Evidence map›Paper›PMID 41101673›Full record

ArticleEnvironmental research2025

Exposome-wide associations and polyexposure risks of workplace chemical exposures on adult asthma: The Personalized Environment and Genes Study (PEGS).

Yujing Chen, Farida S Akhtari, Yixuan He, Lihang Yu, Vy Kim Nguyen, Martin Tsz-Ki Tsui, Yuki Mizuno, William E Funk, Crystal Ying Chan, Lap Ah Tse and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Environmental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Yujing ChenThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Farida S AkhtariBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Durham, NC, USA.
Yixuan HeDepartment of Epidemiology, University of Texas Health Science Center at Houston, Houston, TX, USA; Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX, USA.
Lihang YuThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Vy Kim NguyenDepartment of Environmental Heath Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Martin Tsz-Ki TsuiSchool of Life Sciences, State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China.
Yuki MizunoDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, USA.
William E FunkDepartment of Preventive Medicine, Northwestern University, Chicago, IL, USA.
Crystal Ying ChanThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Lap Ah TseThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Kin Fai HoThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Harvard University, Boston, MA, USA.
Alison Motsinger-ReifBiostatistics and Computational Biology Branch, Division of Intramural Research, National Institute of Environmental Health Sciences, Durham, NC, USA.
Ming Kei ChungThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China; Department of Earth and Environmental Sciences, The Chinese University of Hong Kong, Hong Kong, China. Electronic address: jake.chung@cuhk.edu.hk.

Funding

The Personalized Environment and Genes StudyZIAES103394 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MOTSINGER-REIF, ALISON · 2023 to 2025
$2.7M
Intramural NIH HHS ZIA ES103394
6 · The paper itself

Abstract

Many potential occupational asthmagens remain unrecognized, and their co-exposure risks are underestimated. We conducted an exposome-wide association study (ExWAS) to systematically explore occupational chemical exposures and estimate their joint association with asthma outcomes using polyexposure risk scores (PXS). This North Carolina-based cross-sectional study included 3148 adults. Standardized questionnaires assessed occupational exposure to 93 chemical agents across 18 classes (>15 min/week, ever or never) and personal protective equipment (PPE) use. Current adult asthma was defined as self-reported doctor-diagnosed asthma with recent attacks. Respiratory multimorbidity was ascertained if asthma coexists with allergic rhinitis or chronic obstructive pulmonary disease. Logistic regression-based ExWAS analyzed associations for individual chemicals. Weighted standardized PXS were developed for predefined known asthmagens (PXS

Indexed as

AsthmaExposomeOccupational ExposureAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNorth CarolinaAdultsAsthmaChemical agentsExposomeOccupationPolyexposure risk scores

Identifiers

PMID41101673
PMCPMC13526517

What OpenQuestion holds

Textmetadata
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.