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Cost Effectiveness of Pharmacogenomics

A Critical and Systematic Review

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  • CEA of Pharmacogenomics: Systematic Review
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Abstract

The use of pharmacogenetic testing in clinical practice is limited thus far. A potential barrier to the widespread implementation of pharmacogenetic testing is the lack of evidence on whether testing provides good value for money. The objective of this review was to provide a systematic and critical review of economic evaluations of pharmacogenetic testing. A literature search using publically available databases was performed for articles published up to October 2009. To be included, studies had to meet the definition of being a pharmacogenomic study (defined as use of information on human genetic variation to target drug therapy) and an economic evaluation (defined as an evaluation of both costs and clinical outcomes). Articles that met these criteria were subsequently reviewed and graded using the Quality of Health Economic Studies (QHES) instrument. Lastly, the evidence for biomarker validity and utility were qualitatively assessed using expert opinion.

A total of 34 articles were identified using our defined criteria. The most common disease category was thromboembolic-related diseases (26%), while the most common biomarkers were thiopurine methyltransferase and cytochrome P450 2C9 (18% each). Almost all studies were published after 2004 (91%). Two types of studies were identified: cost-effectiveness studies and cost-utility studies, with roughly half of the overall studies being cost-utility studies (53%) and a majority of these published within the last 3 years. The average quality score was 77 (range 29–99). Of the biomarkers reviewed, it was estimated that most had demonstrated clinical validity, but only two had demonstrated clinical utility.

Despite a recent increase in the number of economic evaluations of pharmacogenetic applications, further studies examining the clinical validity and utility of these biomarkers are needed to support cost-effectiveness assessments.

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References

  1. Ginsburg GS, Willard HF. Genomic and personalized medicine: foundations and applications. Transl Res 2009 Dec; 154 (6): 277–87

    Article  PubMed  Google Scholar 

  2. Flowers CR, Veenstra D. The role of cost-effectiveness analysis in the era of pharmacogenomics. Pharmacoeconomics 2004; 22 (8): 481–93

    Article  PubMed  Google Scholar 

  3. Phillips KA, Van Bebber SL. A systematic review of costeffectiveness analyses of pharmacogenomic interventions. Pharmacogenomics 2004 Dec; 5 (8): 1139–49

    Article  PubMed  Google Scholar 

  4. Dervieux T, Bala MV. Overview of the pharmacoeconomics of pharmacogenetics. Pharmacogenomics 2006 Dec; 7 (8): 1175–84

    Article  PubMed  CAS  Google Scholar 

  5. Carlson JJ, Henrikson NB, Veenstra DL, et al. Economic analyses of human genetics services: a systematic review. Genet Med 2005 Oct; 7 (8): 519–23

    Article  PubMed  Google Scholar 

  6. Vegter S, Boersma C, Rozenbaum M, et al. Pharmacoeconomic evaluations of pharmacogenetic and genomic screening programmes: a systematic review on content and adherence to guidelines. Pharmacoeconomics 2008; 26 (7): 569–87

    Article  PubMed  CAS  Google Scholar 

  7. US National Library of Medicine, National Institutes of Health. Pub Med [online]. Available from URL: http://www.pubmed.gov [Accessed 2010 Jul 19]

    Google Scholar 

  8. National Institute for Health and Clinical Excellence. NHS evidence [online]. Available from URL: http://www.nice.org.uk/nhsevidence/ [Accessed 2010 Jul 19]

    Google Scholar 

  9. Tufts Medical Centre. Institute for Clinical Research and Health Policy Studies. Center for the Evaluation of Value and Risk in Health [online]. Available from URL: http://www.tufts-nemc.org/cearegistry [Accessed 2010 Jul 19]

    Google Scholar 

  10. Canadian Agency for Drugs and Technologies in Health (CADTH) [online]. Available from URL: http://www.cadth.ca/index.php/en/home [Accessed 2010 Jul 19]

  11. Drummond M, Sculpher MJ, Torrance GW, et al. Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press, 2005

    Google Scholar 

  12. Chiou CF, Hay JW, Wallace JF, et al. Development and validation of a grading system for the quality of cost-effectiveness studies. Med Care 2003 Jan; 41 (1): 32–44

