You are here

Identifying drug targets for neurological and psychiatric disease via genetics and the brain transcriptome.

TitleIdentifying drug targets for neurological and psychiatric disease via genetics and the brain transcriptome.
Publication TypeJournal Article
Year of Publication2021
AuthorsBaird DA, Liu JZ, Zheng J, Sieberts SK, Perumal T, Elsworth B, Richardson TG, Chen C-Y, Carrasquillo MM, Allen M, Reddy JS, De Jager PL, Ertekin-Taner N, Mangravite LM, Logsdon B, Estrada K, Haycock PC, Hemani G, Runz H, Smith GDavey, Gaunt TR
Corporate AuthorsAMP-AD eQTL working group
JournalPLoS Genet
Date Published2021 01
KeywordsAlzheimer Disease, Bipolar Disorder, Brain, Drug Discovery, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Molecular Targeted Therapy, Nervous System Diseases, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Schizophrenia, Transcriptome

Discovering drugs that efficiently treat brain diseases has been challenging. Genetic variants that modulate the expression of potential drug targets can be utilized to assess the efficacy of therapeutic interventions. We therefore employed Mendelian Randomization (MR) on gene expression measured in brain tissue to identify drug targets involved in neurological and psychiatric diseases. We conducted a two-sample MR using cis-acting brain-derived expression quantitative trait loci (eQTLs) from the Accelerating Medicines Partnership for Alzheimer's Disease consortium (AMP-AD) and the CommonMind Consortium (CMC) meta-analysis study (n = 1,286) as genetic instruments to predict the effects of 7,137 genes on 12 neurological and psychiatric disorders. We conducted Bayesian colocalization analysis on the top MR findings (using P<6x10-7 as evidence threshold, Bonferroni-corrected for 80,557 MR tests) to confirm sharing of the same causal variants between gene expression and trait in each genomic region. We then intersected the colocalized genes with known monogenic disease genes recorded in Online Mendelian Inheritance in Man (OMIM) and with genes annotated as drug targets in the Open Targets platform to identify promising drug targets. 80 eQTLs showed MR evidence of a causal effect, from which we prioritised 47 genes based on colocalization with the trait. We causally linked the expression of 23 genes with schizophrenia and a single gene each with anorexia, bipolar disorder and major depressive disorder within the psychiatric diseases and 9 genes with Alzheimer's disease, 6 genes with Parkinson's disease, 4 genes with multiple sclerosis and two genes with amyotrophic lateral sclerosis within the neurological diseases we tested. From these we identified five genes (ACE, GPNMB, KCNQ5, RERE and SUOX) as attractive drug targets that may warrant follow-up in functional studies and clinical trials, demonstrating the value of this study design for discovering drug targets in neuropsychiatric diseases.

Pubmed Link
Alternate JournalPLoS Genet
PubMed ID33417599
PubMed Central IDPMC7819609
Grant ListRF1 AG051504 / AG / NIA NIH HHS / United States
R01 AG061796 / AG / NIA NIH HHS / United States
MR/S003886/1 / MRC_ / Medical Research Council / United Kingdom
U01 AG046139 / AG / NIA NIH HHS / United States
MC_UU_00011/4 / MRC_ / Medical Research Council / United Kingdom
/ WT_ / Wellcome Trust / United Kingdom
C18281/A19169 / CRUK_ / Cancer Research UK / United Kingdom
208806/Z/17/Z / WT_ / Wellcome Trust / United Kingdom
MC_UU_00011/1 / MRC_ / Medical Research Council / United Kingdom
/ DH_ / Department of Health / United Kingdom

Theme by Danetsoft and Danang Probo Sayekti inspired by Maksimer