Evidence map›Paper›PMID 33457110›Full record

ArticleCurrent genetic medicine reports2020

An update on the role of common genetic variation underlying substance use disorders.

Emma C Johnson, Yoonhoo Chang, Arpana Agrawal

Abstract read
In one paragraph

Article in Current genetic medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genetic overlap between mood instability and alcohol-related phenotypes suggests shared biological underpinnings.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  5. Article
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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.

Emma C JohnsonDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO.
Yoonhoo ChangDivision of Biology and Biomedical Sciences, Washington University School of Medicine, Saint Louis, MO.
Arpana AgrawalDepartment of Psychiatry, Washington University School of Medicine, Saint Louis, MO.

Funding

7/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109532 · NIMH · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA, EDENBERG, HOWARD J · 2016 to 2020
$3.1M
DELINEATING THE ROLE OF GENETIC INFLUENCES ON CANNABIS INVOLVEMENTK02DA032573 · NIDA · WASHINGTON UNIVERSITY · PI AGRAWAL, ARPANA · 2012 to 2021
$1.1M
Identifying Contributions to the Genetic Correlation Between Alcohol Use Disorders and SchizophreniaF32AA027435 · NIAAA · WASHINGTON UNIVERSITY · PI JOHNSON, EMMA COVEY · 2018 to 2020
$133k
NIAAA NIH HHS F32 AA027435NIDA NIH HHS K02 DA032573NIMH NIH HHS U01 MH109532
6 · The paper itself

Abstract

purpose of the reviewSample size increases have resulted in novel and replicable loci for substance use disorders (SUDs). We summarize some of the latest insights into SUD genetics and discuss some next steps in addiction genetics. RECENT

findingsGenome-wide association studies have substantiated the role of previously known variants (e.g., rs1229984 in SUMMARY: The next decade of human genetic studies of addiction should focus on expanding to non-European populations, consider pleiotropy across SUD and with other psychiatric disorders, and leverage human and cross-species functional data to elucidate the biological mechanisms underlying SUDs.

Indexed as

addiction geneticsgenome-wide association studiespsychiatric geneticssingle-nucleotide polymorphismstatistical geneticsSubstance use disorders

Identifiers

PMID33457110
PMCPMC7810203

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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.