Evidence map›Paper›PMID 41571964›Full record

ArticleGeroScience2026

Associations of air pollution and genetic risk and their interaction with risk of Alzheimer's disease: identification of risk loci and potential biological pathways.

Shanshan Ran, Jingyi Zhang, Miao Cai, Lan Chen, Zhengmin Qian, Fei Tian, Gan Wu, Ri'enna Boyd, Stephen Edward McMillin, Huai-Cai Zeng and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

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

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

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

12 authors.

Shanshan RanDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
Jingyi ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
Miao CaiDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
Lan ChenDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
Zhengmin QianDepartment of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO, 63104, USA.
Fei TianDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
Gan WuDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
Ri'enna BoydGeorge Warren Brown School of Social Work, Washington University in Saint Louis, 6350 Forsyth Blvd, Saint Louis, MO, 63105, USA.
Stephen Edward McMillinSchool of Social Work, Saint Louis University, Tegeler Hall, 3550 Lindell Boulevard, St. Louis, MO, 63103, USA.
Huai-Cai ZengGuangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University, Zhiyuan Road, Lingui District, Guilin, 541199, China.
Yin YangDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China.
Hualiang LinDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, No. 74, Zhongshan 2Nd Road, Yuexiu District, Guangzhou, 510080, China. linhualiang@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-3643-9408

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2024A1515010465Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Health, Guilin Medical University 2023-GKLEH-01
6 · The paper itself

Abstract

backgroundAir pollution is associated with Alzheimer's disease (AD), and the susceptibility of AD from air pollution may be affected by genetic characteristics, but the underlying mechanisms remain unknown.

methodsData from the UK Biobank, in conjunction with PLINK2, was utilized to conduct a genome-wide analysis of a gene-air pollution (PM

resultsA total of 322,958 participants were included in the study. Genome-wide gene-air pollution interaction analysis (GWIA) identified 38, 36, 66, and 101 genomic risk loci that interacted with PM

conclusionsWe prioritized genetic risk loci that interact with air pollutants in AD and revealed that learning or memory are crucial pathways through which these pollutants interact with genes PDE1B, SRF, ZNF385A, and TTBK1.

Indexed as

Air PollutionAlzheimer DiseaseGenetic Predisposition to DiseaseAgedFemaleGene-Environment InteractionGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideProtein Serine-Threonine KinasesQuantitative Trait LociUK BiobankUnited KingdomProtein Serine-Threonine KinasesAir pollutionAlzheimer’s diseaseGene-air pollution interactionGenome-wide analysis

Identifiers

PMID41571964
PMCPMC13638871

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.