    Article  PubMed  Google Scholar 

  13. Ofman JJ, Sullivan SD, Neumann PJ, et al. Examining the value and quality of health economic analyses: implications of utilizing the QHES. J Manag Care Pharm 2003 Jan-Feb; 9 (1): 53–61

    PubMed  Google Scholar 

  14. Drummond MF, Jefferson TO. Guidelines for authors and peer reviewers of economic submissions to the BMJ. BMJ 1996 Aug 3; 313 (7052): 275–83

    Article  PubMed  CAS  Google Scholar 

  15. Centers for Disease Control and Prevention. Public health genomics: genomic translation. ACCE model process for evaluating genetic tests [online].Available from URL: http://www.cdc.gov/genomics/gtesting/ACCE/index.htm [Accessed 2009 Dec 9]

    Google Scholar 

  16. Kemp LK, Doran CM, Vos T, et al. Cost-effectiveness analysis of genetic screening for the Taq1B polymorphism in the secondary prevention of coronary heart disease. Exp Rev Pharmacoeconomics Outcomes Res 2007; 7 (2): 119–28

    Article  Google Scholar 

  17. King CH, Fischler DF, Gerkin RD. Will genetic testing alter the management of disease caused by infectious agents? A cost-effectiveness analysis of gene-testing strategies for prevention of rheumatic fever. Clin Infect Dis 2002 Jun 1; 34 (11): 1491–9

    Google Scholar 

  18. Tavadia SM, Mydlarski PR, Reis MD, et al. Screening for azathioprine toxicity: a pharmacoeconomic analysis based on a target case. J Am Acad Dermatol 2000 Apr; 42 (4): 628–32

    PubMed  CAS  Google Scholar 

  19. Barrow E, McMahon R, Evans DG, et al. Cost analysis of biomarker testing for mismatch repair deficiency in nodepositive colorectal cancer. Br J Surg 2008 Jul; 95 (7): 868–75

    Article  PubMed  CAS  Google Scholar 

  20. Chou WH, Yan FX, de Leon J, et al. Extension of a pilot study: impact from the cytochrome P450 2D6 polymorphism on outcome and costs associated with severe mental illness. J Clin Psychopharmacol 2000 Apr; 20 (2): 246–51

    Article  PubMed  CAS  Google Scholar 

  21. Jorgensen AL, Al-Zubiedi S, Zhang JE, et al. Genetic and environmental factors determining clinical outcomes and cost of warfarin therapy: a prospective study. Pharmacogenet Genomics 2009 Oct; 19 (10): 800–12

    Article  PubMed  CAS  Google Scholar 

  22. Desta Z, Zhao X, Shin JG, et al. Clinical significance of the cytochrome P450 2C19 genetic polymorphism. Clin Pharmacokinet 2002; 41 (12): 913–58

    Article  PubMed  CAS  Google Scholar 

  23. Gagne G, Reinharz D, Laflamme N, et al. Hereditary hemochromatosis screening: effect of mutation penetrance and prevalence on cost-effectiveness of testing algorithms. Clin Genet 2007 Jan; 71 (1): 46–58

    Article  PubMed  CAS  Google Scholar 

  24. Anderson K, Jacobson JS, Heitjan DF, et al. Cost-effectiveness of preventive strategies for women with a BRCA1 or a BRCA2 mutation. Ann Intern Med 2006 Mar 21; 144 (6): 397–406

    PubMed  Google Scholar 

  25. Phillips KA, Ackerman MJ, Sakowski J, et al. Cost-effectiveness analysis of genetic testing for familial long QT syndrome in symptomatic index cases. Heart Rhythm 2005 Dec; 2 (12): 1294–300

    Article  PubMed  Google Scholar 

  26. Wonderling D, Umans-Eckenhausen MA, Marks D, et al. Cost-effectiveness analysis of the genetic screening program for familial hypercholesterolemia in the Netherlands. Semin Vasc Med 2004 Feb; 4 (1): 97–104

