Evidence map›Paper›PMID 39399035›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Leveraging the Genetics of Psychiatric Disorders to Prioritize Potential Drug Targets and Compounds.

Nadine Parker, Elise Koch, Alexey A Shadrin, Julian Fuhrer, Guy F L Hindley, Sara Stinson, Piotr Jaholkowski, Markos Tesfaye, Anders M Dale, Thomas S Wingo and 5 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Nadine ParkerCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Elise KochCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Alexey A ShadrinCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Julian FuhrerCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Guy F L HindleyCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Sara StinsonCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Piotr JaholkowskiCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Markos TesfayeCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Anders M DaleMultimodal Imaging Laboratory, University of California San Diego, La Jolla, CA, USA.
Thomas S WingoDepartment of Neurology, University of California, Davis, Sacramento, CA USA.
Aliza P WingoDepartment of Psychiatry, University of California, Davis, Sacramento, CA, USA.
Oleksandr FreiCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Kevin S O'ConnellCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Olav B SmelandCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.
Ole A AndreassenCentre for Precision Psychiatry, University of Oslo and Oslo University Hospital, Oslo, Norway.

Funding

OTA-21-015A Post-Acute Sequelae of SARS-CoV-2 Infection Initiative: NYU Langone Health Clinical Science Core, Data Resource Core, and PASC Biorepository CoreOT2HL161847 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI GROSS, RACHEL SHARON, HORWITZ, LEORA · 2021 to 2025
$651.0M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Healthy Brain and Child Development National Consortium Data Coordinating CenterU24DA055330 · NIDA · WASHINGTON UNIVERSITY · PI ANDERS M DALE, Damien A Fair · 2021 to 2026
$34.6M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Charles DeCarli, Rachel A Whitmer · 2021 to 2026
$25.2M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
3/7 Psychiatric Genomics Consortium: Advancing Discovery and ImpactR01MH124839 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ANDREASSEN, OLE A, HUCKINS, LAURA MARIANNE · 2021 to 2025
$2.0M
NHLBI NIH HHS OT2 HL161847NIA NIH HHS P30 AG072972NIA NIH HHS R01 AG076838NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA055330NIMH NIH HHS R01 MH124839
6 · The paper itself

Abstract

Background: Genetics has the potential to inform biologically relevant drug treatment and repurposing which may ultimately improve patient care. In this study, we combine methods which leverage the genetics of psychiatric disorders to prioritize potential drug targets and compounds. Methods: We used the largest available genome-wide association studies, in European ancestry, of four psychiatric disorders [i.e., attention deficit hyperactivity disorder (ADHD), bipolar disorder, depression, and schizophrenia] along with genes encoding drug targets. With this data, we conducted drug enrichment analyses incorporating the novel and biologically specific GSA-MiXeR tool. We then conducted a series of molecular trait analyses using large-scale transcriptomic and proteomic datasets sampled from brain and blood tissue. This included the novel use of the UK Biobank proteomic data for a proteome-wide association study of psychiatric disorders. With the accumulated evidence, we prioritize potential drug targets and compounds for each disorder. Findings: We reveal candidate drug targets shared across multiple disorders as well as disorder-specific targets. Drug prioritization indicated genetic support for several currently used psychotropic medications including the antipsychotic paliperidone as the top ranked drug for schizophrenia. We also observed genetic support for other commonly used psychotropics (e.g., clozapine, risperidone, duloxetine, lithium, and valproic acid). Opportunities for drug repurposing were revealed such as cholinergic drugs for ADHD, estrogens for depression, and gabapentin enacarbil for schizophrenia. Our findings also indicate the genetic liability to schizophrenia is associated with reduced brain and blood expression of Interpretation: Here we present a series of complimentary and comprehensive analyses that highlight the utility of genetics for informing drug development and repurposing for psychiatric disorders. Our findings present novel opportunities for refining psychiatric treatment.

Identifiers

PMID39399035
PMCPMC11469398

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.