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DOI 10.1016/j.heliyon.2024.e35649

Медицинская библиотека · Heliyon · 2024

A comprehensive analysis of the health effects associated with smoking in the largest population using UK Biobank genotypic and phenotypic data.

Lin Zixun, Xiong Jiayi, Yang Jiaqi, Huang Yuanfeng, Li Jinchen, Zhao Guihu, Li Bin

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Аннотация

BACKGROUND

Smoking is a widespread behavior, while the relationship between smoking and various diseases remains a topic of debate.

OBJECTIVE

We conducted analysis to further examine the identified associations and assess potential causal relationships.

METHODS

We utilized seven single nucleotide polymorphisms (SNPs) known to be linked to smoking extracting genotype data from the UK Biobank, a large-scale biomedical repository encompassing comprehensive health-related and genetic information of European descent. Phenome-wide association study (PheWAS) analysis was conducted to map the association of genetically predicted smoking status with 1,549 phenotypes. The associations identified in the PheWAS were then meticulously examined through two-sample Mendelian randomization (MR) analysis, utilizing data from the UK Biobank (n = 487,365) and the Sequencing Consortium of Alcohol and Nicotine Use (GSCAN) (n = 337,334). This approach allowed us to comprehensively characterize the links between smoking and disease patterns.

RESULTS

The PheWAS analysis produced 34 phenotypes that demonstrated significant associations with smoking (P = 0.05/1460). Importantly, sickle cell anemia and type 2 diabetes exhibited the most significant SNPs (both 85.71% significant SNPs). Furthermore, the MR analyses provided compelling evidence supporting causal associations between smoking and the risk of following diseases: obstructive chronic bronchitis (IVW: Beta = 0.48, 95% confidence interval (CI) 0.36-0.61, P = 1.62×10-13), cancer of the bronchus (IVW: Beta = 0.92, 95% CI 0.68-1.17, P = 2.02×10-13), peripheral vascular disease (IVW: Beta = 1.09, 95% CI 0.71-1.46, P = 1.63×10-8), emphysema (IVW: Beta = 1.63, 95% CI 0.90-2.36, P = 1.29×10-5), pneumococcal pneumonia (IVW: Beta = 0.30, 95% CI 0.11-0.49, P = 1.60×10-3), chronic airway obstruction (IVW: Beta = 0.83, 95% CI 0.30-1.36, P = 2.00×10-3) and type 2 diabetes (IVW: Beta = 0.53, 95% CI 0.16-0.90, P = 5.08×10-3).

CONCLUSION

This study affirms causal relationships between smoking and obstructive chronic bronchitis, cancer of the bronchus, peripheral vascular disease, emphysema, pneumococcal pneumonia, chronic airway obstruction, type 2 diabetes, in the European population. These findings highlight the broad health impacts of smoking and support smoking cessation efforts.

Для цитирования: Lin Zixun, Xiong Jiayi, Yang Jiaqi, Huang Yuanfeng, Li Jinchen, Zhao Guihu, Li Bin. A comprehensive analysis of the health effects associated with smoking in the largest population using UK Biobank genotypic and phenotypic data.. Heliyon. 2024. DOI: 10.1016/j.heliyon.2024.e35649.
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