Lecture 13 + 14 (Cut off for Exam 1) Flashcards
Pharmacogenomics
1
Q
Pharmacogenomics
A
Science of how genetic variants affect drug action.
Contributes to PK parameters
2
Q
Clinical Consequences (4)
A
- Therapeutic failure (not active)
- Increase adverse side effects
- Increased toxicity
- Fatal adverse reactions
3
Q
GINA
A
- designed to prohibit improper use of genetic info by insurance employment
- Prohibits denial or coverage or higher rates based on genetic predispositions
- Bars employers from firing, hiring, promoting, etc. based on genetic information
4
Q
Human Genome Basics
A
- 3 billion base pairs (haploid), 6 billion (diploid)
- Approximately 23,000 genes
- Extensive interindividual variation genomic structure
- 99.9% genetically identical between two people, difference in ~1 per 1,000 base pairs
- Bases = integral part of DNA
5
Q
Genes
A
Sequence of DNA that codes cellular functional units (proteins), multiple gene on each DNA segment. Genes are the exception to the rule though, the majority of DNA isn’t genes.
6
Q
Things to Know
A
- Basic components of gene structure (introns, exons, coding regions, etc.)
- Know how this connects to the central dogma of biology
7
Q
Types of Genetic Variations
A
- Single Nucleotide Polymorphisms (SNPs)
- Insertions (Indels)
- Deletions (Indels)
- Copy Number Variations
* *NOT MUTATIONS**
8
Q
Alleles
A
- Genetic variant form of a gene
- Different alleles may be responsible for different in observable phenotypic traits, but also different in response to drug
- MAF - Minor Allele Frequency, an allele occurs in population in reference to most common allele
- Often alleles that are investigated are SNPs
9
Q
SNPs
A
- Genetic variation that arises when single nucleotide in DNA is different
- Can happen ANYWHERE in DNA (not just coding regions)
10
Q
Possible SNP Consequences
A
Coding Region:
- Decrease in protein (enzyme) activity compared to common variant
- Increase in enzyme activity
- No change (synonymous SNP)
- *Functional assay needed to identify the effect**
Non-coding Region:
- Decrease in gene expression and therefore decrease in enzyme activity
- Increase in gene expression and therefore increase in enzyme activity
- Increase in the number of copies of an enzyme that leads to increased activity (and vice versa)
11
Q
Association Studies (2)
A
- Candidate Gene Approach
2. GWAS
12
Q
Candidate Gene Approach
A
- Hypothesis Driven
- Pharmacist can participate
- Identify drug response to observable trait
13
Q
3 Candidate Gene Categories
A
- Direct Drug Response
- Signal Transduction Proteins
- Downstream Proteins
14
Q
GWAS
A
- Alternate approach to Candidate Gene
- Designed to identify genetic association to an observable response by examining genetic variations across an entire genome
- Doesn’t rely on pharmacology knowledge and isn’t hypothesis driven
- Very successful results
- Includes group with the observable trait and a control group (group without the observable trait)
15
Q
3 Major Divisions of Pharmacogenomics
A
- PK - action of body on drug (ADME)
- PD - action of drug on body
- Non-PK/PD - adverse reactions