Pharmacogenomics

Clinical pharmacogenetics

Watch scope

Actionable drug-gene interactions in clinical practice. Focus on CPIC Level A and B variants (CYP2D6, CYP2C19, DPYD, TPMT, SLCO1B1, HLA-B*57:01, HLA-B*15:02, NUDT15...), preemptive genotyping programs in hospitals, drug phenoconversions (enzyme inhibitors/inducers), dose recommendations and alerts on serious adverse drug reactions with genetic determinism. Includes CPIC and DPWG guideline updates.

Inclusion / exclusion criteria

Included
  • CPIC Level A or B variants, or strong DPWG recommendation
  • Clinical studies on PGx-guided prescribing
  • CPIC/DPWG guideline updates
  • Impact on serious adverse drug reactions
  • Preemptive genotyping at hospital scale
Excluded
  • Purely preclinical PGx (in vitro, animal models)
  • Studies without direct clinical implications
  • Somatic-only biomarkers
  • Drug interactions without a genetic component
  • Studies on variants of uncertain significance (VUS)

Scoring methodology

Each article is evaluated out of 10 points. Inclusion threshold: score ≥ 5.

  • Clinical impact (0–3)
    Primary criterion. +3: changes practice immediately (CPIC A dose recommendation, prophylactic surgery, deployable tool). +2: likely impact in the short term. +1: indirect contribution to counselling or understanding. 0: fundamental interest only.
  • Strength of evidence (0–3)
    +3: robust causality — functional + multi-family segregation, large prospective cohort, or RCT. +2: good evidence — quality functional alone, cohort ≥10 families or ≥100 patients. +1: partial evidence. 0: preliminary data or single case report.
  • Novelty (0–2)
    +2: unprecedented element (new gene, new CPIC A/B interaction, breakthrough tool). +1: significant extension (phenotypic expansion, VUS→P/LP reclassification, major replication). 0: minor replication or narrative review.
  • Cohort size / robustness (0–1)
    +1 if ≥5 independent cases, ≥100 genotyped patients, cohort ≥1000, open-source code (bioinformatics), or meta-analysis ≥5 studies. 0 otherwise.
  • Journal quality (0–1)
    +1 for a peer-reviewed journal recognised in the specialty (Nat Genet, AJHG, Genet Med, JCO, Pharmacogenomics J, Nat Methods…). 0 otherwise.
  • Preprint penalty (−1)
    −1 for bioRxiv/medRxiv preprints not yet peer-reviewed. The preprint is still included if it carries major information.
Domain-specific note: In pharmacogenetics, clinical impact is the primary criterion (0–3 pts): an immediately applicable CPIC Level A dose recommendation scores +3. Strength of evidence (0–3 pts) distinguishes a preemptive genotyping RCT from a retrospective study. An article with CPIC A + large prospective cohort can reach 9–10/10.

Sources consulted

  • PubMed — CYP2D6, CYP2C19, DPYD, clinical pharmacogenetics query
  • Pharmacogenomics Journal, Clinical Pharmacology & Therapeutics
  • CPT: Pharmacometrics & Systems Pharmacology
  • British Journal of Clinical Pharmacology
  • CPIC (cpicpgx.org) and DPWG (knmp.nl) guidelines

Author

Dr. Thibaut BenqueyMedical biologist specialised in constitutional genomics (WGS/WES), leading SASU Geno'X. Generalist approach to constitutional molecular diagnostics, covering the full spectrum of clinical indications.

Informational document — does not constitute medical advice.