Evidence map›Paper›PMID 23377636›Full record

ReviewThe American journal of psychiatry2013

Evidence for a genetic component for substance dependence in Native Americans.

Cindy L Ehlers, Ian R Gizer

Abstract readReview
In one paragraph

Review in The American journal of psychiatry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 8% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cardiovascular Disease Risk Factors in the Native American Population.Journal of cardiovascular development and disease · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Racial and Ethnic Disparities in Alcohol-Attributed Deaths in the United States, 1999-2020.International journal of environmental research and public health · 2023
    Article
  16. Article
  17. Substance and Behavioral Addictions among American Indian and Alaska Native Populations.International journal of environmental research and public health · 2022
    Article
  18. Article
  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

2 authors at 1 institution in 1 country.

Cindy L EhlersDepartment of Molecular and Integrative Neurosciences, the Scripps Research Institute, La Jolla, CA, USA. cindye@scripps.edu
Ian R Gizer
Scripps Research Institute · US

Funding

Deep sequencing studies for cannabis and stimulant dependenceR01DA030976 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EHLERS, CINDY L, GELERNTER, JOEL · 2010 to 2014
$16.5M
RISK FACTORS FOR ALCOHOLISM IN NATIVE AMERICANSR37AA010201 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI EHLERS, CINDY L · 2007 to 2015
$7.0M
RISK FACTORS FOR ALCOHOLISM IN NATIVE AMERICANSR01AA010201 · NIAAA · SCRIPPS RESEARCH INSTITUTE, THE · PI EHLERS, CINDY L · 1994 to 2006
$3.8M
NIAAA NIH HHS AA010201NIAAA NIH HHS R01 AA010201NIAAA NIH HHS R37 AA010201NIDA NIH HHS DA030976NIDA NIH HHS R01 DA030976
6 · The paper itself

Abstract

objectiveAlthough tribes differ with regard to the use of alcohol and drugs, substance dependence is one of the primary sources of health problems facing Native Americans. General population studies have demonstrated that substance dependence has a substantially heritable component (approximately 50% of the risk resulting from genetic influences); however, fewer studies have investigated the role of genetics in the risk for substance dependence in Native Americans.

methodThe authors present a literature review of the evidence for a genetic component in the etiology of substance dependence in Native Americans, including studies of heritability, linkage analyses, and candidate genes.

resultsEvidence for the heritability of alcohol and drug dependence was found. Linkage analyses revealed that genes influencing risk for substance dependence and related phenotypes, such as body mass index (BMI), drug tolerance, EEG patterns, and externalizing traits, reside on several chromosome regions identified in other population samples. Overlap in the gene locations for substance dependence and BMI suggests that a common genetic substrate may exist for disorders of consumption. Studies of the genes that code for alcohol-metabolizing enzymes have not revealed any risk variants specific to Native American populations, although most Native Americans lack protective variants seen in other populations. Other candidate genes associated with substance dependence phenotypes in Native Americans include OPRM1, CRN1, COMT, GABRA2, MAOA, and HTR3-B.

conclusionsSubstance dependence has a substantial genetic component in Native Americans, similar in magnitude to that reported for other populations. The high rates of substance dependence seen in some tribes is likely a combination of a lack of genetic protective factors (metabolizing enzyme variants) combined with genetically mediated risk factors (externalizing traits, consumption drive, and drug sensitivity or tolerance) that combine with key environmental factors (trauma exposure, early age at onset of use, and environmental hardship) to produce an elevated risk for the disorder.

Indexed as

Substance-Related DisordersGene-Environment InteractionGenes, OverlappingGenetic Association StudiesGenetic LinkageGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIndians, North AmericanInheritance PatternsPolymorphism, GeneticRisk FactorsUnited States

Identifiers

PMID23377636
PMCPMC3603686
OpenAlexW2125740962

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.