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Identifying drug targets for schizophrenia through gene prioritization
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  • Published: 04 February 2026

Identifying drug targets for schizophrenia through gene prioritization

  • Julia Kraft  ORCID: orcid.org/0000-0001-7306-11791,2,3 na1,
  • Alice Braun1,2,3 na1,
  • Swapnil Awasthi1,2,3,
  • Georgia Panagiotaropoulou1,2,3,
  • Marijn Schipper  ORCID: orcid.org/0000-0002-5170-27964,
  • Nathaniel Bell  ORCID: orcid.org/0000-0002-0543-56234,
  • Danielle Posthuma4,5,
  • Antonio F. Pardiñas  ORCID: orcid.org/0000-0001-6845-75906,
  • Stephan Ripke  ORCID: orcid.org/0000-0003-3622-835X1,2,3 na2 &
  • Karl Heilbron  ORCID: orcid.org/0000-0003-4776-17231,2,3 na2 nAff7
  • on behalf of the Schizophrenia Working Group of the Psychiatric Genomics Consortium

Translational Psychiatry , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Drug discovery
  • Genetics
  • Schizophrenia

Abstract

Schizophrenia genome-wide association studies (GWASes) have identified >250 significant loci and prioritized >100 disease-related genes. However, gene prioritization efforts have mostly been restricted to locus-based methods that ignore information from the rest of the genome. To more accurately characterize genes involved in schizophrenia etiology, we applied a combination of highly-predictive tools to a published GWAS of 67,390 schizophrenia cases and 94,015 controls. We combined both locus-based methods (fine-mapped coding variants, distance to GWAS signals) and genome-wide methods (PoPS, MAGMA, ultra-rare coding variant burden tests). We extracted genes that 1) are targeted by existing drugs that could potentially be repurposed for schizophrenia, 2) are predicted to be druggable, or 3) may be testable in rodent models. We prioritized 101 schizophrenia genes, including 15 that are targeted by approved or investigational drugs (e.g., DRD2, GRIN2A, CACNA1C, GABBR2). Of these, 7 have never been tested in clinical trials for schizophrenia or other psychiatric disorders (e.g., AKT3). Seven genes are not targeted by any existing small molecule drugs, but are predicted to be druggable (e.g., GRM1). We prioritized two potentially druggable genes in loci that are shared with an addiction GWAS (PDE4B and VRK2). We curated a high-quality list of 101 genes that likely play a role in the development of schizophrenia. Developing or repurposing drugs that target these genes may lead to a new generation of schizophrenia therapies. Rodent models of addiction more closely resemble the human disorder than rodent models of schizophrenia. As such, genes prioritized for both disorders could be explored in rodent addiction models, potentially facilitating drug development.

Data availability

ChEMBL Database: https://www.ebi.ac.uk/chembl/, HRC reference release 1.1: https://ega-archive.org/datasets/EGAD00001002729, Gencode release 44: https://www.gencodegenes.org/human/release_44.html, OpenTargets platform: https://platform-docs.opentargets.org/, The PGC3 GWAS core dataset is available through the PGC data access portal: https://pgc.unc.edu/for-researchers/data-access-committee/data-access-portal/, Summary statistics of the PGC3 GWAS are freely available for download: https://pgc.unc.edu/for-researchers/download-results/

Code availability

Custom code used in the presented study is stored at https://github.com/kheilbron/cojo_pipe and https://github.com/kheilbron/brett, Additional software and code: COJO: https://yanglab.westlake.edu.cn/software/gcta/#COJO coloc: https://github.com/chr1swallace/coloc MAGMA: https://cncr.nl/research/magma/ PLINK 1.9: https://www.cog-genomics.org/plink/ PoPS: https://github.com/FinucaneLab/pops PsyOPS: https://github.com/Wainberg/PsyOPS

