Chapter 1 · Module 5 of 6 · General Principles
Why the same drug and dose produces different outcomes in different patients — pharmacogenomics, age, disease state, and the framework for individualized prescribing
Section 1
Metabolizer Phenotypes and High-Yield Gene-Drug Pairs
High-Yield Gene-Drug Pairs
| Gene / Enzyme | Drug | Drug Type | Clinical Consequence of Variant |
|---|---|---|---|
| CYP2D6 | Codeine | Prodrug | PM: no analgesia. UM: fatal respiratory depression from morphine accumulation. Black box warning — contraindicated in children post-tonsillectomy. |
| CYP2C19 | Clopidogrel | Prodrug | PM: inadequate platelet inhibition → stent thrombosis risk. Black box warning. High PM prevalence in East Asian populations. |
| CYP2C9 | Warfarin | Active drug | PM: reduced clearance → lower maintenance dose required to avoid bleeding. Incorporated into pharmacogenomic dosing algorithms. |
| TPMT | Azathioprine / 6-MP | Prodrug | PM (1 in 300 people): standard dose → life-threatening bone marrow suppression. Pre-treatment TPMT testing is standard of care. |
| HLA-B*5701 | Abacavir | Active drug | Allele present: severe hypersensitivity syndrome — potentially fatal. Mandatory pre-treatment genetic screening eliminates risk entirely. |
Section 2
Pediatric and Geriatric Pharmacology
Pediatric
Immature Systems
Geriatric
Declining Systems
Sections 3 & 4
Organ Impairment Effects and the Pre-Prescribing Checklist
| Organ | Pharmacokinetic Effect | Clinical Consequence | High-Risk Drugs |
|---|---|---|---|
| Kidney | Reduced eGFR → slower elimination of renally cleared drugs | Drug accumulation → toxicity at standard doses. Half-life prolonged proportionally to degree of impairment. | Digoxin, aminoglycosides, lithium, metformin, direct oral anticoagulants |
| Liver | Reduced Phase I and II metabolism; reduced albumin; portosystemic shunting increases oral bioavailability | Drug accumulation; increased free fraction of protein-bound drugs; higher plasma levels from oral doses via reduced first-pass extraction | Most hepatically metabolized drugs; warfarin, benzodiazepines, opioids, statins |
The pre-prescribing checklist for variable drug response: Identify the primary elimination pathway. Check renal function (eGFR). Assess hepatic function (Child-Pugh score if indicated). Review age-related adjustments. Check for available pharmacogenomic tests for this drug. Review concurrent medications for interactions. Narrow therapeutic index drugs demand explicit evaluation of every factor before each prescribing decision.
References
| Author / Source | Title | Publication |
|---|---|---|
| Katzung BG, ed. | Basic and Clinical Pharmacology, 15th edition | McGraw-Hill, 2021 |
| Brunton LL, Knollmann BC, eds. | Goodman & Gilman's The Pharmacological Basis of Therapeutics, 14th edition | McGraw-Hill, 2023 |
| Relling MV, Evans WE | Pharmacogenomics in the clinic | Nature, 2015; 526(7573):343–350 |
| Scott SA | Personalizing medicine with clinical pharmacogenomics | Genetics in Medicine, 2011; 13(12):987–995 |
| Katzung BG, Trevor AJ, eds. | Basic and Clinical Pharmacology, 15th edition | McGraw-Hill, 2021 |
| American Geriatrics Society Beers Criteria Update Expert Panel | American Geriatrics Society 2023 updated AGS Beers Criteria for potentially inappropriate medication use in older adults | Journal of the American Geriatrics Society, 2023; 71(7):2052–2081 |
| Brunton LL, Hilal-Dandan R, Knollmann BC, eds. | Goodman & Gilman's The Pharmacological Basis of Therapeutics, 13th edition | McGraw-Hill, 2018 |
| Waller DG, Sampson AP | Medical Pharmacology and Therapeutics, 5th edition | Elsevier, 2018 |