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Pharmacogenomics
PHARMACOLOGY-VI
By:-
Manisha Pahal
M. Pharmacy (2nd sem)
Pharmacology
Deptt. of Pharmaceutical sciences
M.D.U. Rohtak
• “One fits all”
medication
• Personalized
medication
• Pharmacogenomics is the study of how genes affect
a person’s response to drugs. This relatively new field
combines pharmacology (the science of drugs) and genomics
(the study of genes and their functions) to develop effective,
safe medications and doses that will be tailored to a person’s
genetic makeup.
Genotyping
Collect blood
Isolate DNA from the blood cells
Amplify no. of copies of DNA by PCR
Genotype by sequencing or probing
Genome variants (Polymorphism)
• Single nucleotide polymorphism (SNP) is a variation at a single
position in a DNA sequence among individuals. If more than 1%
of a population does not carry the same nucleotide at a specific
position in the DNA sequence, then this variation can be
classified as a SNP. If a SNP occurs within a gene, then the gene is
described as having more than one allele.
…CTAGATACGAACTGCATC…
…CTAGATACGGACTGCATC…
• Mutation is a difference in DNA sequence among individuals, or
populations. Sources include SNPs, sequence repeats, insertions,
deletions and recombination.
Consequences of genetic polymorphism
• May result in a different amino acid or stop codon
• May result in a change in protein function or quantity
• No effect
• Genetic polymorphisms in drug-metabolizing enzymes,
transporters, receptors, and other drug targets have been
linked to inter individual differences in the efficacy and toxicity
of many medications.
• Genome variants influence drug effects via
alterations in a drug’s pharmacokinetics or via
modulation of a drug’s pharmacodynamics.
Predictive prescribing
Patient genotypes are usually categorized into the following predicted phenotypes:
• Ultra-Rapid Metabolizer: Patients with substantially increased metabolic activity.
• Extensive Metabolizer: Normal metabolic activity.
• Intermediate Metabolizer: Patients with reduced metabolic activity.
• Poor Metabolizer: Patients with little to no functional metabolic activity.
Drug-metabolizing enzymes
 There are several known genes which are largely responsible for variances
in drug metabolism and response via
• Cytochrome P450s
• VKORC1
• TPMT
 Cytochrome P450
• The most prevalent drug-metabolizing enzymes are the Cytochrome
P450 (CYP) enzymes ( membrane-bound, heme-containing protein
characterized by 450 nm spectral peak when complexed with carbon
monoxide). The human CYP family consists of 57 genes, with 18 families
and 44 subfamilies.
• CYP2D6, CYP2C19, CYP2C9, CYP3A4 and CYP3A5 are most commonly used
enzymes. These genes account for the metabolism of approximately 80-
90% of currently available prescription drugs.
Enzymes Fraction of drug
metabolism (%)
Example drugs
CYP2C9 10 Tolbutamide, ibuprofen, mefenamic acid,
tetrahydrocannabinol, losartan,
diclofenac
CYP2C19 25 S-mephenytoin, amitriptyline, diazepam,
omeprazole, proguanil, hexobarbital,
propranolol, imipramine
CYP2D6 20-30 Debrisoquine, metoprolol, sparteine,
propranolol, encainide, codeine,
dextromethorphan, clozapine,
desipramine, haloperidol, amitriptyline,
imipramine
CYP3A4 40-45 Erythromycin, ethinylestradiol,
nifedipine, triazolam, cyclosporine,
amitriptyline, imipramine
CYP3A5 1-2 Erythromycin, ethinylestradiol,
nifedipine, triazolam, cyclosporine,
amitriptyline, aldosterone
Enzymes responsible for biotransformation
CYP2C9
Allele frequencies(%) of CYP2C9 polymorphism
• CYP2C9*2 & CYP2C9*3 – PM
• Warfarin – prolonged bleeding time ,
increased incidence of severe bleeding.
• Glipizide, tolbutamide – low blood sugar.
