TY - JOUR
T1 - Using genetic drug-target networks to develop new drug hypotheses for major depressive disorder
AU - Gaspar, Héléna A
AU - Gerring, Zachary
AU - Hübel, Christopher
AU - Middeldorp, Christel M
AU - Derks, Eske M
AU - Breen, Gerome
AU - Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
AU - Mattheisen, Manuel
AU - Agerbo, Esben
AU - Buttenschøn, Henriette Nørmølle
AU - Christensen, Jane Hvarregaard
AU - Grove, Jakob
AU - Pedersen, Carsten Bøcker
AU - Pedersen, Marianne Giørtz
AU - Qvist, Per
AU - Mors, Ole
AU - Mortensen, Preben Bo
AU - Børglum, Anders
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - ASSOCIATION
KW - EFFICACY
KW - GENDER-DIFFERENCES
KW - KETAMINE
KW - PLACEBO
KW - PREGABALIN
KW - RALOXIFENE
KW - RECEPTOR MODULATORS
KW - SIGNATURES
KW - TRIAL
U2 - 10.1038/s41398-019-0451-4
DO - 10.1038/s41398-019-0451-4
M3 - Journal article
C2 - 30877270
SN - 2158-3188
VL - 9
JO - Translational Psychiatry
JF - Translational Psychiatry
IS - 1
M1 - 117
ER -