Evidence map›Paper›PMID 34124712›Full record

ArticleExploration of medicine2021

Genome-wide association study of phenotypes measuring progression from first cocaine or opioid use to dependence reveals novel risk genes.

Richard Sherva, Congcong Zhu, Leah Wetherill, Howard J Edenberg, Emma Johnson, Louisa Degenhardt, Arpana Agrawal, Nicholas G Martin, Elliot Nelson, Henry R Kranzler and 2 more

Abstract read
In one paragraph

Article in Exploration of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. The use ofFrontiers in cell and developmental biology · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

12 authors.

Richard ShervaDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA.
Congcong ZhuDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA.
Leah WetherillDepartment of Medical and Molecular Genetics and Biochemistry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Howard J EdenbergDepartment of Medical and Molecular Genetics and Biochemistry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Emma JohnsonDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110, USA.
Louisa DegenhardtNational Drug and Alcohol Research Centre, University of New South Wales, Sydney, NSW 2052, Australia.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110, USA.
Nicholas G MartinQueensland Institute of Medical Research Berghofer, Brisbane, QLD 4006, Australia.
Elliot NelsonDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO 63110, USA.
Henry R KranzlerPerelman School of Medicine, University of Pennsylvania and VISN 4 MIRECC, Crescenz VAMC, Philadelphia, PA 19104, USA.
Joel GelernterDepartments of Psychiatry, Genetics and Neuroscience, Yale School of Medicine, New Haven, CT 06511, USA.
Lindsay A FarrerDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA 02118, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
Sex-specific analysis of opioid dependence GWAS and beyondR01DA012690 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2000 to 2017
$14.0M
GENETICS OF COCAINE DEPENDENCER01DA012849 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1999 to 2010
$11.5M
Linkage Disequilibrium Studies of Alcohol DependenceR01AA011330 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 1997 to 2013
$6.4M
Genomewide Association Study of Cocaine Dependence in two PopulationsRC2DA028909 · NIDA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2010
$4.2M
Genetics of Cocaine DependenceR01DA018432 · NIDA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KRANZLER, HENRY RICHARD · 2006 to 2010
$3.5M
Genetics of Alcohol Dependence in African-AmericansR01AA017535 · NIAAA · YALE UNIVERSITY · PI GELERNTER, JOEL · 2009 to 2013
$3.0M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS P50 AA012870NIAAA NIH HHS R01 AA011330NIAAA NIH HHS R01 AA017535NIDA NIH HHS R01 DA012690NIDA NIH HHS R01 DA012849NIDA NIH HHS R01 DA018432NIDA NIH HHS RC2 DA028909
6 · The paper itself

Abstract

aimSubstance use disorders (SUD) result in substantial morbidity and mortality worldwide. Opioids, and to a lesser extent cocaine, contribute to a large percentage of this health burden. Despite their high heritability, few genetic risk loci have been identified for either opioid or cocaine dependence (OD or CD, respectively). A genome-wide association study of OD and CD related phenotypes reflecting the time between first self-reported use of these substances and a first DSM-IV dependence diagnosis was conducted.

methodsCox proportional hazards regression in a discovery sample of 6,188 African-Americans (AAs) and 6,835 European-Americans (EAs) participants in a genetic study of multiple substance dependence phenotypes were used to test for association between genetic variants and these outcomes. The top findings were tested for replication in two independent cohorts.

resultsIn the discovery sample, three independent regions containing variants associated with time to dependence at

conclusionsAlthough the two GWS variants are not in genes with obvious links to SUD biology and have modest effect sizes, they are statistically robust and show evidence for association in independent samples. These results may point to novel pathways contributing to disease progression and highlight the utility of related phenotypes to better understand the genetics of SUDs.

Indexed as

cocaine use disordersFAM78BgeneticsGWASopioid use disordersSubstance use disorders

Identifiers

PMID34124712
PMCPMC8192073

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.