating, D. P.
Affiliations
University of Michigan (US)
Corresponding author
Keating, Daniel P
Venue
Child Development
Published
2016-01-01
Volume
87
Issue
1
Pages
135-142
ISSN
  • 0009-3920 (ISSN-L)
  • 1467-8624
OpenAlex
W2335339576
Cited by
21
References
5
Citations by year
2025: 1 · 2024: 1 · 2022: 2 · 2021: 3 · 2019: 4 · 2018: 3 · 2017: 4 · 2016: 3
FWCI
0.42
Type
journal article
Language
en
Open access
Locations
  • Child Development (publishedVersion)
  • PubMed (publishedVersion)
  • Deep Blue (University of Michigan) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
Keywords
epigenetics, developmental theory, conceptual framework, future research directions
MeSH terms
Child, Child Development, Humans, Epigenesis, Genetic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review