Introduction

Pharmacogenetic variants are DNA variants that influence the metabolism and elimination or the action of medications. Research in pharmacogenetics seeks to understand how these variants influence variability in medication response. For the perinatal pharmacologist, genetic variations that affect drug disposition in the fetus, the mother, and the neonate must be considered as one of many sets of variables, along with developmental changes in fetal and neonatal gene expression, organ maturation, placental transfer and metabolism of drugs, and a host of hormonal and environmental influences, which can combine to produce unique patterns of toxicity in mother and child upon medication exposure. Therefore knowledge of potential genetic contributions to drug-induced toxicity in pregnancy, in utero, and in postnatal life can be important in optimizing dosing of drugs, as well as in understanding adverse drug reactions (ADRs) and preventing their further occurrence in patients.

The field of pharmacogenomics is rapidly expanding, and the number of medications with genetic information in the drug label is increasing. Several actionable gene-drug pairs have been clinically implemented in hospitals across the world. Most pharmacogenetic research has been performed in adults, but many of the associations also could apply to children and neonates that are prescribed the same medications.

There are several resources that provide guidance on pharmacogenetic research and implementation. The first step in pharmacogenetics is defining the variants that influence the medication absorption, distribution, metabolism, elimination, or response. The Pharmacogene Variation Consortium ( PharmVar.org ) is a repository of pharmacogene variation that focuses on haplotype structure and allelic variation. Pharmacogenetic alleles can contain one or more variants, and sometimes individual variants are included in the definition of more than one allele. Thus, it is very important to have a common terminology for allele nomenclature, which PharmVar provides. The Pharmacogenomics Knowledge Base ( PharmGKB.org ) is an NIH-funded resource that curates pharmacogenetic literature, including in vitro and in vivo knowledge from medication labels, clinical trials, clinical research, and basic research. Every gene-drug pair in the literature is given a level of evidence based on the association of individual variants with clinical and/or in vitro data. The Clinical Pharmacogenetics Implementation Consortium ( CPIC, cpicpgx.org ) is a group that publishes evidence-based clinical practice guidelines, facilitating the implementation of pharmacogenetics into clinical care. Currently, there are 23 guidelines that impact 49 medications and involve 18 genes ( Table 18.1 ). CPIC utilizes standard nomenclature for allele functionality and activity and provides guidance on electronic health record integration of pharmacogenetic results.

