Evidence map›Paper›PMID 40553041›Full record

ArticlePsychological medicine2025

The causal effect of smoking on psychiatric disorders: an examination of brain volume as a potential pathway.

Margot P van de Weijer, Shu Liu, Anaïs B Thijssen, Robyn E Wootton, Adrià Túnez, Jentien M Vermeulen, Guido van Wingen, Dirk J A Smit, Marcus Munafò, Karin J H Verweij and 1 more

Abstract read
In one paragraph

Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Editorial Perspective: Smoking, vaping and mental health - a perspective on potential causal mechanisms.Journal of child psychology and psychiatry, and allied disciplines · 2026
    Article
  2. Mapping the genetic landscape of suicide risk: Insights from genomic SEM.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
    Article
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.

Margot P van de WeijerDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0001-9720-9481
Shu LiuDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Anaïs B ThijssenDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Robyn E WoottonSchool of Psychological Science, https://ror.org/0524sp257University of Bristol, Bristol, UK.
Adrià TúnezDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Jentien M VermeulenDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Guido van WingenDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Dirk J A SmitDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Marcus MunafòSchool of Psychological Science, https://ror.org/0524sp257University of Bristol, Bristol, UK.
Karin J H VerweijDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Jorien L TreurDepartment of Psychiatry, https://ror.org/03t4gr691Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.

Funding

European Research Council F-112612Stichting Volksbond Rotterdam F-112613
6 · The paper itself

Abstract

backgroundThere is growing evidence that smoking increases the risk of developing psychiatric disorders, but the underlying mechanisms are largely unknown. We examine brain structure as a potential pathway between smoking and psychiatric disease liability.

methodsWe test associations between smoking (initiation, cigarettes per day, cessation, lifetime use) and depression, bipolar disorder, and schizophrenia, with and without correcting for volume of the amygdala, hippocampus, lateral and medial orbitofrontal cortex, superior frontal context, and cortical thickness and surface area. We use three methods that use summary statistics of genome-wide association studies to investigate genome-wide and local genetic overlap (genomic structural equation modeling, local analysis of (co)variant association), as well as causal associations (Mendelian randomization).

resultsWhile we find causal effects of smoking on brain volume in different brain areas, and with psychiatric disorders, brain volume did not seem to mediate the effect of smoking on psychiatric disorders.

conclusionsWhile these findings are limited by characteristics of the included summary statistics (e.g. sample size), we conclude that brain volume of these areas is unlikely to explain a substantial part of any effect of smoking on psychiatric disorders. Nevertheless, genetic methods are valuable tools for exploring other potential mechanisms, such as brain functional connectivity, foregoing the need to collect all phenotypes in one dataset.

Indexed as

Bipolar DisorderBrainMental DisordersSchizophreniaSmokingAdultFemaleGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMendelian Randomization AnalysisOrgan Sizebrain volumegeneticsgenomic SEMMendelian randomizationpsychiatrysmoking

Identifiers

PMID40553041
PMCPMC12201961

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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.