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The shared genetic architecture of smoking behaviours and psychiatric disorders: evidence from a population-based longitudinal study in England

Ajnakina, Olesya; Steptoe, Andrew; (2023) The shared genetic architecture of smoking behaviours and psychiatric disorders: evidence from a population-based longitudinal study in England. BMC Genomic Data , 24 (1) , Article 31. 10.1186/s12863-023-01131-8. Green open access

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Abstract

BACKGROUND: Considering the co-morbidity of major psychiatric disorders and intelligence with smoking, to increase our understanding of why some people take up smoking or continue to smoke, while others stop smoking without progressing to nicotine dependence, we investigated the genetic propensities to psychiatric disorders and intelligence as determinants of smoking initiation, heaviness of smoking and smoking cessation in older adults from the general population. RESULTS: Having utilised data from the English Longitudinal Study of Ageing (ELSA), our results showed that one standard deviation increase in MDD-PGS was associated with increased odds of being a moderate-heavy smoker (odds ratio [OR] = 1.11, SE = 0.04, 95%CI = 1.00-1.24, p = 0.028). There were no other significant associations between SZ-PGS, BD-PGS, or IQ-PGS and smoking initiation, heaviness of smoking and smoking cessation in older adults from the general population in the UK. CONCLUSIONS: Smoking is a behaviour that does not appear to share common genetic ground with schizophrenia, bipolar disorders, and intelligence in older adults, which may suggest that it is more likely to be modifiable by smoking cessation interventions. Once started to smoke, older adults with a higher polygenic predisposition to major depressive disorders are more likely to be moderate to heavy smokers, implying that these adults may require targeted smoking cessation services.

Type: Article
Title: The shared genetic architecture of smoking behaviours and psychiatric disorders: evidence from a population-based longitudinal study in England
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/s12863-023-01131-8
Publisher version: https://doi.org/10.1186/s12863-023-01131-8
Language: English
Additional information: © 2023 BioMed Central Ltd. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).
Keywords: Bipolar disorders, Genome-wide association studies, Intelligence, Major depressive disorders, Nicotine dependence, Older adults, Polygenic scores, Schizophrenia, Smoking cessation, Smoking initiation, Humans, Aged, Depressive Disorder, Major, Longitudinal Studies, Mental Disorders, England, Smoking
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Behavioural Science and Health
URI: https://discovery.ucl.ac.uk/id/eprint/10171768
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