Table 18.1
Clinical Pharmacogenetics Implementation Consortium Dosing Guidelines.
Drug Gene(s) Guideline References
Abacavir HLA-B Do not use in patients with the HLA-B∗57:01 allele
Allopurinol HLA-B Do not use in patients with the HLA-B∗58:01 allele ,
Amitriptyline CYP2D6, CYP2C19 Do not use in CYP2D6 PMs or CYP2D6/CYP2C19 UMs; use 50% lower dose in CYP2C19 PMs ,
Atazanavir UGT1A1 Do not use in PMs
Atomoxetine CYP2D6 Use reduced doses in IMs and PMs
Azathioprine TPMT, NUDT15 Extreme dose reduction in TPMT or NUDT15 PMs; reduce dose in TPMT or NUDT15 IMs. , ,
Capecitabine DPYD Do not use in homozygous DPYD-deficient patients; use 50% of target dose in heterozygotes
Carbamazepine HLA-B, HLA-A Do not use in carbamazepine-naïve patients with at least one HLA-B∗15:02 or HLA-A∗31:01 allele ,
Citalopram CYP2C19 Do not use in CYP2C19 UMs; reduce starting dose by 50% in PMs
Clomipramine CYP2D6, CYP2C19 Do not use in CYP2D6 PMs or CYP2D6/CYP2C19 UMs; use 50% lower dose in CYP2C19 PMs ,
Clopidogrel CYP2C19 Use alternative antiplatelet drugs in CYP2C19 PMs or heterozygotes ,
Codeine CYP2D6 Do not use in CYP2D6 UMs or PMs ,
Desflurane RYR1, CACNA1S Do not use in patients with risk variants for malignant hyperthermia
Desipramine CYP2D6 Do not use in CYP2D6 UMs or PMs; consider a 25% dose reduction in heterozygotes ,
Doxepin CYP2D6, CYP2C19 Do not use in CYP2D6 PMs or CYP2D6/CYP2C19 UMs; use 50% lower dose in CYP2C19 PMs ,
Efavirenz CYP2B6 Decrease dose in CYP2B6 IMs and PMs
Enflurane RYR1, CACNA1S Do not use in patients with risk variants for malignant hyperthermia
Escitalopram CYP2C19 Do not use in CYP2C19 UMs; reduce starting dose by 50% in PMs
5-Fluorouracil DPYD Do not use in homozygous DPYD-deficient patients; use 50% of target dose in heterozygotes
Fluvoxamine CYP2D6 Reduce starting dose by 25%–50% in CYP2D6 PMs
Halothane RYR1, CACNA1S Do not use in patients with risk variants for malignant hyperthermia
Imipramine CYP2D6, CYP2C19 Do not use in CYP2D6 PMs or CYP2D6/CYP2C19 UMs; use 50% lower dose in CYP2C19 PMs ,
Isoflurane RYR1, CACNA1S Do not use in patients with risk variants for malignant hyperthermia
Ivacaftor CFTR Use only in patients with at least one indicated CFTR variant
6-Mercaptopurine TPMT, NUDT15 Extreme dose reduction in TPMT or NUDT15 PMs; reduce dose in TPMT or NUDT15 IMs. , ,
Methoxyflurane RYR1, CACNA1S Do not use in patients with risk variants for malignant hyperthermia
Nortriptyline CYP2D6 Do not use in CYP2D6 UMs or PMs; consider a 25% dose reduction in heterozygotes ,
Ondansetron CYP2D6 Do not use in CYP2D6 UMs
Oxcarbazepine HLA-B, HLA-A Do not use in carbamazepine-naïve patients with at least one HLA-B∗15:02 or HLA-A∗31:01 allele ,
Oxycodone CYP2D6 Consider alternative opioids in CYP2C6 UMs and PMs ,
Paroxetine CYP2D6 Consider other drugs for CYP2D6 UMs and PMs; if paroxetine is warranted, reduce starting dose by 50%
PEG-interferon α-2a IFNL3 Consider alternate treatments in unfavorable response genotypes rs12979860 T allele carriers
PEG-interferon α-2b IFNL3 Consider alternate treatments in unfavorable response genotypes rs12979860 T allele carriers
Phenytoin CYP2C9, HLA-B Reduce dose in CYP2C9 PMs; do not use in patients with the HLA-B∗15:02 allele
Rasburicase G6PD Do not use in G6PD-deficient patients
Ribavirin IFNL3 Consider alternate treatments in unfavorable response genotypes rs12979860 T allele carriers
Sertraline CYP2C19 Reduce starting dose by 50% in CYP2C19 PMs or consider an alternative drug
Sevoflurane RYR1, CACNA1S Do not use in patients with risk variants for malignant hyperthermia
Simvastatin SLCO1B1 Use lower daily doses or consider alternative therapies in patients with 1 or 2 copies of the rs4149056 C allele ,
Succinylcholine RYR1, CACNA1S Do not use in patients with risk variants for malignant hyperthermia
Tacrolimus CYP3A5 Increase starting dose by 50%–100% in patients who are CYP3A5 EMs or heterozygotes
Tamoxifen CYP2D6 Consider alternative therapy in CYP2D6 IMs and PMs
Tegafur DPYD Do not use in homozygous DPYD-deficient patients; use 50% of target dose in heterozygotes
Thioguanine TPMT, NUDT15 Extreme dose reduction in TPMT or NUDT15 PMs; reduce dose in TPMT or NUDT15 IMs , ,
Tramadol CYP2D6 Consider alternative opioids in CYP2C6 UMs and PMs ,
Trimipramine CYP2D6, CYP2C19 Do not use in CYP2D6 PMs or CYP2D6/CYP2C19 UMs; use 50% lower dose in CYP2C19 PMs ,
Tropisetron CYP2D6 Do not use in CYP2D6 UMs
Voriconazole CYP2C19 Do not use in CYP2C19 UMs, RMs, and PMs
Warfarin CYP2C9, VKORC1, CYP4F2 Calculate dose based on validated pharmacogenetic algorithms for pediatric patients ,
Updated information for each guideline is available at https://cpicpgx.org .
IM, Intermediate metabolizer; PM, poor metabolizer; UM, ultrarapid metabolizer.

Most individuals have at least one pharmacogenetic variant but may not receive the medication whose dosing would be informed by that variant. , This chapter provides an overview and examples of some selected pharmacogenes that influence the pharmacokinetics, pharmacodynamics, and severe adverse reactions to drugs; where possible, these examples were chosen to provide particular relevance to medication use in children.

Pharmacogenetic Variants Affecting Drug Metabolism

The most well-established pharmacogenes are those encoding drug-metabolizing enzymes; variants in these genes affect the exposure by altering the rate of metabolism of the drugs. For example, slow metabolism of a pro-drug would result in decreased exposure to the active metabolite and the potential for inefficacy, but slow metabolism of an active drug into an inactive compound would result in increased exposure to the active drug and the potential for toxicity. The opposite is true for faster metabolism due to genetic variants. For pharmacogenes that influence pharmacokinetics, often the recommendations are to adjust dosage, but for some medications, an alternative medication is recommended. There are two phases of drug metabolism—the first is oxidation or hydrolysis, and the second is conjugation (e.g., glucuronidation). Many drugs are metabolized by oxidation through the cytochrome P450 family of enzymes expressed highly in the liver ( Fig. 18.1 ).

