A REVIEW ON THE ROLE OF PHARMACOGENOMICS IN DRUG DISCOVERY AND DEVELOPMENT
HTML Full TextA REVIEW ON THE ROLE OF PHARMACOGENOMICS IN DRUG DISCOVERY AND DEVELOPMENT
Anup Ojha* and Tanuj Joshi
Department of Pharmaceutical Sciences, Kumaun University Bhimtal Campus, Bhimtal, Nainital - 263136, Uttarakhand, India.
ABSTRACT: Pharmacogenomics (constitute both branch i.e pharmacology and genetic) is the study of the role of genetics in drug response. It deals with the effect of genetic variation on drug response in patient by correlating the gene expression with the pharmacokinetic parameter i.e absorption, distribution metabolism and excreation. The Pharmacogenomics is used in the research to increase the safety and efficacy of the drug by targeting the drug at the particular site of genes. Pharmacogenetic also play important role in the study of effect of multiple genes in the pharmacological action of drugs. In Pharmacogenomics we identify and study about various component of the genes that affect the therapeutic of the drug. Most of the drugs fail to show therapeutic effect at the latter stages it may be due to unexpected adverse effect of drug that may be due to the effect of various component of genes. Pharmacogenetic studies can be used at various stages of drug development. In clinical studies, pharmacogenetic can be used in stratification of patient based on their genotype, which correspond to their metabolizing capacity. This helps in prevention of various adverse drug reaction and better outcomes of clinical trial.
Keywords: |
Pharmacogenomic, pharmacogenetics, Drugs, Cytochrome, Variants
INTRODUCTION: Pharmacogenomics and pharmacogenetic are two inter-related term that are widely used for the drug development and therapy. Pharmacogenomics is the broad term in which we study about all the component of genes to find out various determinant of drug response 1. The various treatment therapy like cancer chemotherapy and oral-anticoagulant are now carried out with the help of pharmacogenetic status of patient, to minimize the toxicity and failure of the drug therapy 2, 3. At present the traditional method of selection of drug and dosage form is replaced by the pharmacogenetic method.
Definitions:
The study of variation in the drug response due to heredity character is called pharmacogenetic. The term pharmacogenetic was coined by Vogel in 1957 4. And the term Pharmacogenomics was introduced recently. The term pharmacogenetic and Pharmacogenomics are used interchangeable as there is no standard definition of the Pharmacogenomics. Lindpainter stated that Pharmacogenetic is a term used to differentiate between the compound but Pharmacogenomics is a term used to differentiate between the patient 5.
Sources of Variability:
Both the pharmacodynamic and pharmacokinetic factor is responsible for variation in drug response. Variability in the expression of the cytochrome P450 enzyme, which is responsible for phase I drug metabolism, has been focus of most of the work in pharmacokinetic. Cytochrome P450 2D6 (CYP4502D6), for example, in 8% of the U.K population the major CYP4502D6 enzyme is absent which is responsible for the metabolism of 25% of drugs, including CNS (antidepressant and antipsychotic) and cardiovascular (β-blocker and anti-arrhythmic) drugs. Much less work have been done in pharmacodynamic factor causing variation in drug response , but as drug can affect almost any protein in the body , almost every gene may have an effect on how drug vary in their response 6 .
FIG.1: VARIATION IN THE DRUG RESPONSE CAN BE DUE TO GENETICALLY DETERMINED FACTOR IN PHARMACOKINETIC AND PHARMACODYNAMIC.
Difference from pharmacogenetics and pharmacogenomics:
The term pharmacogenetic and Pharmacogenomics are interchangeable, however in this paper the definition provided by the “Position paper on terminology in pharmacogenetics”, issued by the European Agency for the Evaluation of Medicinal Products (EMEA) and very recently adopted by the Committee for Proprietary Medicinal Products (CPMP) is used 7. According to this paper, “pharmacogenetics is the study of inter individual variations in DNA sequence related to drug response”, while “Pharmacogenomics is the study of the variability of the expression of individual genes relevant to disease susceptibility as well as drug response at cellular, tissue, individual or population level. The terms are widely used in the various fields Such as clinical development, drug designing and drug discovery.