    Article  PubMed  Google Scholar 

  27. Higashi MK, Veenstra DL, del Aguila M, et al. The costeffectiveness of interleukin-1 genetic testing for periodontal disease. J Periodontol 2002 Dec; 73 (12): 1474–84

    Article  PubMed  Google Scholar 

  28. Marang-van de Mheen PJ, ten Asbroek AH, Bonneux L, et al. Cost-effectiveness of a family and DNA based screening programme on familial hypercholesterolaemia in the netherlands. Eur Heart J 2002 Dec; 23 (24): 1922–30

    Article  Google Scholar 

  29. Dendukuri N, Khetani K, McIsaac M, et al. Testing for HER2-positive breast cancer: a systematic review and cost-effectiveness analysis.CMAJ 2007 May 8; 176 (10): 1429–34

    PubMed  Google Scholar 

  30. Morelle M, Hasle E, Treilleux I, et al. Cost-effectiveness analysis of strategies for HER2 testing of breast cancer patients in France. Int J Technol Assess Health Care 2006 Summer; 22 (3): 396–401

    Article  PubMed  Google Scholar 

  31. Auerbach AD, Sanders GD, Hambleton J. Cost-effectiveness of testing for hypercoagulability and effects on treatment strategies in patients with deep vein thrombosis. Am J Med 2004 Jun 15; 116 (12): 816–28

    Article  PubMed  Google Scholar 

  32. Eckman MH, Singh SK, Erban JK, et al. Testing for factor V leiden in patients with pulmonary or venous thromboembolism: a cost-effectiveness analysis. Med Decis Making 2002 Mar-Apr; 22 (2): 108–24

    PubMed  Google Scholar 

  33. Marchetti M, Pistorio A, Barosi G. Extended anticoagulation for prevention of recurrent venous thromboembolism in carriers of factor V leiden: cost-effectiveness analysis. Thromb Haemost 2000 Nov; 84 (5): 752–7

    PubMed  CAS  Google Scholar 

  34. Bushnell CD, Datta SK, Goldstein LB. Cost implications of specialized coagulation testing for acute ischemic stroke. J Stroke Cerebrovasc Dis 2001 Nov-Dec; 10 (6): 279–83

    Article  PubMed  CAS  Google Scholar 

  35. Marchetti M, Quaglini S, Barosi G. Cost-effectiveness of screening and extended anticoagulation for carriers of both factor V leiden and prothrombin G20210A. QJM 2001 Jul; 94 (7): 365–72

    Article  PubMed  CAS  Google Scholar 

  36. Eckman MH, Rosand J, Greenberg SM, et al. Cost-effectiveness of using pharmacogenetic information in warfarin dosing for patients with nonvalvular atrial fibrillation. Ann Intern Med 2009 Jan 20; 150 (2): 73–83

    PubMed  Google Scholar 

  37. Gold HT, Hall MJ, Blinder V, et al. Cost effectiveness of pharmacogenetic testing for uridine diphosphate glucuronosyltransferase 1A1 before irinotecan administration for metastatic colorectal cancer. Cancer 2009 Sep 1; 115 (17): 3858–67

    Article  PubMed  CAS  Google Scholar 

  38. Meckley LM, Gudgeon JM, Anderson JL, et al. A policy model to evaluate the benefits, risks and costs of warfarin pharmacogenomic testing. Pharmacoeconomics 2009; 28 (1): 1–15

    Google Scholar 

  39. Patrick AR, Avorn J, Choudhry NK. Cost-effectiveness of genotype-guided warfarin dosing for patients with atrial fibrillation. Circ Cardiovasc Qual Outcomes 2009 September 1; 2 (5): 429–36

    Article  PubMed  Google Scholar 

  40. Perlis RH, Patrick A, Smoller JW, et al. When is pharmacogenetic testing for antidepressant response ready for the clinic? A cost-effectiveness analysis based on data from the STAR*D study. Neuropsychopharmacology 2009 Sep; 34 (10): 2227–36

