Evidence map›Paper›PMID 42831997›Full record

ArticleHuman genetics2026

Annual average exposure to ambient air pollution, polygenic risk, and incidence of major chronic diseases: a large-scale prospective cohort study.

Jing Tian, Sicong Wang, Xinyi Chang, Yi Han

Abstract read
In one paragraph

Article in Human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jing TianDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China.
Sicong WangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China.
Xinyi ChangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China.
Yi HanDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Harbin, China. yihan@hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambient air pollution is a major environmental risk factor for chronic diseases, yet its independent effects, as well as its joint associations and interactions with genetic susceptibility, on multiple chronic conditions remain understudied. This study aims to investigate the association between annual average exposure to multiple air pollutants and five major chronic diseases, while quantifying the role of polygenic risk in these relationships. We included 313,534 participants from the UK Biobank. Land use regression models were used to estimate annual average air pollution concentrations at residential addresses. Chronic diseases (cardiovascular, respiratory, neurodegenerative, hypertension, and diabetes) were identified using ICD-9 and ICD-10 codes. Weighted polygenic risk scores (PRS) were constructed for each disease. Cox proportional hazards models were used to assess associations, and additive interactions were evaluated using RERI and AP. Annual average exposure to PM2.5, PM10, NO2, and NOx was significantly associated with increased chronic disease risk. PM2.5 showed the strongest association (HR = 1.22 per 5 µg/m³, 95% CI: 1.19-1.26). High genetic risk was independently associated with disease incidence (e.g., diabetes: HR = 1.77 per SD increase in PRS). Significant additive interactions were observed between high genetic risk and high PM2.5 exposure for neurodegenerative disease (RERI = 0.14) and diabetes (RERI = 0.21). Participants with both high genetic risk and high pollution exposure had the highest disease burden. Annual average exposure to air pollutants is associated with increased risks of multiple chronic diseases, with effect modification by genetic susceptibility.

Indexed as

Air PollutionEnvironmental ExposureAgedAir PollutantsCardiovascular DiseasesChronic DiseaseDiabetes MellitusFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansIncidenceMaleMiddle AgedParticulate MatterProportional Hazards ModelsAir PollutantsParticulate Matter

Identifiers

PMID42831997
PMCPMC13638686

What Socratic holds

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Registered trials

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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.