PGxDB

PGxDB (Pharmacogenomics database) is a one-stop shop for pharmacogenomics research offering:

  • Reference data (see Data box)
  • Tools to to compare and customize analysis on high-level indication areas, find and interlink diverse variant effect predictions, associate these to annotated drug response variability associations and interrogate disease or medication associations
  • Tools explore relationship between ATC-level indexed medications, their molecular target profiles in terms of metabolizing enzymes, transporters, and drug targets

Data in PGxDB can be accessed by

  • Any drug
  • Target, enzyme, or transporter
  • Disease
  • Variant

Drug Anatomical Groups

Drug Clinical Statuses

Protein Super Families

Drug-protein Interaction Modes

Why pharmacogenomics?

Trends in GPCR drug discovery: new agents, targets and indications.
Hauser, A. S., Attwood, M. M., Rask-Andersen, M., Schiöth, H. B., & Gloriam, D. E. (2017).
Nature reviews Drug discovery, 2017, 16(12), 829-842.

Pharmacogenomics of GPCR drug targets.
Hauser, A. S., Chavali, S., Masuho, I., Jahn, L. J., Martemyanov, K. A., Gloriam, D. E., & Babu, M. M. (2018).
Cell 2018, 172(1), 41-54.

Related resources

Drugbank, Genebass, PharmgKB, Ensembl, ChEMBL, UniProt, GRCh38, ClinicalTrials.Gov, SIDER, DisGeNet, and RepurposeDrugs, cover related aspects of how genetic variants affect drug metabolism and drug response.

Release & Accessibility


First release: to be in Aug-2024
Accessibility: This website is freely accessible to all users

Introduction video

Data

  1. 6,504
    Drugs (3,676 with ATC codes)
  2. ~1,600
    Indications (diseases) associated with ~1,800 drugs in ~19,000 associations
  3. 2,969
    Interacting proteins spanning 22,909 drug-protein interactions
  4. ~1,3 mil
    Unique genetics variants (~5,200 influencing drug responses)
  5. 4,897,436
    Variant effects from > 40 algorithms
  6. 2,022,419
    Gene-based association statistics burden test scores
  7. 2,651,948
    Variant-based association statistics burden test scores