ArticleCerebral cortex (New York, N.Y. : 1991)2022
Shared Genetic Etiology between Cortical Brain Morphology and Tobacco, Alcohol, and Cannabis Use.
Article in Cerebral cortex (New York, N.Y. : 1991), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Utilizing multimodal cortical parcellations to identify novel regions of the human cerebral cortex associated with substance use disorders.Molecular psychiatry · 2026Article
- Brain Structure and Substance Use: Disentangling Risk, Exposure, and Drug-Specific Effects.medRxiv : the preprint server for health sciences · 2026Article
- Measuring the Associations Between Brain Morphometry and Polygenic Risk Scores for Substance use Disorders in Drug-Naive Adolescents.Behavior genetics · 2025Article
- Brain-wide pleiotropy investigation of alcohol drinking and tobacco smoking behaviors.Translational psychiatry · 2025Article
- Optimization of self- or parent-reported psychiatric phenotypes in longitudinal studies.Journal of child psychology and psychiatry, and allied disciplines · 2025Article
- Neuroanatomical Variability and Substance Use Initiation in Late Childhood and Early Adolescence.JAMA network open · 2024Article
- Neurogenetic and multi-omic sources of overlap among sensation seeking, alcohol consumption, and alcohol use disorder.Addiction biology · 2024Article
- Association of smoking with brain gray and white matter volume: a Mendelian randomization study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
- Alcohol use and grey matter structure: Disentangling predispositional and causal contributions in human studies.Addiction biology · 2023Review
- Neurogenetic and multi-omic sources of overlap among sensation seeking, alcohol consumption, and alcohol use disorder.medRxiv : the preprint server for health sciences · 2023Article
- The Genetically Informed Neurobiology of Addiction (GINA) model.Nature reviews. Neuroscience · 2023Review
Corrections and comments
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Authors and funding
15 authors at 7 institutions in 3 countries.
Funding
Abstract
Genome-wide association studies (GWAS) have identified genetic variants associated with brain morphology and substance use behaviors (SUB). However, the genetic overlap between brain structure and SUB has not been well characterized. We leveraged GWAS summary data of 71 brain imaging measures and alcohol, tobacco, and cannabis use to investigate their genetic overlap using linkage disequilibrium score regression. We used genomic structural equation modeling to model a "common SUB genetic factor" and investigated its genetic overlap with brain structure. Furthermore, we estimated SUB polygenic risk scores (PRS) and examined whether they predicted brain imaging traits using the Adolescent Behavior and Cognitive Development (ABCD) study. We identified 8 significant negative genetic correlations, including between (1) alcoholic drinks per week and average cortical thickness, and (2) intracranial volume with age of smoking initiation. We observed 5 positive genetic correlations, including those between (1) insula surface area and lifetime cannabis use, and (2) the common SUB genetic factor and pericalcarine surface area. SUB PRS were associated with brain structure variation in ABCD. Our findings highlight a shared genetic etiology between cortical brain morphology and SUB and suggest that genetic variants associated with SUB may be causally related to brain structure differences.
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Registered trials
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.