    CAS  Google Scholar 

  41. Vegter S, Perna A, Hiddema W, et al. Cost-effectiveness of ACE inhibitor therapy to prevent dialysis in nondiabetic nephropathy: influence of the ACE insertion/deletion polymorphism. Pharmacogenet Genomics 2009 Sep; 19 (9): 695–703

    Article  PubMed  CAS  Google Scholar 

  42. Carlson JJ, Garrison LP, Ramsey SD, et al. The potential clinical and economic outcomes of pharmacogenomic approaches to EGFR-tyrosine kinase inhibitor therapy in nonsmall-cell lung cancer. Value Health 2009 Jan; 12 (1): 20–7

    Article  PubMed  Google Scholar 

  43. Schackman BR, Scott CA, Walensky RP, et al. The costeffectiveness of HLA-B*5701 genetic screening to guide initial antiretroviral therapy for HIV. AIDS 2008 Oct 1; 22 (15): 2025–33

    Article  PubMed  Google Scholar 

  44. Smith KJ, Monsef BS, Ragni MV. Should female relatives of factor V leiden carriers be screened prior to oral contraceptive use? A cost-effectiveness analysis. Thromb Haemost 2008 Sep; 100 (3): 447–52

    CAS  Google Scholar 

  45. Welton NJ, Johnstone EC, David SP, et al. A cost-effectiveness analysis of genetic testing of the DRD2 Taq1A polymorphism to aid treatment choice for smoking cessation. Nicotine Tob Res 2008 Jan; 10 (1): 231–40

    Article  PubMed  CAS  Google Scholar 

  46. Lyman GH, Cosler LE, Kuderer NM, et al. Impact of a 21-gene RT-PCR assay on treatment decisions in early-stage breast cancer: an economic analysis based on prognostic and predictive validation studies. Cancer 2007 Mar 15; 109 (6): 1011–8

    Article  PubMed  Google Scholar 

  47. Veenstra DL, Harris J, Gibson RL, et al. Pharmacogenomic testing to prevent aminoglycoside-induced hearing loss in cystic fibrosis patients: potential impact on clinical, patient, and economic outcomes.Genet Med 2007 Oct; 9 (10): 695–704

    Article  PubMed  CAS  Google Scholar 

  48. Meckley LM, Veenstra DL. Screening for the alpha-adducin Gly460Trp variant in hypertensive patients: a cost-effectiveness analysis. Pharmacogenet Genomics 2006 Feb; 16 (2): 139–47

    Article  PubMed  CAS  Google Scholar 

  49. Priest VL, Begg EJ, Gardiner SJ, et al. Pharmacoeconomic analyses of azathioprine, methotrexate and prospective pharmacogenetic testing for the management of inflammatory bowel disease. Pharmacoeconomics 2006; 24 (8): 767–81

    Article  PubMed  Google Scholar 

  50. Hornberger J, Cosler LE, Lyman GH. Economic analysis of targeting chemotherapy using a 21-gene RT-PCR assay in lymph-node-negative, estrogen-receptor-positive, early-stage breast cancer. Am J Manag Care 2005 May; 11 (5): 313–24

    PubMed  Google Scholar 

  51. Perlis RH, Ganz DA, Avorn J, et al. Pharmacogenetic testing in the clinical management of schizophrenia: a decision-analytic model. J Clin Psychopharmacol 2005 Oct; 25 (5): 427–34

    Article  PubMed  Google Scholar 

  52. Elkin EB, Weinstein MC, Winer EP, et al. HER-2 testing and trastuzumab therapy for metastatic breast cancer: a costeffectiveness analysis. J Clin Oncol 2004 Mar 1; 22 (5): 854–63

    Article  PubMed  Google Scholar 

  53. Maitland-van der Zee AH, Klungel OH, Stricker BH, et al. Pharmacoeconomic evaluation of testing for angiotensinconverting enzyme genotype before starting beta-hydroxybeta-methylglutaryl coenzyme A reductase inhibitor therapy in men. Pharmacogenetics 2004 Jan; 14 (1): 53–60

    Article  Google Scholar 

  54. Leey JA, McCabe S, Koch JA, et al. Cost-effectiveness of genotype-guided warfarin therapy for anticoagulation in elderly patients with atrial fibrillation. Am J Geriatr Pharmacother 2009 Aug; 7 (4): 197–203

