Pharmacogenetics

Chapter 6 Pharmacogenetics


The concept of interindividual variations in response to drug therapy is not new. The fact that some individuals will respond well, some will not respond, and still others will experience toxicity from a given drug has been an accepted part of medicine since the advent of widespread use of pharmaceuticals to treat human disease.


There are many reasons for this variability among patients, including factors such as age, gender, and health status. However, as we enter the era of personalized medicine, what has changed is the willingness to simply accept a trial-and-error approach to prescribing, rather than attempting to predict which drugs will be successful in a given patient. With the advent of the information and data collection age, clinicians have ready access to patient information such as laboratory values, concomitant medications, and medical conditions that may influence response to drug therapy. However, what is becoming increasingly obvious as all other factors are accounted for is that likely one of the most important predictors of an individual’s response to drug therapy is, in fact, his or her genes.



The Promise of Personalized Medicine


Adverse events caused by drug therapy are a significant burden to the healthcare system and society in general. Many of these adverse events are preventable, a consequence of an individual’s genetic makeup as described in the next sections. Personalized medicine certainly has a significant role to play in the avoidance of harm; however, the real promise of pharmacogenetics may be in optimal prescribing. From a health economics perspective, the use of personalized medicine may be one of the most effective ways to manage the seemingly intractable problem of rising drug costs and access to life-saving pharmaceuticals.





Pharmacogenetics and Pharmacogenomics


Pharmacogenetics and pharmacogenomics are often used interchangeably but do have distinct meanings. Although either term refers to the use of genetic information to guide therapeutic decision-making:




One can consider pharmacogenetics to be the original term for this field, coined in the days when tools such as microarrays did not exist and the human genome had not been mapped. In those early days it seemed unlikely or impossible that an entire genome could be analyzed in an efficient enough manner to become a useful tool in everyday medicine. Now that we have the means and the knowledge to envision a genome-wide approach to everyday prescribing, the term pharmacogenomics is often used to refer to this field. Table 6-1 lists some of the terms commonly used in pharmacogenetics.


TABLE 6-1 Definitions of Some Common Terms Used in Pharmacogenetics







































Gene A sequence of nucleotides that corresponds to a sequence of amino acids in an entire protein or part of a protein. Genes are typically found at a specific location on a chromosome.
Genome The full genetic complement of an individual.
Allele Any of the alternative forms of a gene at a particular locus. These alternative forms may or may not result in different phenotypes.
Null allele A mutation in a gene that leads to a loss of function. Either the gene is not expressed at all (i.e., no protein or RNA) or the product is not functional.
Polymorphism Variation in DNA sequence present at a specific locus within a population.
Genotype The genetic makeup of an individual.
Phenotype The observable physical or biochemical characteristics of an organism. Determined by genotype and environment.
Monogenic Related to or controlled by a single gene
Polygenic Related to or controlled by multiple genes. A polygenic trait is a phenotype that is determined by multiple genes rather than a single gene (monogenic).
Germ line Cellular lineage; genetic information that is passed from one generation to the next.
Haplotype A group of alleles of different genes on a single chromosome that are so closely linked that they are inherited as a unit.
Somatic cell Any cell in the body, with the exception of those involved in reproduction.

The most common basis for genetic variation, and thus the basis for a pharmacogenomic approach to drug therapy, is the single nucleotide polymorphism, or SNP (Figure 6-1). An SNP occurs when a single nucleotide is exchanged for another at a point in an individual’s genome. It is estimated that the human genome consists of approximately 3 billion nucleotides, which in specific combinations form 25,000 to 40,000 genes and encode approximately 100,000 proteins (at last count). SNPs that occur in coding regions of the genome have the potential to influence protein expression by altering an amino acid within the protein.






These variants are often indicated with an asterisk followed by a number indicating the specific mutation in that allele (e.g., CYP450 2D6*4). Certain alleles occur more commonly in some ethnic groups than in others. The impact of these SNPs on phenotypes and their subsequent clinical consequences can again be divided into the two fundamental branches of pharmacology: those that influence pharmacokinetics and those that influence pharmacodynamics.



Pharmacokinetics


The field of pharmacogenomics began with the observations of dramatic differences in the way that certain individuals metabolize drugs. This, along with the fact that adverse drug reactions (ADRs) were the first and most obvious application of pharmacogenomics, has meant that the influence of pharmacogenomics on pharmacokinetics has been much more extensively studied than the impact of pharmacogenomics on pharmacodynamics.


Until recently, the identification of genetically based aberrant metabolism would invariably begin with the observation of an ADR. An ADR can occur because of either higher- (more frequent) or lower-than-expected plasma levels of a given drug. A physician would note toxicities to therapeutic doses of a given drug and discover that plasma levels of that drug were much higher than expected. When other factors such as drug interactions or liver or renal disease were factored out, the clinician was left with genetics as the most viable option for explaining the unexpectedly high plasma levels.


image A classic example occurred with the antituberculosis drug isoniazid (Figure 6-2). Isoniazid is acetylated (metabolized) by N-acetyltransferase 2 (NAT2), and it was observed that some patients metabolized this drug slowly (i.e., were slow metabolizers), whereas others were rapid metabolizers.



Jun 1, 2016 | Posted by in PHARMACY | Comments Off on Pharmacogenetics

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