Possible implication of pharmacogenetic/ Pharmacogenomics for drug development:
The use of pharmacogenetic and Pharmacogenomics principle in the drug development process has reduced the drug dose, increase the rate of absorption and drug targeting is increased remarkably. These are considered as below and in Table 1.
- Target identification:
At present, the drugs that are present in the market act at less than 450 out of 1000 target in the human proteome 8. By using the technique of Pharmacogenomics and pharmacogenetic the number of target for the drug therapy have been increased remarkably through:
- Detection of new protein that is involved in disease process.
- Targeting the disease causing process.
- Pre- clinical drug development:
There is great impact of Pharmacogenomics in this phase of drug development. The in-vitro screening is only possible due to the identification of molecule defect, which is different in different people. For example: An advancement has been made by using the drug metabolizing enzyme i.e cytochrome P450 enzyme. These are the most important biological catalyst that are responsible for the metabolism of different types of drugs. This lead to the assessment of interaction of the drug with the enzyme such P450 enzyme.
- Phase I-III studies:
These phases of clinical trial provide regulatory approval to launch medicine in the market. The phase I clinical trial typically cost is nearly about 7 million, but it reaches upto 43 million for phase III clinical trial. The refinement of the phase I study is carried out by using pharmacogenomics principe, which focus on individual genotype through pre-clinical testing 9. The early identification of the defect in the drug during phase I may lead to droop the compound in early stage, which help in saving the development cost and time.
In phase II, there may be further refinement of the pharmacogenetic determinants of drug response, which may provide information necessary for design of the phase III studies. The net effect may be a reduction in sample size for phase III studies, which may in turn result in more efficient and quicker drug development, and a net reduction in cost 9.
- Phase IV studies:
This phase refers to period when the licences is granted to launch medicine in market, so this phase is also known as the as postmarketing surveillance or pharmacovigliance. In this phase various study ranging from hypothesis- generation, reporting to hypothesis- testing, pharmacoepidemiological studies are carried out throughout the whole period of the phase. With the help of Pharmacogenomics less effort is to be required to improve the marketing surveillance than harmonization of marketing authorization procedure and creation of single market 10.
In the phase large no of patient are exposed to the drugs, so even detection of rate adverse effect is carried out. Different sample of DNA from patient treated with drug were stored, which allow pharmacogenetic testing and identification of genetic predisposing factor, which lead to improvement of the risk-benefit ratio. This is best explained by abacavir hypersensitivity study, which lead to identification of major genetic predisposing factor in the MHC locus 11. Any reduction in the total number of patient in the phase III study lead to need of large number of patient , more structured phase IV study in order to identify rare and long term toxicity. Prospective collection of DNA sample is possible in phase IV 12 but expensive.
FIG.2: POTENTIAL FINANCIAL LOSS WITH PREMATURE TERMINATION OF A CLINICAL TRIAL 13
PCL (Preclinical study):
TABLE 1: APPLICATION OF PHARMACOGENOMIC/PHARMACOGENETIC METHOD IN VARIOUS STAGE OF DRUG DEVELOPMENT 13
Stage | Application of Pharmacogenomic/pharmacogenetics |
Drug target identification | Identification and characterization of the gene coding for the drug targeting and to assess the variability, |
Phase I clinical trial | Patient selection- inclusion/exclusion criteria |
Phase II clinical trial | Dose range selection
Dose modification |
Phase III clinical trial | Interpretation of trial results based on pharmacogenetics test results |
Phase IV clinical trial | Analysis of report adverse event with pharmacogenomics data during development by FDA. |
Regulatory issues | Requirement for submission of pharmacogenetic data during development by FDA, |
Patient therapeutics | Personalization of drug therapy.
Pharmacogenetic data in drug labelling. Identification of responders and non responders. Identification of high risk group of adverse event. |
History of Pharmacogenomic:
If we talk about the history of pharmacogenomics it takes us about 510 B.C back. in 510 b.c, Pythagoras investigated the potentially fatel reaction in some individual but not all individual on ingestion of fava beans 14. Since from this investigation there are numerious landmark (Table 2) that have suggested this field as research. Every 500-1000 bases of human genom varies is observed 15
TABLE 2: HISTORICAL OVERVIEW OF PHARMACOGENETIC AND PHARMACOGENOMIC.