    Article  PubMed  Google Scholar 

  55. Heitjan DF, Asch DA, Ray R, et al. Cost-effectiveness of pharmacogenetic testing to tailor smoking-cessation treatment. Pharmacogenomics J 2008 Dec; 8 (6): 391–9

    Article  PubMed  CAS  Google Scholar 

  56. Obradovic M, Mrhar A, Kos M. Cost-effectiveness of UGT1A1 genotyping in second-line, high-dose, once every 3 weeks irinotecan monotherapy treatment of colorectal cancer. Pharmacogenomics 2008 May; 9 (5): 539–49

    Article  PubMed  CAS  Google Scholar 

  57. Costa-Scharplatz M, van Asselt AD, Bachmann LM, et al. Cost-effectiveness of pharmacogenetic testing to predict treatment response to angiotensin-converting enzyme inhibitor. Pharmacogenet Genomics 2007 May; 17 (5): 359–68

    Article  PubMed  CAS  Google Scholar 

  58. Kim SK, Jun JB, El-Sohemy A, et al. Cost-effectiveness analysis of MTHFR polymorphism screening by polymerase chain reaction in korean patients with rheumatoid arthritis receiving methotrexate. J Rheumatol 2006 Jul; 33 (7): 1266–74

    PubMed  CAS  Google Scholar 

  59. Schalekamp T, Boink GJ, Visser LE, et al. CYP2C9 genotyping in acenocoumarol treatment: is it a cost-effective addition to international normalized ratio monitoring? Clin Pharmacol Ther 2006 Jun; 79 (6): 511–20

    Article  PubMed  CAS  Google Scholar 

  60. van den Akker-van Marle ME, Gurwitz D, Detmar SB, et al. Cost-effectiveness of pharmacogenomics in clinical practice: a case study of thiopurine methyltransferase genotyping in acute lymphoblastic leukemia in europe. Pharmacogenomics 2006 Jul; 7 (5): 783–92

    Article  PubMed  Google Scholar 

  61. Wu O, Robertson L, Twaddle S, et al. Screening for thrombophilia in high-risk situations: systematic review and cost-effectiveness analysis. The Thrombosis: Risk and Economic Assessment of Thrombophilia Screening (TREATS) study. Health Technol Assess 2006 Apr; 10 (11): 1–110

    CAS  Google Scholar 

  62. Dubinsky MC, Reyes E, Ofman J, et al. A cost-effectiveness analysis of alternative disease management strategies in patients with crohn’s disease treated with azathioprine or 6-mercaptopurine. Am J Gastroenterol 2005 Oct; 100 (10): 2239–47

    Article  PubMed  CAS  Google Scholar 

  63. Hughes DA, Vilar FJ, Ward CC, et al. Cost-effectiveness analysis of HLA B*5701 genotyping in preventing abacavir hypersensitivity. Pharmacogenetics 2004 Jun; 14 (6): 335–42

    Article  PubMed  Google Scholar 

  64. Oh KT, Anis AH, Bae SC. Pharmacoeconomic analysis of thiopurine methyltransferase polymorphism screening by polymerase chain reaction for treatment with azathioprine in korea. Rheumatology (Oxford) 2004 Feb; 43 (2): 156–63

    Article  CAS  Google Scholar 

  65. Winter J, Walker A, Shapiro D, et al. Cost-effectiveness of thiopurine methyltransferase genotype screening in patients about to commence azathioprine therapy for treatment of inflammatory bowel disease. Aliment Pharmacol Ther 2004 Sep 15; 20 (6): 593–9

    Article  PubMed  CAS  Google Scholar 

  66. You JH, Chan FW, Wong RS, et al. The potential clinical and economic outcomes of pharmacogenetics-oriented management of warfarin therapy: a decision analysis. Thromb Haemost 2004 Sep; 92 (3): 590–7

