Evidence map›Paper›PMID 40712569›Full record

ReviewCell genomics2025

How exposomic tools complement and enrich genomic research.

Konstantinos C Makris, Andrea Baccarelli, Edwin K Silverman, Robert O Wright

Abstract readReview
In one paragraph

Review in Cell genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
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  6. Review
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.

Konstantinos C MakrisCyprus International Institute for Environmental and Public Health, School of Health Sciences, Cyprus University of Technology, Limassol, Cyprus; Department of Rehabilitation Sciences, School of Health Sciences, Cyprus University of Technology, Limassol, Cyprus. Electronic address: konstantinos.makris@cut.ac.cy.
Andrea BaccarelliDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Edwin K SilvermanChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Robert O WrightDepartment of Environmental Medicine, Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Untargeted Analysis ResourceU2CES026561 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROBERT O · 2015 to 2025
$24.5M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Chris Gennings · 2014 to 2026
$21.3M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
NCATS NIH HHS UL1 TR004419NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R01 ES013744NIEHS NIH HHS U2C ES026561
6 · The paper itself

Abstract

Because genetics and the environment interact to drive gene expression, we propose that exposomics must now be incorporated into the multi-omics paradigm to complete the overall biological pathway. Exposomics' groundbreaking tools and life-course framework holistically characterize non-genetic (environment) components of chronic diseases and integrate with multi-omics. This work brings forward the importance of the human exposome as a major driver of gene/protein expression across the life course. Exposome features are noteworthy for multi-omics as they (1) show where and when biodynamic trajectories of gene x environment interactions meet; (2) move beyond single-environmental-factor-centric views; (3) integrate exposomic measurements during and outside of critical windows of susceptibility; (4) provide agnostic discovery and hypothesis-generating studies; and (5) are biodynamic over time. Upon applying these unique features of the human exposome, future human studies are anticipated to revolutionize the integration of genetics and environmental health sciences.

Indexed as

ExposomeGenomicsEnvironmental ExposureGene-Environment InteractionHumanscircadian rhythmcritical windows of susceptibilityexposomeGxE interactionsmulti-omicsmulti-omics era

Identifiers

PMID40712569
PMCPMC12366651

What OpenQuestion holds

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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.