Evidence map›Paper›PMID 34287779›Full record

ArticleBrain imaging and behavior2021

Brain structure and problematic alcohol use: a test of plausible causation using latent causal variable analysis.

Alexander S Hatoum, Emma C Johnson, Arpana Agrawal, Ryan Bogdan

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Alcohol, smoking, and brain structure: common or substance specific associations.medRxiv : the preprint server for health sciences · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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

4 authors.

Alexander S HatoumDepartment of Psychiatry, Washington University St. Louis Medical School, 825 S Taylor Ave, St. Louis, MO, 63110, USA. ashatoum@wustl.edu.
Emma C JohnsonDepartment of Psychiatry, Washington University St. Louis Medical School, 825 S Taylor Ave, St. Louis, MO, 63110, USA.
Arpana AgrawalDepartment of Psychiatry, Washington University St. Louis Medical School, 825 S Taylor Ave, St. Louis, MO, 63110, USA.
Ryan BogdanDepartment of Psychological & Brain Sciences, Washington University St. Louis, St. Louis, MO, USA.

Funding

MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
BIOMEDICAL RESEARCH TRAINING IN DRUG ABUSET32DA007261 · NIDA · WASHINGTON UNIVERSITY · PI ARPANA AGRAWAL, Jose A Moron-Concepcion · 1991 to 2026
$8.8M
Prenatal Cannabis Use (PCU) and Development of Offspring Brain and Behavior During Early Life (0-18 Months)R01DA046224 · NIDA · WASHINGTON UNIVERSITY · PI ARPANA AGRAWAL, RYAN H BOGDAN · 2019 to 2026
$6.2M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Modeling poly-genomic risk in the relationship between brain structure and alcohol involvement from adolescence through adulthoodR21AA027827 · NIAAA · WASHINGTON UNIVERSITY · PI BOGDAN, RYAN H · 2019 to 2020
$413k
Identifying Contributions to the Genetic Correlation Between Alcohol Use Disorders and SchizophreniaF32AA027435 · NIAAA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2018 to 2020
$133k
NIAAA NIH HHS F32 AA027435NIAAA NIH HHS R21 AA027827NIA NIH HHS U01 AG052564NIDA NIH HHS K02 DA032573NIDA NIH HHS R01 DA046224NIDA NIH HHS T32 DA007261NIMH NIH HHS U01 MH109532
6 · The paper itself

Abstract

Associations between brain structure and problematic alcohol use may reflect alcohol-induced toxicity and/or preexisting risk. Here, we applied a latent causal variable approach to genome-wide association study summary statistics of problematic alcohol use (n = 435,563) and magnetic resonance imaging-derived brain structure phenotypes (e.g., cortical volume, cortical thickness, white matter volume; ns ranging from 17,706 to 51,665) to test whether variability in brain structure may plausibly contribute to problematic alcohol use and/or whether problematic alcohol use influences brain structure. After correction for multiple testing within each modality, we find evidence that greater volume of the pars opercularis, greater thickness of the cuneus, and lower volume of the basal forebrain may plausibly contribute to problematic alcohol use. All other nominally-significant associations identify brain structure as a potential causal contributor to problematic alcohol use; there was no evidence suggesting that problematic alcohol use may cause differences in brain structure. Collectively, these results challenge common interpretations that associations between alcohol use and brain structure reflect consequences of alcohol, instead supporting emerging work suggesting that brain structure may reflect a predispositional risk factor for alcohol involvement.

Indexed as

Magnetic Resonance ImagingWhite MatterAlcohol DrinkingBrainGenome-Wide Association Study

Identifiers

PMID34287779
PMCPMC8766883

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.