Investigating causal relationship between smoking behavior and global brain volume
Chang, Y.; Thornton, V.; Chaloemtoen, A.; Anokhin, A. P.; Bijsterbosch, J. D.; Bogdan, R.; Hancock, D. B.; Johnson, E. O.; Bierut, L. J.
Show abstract
BackgroundPrevious studies have shown that brain volume is negatively associated with cigarette smoking, but there is an ongoing debate whether smoking causes lowered brain volume or a lower brain volume is a risk factor for smoking. We address this debate through multiple methods that evaluate causality: Bradford Hills Criteria to understand a causal relationship in epidemiological studies, mediation analysis, and Mendelian Randomization. MethodsIn 28,404 participants of European descent from the UK Biobank dataset, we examined relationships between a history of daily smoking and brain imaging phenotypes as well as associations of genetic predisposition to smoking initiation with brain volume. ResultsA history of daily smoking is strongly associated with decreased brain volume, and a history of heavier smoking is associated with a greater decrease in brain volume. The strongest association was between total grey matter volume and a history of daily smoking (p-value = 8.28 x 10-33), and there was a dose response relationship with more pack years smoked associated with a greater decrease in brain volume. A polygenic risk score (PRS) for smoking initiation was strongly associated with a history of daily smoking (p-value = 4.09 x10-72), yet only modestly associated with total grey matter volume (p-value = 0.02). Mediation analysis indicated that a history of daily smoking is a mediator between smoking initiation PRS and total grey matter volume. Mendelian Randomization showed a causal effect of daily smoking on total grey matter volume (p-value = 0.022). ConclusionsThese converging findings strongly support the hypothesis that smoking causes decreased brain volume.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Daily and Intermittent Smoking Decrease Gray Matter Volume and Concentrations of Glutamate, Creatine, Myo-Inositol and N-acetylaspartate in the Prefrontal Cortex 96%
- Thalamic volume and functional connectivity are associated with nicotine dependence severity and craving 96%
- Reduced responsiveness of the reward system underlies tolerance to cannabis impairment in chronic users 93%
Similar papers in this journal
- Cross-Species Integration of Transcriptomic Effects of Tobacco and Nicotine Exposure Helps to Prioritize Genetic Effects on Human Tobacco Consumption 93%
- Drinking and smoking polygenic risk is associated with neurodevelopmental outcomes of children and young adults independently of psychopathology and substance use 92%
- Genetic polymorphism of CYP2C19 and subcortical variability in the human adult brain 92%
Similar papers in this journal
- Not all smokers are alike: The hidden cost of sustained attention during nicotine abstinence 94%
- Nicotine dependence (trait) and acute nicotinic stimulation (state) modulate attention but not cognitive control: converging fMRI evidence from Go-Nogo and Flanker tasks 93%
- Genome-wide DNA methylation differences in nucleus accumbens of smokers vs. nonsmokers 93%
Similar papers in this journal
- Bidirectional genetic and phenotypic links between smoking and striatal iron content involving dopaminergic and inflammatory pathways 94%
- Maternal and child genetic liability for smoking and caffeine consumption and child mental health: An intergenerational genetic risk score analysis in the ALSPAC cohort 93%
- Transitions from smoking to exclusive e-cigarette use, dual use, or stopping nicotine use in ALSPAC and their association with modifiable and sociodemographic factors 92%
Similar papers in this journal
- A Phenome-wide association study of genetically determined nicotine metabolism reveals novel links with health-related outcomes 93%
- Unidirectional and Bidirectional Causation between Smoking and Blood DNA Methylation: Evidence from Twin-based Mendelian Randomisation 91%
- Adherence to a healthy lifestyle and brain structural imaging markers 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.