Evidence map›Paper›PMID 22703173›Full record

ReviewAnnual review of genomics and human genetics2012

The genetics of substance dependence.

Jen-Chyong Wang, Manav Kapoor, Alison M Goate

Abstract readReview
In one paragraph

Review in Annual review of genomics and human genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 3 pooled it
9.7field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 3 syntheses or guidelines pooled it, 118 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. The Fast Track intervention's impact on behaviors of despair in adolescence and young adulthood.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Trial
  5. Trial
  6. Substance abuse in first-episode psychosis at Chris Hani Baragwanath Hospital.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Epigenetic Effects of Addictive Drugs in the Nucleus Accumbens.Frontiers in molecular neuroscience · 2022
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Recent advances in genetic studies of alcohol use disorders.Current genetic medicine reports · 2020
    Article
  17. Review
  18. Review
  19. Article
  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

3 authors at 1 institution in 1 country.

Jen-Chyong WangDepartment of Psychiatry, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA. jcwang@psychiatry.wustl.edu
Manav Kapoor
Alison M Goate
Washington University in St. Louis · US

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JESSICA E SALVATORE · 1989 to 2026
$162.7M
The Collaborative Genetic Study of Nicotine DependenceP01CA089392 · NCI · WASHINGTON UNIVERSITY · PI BIERUT, LAURA J. · 2001 to 2012
$17.3M
THE GENETICS OF VULNERABILITY TO NICOTINE ADDICTIONSR01DA012854 · NIDA · WASHINGTON UNIVERSITY · PI MADDEN, PAMELA ANN · 2000 to 2013
$10.4M
NCI NIH HHS P01 CA089392NCI NIH HHS P01CA89392NIAAA NIH HHS U10 AA008401NIAAA NIH HHS U10AA008401NIDA NIH HHS 5R01 DA12854NIDA NIH HHS R01 DA012854
6 · The paper itself

Abstract

A large segment of the population suffers from addiction to alcohol, smoking, or illicit drugs. Not only do substance abuse and addiction pose a threat to health, but the consequences of addiction also impose a social and economic burden on families, communities, and nations. Genome-wide linkage and association studies have been used for addiction research with varying degrees of success. The most well-established genetic factors associated with alcohol dependence are in the genes encoding alcohol dehydrogenase (ADH), which oxidizes alcohol to acetaldehyde, and aldehyde dehydrogenase (ALDH2), which oxidizes acetaldehyde to acetate. Recently emerging genetic studies have linked variants in the genes encoding the α3, α5, and β4 nicotinic acetylcholine receptor subunits to smoking risk. However, the influence of these well-established genetic variants accounts for only a small portion of the heritability of alcohol and nicotine addiction, and it is likely that there are both common and rare risk variants yet to be identified. Newly developed DNA sequencing technologies could potentially advance the detection of rare variants with a larger impact on addiction risk.

Indexed as

AnimalsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMutationPolymorphism, Single NucleotideRisk FactorsSequence Analysis, DNASubstance-Related Disorders

Identifiers

PMID22703173
PMCPMC3474605
OpenAlexW2133612797

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.