Evidence map›Paper›PMID 29112194›Full record

ArticleMolecular psychiatry2018

Genome-wide association study identifies a novel locus for cannabis dependence.

A Agrawal, Y-L Chou, C E Carey, D A A Baranger, B Zhang, R Sherva, L Wetherill, M Kapoor, J-C Wang, S Bertelsen and 26 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Cannabis use disorder: from neurobiology to treatment.The Journal of clinical investigation · 2024
    Review
  7. Article
  8. Cannabis Pharmacogenomics: A Path to Personalized Medicine.Current issues in molecular biology · 2023
    Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Cannabis use and cannabis use disorder.Nature reviews. Disease primers · 2021
    Review
  16. Review
  17. Testing structural models of psychopathology at the genomic level.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2020
    Article
  18. Article
  19. Review
  20. 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

36 authors.

A AgrawalDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0002-0313-793X
Y-L ChouDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
C E CareyDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St Louis, MO, USA.
D A A BarangerDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St Louis, MO, USA.
B ZhangDepartment of Developmental Biology, Washington University School of Medicine, St Louis, MO, USA.
R ShervaDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.
L WetherillDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
M KapoorDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
J-C WangDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
S BertelsenDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
A P AnokhinDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
V HesselbrockDepartment of Psychiatry, University of Connecticut Health, Farmington, CT, USA.
J KramerDepartment of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
M T LynskeyKing's College London, Addictions Department, Institute of Psychiatry, Psychology and Neuroscience, London, UK.
J L MeyersDownstate Medical Center, Department of Psychiatry, State University of New York, Brooklyn, NY, USA.
J I NurnbergerDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
J P RiceDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
J TischfieldRutgers, Department of Genetics, The State University of New Jersey, New Brunswick, NJ, USA.
L J BierutDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
L DegenhardtNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW, Australia.
L A FarrerDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.
J GelernterYale University School of Medicine, Department of Psychiatry, New Haven, CT, USA.ORCID 0000-0002-4067-1859
A R HaririDepartment of Psychology and Neuroscience, Duke University, Durham, NC, USA.
A C HeathDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
H R KranzlerDepartment of Psychiatry, University of Pennsylvania Perelman School of Medicine, VISN 4 MIRECC, Crescenz VAMC, Philadelphia, PA, USA.
P A F MaddenDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.
N G MartinQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
G W MontgomeryInstitute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
B PorjeszDownstate Medical Center, Department of Psychiatry, State University of New York, Brooklyn, NY, USA.
T WangDepartment of Genetics, Washington University School of Medicine, St Louis, MO, USA.ORCID 0000-0002-6800-242X
J B WhitfieldQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
H J EdenbergDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
T ForoudDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
A M GoateDepartment of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
R BogdanDepartment of Psychological and Brain Sciences, Washington University in St. Louis, St Louis, MO, USA.
E C NelsonDepartment of Psychiatry, Washington University School of Medicine, St Louis, MO, USA.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI BERNICE PORJESZ · 1989 to 2026
$162.7M
Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI AIMEE S JAMES · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational Sciences (UL1)UL1RR024992 · NCRR · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2007 to 2011
$45.4M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GROSSMAN, HILLEL · 1985 to 2019
$37.9M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Carolyn Wei Zhu · 2020 to 2026
$31.0M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
QUANTITATIVE ANALYSIS OF MICROVASCULAR CHANGES IN THE AGING BRAINP01AG002219 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HAROUTUNIAN, VAHRAM · 1985 to 2009
$19.2M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
White Matter Abnormalities in SchizophreniaP50MH066392 · NIMH · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI O'DONOVAN, MICHAEL J · 2002 to 2012
$18.6M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2001 to 2012
$17.3M
Intramural NIH HHS Z01 AG000015Intramural NIH HHS Z01 AG000949NCATS NIH HHS KL2 TR001854NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS P01 CA089392NCI NIH HHS P30 CA091842NCI NIH HHS U01 CA200060NCRR NIH HHS UL1 RR024992NHGRI NIH HHS N01 HG065403NHGRI NIH HHS R01 HG007175NHGRI NIH HHS R01 HG007354NHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHGRI NIH HHS U01 HG009391NIAAA NIH HHS K05 AA017688NIAAA NIH HHS P50 AA011998NIAAA NIH HHS P60 AA011998NIAAA NIH HHS R01 AA007535NIAAA NIH HHS R01 AA007728NIAAA NIH HHS R01 AA011330NIAAA NIH HHS R01 AA013320NIAAA NIH HHS R01 AA013321NIAAA NIH HHS R01 AA014041NIAAA NIH HHS R01 AA017535NIAAA NIH HHS R37 AA007728NIAAA NIH HHS U10 AA008401NIA NIH HHS K24 AG000949NIA NIH HHS P01 AG002219NIA NIH HHS P30 AG066514NIA NIH HHS P50 AG005138NIA NIH HHS R01 AG045231NIA NIH HHS R01 AG049789NIA NIH HHS U01 AG052564NICHD NIH HHS R01 HD083614NIDA NIH HHS K01 DA037914NIDA NIH HHS K02 DA032573NIDA NIH HHS K08 DA019951NIDA NIH HHS R01 DA006227NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS R01 DA012854NIDA NIH HHS R01 DA013423NIDA NIH HHS R01 DA017305NIDA NIH HHS R01 DA018432NIDA NIH HHS R01 DA019963NIDA NIH HHS R01 DA023668NIDA NIH HHS R01 DA033369NIDA NIH HHS R01 DA033684NIDA NIH HHS R01 DA036583NIDA NIH HHS R25 DA027995NIDA NIH HHS R56 DA012854NIDA NIH HHS RC2 DA028909NIEHS NIH HHS R01 ES024992NIEHS NIH HHS U24 ES026699NIGMS NIH HHS T32 GM008151NIMH NIH HHS P50 MH066392NIMH NIH HHS P50 MH084053NIMH NIH HHS P50 MH096891NIMH NIH HHS R01 MH057881NIMH NIH HHS R01 MH075916NIMH NIH HHS R01 MH080405NIMH NIH HHS R01 MH085542NIMH NIH HHS R01 MH090936NIMH NIH HHS R01 MH090937NIMH NIH HHS R01 MH090941NIMH NIH HHS R01 MH090948NIMH NIH HHS R01 MH090951NIMH NIH HHS R01 MH093725NIMH NIH HHS R01 MH097276NIMH NIH HHS R01 MH101584NIMH NIH HHS R01 MH101782NIMH NIH HHS R01 MH101810NIMH NIH HHS R01 MH101814NIMH NIH HHS R01 MH101819NIMH NIH HHS R01 MH101820NIMH NIH HHS R01 MH101822NIMH NIH HHS R01 MH101825NIMH NIH HHS R37 MH057881
6 · The paper itself

