MODULE 6- Pharmacogenomics I Flashcards

1
Q

Variation among patients in their responses to
medication is noted
Due to:

A
o Environmental factors
– Drug-drug interactions
– Co-morbid disease
– Age, sex, diet
o Genetic factors
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2
Q

The Goal of Pharmacogenomics

A
• To identify genetic differences among patients that
influence treatment response
• This is essential in 3 main areas:
– 1. Efficacy
– 2. Safety
– 3. Optimum dose
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3
Q
  1. efficacy
A

• Drug resistance or non-response is a serious
clinical issue
– E.g. 30% of patients with epilepsy and 30-50% of
patients with schizophrenia do not respond to any
currently available drug treatment
• Studies that elucidate the genetic basis of
treatment failure facilitate the development of new
compounds

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4
Q
  1. safety
A

• Drug treatment is frequently associated with adverse
drug reactions (ADRs)
– mild to fatal
• Estimated 5-13% of hospital admissions are due to
ADRs (first world)
• Many medications fail clinical trials or need to be
withdrawn from the market due to ADRs
• E.g. severe ADR has led to the withdrawal of drugs including
astemizole (allergy medication), grepafloxacin (an antibiotic), sertindole
(an antipsychotic)

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5
Q
  1. dose
A

• Many drugs have a narrow therapeutic range
– too high → toxicity and dose-related ADR
– too low, → not effective
– e.g. warfarin
• Different patients can require dramatically
different doses
– e.g. epileptic, cancer, and psychiatric drugs
– dose titration can take months

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6
Q

Pharmacogenomics aims to

A

– develop rational means to optimize drug therapy, with respect
to the patients’ genotype
– ensure maximum efficacy with minimal adverse effects
So: two people with the same diagnosis might receive
different therapies or drug dosages

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7
Q

pharmacogenomics

A

The study of the interaction of an individual’s genetic
makeup and response to a drug

studying the effect many
variants across the genome

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8
Q

pharmacogenetics

A

studying the effect of one

a variant in one gene

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9
Q

What is the genetic study approach?

A
  1. take a group of patients, non-responders,responders, toxic responders
  2. Look at genotype of each group
  3. Which gene variants are specific to each group?
  4. Associated variants can be used as a diagnostic tool to
    predict a person’s drug response
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10
Q

Drug response is polygenic and is influenced

by environmental factors

A

drug response is a multifactorial trait

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11
Q

what is haplotype

A
• In genetic studies, groups of
variants are often found to be
associated with a particular trait
– Haploid – cell having one set of
chromosomes
– Genotype – genetic make-up
• ‘Haplotype’: describes a group or
cluster of variants inherited
together from one parent on one
chromosome
– inherited together because they are
physically close to each other on the
same chromosome
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12
Q

ADME genes

A
A – Absorption
• D – Distribution
• M – Metabolism
• E – Excretion
• Genes that are associated with drug metabolism
– metabolism enzymes
– transporters
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13
Q

ADME genes currently described

• 32 core genes plus 340 extended genes

A

true

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14
Q

A higher diversity has been observed in some functionally important ADME genes in African
Americans as compared to Europeans (Li et al 2014)

A

– “drug response heterogeneity between populations”
– significant genetic differences in the ADME genes between different populations could
lead to therapeutic failure, or adverse drug responses

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15
Q

Inconsistent patient responses to

drug therapies

A
Poor metabolisers:
– build up of drug in liver
• can be toxic
– lack of efficacy
→give less drug
• Ultra-rapid metabolisers:
– drug cleared too quickly in
liver
– lack of efficacy
→give more drug
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16
Q

Genetics explains inconsistent

response phenotypes

A
Poor metaboliser:
– two non-functional alleles
• Intermediate metaboliser:
– one functional allele and
one non-functional allele
– OR two partially functional
alleles
• Extensive metaboliser:
– two functional alleles
• Ultra-rapid metaboliser:
– more than one increased
functional allele
17
Q

Drug Metabolising Enzymes

A

• > 30 families
• e.g. cytochrome P450 (CYP450) superfamily
– Metabolise approx 60% of prescribed drugs
– Expressed primarily in liver
– 57 genes known to date
– 3 families: CYP1, CYP2, CYP3

18
Q

Drug Metabolising Enzymes – CYP2

A

• Most polymorphic of all CYP450 enzymes
• 20 to 30% of all drugs metabolised
• subfamilies A – E
• genes are described e.g. CYP2D6, CYP2C8
• Variants (alleles) are described e.g. CYP2C91,
CYP2C9
2, CYP2C9*3

19
Q

Types of genetic variants

A

Metabolic pathways are affected by a wide
range of types of DNA variants including
– single nucleotide polymorphisms (SNPs)
– mutations in the regulatory elements of genes
– variable number of tandem repeats (VNTRs)
– variations in gene copy number (gene deletions or
duplications)

20
Q

examples

A

refer to the document

21
Q

The aim of studying pharmacogenomics

A

To inform:
Personalised Medicine /
Precision Medicine

22
Q

Definition of Precision Medicine

A

Medical care designed to optimize efficiency or therapeutic
benefit for particular individual / groups of patients, especially
by using genetic or molecular profiling

23
Q

Serious considerations

A

Availability of technology

- Cost

24
Q

Precision Public Health

vs Precision Personalised Medicine

A

New concept of ‘Precision Public Health’
• Health decisions based on populations and
communities as opposed to individuals
• More cost-effective approach for developing countries
In Botswana, efavirenz is no longer a first line ARV and changes
are being considered for recommended first line treatments in
Zimbabwe and South Africa

25
Different African ethnicities each need to evaluate the frequencies (even complete absence?) of various polymorphisms involved in the pharmacogenomics of a particular drug
true
26
Practical hurdles to implementing | pharmacogenomic testing at present
• Complexity of finding gene variations that affect drug response • Some polymorphisms do not show associations in different ethnic groups • Limited drug alternatives • Disincentives for drug companies to make multiple pharmacogenomic products Educating healthcare providers
27
take-home message
• Necessary to set boundaries in the expectations of the applications of pharmacogenomics to clinical medicine • Health-care professionals need to become educated in the interpretation of genetic data (what genetic testing can and cannot tell you..) • Clear differences exist between African, Asian and Caucasian population structure demonstrating the need for population-specific preclinical and clinical studies and trials • Precision health (as opposed to precision medicine) is important to consider for a health care system in a developing country