Year | Individual(s) | Landmark |
510 B.C | Pythagoras | Recognition of the adverse event of ingestion of fava beans, later characterized to be due to deficiency of G6PD ( Glucose-6-phosphate dehydrogenase.14 |
1866 | Mendel | Establishment of the rules of heredity 16 |
1906 | Garrod | Publication of ‘inborn error of metabolism 17 |
1932 | Snyder | Characterization of ‘ phenylthiourea nontaster’ as an autosomal recessive trait 18 |
1956 | Carson et al. | Discovery of glucose-6-phosphate dehydrogenase deficiency 19 |
1957 | Motulsky | Further refined the concept that inherited defects of metabolism may explain individual differences in drug response 20 |
1957 | Kalow & Genest | Characterization of serum cholinesterase deficiency 21 |
1957 | Vogel | Coined the term pharmacogenetics 22 |
1960 | Price Evans | Characterization of acetylator polymorphism 23 |
1962 | Kalow | Publication of ‘pharmacogenetics – heredity and the response to drugs 24 |
1977/79 | Mahgoub et al. and Eichelbaum et al. | Discovery of the polymorphism in dibrisoquine hydroxylase sparteine oxidase 25, 26 |
1988 | Gonzalez et al. | Characterization of the gentic defect debrisoquine hydroxlase , later termed CYP2D6 27 |
1988-2000 | Various | Identification of specific polymorphisms in various phase I and phase II drug metabolizing enzymes, and latterly in drug transporters. |
2000 | Public- private partnership | Completion of the first draft of the human genome 28, 29 |
2000 | The international SNP (single nucleotide polymorphism) Map Working Group | Completion of Map of human genom sequence variation containing 1.42 million SNPs 30 |
Current Success in Pharmacogenomic:
Codeine:
In children and adult, codeine (3-methyl morphine) is one of the most widely used drug for the treatment of mild to moderate pain. Codeine itself does not have its analgesic effect, it get converted to its pharmacologically active metabolite, morphine in liver which is responsible for analgesic activity and have approximately 600 times more analgesic effect than that of codeine 31. Recently the use of codeine has been decreased due to codeine related toxicity. The serious or fatel adverse reaction have been observed in the neonate after receiving the breast milk of the mother receiving standard dose of codeine for post-partum pain 32, 33.
Tonsillectomies and adenoidectomies adverse effect have been reported in the children taking codeine for reliefing pain 34, 35. The cytochrome P450 2D6 (CYP450 2D6) is the enzyme which is responsible for the biotransformation of the codeine to morphine, is highly polymorphic with over 100 genetic variants described in the CYP450 2D6 gene 36. The patient with more than three or more functional copies of CYP450 2D6 are classified as ultra rapidly metabolizers, which rapidly convert codeine to morphine and produces morphine toxicity even at very low dose. The morphin toxicity observed are respiratory depression and in rare case the death have been reported due to presence of these highly active alleles (CYP4502D6* 1xN/*2xN/*17Xn/*35Xn; where N represent number of copies) 34, 37. In some patient the codeine does not get converted into morphine due to the presence of poor metabolizing enzyme CYP4502D6 , hence minimal analgesic effect and pain relief 38.
The amount of morphine produced form the codeine varies from individual ranging from o% to 75% 37. Clinical practice guideline have recently been developed to inform physician on the use of genetic testing for safe and more effective dosing of codeine by identification of individuals 36, 39.
Warfarin:
Warfarin is an anticoagulant used for prevention and treatment of venous thromboembolism by inhibiting the enzyme vitamin K epoxide reductase, encoded in VKORC1, due to which the amount of vitamin K available for synthesis of coagulation factor get decreased. The dose of warfarin required to produce anticoagulant effect varies about 20 fold from individual to individual patient. In case of warfarin several adverse effect can be observed such as bleeding or thrombosis due to narrow therapeutic window and inappropriate dosing in individual 40. The dose of the warfarin depend upon both the genetic and clininical factor. For example genetic variant in VKORC1 as well as the cytochrome P450 2C9 (CYP2C9) gene, which is primarily responsible for metabolizing the pharmacologically active S-warfarin isomer, confer an increased variant [VKORC1rs9923231, CYP2C9 rs1799853(*2),rs1057910] requires lower warfarin doses to achieves equivalent therapeutic effects 41, 42.
