CHAPTER 1 · GENERAL PRINCIPLES

Section 1

Pharmacogenomics

How inherited genetic variation determines why the same drug and dose produces different effects in different patients

Two patients receive identical doses of the same drug. One achieves a therapeutic response. The second experiences toxicity. A third gets no effect at all. This pattern, repeated across drug classes and patient populations, is the clinical face of pharmacogenomics: the study of how genetic variation influences drug response. Understanding the basic mechanisms explains some of the most important and preventable drug harms in clinical practice.

Metabolizer Phenotypes

Genetic variation in drug-metabolizing enzymes produces a spectrum of enzyme activity across the population. Four phenotypes are defined. Poor metabolizers carry genetic variants that abolish enzyme activity entirely. Intermediate metabolizers have reduced activity. Extensive metabolizers — the majority of the population — have normal activity. Ultrarapid metabolizers have increased activity, usually because they carry extra copies of the gene encoding the enzyme.

The clinical consequence of these phenotypes depends on whether the drug being metabolized is an active compound or a prodrug that requires metabolic activation. For an active drug, poor metabolizers accumulate higher drug concentrations and are at increased risk of dose-dependent toxicity at standard doses. Ultrarapid metabolizers clear the drug so rapidly that standard doses fail to reach therapeutic concentrations. For a prodrug requiring metabolic activation to its active form, the consequences reverse: poor metabolizers generate insufficient active drug and may not respond to treatment, while ultrarapid metabolizers generate toxic concentrations of the active metabolite.

CYP2D6 and Codeine: The Prototypical Example

Codeine is a prodrug that must be converted by the cytochrome P450 2D6 enzyme to morphine, its active analgesic metabolite. In poor metabolizers, this conversion does not occur: codeine produces no meaningful analgesia because morphine is never generated. In ultrarapid metabolizers, the conversion is so rapid and complete that a standard codeine dose generates morphine concentrations equivalent to a much larger morphine dose, causing respiratory depression and potentially fatal toxicity.

Both ends of this spectrum produce preventable patient harm. The ultrarapid metabolizer risk is particularly serious in nursing mothers: a case of fatal neonatal morphine toxicity from a mother who was a cytochrome P450 2D6 ultrarapid metabolizer taking standard doses of codeine led the FDA to add a black box warning to codeine and to restrict its use in breastfeeding mothers and pediatric patients. This single example illustrates why metabolizer phenotype is clinically consequential, not an academic curiosity.

CYP2C19 and Clopidogrel: Prodrug Activation Failure

Clopidogrel is an antiplatelet prodrug that requires cytochrome P450 2C19 enzyme activity to generate its active metabolite, which irreversibly inhibits platelet aggregation. In poor metabolizers of cytochrome P450 2C19 — a group that includes a significant proportion of East Asian patients and a smaller but meaningful proportion of European patients — clopidogrel activation is severely impaired. These patients have inadequate platelet inhibition at standard doses and are at elevated risk of stent thrombosis and recurrent myocardial infarction after percutaneous coronary intervention. The FDA added a black box warning stating that poor metabolizers may not receive full benefit from clopidogrel and that testing is available to identify them.

CYP2C9 and Warfarin

Warfarin is metabolized primarily by cytochrome P450 2C9. Poor metabolizers of this enzyme have markedly reduced warfarin clearance and require substantially lower doses to achieve therapeutic anticoagulation — sometimes as little as half the typical dose. Cytochrome P450 2C9 genotyping is one component of pharmacogenomic-guided warfarin dosing algorithms, alongside variants in the vitamin K epoxide reductase gene that affects warfarin’s pharmacodynamic target.

TPMT and Thiopurines: Life-Threatening Toxicity Without Testing

Thiopurine methyltransferase is the enzyme that inactivates thiopurine drugs including azathioprine and 6-mercaptopurine, which are used in inflammatory bowel disease, organ transplant immunosuppression, and leukemia. Approximately one in three hundred patients is a thiopurine methyltransferase poor metabolizer, carrying two non-functional alleles. In these patients, standard thiopurine doses are not inactivated normally; instead, they are shunted into pathways that generate toxic active metabolites at high concentrations, causing profound bone marrow suppression that can be fatal. Testing thiopurine methyltransferase activity or genotype before starting thiopurine therapy is standard practice and can prevent this predictable, catastrophic adverse effect.

HLA Alleles and Immune-Mediated Drug Reactions

Some severe immune-mediated drug reactions are tightly associated with specific variants in human leukocyte antigen genes. These variants alter the way the immune system presents drug molecules to T lymphocytes, triggering a damaging immune response in susceptible individuals. The most clinically established example is the association between the HLA-B*5701 allele and abacavir hypersensitivity. Abacavir, an antiretroviral drug used in HIV treatment, causes a severe and potentially fatal hypersensitivity syndrome in approximately 8 percent of patients — but almost exclusively in those who carry HLA-B*5701. Prospective genotyping before initiating abacavir is now mandated in all HIV treatment guidelines and has virtually eliminated abacavir hypersensitivity in genotyped populations. HLA-B*1502 is similarly associated with severe cutaneous reactions to carbamazepine in Southeast Asian populations, leading to mandatory pre-treatment testing recommendations in those populations.

