Evidence map›Paper›PMID 41044382›Full record

SynthesisNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2026

The genetics of cannabis lifetime use.

Uri Bright, Sarah Beck, Marco Galimberti, Priya Gupta, Yu Chen, Cecilia Dao, Yaira Z Nunez, Henry R Kranzler, Yu Zhou, Yingzhe Zhang and 3 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Uri BrightDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.ORCID 0009-0000-9102-7804
Sarah BeckDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Marco GalimbertiDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0001-6052-156X
Priya GuptaDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Yu ChenDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0002-4768-9269
Cecilia DaoDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Yaira Z NunezDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Henry R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-1018-0450
Yu ZhouDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Yingzhe ZhangDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Karmel W ChoiDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Daniel F LeveyDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA.
Joel GelernterDepartment of Psychiatry, Yale School of Medicine, New Haven, CT, USA. Joel.gelernter@yale.edu.ORCID 0000-0002-4067-1859

Funding

7/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01DA054869 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2021 to 2025
$3.3M
Genetic Basis of the Risk and Consequences of Cannabis Exposure in HumansR01DA058862 · NIDA · YALE UNIVERSITY · PI DEEPAK Cyril D'SOUZA, JOEL GELERNTER · 2023 to 2026
$2.6M
BLRD VA IK2 BX005058CSP VA 575BCSRD VA I01 CX001849NIDA NIH HHS R01 DA054869NIDA NIH HHS R01 DA058862U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DA054869U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01DA058862U.S. Department of Veterans Affairs (Department of Veterans Affairs) I01CX001849U.S. Department of Veterans Affairs (Department of Veterans Affairs) IK2BX005058
6 · The paper itself

Abstract

Cannabis is one of the most commonly used drugs in the world, and use is trending alarmingly higher. We aimed to examine the genetic basis of cannabis lifetime use (CanLU) and its genetic relationships with a variety of psychiatric- and physical health-related phenotypes. We conducted a multi-ancestral genome-wide association study (GWAS) of CanLU using data from All of Us in five genetic populations. We meta-analyzed the results of EUR participants with previously published CanLU data (total effective sample size: 258,823), and conducted a set of post-GWAS analyses, including genetic correlation analysis using LDSC, local genetic correlation analysis with LAVA, Mendelian randomization (MR) to assess causality, and phenomewide association analysis. We found 11 independent variants significantly associated with CanLU, most prominently CADM2*rs7609594 (p = 7.4 × 10

Indexed as

Marijuana AbuseMarijuana UseGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID41044382
PMCPMC12824155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.