The several other gene that influences the warfarin dose are cytochrome P450 4F2 (CYP4F2) and gamma glutamyl carboxylase (GGCX) 43, 44. The impact of the genes on the variation of warfarin dose is very minor after the accounting for VKORC1 and CYP2C9 variant. The recent study shows a significant association between warfarin and VKORC/CYP2C9 genome in pediatric patient , which shows that same genetic variants are important for warfarin dosing in children 45, 46, 47. For the predication of the accurate dose of warfarin several pharmacogenetic based dosing algorithms have been developed 48, 49.
Carbamazepine:
Carbamazepine is one of frequently used anticonvulsant drug used for treatment of the epilepsy, trigeminal neuralgia, bipolar disorder and seizure disorder in both children and adult 50, 51. The several sever side effect have been observed in patient taking carbamazepine such as life- threatening cutacous adverse reaction, Hypersensitivity reaction, Stevens-Johnsonsyndrome(SJS) and toxic epidermal necrolysis(TEN) 52. Hypersensitivity reaction is generally characterized by high fever, skin eruption and involvement of at least one internal internal organ with approximately mortality of 10%. SJS and TEN are serious bilistering reaction of skin and mucous membrane which mortality rate range from 10% to 50% 53. The genetic variants in human leukocyte antigen (HLA) region lead to carbamazepine induced hypersensitivity reaction in both child and adult.
The higher risk of SJS/TEN have been reported in patient carrying the HLA-B*1502 variant 54, 55. While HLA-A*31:01 allele is primarily predective for HSS. The carbamazepine- induced SLS/TEN largely depend on the genetic of the patient ancestry. The number of the HLA-B*1502 variant is high (10-15%) in the Asia including china, Malaysia, Thailand, Indonesia, Tawani and Vietnam but rare (<1%) in Japan, Korea, Africa, America, European, and Hispanic population 56, 57.
Recently it have been reported that in European population the carbamazepine-induced adverse reaction including SJS/TEN and HSS is due to HLA-A*31:01 Haplotype. Pharmacogenomoic testing for HLA-B*15:02 is in standard practice in at least 50 hospital in Taiwan and is currently recommended by the FDA for patient with ancestry in at risk-populations. For clinicians, clinical practice guidelines are available to make genotype- based decision for patient with an indication with carbamazepine therapy 58, 59
TABLE 3:
Drugs | Associated gene(s) | Associated variants | Associated variant effect | Clinical practice recommendation | Reference |
Codeine | CYP2D6 | *1xN/*2xN/*35xN
|
Increased activity;
Life-threatening CNS depressive effect |
Avoid codeine use because of potential for toxicity. consider alternative analgesic. | 36, 39 |
*4xN/*3-*8
/*12/*15/*19/*20/*40/*42/*44/*56 |
No active; impaired/ greatly reduced analgesia | Avoid codeine use because of lack of efficacy. Consider alternative analgesic. | 36, 39 | ||
*9/*10/*11*17/*29/*41/*29/*50/*43/*55/*59 | Reduced activity; reduced analgesia | Codeine used as per standard care. If no response, consider using alternative analgesic | 36, 39 | ||
Warfarin | CYP2C9 | rs1799853(*2) | Decreased activity; reduced dose requirement | Use of pharmacogenetic algorithm-based dosing is recommended when possible. Initial dosing ranges for patients with different combination of CYP2C9 and VKORC1 genotype provided on drug lable. | 60, 61 |
Rs1057910(*3) | Decreased activity; reduced dose requirement | ||||
VKORC1 | rs9923231 | Reduced expression; reduced dose requirement | |||
Carbamazepine | HLA | B*1502 | Increase risk of carbamazepine-associated Stevens-Johnson syndrome and toxicity epidermal necrolysis(SJS/TEN) | Do not use carbamazepine in native people that are positive for HLA-B*1502. If patient used carbamazepine for longer than 3 months with out | 58, 59 |
A*31:01 | Increased risk of carbamazepine-associated hypersensitivity syndrome(HSS) |
Method of Studying Genetic Bases of Drug Response Variation:
- Candidate gene approach:
In this method, the identification of genetic determinants of drug response variability involves identification of association between various allelic variants or SNPs within the candidate gene and the drugs response 62. This method starts with the identification of the candidate genes. The drug response may be due to candidate gens, which code for the drug metabolizing enzyme, the drug transporting protein , protein involved in cellular mechanism and the receptor protein. The study that is carried with the help of candidate gene is generally for allelic variants. More than allelic variant or SNPs are found in candidate gene. This method of study is generally carried in people with altered drug response (case) and people with normal drug response (control). This method of the study of genetic base of drug response varrriation is less expensive than linkage disequilibrium studies and genome wide study 62.
