Evidence map›Paper›PMID 32794033›Full record

ReviewCurrent environmental health reports2020

Cell Types in Environmental Epigenetic Studies: Biological and Epidemiological Frameworks.

Kyle A Campbell, Justin A Colacino, Sung Kyun Park, Kelly M Bakulski

Abstract readReview
In one paragraph

Review in Current environmental health reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational
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

4 authors.

Kyle A CampbellDepartment of Epidemiology, University of Michigan School of Public Health, University of Michigan, Ann Arbor, MI, USA. bakulski@umich.edu.ORCID https://orcid.org/0000-0002-1836-0341
Justin A ColacinoDepartment of Environmental Health Sciences, University of Michigan School of Public Health, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0002-5882-4569
Sung Kyun ParkDepartment of Epidemiology, University of Michigan School of Public Health, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0001-9981-6250
Kelly M BakulskiDepartment of Epidemiology, University of Michigan School of Public Health, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0002-9605-6337

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI HARRIS, SEAN M · 2010 to 2024
$38.6M
Understanding Breastfeeding Practices Among ECHO Cohort Participants Before and During/After the COVID-19 PandemicUH3OD023285 · OD · MICHIGAN STATE UNIVERSITY · PI Charles James Barone, MICHAEL R. ELLIOTT · 2018 to 2026
$24.5M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Prenatal Exposures and Child Health Outcomes: A Statewide StudyUG3OD023285 · OD · MICHIGAN STATE UNIVERSITY · PI BARONE, CHARLES JAMES, ELLIOTT, MICHAEL R. · 2016 to 2024
$12.9M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2016 to 2020
$10.1M
Diversity SupplementR01ES028802 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 2018 to 2026
$4.8M
DNA Methylation, Genetics, and Modifiable Risk Factors of Dementia in a Nationally Representative, Multi-Ethnic Cohort - Diversity SupplementR01AG067592 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAKULSKI, KELLY, WARE, ERIN BAKSHIS · 2020 to 2025
$3.8M
Racial inequalities in health throughout adulthood: The cumulative impact of neighborhood chemical and non-chemical stressors on epigenomic pathwaysR01MD013299 · NIMHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HICKEN, MARGARET TAKAKO · 2018 to 2022
$3.7M
Perinatal Exposures, Tissue- and Cell-specific Epigenomics, & Lifecourse OutcomesU01ES026697 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOLINOY, DANA · 2016 to 2019
$3.6M
Prenatal exposure to metals and risk for Autism Spectrum Disorder in MARBLES and EARLIR01ES025531 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI VOLK, HEATHER E · 2016 to 2020
$3.2M
NCI NIH HHS P30 CA046592NHGRI NIH HHS T32 HG000040NIA NIH HHS P30 AG053760NIA NIH HHS R01 AG055406NIA NIH HHS R01 AG067592NIEHS NIH HHS P30 ES017885NIEHS NIH HHS P42 ES017198NIEHS NIH HHS R01 ES025531NIEHS NIH HHS R01 ES025574NIEHS NIH HHS R01 ES028802NIEHS NIH HHS U01 ES026697NIH HHS UG3 OD023285NIH HHS UH3 OD023285NIMHD NIH HHS R01 MD013299
6 · The paper itself

Abstract

purpose of reviewThis article introduces the roles of perinatal DNA methylation in human health and disease, highlights the challenges of tissue and cellular heterogeneity to studying DNA methylation, summarizes approaches to overcome these challenges, and offers recommendations in conducting research in environmental epigenetics. RECENT

findingsEpigenetic modifications are essential for human development and are labile to environmental influences, especially during gestation. Epigenetic dysregulation is also a hallmark of multiple diseases. Environmental epigenetic studies routinely measure DNA methylation in readily available tissues. However, tissues and cell types exhibit specific epigenetic patterning and heterogeneity between samples complicates epigenetic studies. Failure to account for cell-type heterogeneity limits identification of biological mechanisms and biases study results. Tissue-level epigenetic measures represent a convolution of epigenetic signals from individual cell types. Tissue-specific epigenetics is an evolving field and the use of disease-affected target, surrogate, or multiple tissues has inherent trade-offs and affects inference. Likewise, experimental and bioinformatic approaches to accommodate cell-type heterogeneity have varying assumptions and inherent trade-offs that affect inference. The relationships between exposure, disease, tissue-level DNA methylation, cell type-specific DNA methylation, and cell-type heterogeneity must be carefully considered in study design and analysis. Causal diagrams can inform study design and analytic strategies. Properly addressing cell-type heterogeneity limits sources of potential bias, avoids misinterpretation of study results, and allows investigators to distinguish shifts in cell-type proportions from direct changes to cellular epigenetic programming, both of which provide insights into environmental disease etiology and aid development of novel methods for prevention and treatment.

Indexed as

Epigenesis, GeneticMaternal ExposureDNA MethylationEnvironmental ExposureEpigenomicsFemaleGene-Environment InteractionHumansPregnancyPrenatal Exposure Delayed EffectsCellular heterogeneityDNA methylationEnvironmentEpidemiologyEpigeneticsTissue

Identifiers

PMID32794033
PMCPMC7493967

What OpenQuestion holds

Textmetadata
LicenceTDM
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.