Evidence map›Paper›PMID 18991966›Full record

ReviewAnnals of the New York Academy of Sciences2008

Molecular genetics of addiction and related heritable phenotypes: genome-wide association approaches identify "connectivity constellation" and drug target genes with pleiotropic effects.

George R Uhl, Tomas Drgon, Catherine Johnson, Chuan-Yun Li, Carlo Contoreggi, Judith Hess, Daniel Naiman, Qing-Rong Liu

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 4 pooled it
7.8field-weighted citation impact, top 2% 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

69 citing papers in PubMed, 4 syntheses or guidelines pooled it, 139 citations in OpenAlex.

  1. Pooled it
  2. Multi-cultural association of the serotonin transporter gene (SLC6A4) with substance use disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2013
    Pooled it
  3. Associations of the 5-hydroxytryptamine (serotonin) receptor 1B gene (HTR1B) with alcohol, cocaine, and heroin abuse.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2013
    Pooled it
  4. Pooled it
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  8. Alzheimer's disease multi-ancestry genome-wide interaction and stratified study with smoking.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  9. Generalized genetic liability to substance use disorders.The Journal of clinical investigation · 2024
    Review
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9 more citing papers are in PubMed but not listed here.

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 5 institutions in 2 countries.

George R UhlMolecular Neurobiology Branch, National Institutes of Health (NIH), Intramural Research Program (IRP), National Institute on Drug Abuse (NIDA), Baltimore, MD 21224, USA. guhl@intra.nida.nih.gov
Tomas Drgon
Catherine Johnson
Chuan-Yun Li
Carlo Contoreggi
Judith Hess
Daniel Naiman
Qing-Rong Liu
National Institutes of Health · USNational Institute on Drug Abuse · USJohns Hopkins University · USOffice of the Director · USPeking University · CN

Funding

TRANSDISCIPLINARY TOBACCO USE RESEARCH CENTERSP50CA084718 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN · 1999 to 2008
$17.8M
Statistical Sciences CoreP50CA084719 · NCI · MIRIAM HOSPITAL · PI KAZURA, ALESSANDRA N · 1999 to 2008
$17.8M
GENETIC APPROACHES TO CHARACTERIZING DRUG RESPONSES AND VULNERABILITIES: HUMANSZ01DA000401 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 1997 to 2008
$4.6M
Genetic Approaches To Characterizing Drug Responses And Vulnerabilities: HumansZIADA000401 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$3.4M
BIOBEHAVIORAL LUNG CANCER PREVENTION PROGRAMR01CA063562 · NCI · UNIVERSITY OF PENNSYLVANIA · PI LERMAN, CARYN · 1993 to 2004
$2.7M
Understanding addiction vulnerability genesZIADA000492 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2009 to 2015
$1.9M
CVD RISK FACTORS AND BRAIN MORPHOLOGY IN NHLBI TWINSR01HL051429 · NHLBI · SRI INTERNATIONAL · PI SWAN, GARY E · 1995 to 2001
$1.8M
Molecular Genetic Bases for Quit SuccessZ01DA000537 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2007 to 2008
$1.7M
GENETIC APPROACHES TO CHARACTERIZING DRUG RESPONSES AND VULNERABILITIES: MICEZ01DA000165 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 1995 to 2008
$1.5M
Psychobiological /Genetic Determinants-Smoking CessationK08DA014276 · NIDA · MEMORIAL HOSPITAL OF RHODE ISLAND · PI DAVID, SEAN P. · 2002 to 2006
$786k
Understanding addiction vulnerability genesZ01DA000492 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI UHL, GEORGE RICHARD · 2006 to 2008
$774k
THE SOCIAL PSYCHOLOGY OF GROUP PERCEPTION AND SMOKINGK05DA000492 · NIDA · INDIANA UNIVERSITY BLOOMINGTON · PI SHERMAN, STEVEN J · 2000 to 2004
$656k
Intramural NIH HHS Z01 DA000165Intramural NIH HHS Z01 DA000401Intramural NIH HHS Z01 DA000492Intramural NIH HHS Z01 DA000537NCI NIH HHS P50 CA084719NCI NIH HHS P50 CA84719NCI NIH HHS P50 CA/DA84718NCI NIH HHS R01 CA063562NCI NIH HHS R01 CA63562NHLBI NIH HHS HL32318NHLBI NIH HHS HL51429NHLBI NIH HHS R01 HL051429NICHD NIH HHS N01 HD13138NIDA NIH HHS 1K08 DA14276-05NIDA NIH HHS DA08511NIDA NIH HHS K05 DA000492NIDA NIH HHS K08 DA000401NIDA NIH HHS K08 DA014276Wellcome TrustWellcome Trust 076113
6 · The paper itself

Abstract

Genome-wide association (GWA) can elucidate molecular genetic bases for human individual differences in complex phenotypes that include vulnerability to addiction. Here, we review (a) evidence that supports polygenic models with (at least) modest heterogeneity for the genetic architectures of addiction and several related phenotypes; (b) technical and ethical aspects of importance for understanding GWA data, including genotyping in individual samples versus DNA pools, analytic approaches, power estimation, and ethical issues in genotyping individuals with illegal behaviors; (c) the samples and the data that shape our current understanding of the molecular genetics of individual differences in vulnerability to substance dependence and related phenotypes; (d) overlaps between GWA data sets for dependence on different substances; and (e) overlaps between GWA data for addictions versus other heritable, brain-based phenotypes that include bipolar disorder, cognitive ability, frontal lobe brain volume, the ability to successfully quit smoking, neuroticism, and Alzheimer's disease. These convergent results identify potential targets for drugs that might modify addictions and play roles in these other phenotypes. They add to evidence that individual differences in the quality and quantity of brain connections make pleiotropic contributions to individual differences in vulnerability to addictions and to related brain disorders and phenotypes. A "connectivity constellation" of brain phenotypes and disorders appears to receive substantial pathogenic contributions from individual differences in a constellation of genes whose variants provide individual differences in the specification of brain connectivities during development and in adulthood. Heritable brain differences that underlie addiction vulnerability thus lie squarely in the midst of the repertoire of heritable brain differences that underlie vulnerability to other common brain disorders and phenotypes.

Indexed as

BrainCell Adhesion MoleculesComorbidityDiseases in TwinsEpigenesis, GeneticEthnicityFemaleGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseGenetic VariationGenome, HumanGenome-Wide Association StudyGenotypeHumansMaleCell Adhesion Molecules

Identifiers

PMID18991966
PMCPMC3922196
OpenAlexW2034053561

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.