Evidence map›Paper›PMID 24675634›Full record

ArticleScientific reports2014

Variants near CHRNB3-CHRNA6 are associated with DSM-5 cocaine use disorder: evidence for pleiotropy.

Brooke Sadler, Gabe Haller, Arpana Agrawal, Rob Culverhouse, Kathleen Bucholz, Andy Brooks, Jay Tischfield, Eric O Johnson, Howard Edenberg, Marc Schuckit and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Environmental, genetic and epigenetic contributions to cocaine addiction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

13 authors at 6 institutions in 1 country.

Brooke Sadler1] School of Human Evolution and Social Change, Arizona State University, Tempe, AZ, USA [2] Department of Psychiatry, Washington University, St. Louis, MO, USA.
Gabe Haller1] Department of Psychiatry, Washington University, St. Louis, MO, USA [2] Department of Genetics, Washington University, St. Louis, MO, USA.
Arpana AgrawalDepartment of Psychiatry, Washington University, St. Louis, MO, USA.
Rob CulverhouseDepartment of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Kathleen BucholzDepartment of Psychiatry, Washington University, St. Louis, MO, USA.
Andy BrooksDepartment of Genetics, Rutgers University, Piscataway, NJ.
Jay TischfieldDepartment of Genetics, Rutgers University, Piscataway, NJ.
Eric O JohnsonDivision of Health, Social and Economic Research, Research Triangle Institute International, Research Triangle Park, NC.
Howard EdenbergDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN.
Marc SchuckitDepartment of Psychiatry, University of California-San Diego, La Jolla, CA.
Nancy SacconeDepartment of Genetics, Washington University, St. Louis, MO, USA.
Laura BierutDepartment of Psychiatry, Washington University, St. Louis, MO, USA.
Alison Goate1] Department of Psychiatry, Washington University, St. Louis, MO, USA [2] Department of Genetics, Washington University, St. Louis, MO, USA.
Washington University in St. Louis · USRutgers, The State University of New Jersey · USArizona State University · USIndiana University – Purdue University Indianapolis · USRTI International · USUniversity of California, San Diego · 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
DEVELOPING STRATEGIES FOR JOINT GENE-ENVIRONMENT ANALYSISR21DA033827 · NIDA · WASHINGTON UNIVERSITY · PI CULVERHOUSE, ROBERT C · 2011 to 2012
$418k
NCI NIH HHS P01 CA089392NCI NIH HHS P01 CA89392NIAAA NIH HHS U10 AA008401NIAAA NIH HHS U10AA008401NIDA NIH HHS R21 DA033827
6 · The paper itself

Abstract

In the U.S.A., cocaine is the second most abused illicit drug. Variants within the CHRNB3-A6 gene cluster have been associated with cigarette consumption in several GWAS. These receptors represent intriguing candidates for the study of cocaine dependence because nicotinic receptors are thought to be involved in generalized addiction pathways. Using genotypic data from a GWAS of the Study of Addiction: Genetics and Environment (SAGE) dataset, we tested for association of CHRNB3-A6 SNPs with DSM-5 cocaine use disorder. Multiple SNPs in the region were significantly associated with increased risk of cocaine use disorder. Inclusion of the most significant SNP as a covariate in a linear regression model provided evidence for an additional independent signal within this locus for cocaine use disorder. These results suggest that the CHRNB3-A6 locus contains multiple variants affecting risk for vulnerability to cocaine and nicotine dependence as well as bipolar disorder, suggesting that they have pleiotropic effects.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationAllelesBipolar DisorderCocaine-Related DisordersGene FrequencyHaplotypesHumansLinkage DisequilibriumOdds RatioPolymorphism, Single NucleotideReceptors, NicotinicTobacco Use DisorderCHRNA6 protein, humanCHRNB3 protein, humanReceptors, Nicotinic

Identifiers

PMID24675634
PMCPMC4894386
OpenAlexW2107737572

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.