Evidence map›Paper›PMID 38344436›Full record

ArticleExposome2024

Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs).

Ming Kei Chung, John S House, Farida S Akhtari, Konstantinos C Makris, Michael A Langston, Khandaker Talat Islam, Philip Holmes, Marc Chadeau-Hyam, Alex I Smirnov, Xiuxia Du and 7 more

Abstract read
In one paragraph

Article in Exposome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Exposomics Crosses the Rubicon: Let the Building Begin.Environmental science & technology · 2026
    Article
  10. Article
  11. Workflow for Statistical Analysis of Environmental Mixtures.Environmental health perspectives · 2026
    Review
  12. Review
  13. Article
  14. Review
  15. The exposomal imprint on rosacea: More than skin deep.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article
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

17 authors.

Ming Kei ChungDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0003-1739-1186
John S HouseBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Durham, NC, USA.ORCID https://orcid.org/0000-0002-8447-7871
Farida S AkhtariBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Durham, NC, USA.
Konstantinos C MakrisCyprus International Institute for Environmental and Public Health, School of Health Sciences, Cyprus University of Technology, Limassol, Cyprus.ORCID https://orcid.org/0000-0001-5251-8619
Michael A LangstonDepartment of Electrical Engineering and Computer Science, University of TN, Knoxville, TN, USA.
Khandaker Talat IslamDepartment of Population and Public Health Sciences, Keck School of Medicine of the University of Southern CA, Los Angeles, CA, USA.
Philip HolmesDepartment of Physics, Villanova University, Villanova, Philadelphia, USA.
Marc Chadeau-HyamDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-8341-5436
Alex I SmirnovDepartment of Chemistry, NC State University, Raleigh, NC, USA.
Xiuxia DuDepartment of Bioinformatics and Genomics, College of Computing and Informatics, University of NC at Charlotte, Charlotte, NC, USA.
Anne E ThessenDepartment of Biomedical Informatics, University of CO Anschutz Medical Campus, Aurora, CO, USA.ORCID https://orcid.org/0000-0002-2908-3327
Yuxia CuiExposure, Response, and Technology Branch, Division of Extramural Research and Training, National Institute of Environmental Health Sciences, Durham, NC, USA.
Kai ZhangDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of NY, Rensselaer, NY, USA.
Arjun K ManraiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Alison Motsinger-ReifBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Durham, NC, USA.ORCID https://orcid.org/0000-0003-1346-2493
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0002-8756-8525
Members of the Exposomics Consortium

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Statistical Services and Methods Development ResourceU2CES026555 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TEITELBAUM, SUSAN L · 2015 to 2025
$26.4M
Pilot Project ProgramP30ES020957 · NIEHS · WAYNE STATE UNIVERSITY · PI RUDEN, DOUGLAS M · 2014 to 2021
$10.1M
Methods development for "Omics" dataZIAES103337 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MOTSINGER-REIF, ALISON · 2019 to 2025
$5.5M
Data science tools to identify robust exposure-phenotype associations for precision medicineR01ES032470 · NIEHS · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR, PATEL, CHIRAG J. · 2021 to 2025
$3.5M
Role of TET1 in airway epithelium and childhood asthmaR01AI141569 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI JI, HONG · 2019 to 2023
$3.0M
The Personalized Environment and Genes StudyZIAES103394 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MOTSINGER-REIF, ALISON · 2023 to 2025
$2.7M
The confluence of extreme heat cold on the health and longevity of an Aging Population with Alzheimers and related DementiaRF1AG074372 · NIA · HARVARD MEDICAL SCHOOL · PI DOMINICI, FRANCESCA, ESTIRI, HOSSEIN · 2022 to 2023
$2.6M
The confluence of extreme heat and cold on aging and longevityR01AG074372 · NIA · HARVARD MEDICAL SCHOOL · PI Francesca Dominici, Hossein Estiri · 2025 to 2026
$1.5M
Integrating the Exposome into Longitudinal Multiomics ProfilingK08ES028825 · NIEHS · STANFORD UNIVERSITY · PI ROSE, SOPHIA MIRYAM SCHÜSSLER-FIORENZA · 2018 to 2022
$1.0M
Medical Research Council MR/S019669/1NIAID NIH HHS R01 AI141569NIA NIH HHS R01 AG074372NIA NIH HHS RF1 AG074372NIEHS NIH HHS K08 ES028825NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30 ES020957NIEHS NIH HHS R01 ES032470NIEHS NIH HHS U2C ES026555
6 · The paper itself

Abstract

This paper explores the exposome concept and its role in elucidating the interplay between environmental exposures and human health. We introduce two key concepts critical for exposomics research. Firstly, we discuss the joint impact of genetics and environment on phenotypes, emphasizing the variance attributable to shared and nonshared environmental factors, underscoring the complexity of quantifying the exposome's influence on health outcomes. Secondly, we introduce the importance of advanced data-driven methods in large cohort studies for exposomic measurements. Here, we introduce the exposome-wide association study (ExWAS), an approach designed for systematic discovery of relationships between phenotypes and various exposures, identifying significant associations while controlling for multiple comparisons. We advocate for the standardized use of the term "exposome-wide association study, ExWAS," to facilitate clear communication and literature retrieval in this field. The paper aims to guide future health researchers in understanding and evaluating exposomic studies. Our discussion extends to emerging topics, such as FAIR Data Principles, biobanked healthcare datasets, and the functional exposome, outlining the future directions in exposomic research. This abstract provides a succinct overview of our comprehensive approach to understanding the complex dynamics of the exposome and its significant implications for human health.

Indexed as

data scienceepidemiologyexposomeExposome-Wide Association Study (ExWAS)false discovery ratephenotype

Identifiers

PMID38344436
PMCPMC10857773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.