CYP2C19
• CYP2C19*2, CYP2C19*3 – Poor metabolizers
• Diazepam – prolonged sedation in PM
• Omeprazole – decrease cure rate in PM
• Clopidogrel – increase bleeding in PM
CYP2D6
• CYP2D6*4 – Tamoxifen – poor metabolizer
• CYP2D6*9,*10,*17 – PM- increased toxicity of
antidepressants & antipsychotics, lack of analgesic
effect of codein.
• CYP2D6*2 – Ultra Rapid- rapid clearance and
decreased efficacy of antidepressants.
CYP3A4 and variants
VKORC1
TPMT
Effect on AZT of TPMT Polymorphism
Phase II enzymes
Pharmacogenomics in drug
transport
P- glycoprotein
P- glycoprotein variants affecting Fexofenadine
plasma concentration
• OATP-C*5 & OATP-C*9 – Increase level of
provastatin , inc toxicity & reduced efficacy.
Pharmacogenomics in receptor
response
Amphichip
• Determine the genotype of the patient in terms of
two CYPP450 enzymes: 2D6 and 2C19
• FDA approved the test on December 24, 2004. The
AmphiChip CYP450 test is the first FDA
approved pharmacogenetic test.
Barriers of pharmacogenomics
 Complexity of finding gene variations that affect drug
response
• Millions of SNPs must be identified and analyzed to determine
their involvement in drug response.
• Limited knowledge of which genes are involved with each drug
response.
• Confidentiality, privacy and the use and storage of genetic
information.
 Educating healthcare providers & patients
• Physicians must execute an extra diagnostic step to determine
which drug is best suited to each patient.
 Disincentives for drug companies to make multiple
pharmacogenomic products.
• Most pharmaceutical companies have been successful with
their "one size fits all" approach to drug development.
• For small market- Pharmaceutical companies has to spend
hundreds of millions of dollars on pharmacogenomics based
drug development.
Pharmacogenomics in clinical trial
Applications
References
• Johnson JA. Pharmacogenetics: potential for individualized drug
therapy through genetics. Trends Genet. 19 (11): 660-6.
doi:10.1016/j.tig.2003.09.008. PMID 14585618.
• Crews KR. Hicks JK. Pui CH. Relling MV. Evans .Pharmacogenomics
and individualized medicine: translating science into practice. Clin
Pharmacol Ther. 92 (4): 467–75. doi:10.1038/clpt.2012.120.
• A. Surendiran. S.C. Pradhan. and C. Adithan. Role of
pharmacogenomics in drug discovery and development .Indian J
Pharmacol. 2008 Aug; 40(4): 137–143.doi: 10.4103/0253-
7613.43158.
• Danielson PB. The cytochrome P450 superfamily: biochemistry,
evolution and drug metabolism in humans. 3 Current Drug
Metabolism. 3 (6): 561–97. doi:10.2174/1389200023337054.
• Squassina A. Manchia M. Manolopoulos VG. Artac M. Lappa-
Manakou C. Realities and expectations of pharmacogenomics
and personalized medicine: impact of translating genetic
knowledge into clinical practice. Pharmacogenomics. 11 (8):
1149–67. doi:10.2217/pgs.10.97.
• Mary V Relling. William E Evans.Pharmacogenomics in the
clinic. Nature. 2015 Oct 15; 526(7573): 343–350.
doi: 10.1038/nature15817.
• Munir Pirmohamed. Pharmacogenetics and
pharmacogenomics. Br J Clin Pharmacol. 2001 Oct; 52(4):
345–347.doi: 10.1046/j.0306-5251.2001.01498.
• Burcu Fatma Belen. Türkiz Gürsel. Nalan Akyürek. Severe
Myelotoxicity Associated with Thiopurine S-
Methyltransferase*3A/*3C Polymorphisms in a Patient with
Pediatric Leukemia and the Effect of Steroid Therapy. Turk J
Haematol. 2014 Dec; 31(4): 399–402.