- Genome wide scan:
This method of study is very extensive and elaborate form for the study of effect of various allelic variants occurring throughout the genome and the study of the drug response in diseased condition. In this the identification of all allelic variants are carried out in the entire human genome and SNP map is created. This method is carried for testing the drug response variation 63. The advantage of this method in comparassion to the other method is that, it can identify the polygenic determinants of drug response. The human genome has approximately three million SNPs and it is very expensive to screen all the SNPs. As a result, only representative SNPs that are distributed in the human genome are selected for screening. This may ranges from 200000 to 300000 64.
- Haplotype analysis:
This method of analysis is used for the study of the cluster of the SNPs occurring linkage disequilibrium in a chromosome and their association with the drug response. This method of analysis is different from the genome wide scan. In that we only study about the selected Haplotype not the entire genome. Haplotype blocks are created by clustering selective SNPs and their linkage disequilibrium is tested for association with clinical outcomes. More information can be obtained from the Haplotype analysis than that of the pharmacogenetic study of the single nucleotide polymorphism and is cost effective. From above study we can identify the various genetic determinant for drug response and development of drug can be customized accordingly. The same method can be used in the clinical trial for determination of adverse effect.
Pharmacogenomics and Drugs Development:
Initially the drug discovery in psychiatric was based on the serendipity. After the identification of the lithium in 1949 and chlorpromazine in 1950s, the purgative mechanism of action were elucidated after drug were shown to be efficacious. The newer drug discover paradigms depends on the synthesis and identification of novel compound through combinatorial chemistry and screening for biological screening for biological activity against known receptor or other biological targets with established endogenous ligands or substance 49, 60.
The experimental paradigms used in the pharmacogenomics was borrowed from the field of the population genetics and methodology used in earlier genetic study of common complex disease 60, 61. According to the human genome project all the human genes available act as the potential drug target. Then the main challenge of the drug discovery is the functional and therapeutic utilization of these genes and their expressed product. The pharmacogenomics brought the Experimental paradigms from the field of population genetics and the methodology used in earlier genetic studies of common diseases 60, 61.
DNA microarray is an emerging powerful technological breakthrough that enables the study of global gene expression pattern and sequence variation at genome level 62. DNA micro assay is the extended form of the southern bolt procedure in which the stretching of different cDNAs or oligonucleotide are carried on a solid surface such as silica or glass plate. In microarray each DNA species represent specific gene or expressed sequence tag, which is used to identify different SNPs or transcripts by hybridization and fluorescence detection.
CONCLUSION: Pharmacogenomics is one of the most important tool used worldwide to find the adverse drug reaction as well as for the development of new drug. The cost and time for the development of new drugs can be minimized with the help of this tool. The personalization of the treatment can be carried out with the help of Pharmacogenomic/ pharmacogenetic study. So, the Pharmacogenomics is the future of the drug discovery and development. At present, however, it is not clear whether and what extent the genomic hypothesis can be tested within the framework of available clinical trial methodology. For example, the sample size for phase clinical trial is not more than 3000 to 4000 patient. But the genomic studies reduces the sample size than that of the current resource of any single pharmaceutical company or an academic laboratory.
