Evidence map›Paper›PMID 42792915›Full record

ArticleGenes2026

Genetic Susceptibility to Impaired Lung Function in Underground Coal Miners from Kazakhstan.

Anastassiya Perfilyeva, Sayagul Kairgeldina, Alexandr Gulyayev, Kanat Tekebayev, Kanagat Yergali, Ozada Khamdiyeva, Sholpan Koigel'dinova, Zhanbol Sabirov, Nazym Sagandykova, Madina Baurzhan and 1 more

Abstract read
In one paragraph

Article in Genes, 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
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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

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

11 authors.

Anastassiya PerfilyevaLaboratory of Molecular Genetics, Institute of Genetics and Physiology, Almaty 050060, Kazakhstan.ORCID 0000-0003-2121-0042
Sayagul KairgeldinaScientific Research Institute of Balneology and Medical Rehabilitation of the Ministry of Health of the Republic of Kazakhstan, Astana 010000, Kazakhstan.
Alexandr GulyayevScientific Research Institute of Balneology and Medical Rehabilitation of the Ministry of Health of the Republic of Kazakhstan, Astana 010000, Kazakhstan.
Kanat TekebayevScientific Research Institute of Balneology and Medical Rehabilitation of the Ministry of Health of the Republic of Kazakhstan, Astana 010000, Kazakhstan.
Kanagat YergaliLaboratory of Molecular Genetics, Institute of Genetics and Physiology, Almaty 050060, Kazakhstan.ORCID 0000-0002-3581-2418
Ozada KhamdiyevaLaboratory of Experimental Mutagenesis, Institute of Genetics and Physiology, Almaty 050060, Kazakhstan.ORCID 0000-0002-3990-4512
Sholpan Koigel'dinovaDepartment of Internal Medicine, NC JSC "Karaganda Medical University", Karaganda 100030, Kazakhstan.
Zhanbol SabirovNC JSC National Centre for Occupational Health and Diseases, Karaganda 100008, Kazakhstan.ORCID 0000-0002-9922-3604
Nazym SagandykovaCorporate Fund "University Medical Center", Astana 010000, Kazakhstan.ORCID 0000-0002-7274-8101
Madina BaurzhanScientific Research Institute of Balneology and Medical Rehabilitation of the Ministry of Health of the Republic of Kazakhstan, Astana 010000, Kazakhstan.ORCID 0000-0003-1244-8673
Gulnur ZhunussovaLaboratory of Molecular Genetics, Institute of Genetics and Physiology, Almaty 050060, Kazakhstan.ORCID 0000-0001-8642-9577

Funding

Committee of Science of the Ministry of Science and Higher Education of the Republic of Ka-zakhstan BR27199517
6 · The paper itself

Abstract

BACKGROUND/

objectivesOccupational exposure to coal mine dust is a major risk factor for respiratory impairment; however, the genetic determinants of individual variation in lung function remain poorly understood, particularly in occupational cohorts that have been largely absent from genome-wide association studies. This study aimed to identify genetic variants associated with quantitative lung function traits in underground coal miners from Kazakhstan.

methodsA total of 186 underground coal miners from the Karaganda coal basin were genotyped using the Illumina Global Screening Array. Genome-wide association analyses were performed for six spirometric parameters (FVC, FEV1, FEV1/FVC, MEF25, MEF50, and MEF75), adjusting for age, mining exposure, body mass index, smoking status, and population structure. Genotype imputation was performed to increase genomic coverage and evaluate the consistency of association signals.

resultsNo variants reached the conventional genome-wide significance threshold. However, recurrent suggestive associations identified

conclusionsRecurrent associations across complementary spirometric parameters identified biologically plausible candidate loci involved in inflammatory signalling, DNA repair, and epithelial homeostasis. These findings provide one of the first genomic insights into lung function in underground coal miners and provide a foundation for future validation and functional studies.

Indexed as

Coal MiningGenetic Predisposition to DiseaseLungOccupational ExposureAdultCoalDustGenome-Wide Association StudyHumansKazakhstanMaleMiddle AgedPolymorphism, Single NucleotideCoalDustcoal minersgenetic susceptibilityKazakhstanlung functionoccupational dust exposurespirometry

Identifiers

PMID42792915
PMCPMC13606046

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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 OpenQuestion graph.