The Practical Takeaway for Second-Year Students

Pharmacogenomics is not a future technology — it is current clinical practice for a specific list of high-stakes gene-drug pairs. The Step 1-relevant pairs are: cytochrome P450 2D6 and codeine (prodrug activation, ultrarapid metabolizer toxicity); cytochrome P450 2C19 and clopidogrel (prodrug activation failure in poor metabolizers); thiopurine methyltransferase and azathioprine/6-mercaptopurine (life-threatening bone marrow suppression in poor metabolizers); HLA-B*5701 and abacavir (severe hypersensitivity, mandated pre-treatment testing). Know the mechanism for each pair and the clinical consequence.


Section 2

Age-Related Variability

How drug handling and drug effects differ at the extremes of age, and why standard adult doses are often inappropriate for pediatric and elderly patients

Age is one of the most reliably predictable sources of variability in drug response. At both ends of the lifespan — in neonates and infants on one side, and in older adults on the other — pharmacokinetics and pharmacodynamics differ substantially from those of a healthy young adult, and dosing practices that ignore these differences cause preventable harm.

Pediatric Pharmacology

Children are not simply small adults. Drug-metabolizing enzymes, particularly the cytochrome P450 system, are immature at birth and reach adult activity levels at different rates for different enzymes over the first years of life. Neonates and young infants metabolize many drugs more slowly than adults, leading to drug accumulation at doses that would be safe in older patients. The classic historical example is the gray baby syndrome from chloramphenicol: neonates lack sufficient glucuronosyltransferase activity to conjugate and eliminate chloramphenicol, and standard doses accumulated to toxic concentrations causing cardiovascular collapse. Renal function at birth is also a fraction of adult capacity and matures over the first two years of life, further reducing drug elimination for renally cleared drugs.

On the other side, toddlers and young children often metabolize certain drugs faster than adults on a weight-adjusted basis, requiring higher weight-based doses to achieve therapeutic concentrations. Dosing in pediatrics is almost always weight-based (milligrams per kilogram) rather than fixed, and age-specific pharmacokinetic considerations must be applied explicitly. Using adult doses for children, or extrapolating pediatric doses from adult data without adjustment, is a leading category of preventable medication errors in the pediatric setting.

Geriatric Pharmacology

In older adults, multiple physiological changes converge to alter drug handling and drug effect. Renal function declines predictably with age: glomerular filtration rate decreases by approximately 1 percent per year after age 40, so that a healthy 75-year-old has significantly reduced renal drug clearance compared with a 30-year-old even in the absence of diagnosed kidney disease. Hepatic blood flow and liver mass also decrease with age, reducing first-pass metabolism and hepatic clearance for drugs where these are rate-limiting steps. Body composition shifts toward a higher proportion of fat and lower proportion of lean mass and total body water, altering the volume of distribution for lipophilic and hydrophilic drugs in opposite directions.

Pharmacodynamic sensitivity also changes. Older adults show increased sensitivity to central nervous system depressants, including opioids and benzodiazepines, partly because of reduced hepatic and renal clearance and partly because of age-related changes in receptor density and blood-brain barrier integrity. The risks of falls, delirium, and respiratory depression from these drug classes are substantially elevated in older patients compared with younger adults receiving equivalent doses.

Polypharmacy — the concurrent use of multiple medications, which is nearly universal in older adults with multiple chronic conditions — compounds all of these pharmacokinetic changes by introducing multiple potential drug-drug interactions simultaneously. The Beers criteria, published by the American Geriatrics Society, provide a regularly updated list of drugs that are potentially inappropriate for use in older adults because their risk-benefit ratio in this population differs from that in younger adults.

Pediatric Considerations

Immature Systems

  • Cytochrome P450 enzymes immature at birth — slow metabolism in neonates
  • Renal function matures over first two years
  • Weight-based dosing mandatory
  • Prototype: gray baby syndrome from chloramphenicol in neonates

Geriatric Considerations

Declining Systems

  • Glomerular filtration rate declines ~1% per year after age 40
  • Reduced hepatic blood flow and liver mass
  • Increased fat-to-lean ratio alters drug distribution
  • Increased central nervous system sensitivity to sedatives and opioids
  • Polypharmacy multiplies drug interaction risk

Section 3

Disease-Induced Variability

How organ dysfunction and disease states alter pharmacokinetics and require individualized dosing adjustments

Disease states alter drug handling in ways that are predictable from the organ involved. Kidney disease and liver disease are the two most clinically consequential because together these organs account for the metabolism and elimination of the vast majority of drugs. Dosing that is appropriate in a patient with normal organ function can cause accumulation and toxicity in a patient whose elimination capacity is reduced.