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Acknowledgements

We thank SURF (www.surf.nl) for the support in using the Snellius National Supercomputer. JK and SR were supported by the German Center for Mental Health (DZPG). AB, JK, AFP, and SR were supported by the European Union’s Horizon program (101057454, “PsychSTRATA”). AB and SR were supported by The German Research Foundation (402170461, grant “TRR265”). DP and MS were supported by The Netherlands Organization for Scientific Research (NWO Gravitation: BRAINSCAPES: A Roadmap from Neurogenetics to Neurobiology - Grant No. 024.004.012). DP was supported by The European Research Council (Advanced Grant No ERC-2018-AdG GWAS2FUNC 834057). AFP, NB, and DP were supported by the European Union’s Horizon program (964874, “REALMENT”). AFP was supported by an Academy of Medical Sciences “Springboard” award (SBF005\1083). KH was supported by a Humboldt Research Fellowship from the Alexander von Humboldt Foundation. GP, SA, DP, SR, and the research reported in this publication were supported by the National Institute Of Mental Health of the National Institutes of Health under Award Number R01MH124873. The content is the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Funding

Open Access funding enabled and organized by Projekt DEAL.

Author information

Author notes
  1. Karl Heilbron

    Present address: Bayer AG, Research & Development, Pharmaceuticals, Berlin, Germany

  2. These authors contributed equally: Julia Kraft, Alice Braun.

  3. These authors jointly supervised this work: Stephan Ripke, Karl Heilbron.

  4. A full list of members and their affiliations appears in the Supplementary Information.

Authors and Affiliations

  1. Department of Psychiatry and Psychotherapy, Charité – Universitätsmedizin Berlin, Berlin, Germany

    Julia Kraft, Alice Braun, Swapnil Awasthi, Georgia Panagiotaropoulou, Stephan Ripke & Karl Heilbron

  2. Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA

    Julia Kraft, Alice Braun, Swapnil Awasthi, Georgia Panagiotaropoulou, Stephan Ripke & Karl Heilbron

  3. German Center for Mental Health (DZPG), partner site Berlin/Potsdam, Berlin, Germany

    Julia Kraft, Alice Braun, Swapnil Awasthi, Georgia Panagiotaropoulou, Stephan Ripke & Karl Heilbron

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Marijn Schipper, Nathaniel Bell & Danielle Posthuma

  5. Department of Child and Adolescent Psychiatry and Pediatric Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam, The Netherlands

    Danielle Posthuma

  6. Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK

    Antonio F. Pardiñas

Authors
  1. Julia Kraft
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  2. Alice Braun
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  4. Georgia Panagiotaropoulou
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  5. Marijn Schipper
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  8. Antonio F. Pardiñas
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Consortia

on behalf of the Schizophrenia Working Group of the Psychiatric Genomics Consortium

  • Julia Kraft
  • , Alice Braun
  • , Swapnil Awasthi
  • , Georgia Panagiotaropoulou
  • , Danielle Posthuma
  • , Antonio F. Pardiñas
  •  & Stephan Ripke

Contributions

JK: software, methodology, validation, formal analysis, writing - original draft, visualization. AB: software, methodology, validation, formal analysis, writing - original draft, visualization. SA: validation, writing - review & editing. GP: validation, writing - review & editing. MS: validation, writing - review & editing. NB: validation, writing - review & editing. DP: supervision, resources, funding acquisition, writing - review & editing. AFP: validation, writing - review & editing. The Schizophrenia Working Group of the Psychiatric Genomics Consortium provided all schizophrenia genome-wide association study results. SR: conceptualization, validation, supervision, resources, funding acquisition, writing - review & editing. KH: conceptualization, methodology, software, validation, formal analysis, writing - original draft, visualization, supervision.

Corresponding author

Correspondence to Karl Heilbron.

Ethics declarations

Competing interests

JK, AB, SA, GP, MS, NB, DP, and SR have nothing to disclose. AFP reports receiving a grant from Akrivia Health for a project unrelated to this submission. KH is a former employee of 23andMe, Inc. and owns 23andMe, Inc. stock options.

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Supplementary information

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Kraft, J., Braun, A., Awasthi, S. et al. Identifying drug targets for schizophrenia through gene prioritization. Transl Psychiatry (2026). https://doi.org/10.1038/s41398-026-03813-0

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  • Received: 01 February 2025

  • Revised: 05 December 2025

  • Accepted: 20 January 2026

  • Published: 04 February 2026

  • DOI: https://doi.org/10.1038/s41398-026-03813-0

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