Abstract

Despite moderate heritability, only one study has identified genome-wide significant loci for cannabis-related phenotypes. We conducted meta-analyses of genome-wide association study data on 2080 cannabis-dependent cases and 6435 cannabis-exposed controls of European descent. A cluster of correlated single-nucleotide polymorphisms (SNPs) in a novel region on chromosome 10 was genome-wide significant (lowest P=1.3E-8). Among the SNPs, rs1409568 showed enrichment for H3K4me1 and H3K427ac marks, suggesting its role as an enhancer in addiction-relevant brain regions, such as the dorsolateral prefrontal cortex and the angular and cingulate gyri. This SNP is also predicted to modify binding scores for several transcription factors. We found modest evidence for replication for rs1409568 in an independent cohort of African American (896 cases and 1591 controls; P=0.03) but not European American (EA; 781 cases and 1905 controls) participants. The combined meta-analysis (3757 cases and 9931 controls) indicated trend-level significance for rs1409568 (P=2.85E-7). No genome-wide significant loci emerged for cannabis dependence criterion count (n=8050). There was also evidence that the minor allele of rs1409568 was associated with a 2.1% increase in right hippocampal volume in an independent sample of 430 EA college students (fwe-P=0.008). The identification and characterization of genome-wide significant loci for cannabis dependence is among the first steps toward understanding the biological contributions to the etiology of this psychiatric disorder, which appears to be rising in some developed nations.

Indexed as

AdultAllelesBlack or African AmericanCannabisCase-Control StudiesChromosomes, Human, Pair 10Cohort StudiesFemaleGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMarijuana AbuseMiddle Aged

Identifiers

PMID29112194
PMCPMC5938138

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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.