Fig. 18.1, Examples of CYP-mediated oxidation of commonly used medications in the liver.

CYP2D6

The first pharmacogene characterized was CYP2D6 , and to date, more than 130 alleles have been described for this gene ( https://www.pharmvar.org/gene/CYP2D6 ). Approximately 25% of all medications are metabolized by the CYP2D6 enzyme to some degree, and this gene is included on several drug labels and 6 CPIC guidelines, with dosing adjustments or changes in medication recommended. Testing of CYP2D6 is required by the US Food and Drug Administration (FDA) prior to initiation of three medications: eliglustat, pimozide, and tetrabenazine ( Table 18.2 ).

Table 18.2
FDA Labels That Include Pharmacogenomic Biomarkers (Content Current as of 3 Sep 2019).
Drug Therapeutic Area Biomarker
Isosorbide Dinitrate Cardiology CYB5R
Isosorbide Mononitrate Cardiology CYB5R
Nebivolol Cardiology CYP2D6
Propafenone Cardiology CYP2D6
Metoclopramide (2) Gastroenterology G6PD
Metoclopramide (3) Gastroenterology CYP2D6
Warfarin (1) Hematology CYP2C9
Warfarin (2) Hematology VKORC1
Carglumic Acid Inborn errors of metabolism NAGS
Eliglustat Inborn errors of metabolism CYP2D6
Migalastat Inborn errors of metabolism GLA
Sodium Phenylbutyrate Inborn errors of metabolism ASS1, CPS1, OTC (urea cycle disorders)
Abacavir Infectious diseases HLA-B
Dapsone (3) Infectious diseases G6PD
Primaquine (1) Infectious diseases G6PD
Tafenoquine Infectious diseases G6PD
Amifampridine Neurology NAT2
Amifampridine Phosphate Neurology NAT2
Clobazam Neurology CYP2C19
Deutetrabenazine Neurology CYP2D6
Siponimod Neurology CYP2C9
Tetrabenazine Neurology CYP2D6
Valbenazine Neurology CYP2D6
Ado-Trastuzumab Emtansine Oncology ERBB2 (HER2)
Afatinib Oncology EGFR
Alectinib Oncology ALK
Alpelisib (1) Oncology ERBB2 (HER2)
Alpelisib (2) Oncology ESR (hormone receptor)
Alpelisib (3) Oncology PIK3CA
Atezolizumab (1) Oncology CD274 (PD-L1)
Belinostat Oncology UGT1A1
Binimetinib (1) Oncology BRAF
Bosutinib Oncology BCR-ABL1 (Philadelphia chromosome)
Brentuximab Vedotin (2) Oncology TNFRSF8 (CD30)
Ceritinib Oncology ALK
Cetuximab (1) Oncology EGFR
Cetuximab (2) Oncology RAS
Cobimetinib Oncology BRAF
Crizotinib (1) Oncology ALK
Crizotinib (2) Oncology ROS1
Dabrafenib (1) Oncology BRAF
Dabrafenib (3) Oncology RAS
Dacomitinib Oncology EGFR
Dasatinib Oncology BCR-ABL1 (Philadelphia chromosome)
Enasidenib Oncology IDH2
Encorafenib Oncology BRAF
Erdafitinib (1) Oncology FGFR
Erlotinib Oncology EGFR
Everolimus (1) Oncology ERBB2 (HER2)
Everolimus (2) Oncology ESR (hormone receptor)
Exemestane Oncology ESR, PGR (hormone receptor)
Gefitinib (1) Oncology EGFR
Gilteritinib Oncology FLT3
Imatinib (1) Oncology KIT
Imatinib (2) Oncology BCR-ABL1 (Philadelphia chromosome)
Imatinib (3) Oncology PDGFRB
Imatinib (4) Oncology FIP1L1-PDGFRA
Irinotecan Oncology UGT1A1
Ivosidenib Oncology IDH1
Lapatinib (1) Oncology ERBB2 (HER2)
Lapatinib (2) Oncology ESR, PGR (hormone receptor)
Larotrectinib Oncology NTRK
Mercaptopurine (1) Oncology TPMT
Mercaptopurine (2) Oncology NUDT15
Midostaurin (1) Oncology FLT3
Nilotinib (1) Oncology BCR-ABL1 (Philadelphia chromosome)
Olaparib (1) Oncology BRCA
Olaparib (2) Oncology ERBB2 (HER2)
Osimertinib Oncology EGFR
Panitumumab (2) Oncology RAS
Pembrolizumab (2) Oncology CD274 (PD-L1)
Pembrolizumab (3) Oncology Microsatellite instability, mismatch repair
Pertuzumab (1) Oncology ERBB2 (HER2)
Rituximab Oncology MS4A1 (CD20 antigen)
Rucaparib (1) Oncology BRCA
Talazoparib (1) Oncology BRCA
Thioguanine (1) Oncology TPMT
Thioguanine (2) Oncology NUDT15
Trametinib (1) Oncology BRAF
Trastuzumab (1) Oncology ERBB2 (HER2)
Vemurafenib (1) Oncology BRAF
Aripiprazole Psychiatry CYP2D6
Aripiprazole Lauroxil Psychiatry CYP2D6
Atomoxetine Psychiatry CYP2D6
Brexpiprazole Psychiatry CYP2D6
Citalopram (1) Psychiatry CYP2C19
Clozapine Psychiatry CYP2D6
Iloperidone Psychiatry CYP2D6
Pimozide Psychiatry CYP2D6
Vortioxetine Psychiatry CYP2D6
Azathioprine (1) Rheumatology TPMT
Azathioprine (2) Rheumatology NUDT15
Celecoxib Rheumatology CYP2C9