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Pharmacogenomics

  • 1. Pharmacogenomics PHARMACOLOGY-VI By:- Manisha Pahal M. Pharmacy (2nd sem) Pharmacology Deptt. of Pharmaceutical sciences M.D.U. Rohtak
  • 2. • “One fits all” medication • Personalized medication
  • 3.
  • 4. • Pharmacogenomics is the study of how genes affect a person’s response to drugs. This relatively new field combines pharmacology (the science of drugs) and genomics (the study of genes and their functions) to develop effective, safe medications and doses that will be tailored to a person’s genetic makeup.
  • 5. Genotyping Collect blood Isolate DNA from the blood cells Amplify no. of copies of DNA by PCR Genotype by sequencing or probing
  • 6. Genome variants (Polymorphism) • Single nucleotide polymorphism (SNP) is a variation at a single position in a DNA sequence among individuals. If more than 1% of a population does not carry the same nucleotide at a specific position in the DNA sequence, then this variation can be classified as a SNP. If a SNP occurs within a gene, then the gene is described as having more than one allele. …CTAGATACGAACTGCATC… …CTAGATACGGACTGCATC… • Mutation is a difference in DNA sequence among individuals, or populations. Sources include SNPs, sequence repeats, insertions, deletions and recombination.
  • 7. Consequences of genetic polymorphism • May result in a different amino acid or stop codon • May result in a change in protein function or quantity • No effect • Genetic polymorphisms in drug-metabolizing enzymes, transporters, receptors, and other drug targets have been linked to inter individual differences in the efficacy and toxicity of many medications.
  • 8.
  • 9. • Genome variants influence drug effects via alterations in a drug’s pharmacokinetics or via modulation of a drug’s pharmacodynamics.
  • 10. Predictive prescribing Patient genotypes are usually categorized into the following predicted phenotypes: • Ultra-Rapid Metabolizer: Patients with substantially increased metabolic activity. • Extensive Metabolizer: Normal metabolic activity. • Intermediate Metabolizer: Patients with reduced metabolic activity. • Poor Metabolizer: Patients with little to no functional metabolic activity.
  • 11. Drug-metabolizing enzymes  There are several known genes which are largely responsible for variances in drug metabolism and response via • Cytochrome P450s • VKORC1 • TPMT  Cytochrome P450 • The most prevalent drug-metabolizing enzymes are the Cytochrome P450 (CYP) enzymes ( membrane-bound, heme-containing protein characterized by 450 nm spectral peak when complexed with carbon monoxide). The human CYP family consists of 57 genes, with 18 families and 44 subfamilies. • CYP2D6, CYP2C19, CYP2C9, CYP3A4 and CYP3A5 are most commonly used enzymes. These genes account for the metabolism of approximately 80- 90% of currently available prescription drugs.
  • 12. Enzymes Fraction of drug metabolism (%) Example drugs CYP2C9 10 Tolbutamide, ibuprofen, mefenamic acid, tetrahydrocannabinol, losartan, diclofenac CYP2C19 25 S-mephenytoin, amitriptyline, diazepam, omeprazole, proguanil, hexobarbital, propranolol, imipramine CYP2D6 20-30 Debrisoquine, metoprolol, sparteine, propranolol, encainide, codeine, dextromethorphan, clozapine, desipramine, haloperidol, amitriptyline, imipramine CYP3A4 40-45 Erythromycin, ethinylestradiol, nifedipine, triazolam, cyclosporine, amitriptyline, imipramine CYP3A5 1-2 Erythromycin, ethinylestradiol, nifedipine, triazolam, cyclosporine, amitriptyline, aldosterone
  • 13. Enzymes responsible for biotransformation
  • 15. Allele frequencies(%) of CYP2C9 polymorphism
  • 16. • CYP2C9*2 & CYP2C9*3 – PM • Warfarin – prolonged bleeding time , increased incidence of severe bleeding. • Glipizide, tolbutamide – low blood sugar.
