Evidence map›Paper›PMID 27588522›Full record

SynthesisJournal of studies on alcohol and drugs2016

Meta-Analyses of Genome-Wide Association Data Hold New Promise for Addiction Genetics.

Arpana Agrawal, Howard J Edenberg, Joel Gelernter

Abstract readMeta-Analysis
In one paragraph

Synthesis in Journal of studies on alcohol and drugs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Review
  7. Genetics of alcohol use disorder: a review.Current opinion in psychology · 2019
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. GABAPsychopharmacology · 2018
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. 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

3 authors.

Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri arpana@wustl.edu.
Howard J EdenbergDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana edenberg@iu.edu.
Joel GelernterDepartment of Psychiatry, Genetics, and Neuroscience, Yale University School of Medicine, New Haven, Connecticut.

Funding

Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI JAY Arnold TISCHFIELD · 1989 to 2026
$162.7M
Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
1/4 Psychiatric GWAS Consortium: Genomic Follow-up Next-Gen Sequencing & GenotypiU01MH094421 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2012 to 2015
$1.9M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
NIAAA NIH HHS U10 AA008401NIDA NIH HHS K02 DA032573NIDA NIH HHS R01 DA012690NIMH NIH HHS U01 MH094421NIMH NIH HHS U01 MH109528NIMH NIH HHS U01 MH109532
6 · The paper itself

Abstract

Meta-analyses of genome-wide association study data have begun to lead to promising new discoveries for behavioral and psychiatrically relevant phenotypes (e.g., schizophrenia, educational attainment). We outline how this methodology can similarly lead to novel discoveries in genomic studies of substance use disorders, and discuss challenges that will need to be overcome to accomplish this goal. We illustrate our approach with the work of the newly established Substance Use Disorders workgroup of the Psychiatric Genomics Consortium.

Indexed as

Genome-Wide Association StudyBehavior, AddictiveCase-Control StudiesGenetic Predisposition to DiseaseHumansPhenotypeStatistics as Topic

Identifiers

PMID27588522
PMCPMC5015465

What OpenQuestion holds

Textmetadata
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.