One example of a medication metabolized by this gene with clinical importance to pediatric patients is codeine, which is metabolized to the active drug (morphine) by CYP2D6. Individuals with little or no CYP2D6 activity (poor metabolizers) receive inadequate exposure to morphine with conventional dosing and need alternative analgesic medications to control pain (see Table 18.2 ). , Alternatively, those with duplication of the CYP2D6 gene (ultrarapid metabolizers) are at risk for sedation and respiratory depression from generating high concentrations of morphine. Since the FDA issued a contraindication for codeine use in children younger than 12, many hospitals removed codeine from their formularies or restricted its use. The FDA also issued a warning to mothers that breast-feeding is not recommended when taking codeine due to the risk of serious adverse reactions (excess sleepiness, difficulty breast-feeding, or breathing problems). However, the American College of Obstetricians and Gynecologists does not recommend against using codeine in breast-feeding mothers but recommends counseling mothers on risks and newborn signs of toxicity if codeine-containing medications are selected for postpartum pain control.

CYP2C19

Another pharmacogene that encodes an enzyme that metabolizes many commonly prescribed medications is CYP2C19 . This gene has alleles with increased function (∗17), decreased function, and no function; therefore phenotypes can be ultrarapid, rapid, normal, intermediate, or poor metabolizer. The medications metabolized by CYP2C19 include antidepressants (e.g., escitalopram, sertraline, amitriptyline), clopidogrel, voriconazole, and proton pump inhibitors. Testing of this gene is not required prior to initiating any medications, but it is included in the FDA labels of 22 medications ( www.fda.gov/drugs/science-and-research-drugs/table-pharmacogenomic-biomarkers-drug-labeling ), usually in the Clinical Pharmacology section, but for citalopram and clobazam, it is included in the dosage and administration section, where dose reductions are recommended in poor metabolizers to avoid adverse reactions (see Table 18.2 ).

CYP3A5

Tacrolimus is an immunosuppressant that is metabolized by CYP3A5. Variants in CYP3A5 (e.g., the ∗3 allele) explain 40% to 50% of the variability in blood concentrations of tacrolimus. , This is one of the few gene-drug pairs that has been tested in randomized clinical trials to test conventional dosing versus genotype-guided dosing. A trial in pediatric patients receiving a solid organ transplant demonstrated the time to the therapeutic concentration was reached sooner in a genotype-guided group than an unguided group and there were no differences in adverse events. Since CYP3A5 is expressed highly in the liver, in patients receiving a liver transplant, the donor liver must be genotyped in order to provide genotype-guided dosing in these patients.

TPMT and NUDT15

Thiopurines are metabolized by thiopurine methyltransferase (TPMT) into inactive metabolites. Patients receiving normal doses of thiopurines that are TPMT poor metabolizers are at very high risk for acute toxicity and require markedly reduced doses (10-fold lower). TPMT variants account for much of the variability in thiopurine intolerance in people of European and African ancestry; however, variants in another gene in the thiopurine metabolism pathway, NUDT15 , accounts for the majority of the variability in thiopurine intolerance in people of Asian ancestry and have also been found in Hispanic patients. Patients with NUDT15 no-function alleles also require drastic dose reductions in thiopurines to avoid severe myelosuppression. Adjusting dosages of thiopurines based on TPMT genotype has reduced the incidence of adverse effects without compromising efficacy.

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