4. Pharmacogenomics
Pharmacogenomics aims to develop rational means to
optimize drug therapy, with respect to the
patients' genotype, to ensure maximum efficiency with
minimal adverse effects
Pharmacogenomicsisthestudyoftheroleof
thegenomeindrugresponse.
5. Genomicsvs.Genetics
Pharmacogenetics
•Pharmacogenomics is the use of
genetic information to guide the choice
of drug and dose on an individual basis.
•Broader term, which studies how all of
the genes (the genome) can influence
responses to drugs
in drug response
Pharmacogenetics
•Pharmacogenetics is often a study of the
variations in a targeted gene, or group of
functionally related genes for variability
•Refers to how variation in one single
gene influences the response to a single
drug
7. 20 to
95%
It is well recognized that different patients respond in different ways
to the same medication.
•Genetics can account for 20-95 percent of
variability in drug disposition and effects.
•Mainly due to sequence variants in genes
encoding drug-metabolizing enzymes, drug
transporters, or drug targets
GENETIC
•Age
•Gender
•Ethnicity
•BMI
•Co morbidity
•Family history
•Circadian
rhythm
•Placebo
effect
GENETIC
•Genome
•Transcription
•Proteome
•Metabolome
•Epigenome
•Microbiome
ENVIRONMENT
AL
•Nutrition
•Drugs (drug- drug
interactions)
•Chemical exposures
lifestyles
•Circadian rhythm
•Epigenome
•Compliance and
adherence
8. Indels
SNPs
Polymorphism
A polymorphism is a variation in the DNA
sequence that is present at an allele frequency of
1% or greater in a population.
Two major types of sequence variation are:
Single nucleotide polymorphisms (SNPs)
Insertions/deletions (indels).
>1%
SNP variation is present to some appreciable
degree within a population
<1%
Indels are much less frequent in the genome
and are of low frequency
10. C G T A A A T G A C
I I I I I I I I I I
C G T A C A T G A C
I I I I I I I I I I
Presentdrug
P
harmacogenomicdrug
Nonvarient SNPvarient
Protein (drug target) Protein (drug target)
Norm
a
l gene SNPgene
15. Moderate cases
•Extensive metabolizer:
Individuals who have two
normal genes metabolize a
drug normally;
•Intermediate metabolizer:
Patients may have one
active and one non-active
allele for the same gene
and show reduced
metabolic activity
Extreme cases
•Ultra-rapid metabolizer:
These individuals may have
multiple copies of active genes
and have substantially increased
metabolic activity;
•Poor metabolizer:
Patients with two non-functional
genes metabolize a drug very
slowly compared to a normal
individual
Patient genotypes are usually categorized into the following predicted
phenotypes
19. To develop customized prescriptions
To improve rational drug development
To screen and monitor certain diseases
To predict a patients response to drugs
To minimize or eliminate adverse events
To develop more powerful, safer vaccines
To improve efficacy and patient compliance
To improve the accuracy of determining appropriate dosages of drugs
To allow improvements in drug research and development (R&D) and the approval
of new drugs
24. Cardiology
In cardiovascular disorders,
the main concern is
response to drugs
including warfarin, clopidogr
el, beta blockers, and statins
Oncology
Pharmacogenomics tests
are used to identify
which patients are most
likely to respond to
certain cancer drugs.
Forensic Pathology
Pharmacogenomics can be used
to determine the cause of death
in drug-related deaths where no
findings emerge using autopsy
Psychiatry
In psychiatry, research has
focused particularly on 5-
HTTLPR and DRD2.
Pain management
31. Determines the genotype of
patient in terms of two CYP 450
enzymes: 2D6 and 2C19.
24, 2004.
FDA approved the test on
The
December
amplichip
first
CYP450 test is the
FDA approved
pharmacogenetic test
Amplichip
34. •Pharmacogenomics may
contribute to a smarter drug
development process
•Allow for the prediction of
efficacy / toxicity during
clinical development
•Make
efficient
the process more
by decreasing the
number of patients required to
show efficacy in clinical trials
•Decrease cost & time to bring
drug to market
80%ofproductsthat
enterthedevelopment
pipelineFAILtom
akeitto
market
.
36. Create profiles of diagnostic
markers and laboratory
tests.
Preparing profiles of
the SNP.
Preparing profiles
related to sensitivity of
the pharmaceutical, food
and other external
factors.
The appropriate design of
drugs
Determination
location
function
metabolic
proteins
pathways
of the
of the cell and
of and
in
different cell lines.
Preparing profiles of
ethnic diversity and
racial
38. Many genes are involved in drug action, making
the drug target is very difficult
Insufficient validation of study
results
Identification of small inter-
individual variation in everyone’s
gene is very difficult
Expensive & Ethical issues
40. Reality of the added
complexity of additional
testing & need for
interpretation of results
to individualized dosing
has been ignored.
It refers to approach of clinical
practice where a particular
treatment is not choosen based on
patient”. but on
of an individual
the average
characteristic
patient .
Pharmacogenomics
is in early stages of
development..
Much of
regarding
the excitement
the promise of
human genomics hopes on the
“
P
ERSONALIZEDMEDICINEORMAGIC
BULLETS”.
42. Scope
Prescription made same
for all patients
Prescription made according to
specific genes.
Respond to drugs
30-60%
100%
Respond to drugs
43. Conclusion
Pharmacogenomics has great
potential to optimize drug therapy
Newer molecular diagnostic
test will have to be develop to
detect polymorphisms
Pharmacotherapeutics decisions
will soon become fundamental for
diagnosing the illness & guiding
the choice & dosage of
medications.