  • 18.
  • 19. • CYP2C19*2, CYP2C19*3 – Poor metabolizers • Diazepam – prolonged sedation in PM • Omeprazole – decrease cure rate in PM • Clopidogrel – increase bleeding in PM
  • 20.
  • 21.
  • 23.
  • 24.
  • 25. • CYP2D6*4 – Tamoxifen – poor metabolizer • CYP2D6*9,*10,*17 – PM- increased toxicity of antidepressants & antipsychotics, lack of analgesic effect of codein. • CYP2D6*2 – Ultra Rapid- rapid clearance and decreased efficacy of antidepressants.
  • 27.
  • 28.
  • 30.
  • 31.
  • 32. TPMT
  • 33.
  • 34. Effect on AZT of TPMT Polymorphism
  • 37.
  • 38.
  • 40. P- glycoprotein variants affecting Fexofenadine plasma concentration
  • 41. • OATP-C*5 & OATP-C*9 – Increase level of provastatin , inc toxicity & reduced efficacy.
  • 43.
  • 44. Amphichip • Determine the genotype of the patient in terms of two CYPP450 enzymes: 2D6 and 2C19 • FDA approved the test on December 24, 2004. The AmphiChip CYP450 test is the first FDA approved pharmacogenetic test.
  • 45. Barriers of pharmacogenomics  Complexity of finding gene variations that affect drug response • Millions of SNPs must be identified and analyzed to determine their involvement in drug response. • Limited knowledge of which genes are involved with each drug response. • Confidentiality, privacy and the use and storage of genetic information.  Educating healthcare providers & patients • Physicians must execute an extra diagnostic step to determine which drug is best suited to each patient.
  • 46.  Disincentives for drug companies to make multiple pharmacogenomic products. • Most pharmaceutical companies have been successful with their "one size fits all" approach to drug development. • For small market- Pharmaceutical companies has to spend hundreds of millions of dollars on pharmacogenomics based drug development.
  • 49. References • Johnson JA. Pharmacogenetics: potential for individualized drug therapy through genetics. Trends Genet. 19 (11): 660-6. doi:10.1016/j.tig.2003.09.008. PMID 14585618. • Crews KR. Hicks JK. Pui CH. Relling MV. Evans .Pharmacogenomics and individualized medicine: translating science into practice. Clin Pharmacol Ther. 92 (4): 467–75. doi:10.1038/clpt.2012.120. • A. Surendiran. S.C. Pradhan. and C. Adithan. Role of pharmacogenomics in drug discovery and development .Indian J Pharmacol. 2008 Aug; 40(4): 137–143.doi: 10.4103/0253- 7613.43158. • Danielson PB. The cytochrome P450 superfamily: biochemistry, evolution and drug metabolism in humans. 3 Current Drug Metabolism. 3 (6): 561–97. doi:10.2174/1389200023337054.
  • 50. • Squassina A. Manchia M. Manolopoulos VG. Artac M. Lappa- Manakou C. Realities and expectations of pharmacogenomics and personalized medicine: impact of translating genetic knowledge into clinical practice. Pharmacogenomics. 11 (8): 1149–67. doi:10.2217/pgs.10.97. • Mary V Relling. William E Evans.Pharmacogenomics in the clinic. Nature. 2015 Oct 15; 526(7573): 343–350. doi: 10.1038/nature15817. • Munir Pirmohamed. Pharmacogenetics and pharmacogenomics. Br J Clin Pharmacol. 2001 Oct; 52(4): 345–347.doi: 10.1046/j.0306-5251.2001.01498. • Burcu Fatma Belen. Türkiz Gürsel. Nalan Akyürek. Severe Myelotoxicity Associated with Thiopurine S- Methyltransferase*3A/*3C Polymorphisms in a Patient with Pediatric Leukemia and the Effect of Steroid Therapy. Turk J Haematol. 2014 Dec; 31(4): 399–402.