Using genetic drug-target networks to develop new drug hypotheses for major depressive disorder

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Héléna A Gaspar, Social, Genetic and Developmental Psychiatry (SGDP) Centre, National Institute for Health Research Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK.
  • ,
  • Zachary Gerring, QIMR Berghofer Institute of Medical Research
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  • Christopher Hübel, Social, Genetic and Developmental Psychiatry (SGDP) Centre, National Institute for Health Research Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK., Karolinska Institutet
  • ,
  • Christel M Middeldorp, University of Queensland, Children’s Health Queensland Hospital and Health Service, Vrije Universiteit Amsterdam
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  • Eske M Derks, QIMR Berghofer Institute of Medical Research
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  • Gerome Breen, King’s College London, National Institute for Health Research Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK.
  • ,
  • Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium

The major depressive disorder (MDD) working group of the Psychiatric Genomics Consortium (PGC) has published a genome-wide association study (GWAS) for MDD in 130,664 cases, identifying 44 risk variants. We used these results to investigate potential drug targets and repurposing opportunities. We built easily interpretable bipartite drug-target networks integrating interactions between drugs and their targets, genome-wide association statistics, and genetically predicted expression levels in different tissues, using the online tool Drug Targetor ( drugtargetor.com ). We also investigated drug-target relationships that could be impacting MDD. MAGMA was used to perform pathway analyses and S-PrediXcan to investigate the directionality of tissue-specific expression levels in patients vs. controls. Outside the major histocompatibility complex (MHC) region, 153 protein-coding genes are significantly associated with MDD in MAGMA after multiple testing correction; among these, five are predicted to be down or upregulated in brain regions and 24 are known druggable genes. Several drug classes were significantly enriched, including monoamine reuptake inhibitors, sex hormones, antipsychotics, and antihistamines, indicating an effect on MDD and potential repurposing opportunities. These findings not only require validation in model systems and clinical examination, but also show that GWAS may become a rich source of new therapeutic hypotheses for MDD and other psychiatric disorders that need new-and better-treatment options.

Original languageEnglish
Article number117
JournalTranslational Psychiatry
Volume9
Issue1
Number of pages9
ISSN2158-3188
DOIs
Publication statusPublished - 2019

    Research areas

  • ASSOCIATION, EFFICACY, GENDER-DIFFERENCES, KETAMINE, PLACEBO, PREGABALIN, RALOXIFENE, RECEPTOR MODULATORS, SIGNATURES, TRIAL

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