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p. 50


Pharmacogenomics is a single and important element of the broader

concept of personalized medicine, which incorporates a variety of

factors, both genetic and nongenetic, to guide targeted and individualized

therapeutic decisions.

Case 4-1(Question 1),

Figure 4-1,

Tables 4-1, 4-2, 4-3

Pharmacogenomic effects can be both pharmacokinetic and

pharmacodynamic in nature. Pharmacokinetic effects are observed

when variants affect the absorption, distribution, metabolism, or

excretion of a drug. Pharmacodynamic polymorphisms may result in

variable amounts of drug target enzymes or receptors as well as

possible changes in the drug target shape. These variations may render

therapy ineffective or necessitate dose changes in certain affected

populations.

Case 4-2 (Questions 1, 2)

DNA polymorphisms in drug-metabolizing enzymes can result in gain of

function, loss of function, or no effect on function of the enzyme

produced. In some cases, significant toxicity can result.

Case 4-3 (Question 1),

Figure 4-2,

Table 4-4,

Case 4-4 (Question 1), Table

4-5

Drug transport proteins and binding targets can also be affected by

pharmacogenomic variants.

Case 4-5 (Questions 1,2),

Table 4-6

HLA genes are unique in that the presence of a variant does not impact

the metabolism of a drug, but instead may indicate the likelihood of the

development of a serious or life-threatening reaction.

Case 4-6 (Questions 1, 2),

Table 4-7

Test interpretation is crucial to the practical application of

pharmacogenomic data. In particular, CYP2D6 is a well-described

cytochrome P450 enzyme responsible for approximately 25% of all drug

metabolism. However, CYP2D6 is a complicated gene locus subject to

multiple variants, pseudogene interference, and copy number variation.

Case 4-7 (Questions 1, 2),

Case 4-8 (Question 1), Table

4-8

Age-based development adds a level of complexity when assessing

pharmacogenomic markers in pediatric patients. Many of the

pharmacogenomic dosing guidelines have not been validated in infants

and children.

Case 4-9 (Question 1),

Figure 4-3

Implementation of pharmacogenomics into practice currently faces many

challenges including: the appropriate determination of when and whom

to test; storage, analysis, and security of genetic data; and

considerations for implementing pharmacogenomic data and

recommendations into practice.

Case 4-10 (Question 1),

Case 4-11 (Questions 1, 2)

“Pharmacogenomics” is the study and application of gene expression on drug

pharmacokinetics and pharmacodynamics. This term is often used interchangeably

with “pharmacogenetics.” In the strictest of definitions, “pharmacogenetics” is used

in the context of a drug response to a single gene, whereas “pharmacogenomics”

refers to the broader study of the full genomic impact on drug behavior.

1 Because

genetic variants are very specific to the individual, the use of pharmacogenomics in

clinical practice has become a core component of the personalized medicine and

precision medicine movements.

2,3

Ironically, the study of pharmacogenomics is not

new. There are cases in the literature from the 1950s and 1960s describing the

influence of a person’s genetics on drug toxicity.

4,5 With the advent of newer,

cheaper, faster deoxyribonucleic acid (DNA) sequencing techniques, the study of

pharmacogenomics has exploded. In recent years, we have been able to begin

transitioning that knowledge from the research realm to the clinic, although not

without challenges.

p. 51

p. 52

A brief review of the basics of human genetics in the context of application to

pharmacogenomics will be discussed in this chapter. Students are encouraged to

utilize the selected references provided for this chapter for further review if needed.

Although somatic “tumor” genetics, or the study of the mutations found in cancer

cells, is a very timely and important consideration in antineoplastic drug selection

and the treatment of oncologic processes, this chapter will primarily focus on the

germline mutations in human DNA affecting drug absorption, distribution,

metabolism, and excretion.

Human DNA is composed of 3 billion nucleotide base pairs, arranged on 46

chromosomes. There is significant variation in the genetic code from one person to

another, creating what makes each of us unique—such as brown eyes, red hair,

height, and heritable diseases. Included in the unique variations are changes in our

ability to process medications. These differences are largely a result of variants in

the nucleotide sequence on the genes responsible. The four nucleotides that make up

the genes are adenine (A), guanine (G), cytosine (C), and thymine (T).

In most cases, but not all, two copies of each gene are present, one inherited from

the mother and one from the father. Each copy is referred to as an “allele.” If both the

maternal and paternal alleles are the same, then the individual is considered

homozygous for that allele or gene. If the parental copies differ, then the patient is

considered to be heterozygous. Genes code for the production of proteins, such as

enzymes, the structural components of cells, hormones, antibodies, and transport

molecules. In pharmacogenomics, the gene and the enzyme often share the same name.

For example, the gene that codes for cytochrome P450 CYP3A4 is known as

CYP3A4 and the gene that codes for thiopurinemethyltransferase (TPMT) is known

as TPMT.

When there is a change in the sequence or code, it is referred to as a variant. A

change in a single base pair is commonly referred to as a single-nucleotide

polymorphism or SNP (pronounced “snip”) (Fig.4-1). Although the formal definition

requires the variant to occur in at least 1% of the population, common usage does not

differentiate on the basis of population frequency. A SNP that changes the function of

the gene product is referred to as a mutation, and although not all SNPs are mutations,

the terms are often used interchangeably. The location of the SNP is designated by a

reference sequence number abbreviated “rsID.” Many of the pharmacogenetic

variants discussed in this chapter are SNPs and were originally found through

genome-wide association studies (GWAS). Most GWAS are usually constructed to

find common SNPs in a group of patients with the condition of interest and then

subsequently define a level of association. These SNPs are responsible for 90% of

pharmacogenetic variability and can result in gain of function (greater production of

enzyme, or higher enzyme activity, than normal) or loss of function (decreased or no

production of enzyme compared to normal).

3 Other changes can include deletions or

insertions of larger segments of DNA and are commonly referred to as “indels.” In

many cases, indels terminate production of the protein.

In some cases, a change in a single allele is sufficient to affect drug metabolism.

This occurs in dominant disorders. These occur because new mutations are passed

from one individual to the next. Whether the ancestors exhibited symptoms or not

likely depends on their own history and, of course, may not be known. In other cases,

both copies of the gene must be defective in order for there to be a functional

consequence. This occurs in recessive disorders, in which the parents are typically

unaffected heterozygous carriers. One in four of their children will be at risk for

inheriting the change and potentially exhibiting symptoms. As discussed earlier, this

child may be homozygous if both parents have the same SNP, or it may be as a

compound heterozygote, if each parent has a different dysfunctional SNP or mutation

in the specific gene. Typically, in recessive disorders, there is otherwise no family

history of any affected individual.

The resultant call or read of the variants gives us a genotype. The phenotype refers

to the expression of that genotype. In some cases, this is visible, such as skin color or

another physical characteristic. In other cases it is invisible, such as blood type or a

less than normal amount of a Human Cytochrome P450 (CYP450) metabolizing

enzyme. In the context of pharmacogenomics and the metabolizing enzymes, patients

are often classified as having a phenotype of ultrarapid metabolizer, extensive

metabolizers, intermediate metabolizers, or poor metabolizers based on their

genotype.

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