Evidence map›Paper›PMID 32062850›Full record

ReviewCurrent environmental health reports2020

DNA Methylation-Based Biomarkers of Environmental Exposures for Human Population Studies.

Jamaji C Nwanaji-Enwerem, Elena Colicino

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 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  6. Beyond genes: a clinician's guide to epigenetics.Breathe (Sheffield, England) · 2025
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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

2 authors.

Jamaji C Nwanaji-EnweremBelfer Center for Science and International Affairs, Harvard Kennedy School of Government, Cambridge, MA, USA.
Elena ColicinoDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 17 E 102nd St. West 3rd Floor, New York, NY, 10029, USA. elena.colicino@mssm.edu.

Funding

Mount Sinai ECHO site for Perinatal Environment and Development StudiesUH3OD023337 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2018 to 2026
$54.1M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2014 to 2026
$21.3M
Maternal trauma, circulating microRNA in extracellular vesicles, and programming of childhood respiratory outcomesR01MD013310 · NIMHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LEE, ALISON G · 2018 to 2022
$4.1M
Untargeted Analysis Research ResourceU2CES026544 · NIEHS · RESEARCH TRIANGLE INSTITUTE · PI FENNELL, TIMOTHY RAYMOND · 2015 to 2018
$3.7M
Utilizing DNA Methylation Age to Understand The Effects of Fine Particles on CognitionF31AG056124 · NIA · HARVARD MEDICAL SCHOOL · PI NWANAJI-ENWEREM, JAMAJI · 2017 to 2018
$85k
NIA NIH HHS F31 AG056124NIEHS NIH HHS P30 ES023515NIEHS NIH HHS U2C ES026544NIH HHS UH3 OD023337NIMHD NIH HHS R01 MD013310
6 · The paper itself

Abstract

purpose of reviewThis manuscript orients the reader to the underlying motivations of environmental biomarker development for human population studies and provides the foundation for applying these novel biomarkers in future research. In this review, we focus our attention on the DNA methylation-based biomarkers of (i) smoking, among adults and pregnant women, (ii) lifetime cannabis use, (iii) alcohol consumption, and (iv) cumulative exposure to lead. RECENT

findingsPrior environmental exposures and lifestyle modulate DNA methylation levels. Exposure-related DNA methylation changes can either be persistent or reversible once the exposure is no longer present, and this combination of both persistent and reversible changes has essential value for biomarker development. Here, we present available biomarkers representing past and cumulative exposures using individual DNA methylation profiles. In the present work, we describe how the field of environmental epigenetics can leverage machine learning algorithms to develop exposure biomarkers and reduce problems of misreporting exposures or limited access technology. We emphasize the crucial role of the individual DNA methylation profiles in those predictions, providing a summary of each biomarker, and highlighting their advantages, and limitations. Future research can cautiously leverage these DNA methylation-based biomarkers to understand the onset and progression of diseases.

Indexed as

DNA MethylationAdultAlcohol DrinkingEnvironmental BiomarkersEnvironmental ExposureEpigenesis, GeneticEpigenomicsFemaleHumansLeadMachine LearningMaleMarijuana UsePregnancySmokingEnvironmental BiomarkersLeadAlcoholBiomarkersCannabis useDNA methylationEnvironmental exposuresLead exposureSmoking

Identifiers

PMID32062850
PMCPMC12910356

What Socratic 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 Socratic graph.