Evidence map›Paper›PMID 37473490›Full record

ArticlePsychiatry research2023

Identification of drug repurposing candidates for the treatment of anxiety: A genetic approach.

Damian J Woodward, Jackson G Thorp, Wole Akosile, Jue-Sheng Ong, Eric R Gamazon, Eske M Derks, Zachary F Gerring

Open access · bronzeAbstract read
In one paragraph

Article in Psychiatry research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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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

7 authors at 4 institutions in 3 countries.

Damian J WoodwardMental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia; School of Biomedical Science, Queensland University of Technology, Kelvin Grove, QLD, Australia. Electronic address: Damian.Woodward@qimrberghofer.edu.au.
Jackson G ThorpMental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
Wole AkosileSchool of Medicine, University of Queensland, St Lucia, QLD, Australia.
Jue-Sheng OngPopulation Health Department, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
Eric R GamazonVanderbilt Genetics Institute, Vanderbilt University Medical Centre, Nashville, TN, USA; Clare Hall, University of Cambridge, Cambridge, UK.
Eske M DerksMental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia.
Zachary F GerringMental Health and Neuroscience, QIMR Berghofer Medical Research Institute, Herston, QLD, Australia. Electronic address: Zachary.Gerring@qirmberghofer.edu.au.
QIMR Berghofer Medical Research Institute · AUQueensland University of Technology · AUThe University of Queensland · AUVanderbilt University · US

Funding

Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populationsR01GM140287 · NIGMS · SEATTLE CHILDREN'S HOSPITAL · PI GAMAZON, ERIC R, MOHAMMADI, PEJMAN · 2021 to 2024
$2.8M
Clinical Decision Support for Unsolicited Genomic ResultsR35HG010714 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI TAYLOR, CASEY OVERBY · 2020 to 2024
$2.8M
Functional Genomics: A Phenome-wide SurveyR35HG010718 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2019 to 2023
$2.2M
Advancing Multi-Omics and Electronic Health Records Computational MethodologiesR01HG011138 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2020 to 2024
$1.6M
Advancing drug repositioning and development for Alzheimer's Disease using functional genomics and computational phenomicsR56AG068026 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2021 to 2022
$1.5M
NHGRI NIH HHS R01 HG011138NHGRI NIH HHS R35 HG010714NHGRI NIH HHS R35 HG010718NIA NIH HHS R56 AG068026NIGMS NIH HHS R01 GM140287
6 · The paper itself

Abstract

Anxiety disorders are a group of prevalent and heritable neuropsychiatric diseases. We previously conducted a genome-wide association study (GWAS) which identified genomic loci associated with anxiety; however, the biological consequences underlying the genetic associations are largely unknown. Integrating GWAS and functional genomic data may improve our understanding of the genetic effects on intermediate molecular phenotypes such as gene expression. This can provide an opportunity for the discovery of drug targets for anxiety via drug repurposing. We used the GWAS summary statistics to determine putative causal genes for anxiety using MAGMA and colocalization analyses. A transcriptome-wide association study was conducted to identify genes with differential genetically regulated levels of gene expression in human brain tissue. The genes were integrated with a large drug-gene expression database (Connectivity Map), discovering compounds that are predicted to "normalise" anxiety-associated expression changes. The study identified 64 putative causal genes associated with anxiety (35 genes upregulated; 29 genes downregulated). Drug mechanisms adrenergic receptor agonists, sigma receptor agonists, and glutamate receptor agonists gene targets were enriched in anxiety-associated genetic signal and exhibited an opposing effect on the anxiety-associated gene expression signature. The significance of the project demonstrated genetic links for novel drug candidates to potentially advance anxiety therapeutics.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAnxietyAnxiety DisordersDrug RepositioningHumansPolymorphism, Single NucleotideTranscriptomeAnxietyBioinformaticsColocalizationDrug repurposingGenome-wide association studiesTranscriptome-wide association study

Identifiers

PMID37473490
PMCPMC10493169
OpenAlexW4383956550

What OpenQuestion holds

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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.