REFERENCES:
- McCarthy AD, Kennedy JL, Middleton LT: Pharmacogenetics in drug development, Philos Trans R soc Lond B Bio sci 2005;360:1579-88
- Lee SY, Nam MH, Kim JS, Kim JW: A case report of a patient carrying CYP2C9*3/4 genotype wuth extremely low Warfarin dose requirement. J Korean Med science 2007; 22:557-9
- Young WP, Innocenti F, Ratain MJ: The role of pharmacogenetics in cancer therapeutics. Br J Clinical Pharmacology 2006; 62:35-46
- Pirmohamed M and Park BK: Genetic susceptibility to adverse drug reactions. Trends in Pharmacological Sciences 2001; 22: 298-305.
- Lindpaintner K: Pharmacogenetics and the future of medical practice, British Journal of Clinical Pharmacology 2002; 54:221-230.
- Bennett PN, Brown MJ, Sharma P: Clinical pharmacology. Elsevier publication, Tenth edition 2008:101
- Pirazzoli, G. Recchia: Pharmacogenetics and pharmacogenomics: are they still promising?. Pharmacological Research 2004;49:357–361
- Norton RM: Clinical pharmacogenomics: applications in pharmaceutical R&D. Drug Discovery Today 2001; 6:180 -185.
- Brazell C, Freeman A and Mosteller M: Maximizing the value of medicines by including pharmacogenetic research in drug development and surveillance. British Journal of Clinical Pharmacology2002; 53:224-31.
- Abraham J and Lewis G: Regulating medicines in Europe: Competition, expertise and public health. London: Routledge, 2000; 7:135-140.
- Mallal S, Nolan D, Witt C, Masel G, Martin AM, Mooe C, Sayer D, Castley A, Mamotte C, Maxwell D, James I, Christiansen FT: Association betweenpresence of HLA-B*5701, HLA-DR7, and HLA-DQ3 and hypersensitivity to HIV-1 reversetranscriptase inhibitor abacavir. Lancet 2002; 359:727-732.
- Roses A D: Pharmacogenetics and the practice of medicine. Nature, 2000;405:857-865
- Surendiran A, pradhan SC, Adithan C: Role of Pharmacogenomics in drug discovery and development. Indian J Pharmacology 2008: 137-143
- Nebert DW: Pharmacogenetics and pharmacogenomics: why is this relevant to the clinical geneticist? Clin Genet 1999; 56: 247±258.
- Roses AD: Pharmacogenetics and the practice of medicine. Nature 2000; 405: 857±865.
- Mendel JG: Verusche uber P¯anzen-Hybride. Verhandlungen des naturforschenden Vereines in Brunn, 4, 1866
- Garrod AE: Inborn Errors of Metabolism. New York, Oxford University Press, 1909.
- Snyder LH: Studies in human inheritance IX. The inheritance of taste de®ciency in man. Ohio J Sci 1932; 32: 436±468.
- Carson PE, Flanagan CL, Ickes CE, Alvong AS: Enzymatic de®ciency in primaquine sensitive erythrocytes. Science 1956; 124: 484±485.
- Motulsky AG: Drug reactions, enzymes and biochemical genetics. JAMA 1957; 165: 835-837.
- Kalow W and Genest K: A method for the detection of atypical forms of human serum cholinesterase. Determination of dibucaine numbers. Can J Biochem Physiol 1957; 35: 339±346.
- Vogel F: Moderne probleme der Humangenetik. Ergeb Inn Med Kinderheild 1959; 12: 52±125.
- Price Evans DAP, Manley KA, McKusick VA: Genetic control of isoniazid metabolism in man. Br Med J 1960; 2:4484±4491.
- Kalow W: Pharmacogenetics ± Heredity and the Responses to Drugs. Philadelphia: W.B. Saunders, 1962.
- Mahgoub A, Idle JR, Dring LG, Lancaster R, Smith RL: Polymorphic hydroxylation of debrisoquine in man. Lancet 1977; 2: 584±586.
- Eichelbaum M, Spannbrucker N, Steincke B, Dengler HJ: Defective N-oxidation of sparteine in man, a new pharmacogenetic defect. Eur J Clin Pharmacol 1979; 16: 183±187.
- Gonzalez FJ, Skoda RC, Kimura S, et al: Characterizationof the common genetic-defect in humansde®cient in debrisoquine metabolism. Nature 1988; 331: 442±446.