Renal Impairment

The kidney eliminates drugs and water-soluble metabolites into urine. When glomerular filtration rate falls — whether from chronic kidney disease, acute kidney injury, or age-related decline — renally cleared drugs accumulate with repeated dosing because each dose is eliminated more slowly than in a patient with normal kidney function. The effective half-life of these drugs is prolonged in proportion to the degree of renal impairment.

Clinical management requires identifying which drugs are renally cleared, estimating the patient’s current kidney function using the creatinine-based estimated glomerular filtration rate, and applying dose adjustments specified in prescribing references. The adjustment may take the form of a reduced dose at the same interval, a lengthened dosing interval, or both. For drugs with a narrow therapeutic index that are renally cleared — digoxin, aminoglycoside antibiotics, lithium, metformin, and many direct oral anticoagulants — failure to adjust can result in serious or fatal toxicity.

Hepatic Impairment

The liver is the primary site of drug metabolism and also synthesizes albumin, the principal plasma protein for drug binding. In patients with significant hepatic impairment from cirrhosis, hepatitis, or other liver disease, three pharmacokinetic problems can arise simultaneously. First, reduced enzyme activity impairs phase I and phase II metabolism, reducing drug clearance and increasing plasma concentrations at standard doses. Second, reduced albumin synthesis increases the free fraction of highly protein-bound drugs, amplifying their pharmacological and toxic effects. Third, portosystemic shunting in advanced cirrhosis allows orally absorbed drug to bypass the liver almost entirely, dramatically increasing the oral bioavailability of drugs that normally undergo significant first-pass extraction.

Hepatic dosing adjustment is more complex than renal adjustment because there is no single laboratory test that quantifies hepatic drug-metabolizing capacity the way creatinine quantifies glomerular filtration rate. Clinical scoring systems such as the Child-Pugh score provide an estimate of hepatic functional reserve that guides dose adjustment recommendations in prescribing references. Drugs that are entirely eliminated by the liver require particular caution in patients with severe hepatic impairment, and some drugs are contraindicated in this setting.

Organ Impairment and Dose Adjustment: The Clinical Rule

Before prescribing any drug, identify the primary elimination pathway. If a drug is primarily renally eliminated, check kidney function and adjust the dose. If it is primarily hepatically metabolized, assess liver function and adjust accordingly. If it is both, assess both. This step is not optional for patients with chronic kidney disease, liver disease, heart failure, or advanced age — all of which commonly impair one or both elimination pathways. Prescribing without considering organ function is a leading cause of preventable drug toxicity in hospitalized and ambulatory patients alike.


Section 4

Individualized Prescribing

How multiple sources of variability combine in a single patient, and why individualization is the clinical response

In clinical practice, the sources of variability in drug response rarely act in isolation. A 70-year-old patient with chronic kidney disease, liver cirrhosis, and a cytochrome P450 2C19 poor metabolizer genotype presents a different pharmacokinetic profile from a 25-year-old healthy volunteer. The drug response of the first patient cannot be predicted from population-average data derived from the second. Individualized prescribing is the clinical response to this reality.

Multiple Factors Combine

Age reduces renal and hepatic clearance. Organ disease further reduces clearance beyond what age alone explains. Pharmacogenomic variation adds a layer of enzyme activity that may differ dramatically from the population norm. Concurrent medications introduce pharmacokinetic interactions that alter plasma concentrations further. Body composition, nutritional status, and inflammation all contribute additional variability. Any one of these factors alone may shift drug concentrations by a clinically meaningful amount; several acting together can shift them enough to convert a therapeutic dose into a toxic one, or a standard dose into a subtherapeutic one.

The Framework for Individualized Dosing

Individualized prescribing requires explicitly evaluating the major sources of variability for each patient and each drug. The questions are consistent: What is this patient’s renal function? What is the hepatic function? What is the patient’s age, and does it warrant pharmacokinetic adjustment? Is there a relevant pharmacogenomic test available and indicated for this drug? What other medications is this patient taking that might interact? What is the therapeutic index of this drug, and how much variability can it tolerate before the patient is harmed?

These questions do not require a specialized background in pharmacokinetics. They require the habit of asking them and the knowledge of which drugs warrant the most careful individualization. Drugs with a narrow therapeutic index — where the toxic and therapeutic doses overlap — demand the most rigorous approach. Drugs with a wide therapeutic index tolerate more variability without clinical consequence. Building this habit of evaluation during pharmacology training is the foundation of safe prescribing throughout a clinical career.


Suggested References
Author / Organization Title Source
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