Evidence map›Paper›PMID 25424661›Full record

ArticleAddiction (Abingdon, England)2015

Examining the role of common genetic variants on alcohol, tobacco, cannabis and illicit drug dependence: genetics of vulnerability to drug dependence.

Rohan H C Palmer, Leslie Brick, Nicole R Nugent, L Cinnamon Bidwell, John E McGeary, Valerie S Knopik, Matthew C Keller

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.2field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 146 citations in OpenAlex.

  1. Trial
  2. Alcohol substitution during one month of cannabis abstinence among non-treatment seeking youth.Progress in neuro-psychopharmacology & biological psychiatry · 2021
    Trial
  3. The American journal of drug and alcohol abuse · 2019
    Trial
  4. Trial
  5. "General Addiction Liability" Revisited.Clinical psychological science : a journal of the Association for Psychological Science · 2025
    Article
  6. Article
  7. Neuromarkers in addiction: definitions, development strategies, and recent advances.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Prenatal Effects of Nicotine on Obesity Risks: A Narrative Review.International journal of environmental research and public health · 2022
    Review
  14. Weighing the Risk: Developmental Pathways and Processes Underlying Obesity to Substance Use in Adolescence.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2022
    Review
  15. Article
  16. Reward Deficiency Syndrome (RDS): A Cytoarchitectural Common Neurobiological Trait of All Addictions.International journal of environmental research and public health · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Rohan H C PalmerDivision of Behavioral Genetics, Department of Psychiatry, Rhode Island Hospital, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
Leslie Brick
Nicole R Nugent
L Cinnamon Bidwell
John E McGeary
Valerie S Knopik
Matthew C Keller
Rhode Island Hospital · USBrown University · USUniversity of Colorado Boulder · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI RICE, JOHN P · 2001 to 2012
$17.3M
Genome Wide Association Coordinating CenterU01HG004446 · NHGRI · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2007 to 2011
$6.6M
Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
Prenatal tobacco exposure: effects on neuropsychological outcomes and ADHDR01DA023134 · NIDA · RHODE ISLAND HOSPITAL · PI KNOPIK, VALERIE S · 2008 to 2013
$2.7M
FAMILY STUDY OF COCAINE DEPENDENCER01DA013423 · NIDA · WASHINGTON UNIVERSITY · PI BIERUT, LAURA JEAN · 2000 to 2004
$2.2M
Study of Addiction: Genetics and EnvironmentU01HG004422 · NHGRI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2007 to 2010
$1.2M
Deconstructing the Smoking and ADHD Comorbidity: A Multilevel Genetic ApproachK23DA033302 · NIDA · UNIVERSITY OF COLORADO · PI BIDWELL, L. CINNAMON · 2012 to 2016
$871k
Systems Genetics of Alcoholism: Network-based Approaches for Genetics AssociationK01AA021113 · NIAAA · RHODE ISLAND HOSPITAL · PI PALMER, ROHAN HUGH CRAIG · 2012 to 2016
$838k
Psychogenetic Factors in Project REACHK01MH087240 · NIMH · RHODE ISLAND HOSPITAL · PI NUGENT, NICOLE R · 2009 to 2013
$760k
NCATS NIH HHS L30 TR001045NCI NIH HHS P01 CA089392NHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01HG004422NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01HG004438NHGRI NIH HHS U01 HG004446NIAAA NIH HHS AA021113NIAAA NIH HHS K01 AA021113NIAAA NIH HHS U10 AA008401NIDA NIH HHS DA023134NIDA NIH HHS DA033302NIDA NIH HHS K23 DA033302NIDA NIH HHS R01 DA013423NIDA NIH HHS R01 DA023134NIMH NIH HHS K01 MH087240NIMH NIH HHS MH087240NIMH NIH HHS MH100141NIMH NIH HHS R01 MH100141PHS HHS HSN268200782096C
6 · The paper itself

Abstract

BACKGROUND AND

aimsTwin and family studies suggest that genetic influences are shared across substances of abuse. However, despite evidence of heritability, genome-wide association and candidate gene studies have indicated numerous markers of limited effects, suggesting that much of the heritability remains missing. We estimated (1) the aggregate effect of common single nucleotide polymorphisms (SNPs) on multiple indicators of comorbid drug problems that are typically employed across community and population-based samples, and (2) the genetic covariance across these measures.

participantsA total of 2596 unrelated subjects from the Study of Addiction: Genetics and Environment provided information on alcohol, tobacco, cocaine, cannabis and other illicit substance dependence. Phenotypic measures included: (1) a factor score based on DSM-IV drug dependence diagnoses (DD), (2) a factor score based on problem use (PU; i.e. 1+ DSM-IV symptoms) and (3) dependence vulnerability (DV; a ratio of DSM-IV symptoms to the number of substances used).

findingsUnivariate and bivariate genome-wide complex trait analyses of this selected sample indicated that common SNPs explained 25-36% of the variance across measures, with DD and DV having the largest effects [h(2) SNP (standard error) = 0.36 (0.13) and 0.33 (0.13), respectively; PU = 0.25 (0.13)]. Genetic effects were shared across the three phenotypic measures of comorbid drug problems [rDD-PU = 0.92 (0.08), rDD-DV = 0.97 (0.08) and rPU-DV = 0.96 (0.07)].

conclusionAt least 20% of the variance in the generalized vulnerability to substance dependence is attributable to common single nucleotide polymorphisms. The additive effect of common single nucleotide polymorphisms is shared across important indicators of comorbid drug problems.

Indexed as

AlcoholismCocaine-Related DisordersComorbidityGenetic Predisposition to DiseaseGenetic VariationGenotypeHumansMarijuana AbusePhenotypePolymorphism, Single NucleotidePrevalencePrincipal Component AnalysisSubstance-Related DisordersTobacco Use DisorderUnited StatesAddictiondependence vulnerabilitydrug dependencegeneticsgenome-wide association studies (GWAS)genome-wide complex trait analysis

Identifiers

PMID25424661
PMCPMC4329043
OpenAlexW1549086489

What OpenQuestion holds

Textmetadata
LicenceTDM
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.