- Lander ES, Linton LM, Birren B, et al: Initial sequencing and analysis of the human genome. Nature 2001; 409 (6822): 860±921.
- Venter JC, Adams MD, Myers EW, et al: The sequence of the human genome. Science 2001; 291: 1304
- The International SNP Map Working Group. A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms. Nature 2001; 409: 928±933.
- Volpe D, McMahon Tobin G, Mellon R et al: Uniform assessment and ranking of opioid μ receptor binding constants for selected opioid drugs. Regul Toxicol Pharmacol 2011: 59 (3): 385–390.
- Madadi P, Ross CJ, Hayden MR et al: Pharmacogenetics of neonatal opioid toxicity following maternal use of codeine during breastfeeding: a case-control study. Clin Pharmacol Ther 2009: 85 (1): 31–35.
- Koren G, Cairns J, Chitayat D, Gaedigk A and Leeder SJ: Pharmacogenetics of morphine poisoning in a breastfed neonate of a codeine-prescribed mother. Lancet 2006: 368 (9536): 704.
- Ciszkowski C, Madadi P, Phillips M, Lauwers A and Koren G: Codeine, ultrarapid-metabolism genotype, and postoperative death. N Engl J Med2009: 361 (8): 827–828.
- Kelly L, Rieder M, van den Anker J et al: More codeine fatalities after tonsillectomy in North American children. Pediatrics 2012: 129 (5): 7.
- Madadi P, Amstutz U, Rieder M et al: Clinical practice guideline: CYP2D6 genotyping for safe and efficacious codeine therapy. J Popul Ther Clin Pharmacol 2013: 20 (3): 96.
- Gasche Y, Daali Y, Fathi M et al: Codeine intoxication associated with ultrarapid CYP2D6 metabolism. N Engl J Med 2004: 351 (27):2827–2831.
- Somogyi A, Barratt D and Coller J: Pharmacogenetics of opioids. Clin Pharmacol Ther 2007: 81 (3): 429–444.
- Crews K, Gaedigk A, Dunnenberger H et al: Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for codeine therapy in the context of cytochrome P450 2D6 (CYP2D6) genotype. Clin Pharmacol Ther 2012: 91 (2): 321–326.
- Lindh JD, Holm L, Dahl ML, Alfredsson L and Rane A: Incidence and predictors of severe bleeding during warfarin treatment. J Thromb Thrombolysis 2008: 25 (2): 151–159.
- Rieder MJ, Reiner AP, Gage BF et al: Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose. N Engl J Med 2005: 352(22): 2285–2293.
- Aithal GP, Day CP, Kesteven PJ and Daly AK: Association of polymorphisms in the cytochrome P450 CYP2C9 with warfarin dose requirement and risk of bleeding complications. Lancet 1999: 353 (9154): 717–719.
- Caldwell MD, Awad T, Johnson JA et al: CYP4F2 genetic variant alters required warfarin dose. Blood 2008: 111 (8): 4106–4112.
- Rieder MJ, Reiner AP and Rettie AE; Gamma-Glutamyl carboxylase (GGCX) tagSNPs have limited utility for predicting Warfarin maintenance dose. J Thromb Haemost 2007: 5 (11): 2227–2234.
- Biss TT, Avery PJ, Brandao LR et al: VKORC1 and CYP2C9 genotype and patient characteristics explain a large proportion of the variability in warfarin dose requirement among children. Blood 2012: 119 (3):868–873.
- Nguyen N, Anley P, Yu MY, Zhang G, Thompson AA and Jennings LJ: Genetic and clinical determinants influencing warfarin dosing in childrenwith heart disease. Pediatr Cardiol 2012: 34 (4): 984–990.
- Shaw K, Amstutz U, Hildebrand C et al: VKORC1 and CYP2C9genotypes are predictors of warfarin-related outcomes in children. Pediatr Blood Cancer 2014. DOI: 10.1002/pbc.2493.
- Gage BF, Eby C, Johnson JA et al: Use of pharmacogenetic and clinical factors to predict the therapeutic dose of warfarin. Clin Pharmacol Ther2008: 84 (3): 326–331.
