Evidence map›Paper›PMID 26756393›Full record

ArticleAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2016

Longitudinal predictors of cannabis use and dependence in offspring from families at ultra high risk for alcohol dependence and in control families.

Shirley Y Hill, Bobby L Jones, Stuart R Steinhauer, Nicholas Zezza, Scott Stiffler

Open access · greenAbstract read
In one paragraph

Article in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. The American journal of drug and alcohol abuse · 2019
    Trial
  2. Article
  3. Cannabis Pharmacogenomics: A Path to Personalized Medicine.Current issues in molecular biology · 2023
    Review
  4. Frontiers in psychiatry · 2021
    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

5 authors at 2 institutions in 1 country.

Shirley Y HillDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Bobby L JonesDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Stuart R SteinhauerVA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.
Nicholas ZezzaDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Scott StifflerDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
University of Pittsburgh · USVA Pittsburgh Healthcare System · US

Funding

BIOLOGICAL RISK FACTORS IN RELATIVES OF ALCOHOLIC WOMENR01AA008082 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HILL, SHIRLEY · 1990 to 2014
$7.6M
COGNITIVE/PERSONALITY FACTORS IN RELATIVES OF ALCOHOLICSR01AA005909 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HILL, SHIRLEY Y. · 1985 to 2006
$5.4M
Longitudinal Predictors of Alcohol Dependence in Offspring of Multiplex FamiliesR01AA018289 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HILL, SHIRLEY · 2009 to 2013
$3.3M
Alcoholism Susceptibility Genes in High Density FamiliesR01AA015168 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HILL, SHIRLEY · 2005 to 2009
$2.8M
NIAAA NIH HHS AA015168NIAAA NIH HHS AA018289NIAAA NIH HHS AA05909NIAAA NIH HHS AA08082NIAAA NIH HHS R01 AA005909NIAAA NIH HHS R01 AA008082NIAAA NIH HHS R01 AA015168NIAAA NIH HHS R01 AA018289
6 · The paper itself

Abstract

Cannabis use is common among adolescents. Identification of the factors associated with continued heavy use into young adulthood and development of cannabis abuse and dependence is of considerable importance. The role of familial risk for addiction and an associated endophenotype, P300 amplitude, has not previously been related to cannabis use and dependence. A prospective longitudinal study spanning childhood and young adulthood provided the opportunity for exploring these factors, along with genetic variation, in the cannabis use behaviors of 338 young adult offspring from high and low familial risk for alcohol dependence families (ages 19-30). P300 data were collected multiple times in childhood. The association between young adult patterns of cannabis use or cannabis abuse/dependence was tested with genetic variation in the cannabinoid gene, CNR1, the ANKK1-DRD2 gene, and childhood developmental trajectories of P300. Young adult patterns of cannabis use was characterized by three patterns: (i) no use throughout; (ii) declining use from adolescence through young adulthood; and (iii) frequent use throughout. Following the low P300 trajectory in childhood predicted cannabis abuse and dependence by young adulthood. A four SNP ANKK1-DRD2 haplotype (G-G-G-C) was found to be significantly associated with the frequency of use patterns (P = 0.0008). Although CNR1 variation overall was not significantly associated with these patterns, among individuals with cannabis abuse/dependence the presence of one or both copies of the rs806368 A > G minor allele conferred a 5.4-fold increase (P = 0.003) in the likelihood that they would be in the frequent and persistent use group rather than the declining use group.

Indexed as

Genetic Predisposition to DiseaseAdolescentAge FactorsAlcoholismCase-Control StudiesChildEvent-Related Potentials, P300FamilyFemaleHaplotypesHumansLinkage DisequilibriumLongitudinal StudiesMaleMarijuana AbuseModels, GeneticReceptors, Cannabinoidcannabis abusecannabis dependencecannabis useCNR1D2

Identifiers

PMID26756393
PMCPMC5444658
OpenAlexW2235286064

What OpenQuestion holds

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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.