Evidence map›Paper›PMID 27817095›Full record

Trial reportPrevention science : the official journal of the Society for Prevention Research2018

Polygenic Score × Intervention Moderation: an Application of Discrete-Time Survival Analysis to Model the Timing of First Marijuana Use Among Urban Youth.

Rashelle J Musci, Brian Fairman, Katherine E Masyn, George Uhl, Brion Maher, Danielle Y Sisto, Sheppard G Kellam, Nicholas S Ialongo

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Prevention science : the official journal of the Society for Prevention Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. A gene-environment cascade theoretical framework of developmental psychopathology.Journal of psychopathology and clinical science · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Commentary for Special Issue of Prevention Science "Using Genetics in Prevention: Science Fiction or Science Fact?"Prevention science : the official journal of the Society for Prevention Research · 2018
    Article
  11. The Implications of Genetics for Prevention and Intervention Programming.Prevention science : the official journal of the Society for Prevention Research · 2018
    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

8 authors at 3 institutions in 1 country.

Rashelle J MusciDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 North Broadway, Baltimore, MD, 21205, USA. rmusci@jhsph.edu.
Brian FairmanDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 North Broadway, Baltimore, MD, 21205, USA.
Katherine E MasynSchool of Public Health, Georgia State University, One Park Place, Atlanta, GA, 30303, USA.
George UhlNew Mexico VA Healthcare System, 1501 San Pedro Drive, DE, Albuquerque, NM, 87108, USA.
Brion MaherDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 North Broadway, Baltimore, MD, 21205, USA.
Danielle Y SistoDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 North Broadway, Baltimore, MD, 21205, USA.
Sheppard G KellamDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 North Broadway, Baltimore, MD, 21205, USA.
Nicholas S IalongoDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 624 North Broadway, Baltimore, MD, 21205, USA.
Johns Hopkins University · USGeorgia State University · USNew Mexico VA Health Care System · US

Funding

PERIODIC FOLLOW UP OF TWO UNIVERSAL PREVENTIVE TRIALSR01MH057005 · NIMH · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 1998 to 2007
$4.2M
Development &Malleability from Childhood to AdulthoodR37DA011796 · NIDA · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 2005 to 2013
$3.6M
Functional Genomics and Epigenomics in HIV of Longitudinal Injection Drug Use TrajectoryR01DA039408 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MAHER, BRION S · 2015 to 2019
$3.1M
PREVENTIVE RESEARCH TRAINING IN MENTAL HEALTHT32MH018834 · NIMH · JOHNS HOPKINS UNIVERSITY · PI IALONGO, NICHOLAS S · 1988 to 2011
$2.3M
Genes, Environment and Drug Use in Three Baltimore CohortsR01DA036525 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MAHER, BRION S · 2015 to 2017
$727k
NIDA NIH HHS R01 DA036525NIDA NIH HHS R01 DA039408NIDA NIH HHS R37 DA011796NIMH NIH HHS R01 MH057005NIMH NIH HHS T32 MH018834
6 · The paper itself

Abstract

The present study examines the interaction between a polygenic score and an elementary school-based universal preventive intervention trial and its effects on a discrete-time survival analysis of time to first smoking marijuana. Research has suggested that initiation of substances is both genetically and environmentally driven (Rhee et al., Archives of general psychiatry 60:1256-1264, 2003; Verweij et al., Addiction 105:417-430, 2010). A previous work has found a significant interaction between the polygenic score and the same elementary school-based intervention with tobacco smoking (Musci et al., in press). The polygenic score reflects the contribution of multiple genes and has been shown in prior research to be predictive of smoking cessation, tobacco use, and marijuana use (Uhl et al., Molecular Psychiatry 19:50-54, 2014). Using data from a longitudinal preventive intervention study (N = 678), we examined age of first marijuana use from sixth grade to age 18. Genetic data were collected during emerging adulthood and were genotyped using the Affymetrix 6.0 microarray (N = 545). The polygenic score was computed using these data. Discrete-time survival analysis was employed to test for intervention main and interaction effects with the polygenic score. We found main effect of the polygenic score approaching significance, with the participants with higher polygenic scores reporting their first smoking marijuana at an age significantly later than controls (p = .050). We also found a significant intervention × polygenic score interaction effect at p = .003, with participants at the higher end of the polygenic score benefiting the most from the intervention in terms of delayed age of first use. These results suggest that genetics may play an important role in the age of first use of marijuana and that differences in genetics may account for the differential effectiveness of classroom-based interventions in delaying substance use experimentation.

Indexed as

Genetic TestingMultifactorial InheritanceSurvival AnalysisUrban PopulationChildChild, PreschoolFemaleHumansLongitudinal StudiesMaleMarijuana SmokingModels, TheoreticalUnited StatesPolygenicSurvival analysisUniversal intervention

Identifiers

PMID27817095
PMCPMC5501761
OpenAlexW2547250407

What OpenQuestion holds

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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.