- Klein TE, Altman RB, Eriksson N et al: Estimation of theWarfarin dose with clinical and pharmacogenetic data. N Engl J Med 2009: 360 (8):753–764.
- van de Vrie-Hoekstra N, de Vries T, van den Berg P, Brouwer O and de Jong-van den Berg L: Antiepileptic drug utilization in children from 1997-2005 – a study from the Netherlands. Eur J Clin Pharmacol 2008:64 (10): 1013–1020.
- Landmark C, Fossmark H, Larsson P, Rytter E and Johannessen S: Prescription patterns of antiepileptic drugs in patients with epilepsy in a nation-wide population. Epilepsy Res 2011: 95 (1-2): 51–59.
- Roujeau J and Stern R: Severe adverse cutaneous reactions to drugs. N Engl J Med 1994: 331 (19): 1272–1285.
- Genin E, Chen DP and Hung SI et al: HLA-A*31:01 and different types of carbamazepine-induced severe cutaneous adverse reactions: an international study and meta-analysis. Pharmacogenomics J 2013
- Chung W-H, Hung S-I, Hong H-S et al: Medical genetics: a marker for Stevens-Johnson syndrome. Nature 2004: 428 (6982): 486.
- Hung S-I, Chung W-H, Jee S-H et al: Genetic susceptibility to carbamazepine-induced cutaneous adverse drug reactions. Pharmacogenet Genomics 2006: 16 (4): 297–306.
- Ma J, Lee K and Kuo G Clinical application of pharmacogenomics. J Pharm Pract 2012: 25 (4): 417–427.
- Lonjou C, Thomas L, Borot N et al: A marker for Stevens-Johnson syndrome ethnicity matters. Pharmacogenomics J 2006: 6 (4):265–268.
- Amstutz U, Shear N, Rieder M et al: Recommendations for HLA-B*15:02 and HLA-A*31:01 genetic testing to reduce the risk of carbamazepine-induced hypersensitivity reactions. Epilepsia 2014.
- Leckband S, Kelsoe J, Dunnenberger H et al: Clinical Pharmacogenetics Implementation Consortium guidelines for HLA-B genotype and carbamazepine dosing. Clin Pharmacol Ther 2013: 94 (3): 324–328
- Johnson JA, Gong L, Whirl-Carrillo M et al: Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C9 and VKORC1 genotypes and warfarin dosing. Clin Pharmacol Ther 2011: 90 (4):625–629.
- Holbrook A, Schulman S, Witt D Metal: Evidence-based management of anticoagulant therapy: antithrombotic therapy and prevention of thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines. Chest 2012: 141 (Suppl. 2): e152S–e184S.
- Kwon JM and Goate AM: The candidate gene approach. Alchol Res Health 2000;24:164-8
- Roses AD: Pharmacogenetics and the practice of medicine. Nature 2000; 405:857-65.
- Johnson JA: Drug target pharmacogenomics: An overview. Am J Pharmacogenomics 2001;1:271-81
- Feltus MS and Gardner DM: Second generation antipsychotics for schizophrenia. Can J Clin Pharmacol 1999; 6:187–195.
- Kleyn PW and Vesell ES: Genetic variation as a guide to drug development. Science 1998; 281:1820–1821.
- Lander ES and Schork NJ: Genetic dissection of complex traits. Science 1994; 265:2037–2048.
- Hacia JG, Brody LC and Collins FS: Applications of DNA chips for genomic analysis. Mol Psychiatry 1998; 3:483–492.
How to cite this article:
Ojha A and Joshi T: A Review on the Role of Pharmacogenomics in Drug Discovery and Development. Int J Pharm Sci Res 2016; 7(9): 3587-95.doi: 10.13040/IJPSR.0975-8232.7(9).3587-95.
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Article Information
4
3587-95
371
2388
English
IJPSR
Anup Ojha* and Tanuj Joshi
Department of Pharmaceutical Sciences, Kumaun University Bhimtal Campus, Bhimtal (Nainital), Uttarakhand, India
anup_ojha50@yahoo.com
14 April, 2016
14 June, 2016
29 June, 2016
10.13040/IJPSR.0975-8232.7(9).3587-95
01 September 2016