    PubMed  CAS  Google Scholar 

  67. Lehmann DF, Medicis JJ, Franklin PD. Polymorphisms and the pocketbook: the cost-effectiveness of cytochrome P450 2C19 genotyping in the eradication of helicobacter pylori infection associated with duodenal ulcer. J Clin Pharmacol 2003 Dec; 43 (12): 1316–23

    Article  PubMed  Google Scholar 

  68. Marra CA, Esdaile JM, Anis AH. Practical pharmacogenetics: the cost effectiveness of screening for thiopurine s-methyltransferase polymorphisms in patients with rheumatological conditions treated with azathioprine. J Rheumatol 2002 Dec; 29 (12): 2507–12

    PubMed  Google Scholar 

  69. Creinin MD, Lisman R, Strickler RC. Screening for factor V leiden mutation before prescribing combination oral contraceptives. Fertil Steril 1999 Oct; 72 (4): 646–51

    Article  PubMed  CAS  Google Scholar 

  70. International Warfarin Pharmacogenetics Consortium, Klein TE, Altman RB, et al. Estimation of the warfarin dose with clinical and pharmacogenetic data.N Engl J Med 2009 Feb 19; 360 (8): 753–64

    Article  Google Scholar 

  71. Garcia DA. Warfarin and pharmacogenomic testing: the case for restraint. Clin Pharmacol Ther 2008 Sep; 84 (3): 303–5

    Article  PubMed  CAS  Google Scholar 

  72. Kangelaris KN, Bent S, Nussbaum RL, et al. Genetic testing before anticoagulation? A systematic review of pharmacogenetic dosing of warfarin. J Gen Intern Med 2009 May; 24 (5): 656–64

    Google Scholar 

  73. Rudnicki M, Mayer G. Significance of genetic polymorphisms of the renin-angiotensin-aldosterone systemin cardiovascular and renal disease. Pharmacogenomics 2009 Mar; 10 (3): 463–76

    Article  PubMed  CAS  Google Scholar 

  74. Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Working Group. Recommendations from the EGAPP working group: can UGT1A1 genotyping reduce morbidity and mortality in patients with metastatic colorectal cancer treated with irinotecan? Genet Med 2009 Jan; 11 (1): 15–20

    Article  Google Scholar 

  75. Munafo MR, Timpson NJ, David SP, et al. Association of the DRD2 gene Taq1A polymorphism and smoking behavior: a meta-analysis and new data. Nicotine Tob Res 2009 Jan; 11 (1): 64–76

    Article  PubMed  CAS  Google Scholar 

  76. Segal JB, Brotman DJ, Necochea AJ, et al. Predictive value of factor V leiden and prothrombin G20210A in adults with venous thromboembolism and in family members of those with a mutation: a systematic review. JAMA 2009 Jun 17; 301 (23): 2472–85

    Article  PubMed  CAS  Google Scholar 

  77. Evaluation of Genomic Applications in Practice and Prevention (EGAPP) Working Group. Recommendations from the EGAPP working group: can tumor gene expression profiling improve outcomes in patients with breast cancer? Genet Med 2009 Jan; 11 (1): 66–73

    Article  Google Scholar 

  78. Hughes AR, Spreen WR, Mosteller M, et al. Pharmacogenetics of hypersensitivity to abacavir: from PGx hypothesis to confirmation to clinical utility. Pharmacogenomics J 2008 Dec; 8 (6): 365–74

    Article  PubMed  CAS  Google Scholar 

  79. Wolff AC, Hammond ME, Schwartz JN, et al. American society of clinical Oncology/College of American pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer. J Clin Oncol 2007 Jan 1; 25 (1): 118–45

    Article  PubMed  CAS  Google Scholar 

  80. Davis BR, Arnett DK, Boerwinkle E, et al. Antihypertensive therapy, the alpha-adducin polymorphism, and cardiovascular disease in high-risk hypertensive persons: the genetics of hypertension-associated treatment study. Pharmacogenomics J 2007 Apr; 7 (2): 112–22

    Article  PubMed  CAS  Google Scholar 

  81. Ballana E, Mercader JM, Fischel-Ghodsian N, et al. MRPS18CP2 alleles and DEFA3 absence as putative chromosome 8p23.1 modifiers of hearing loss due to mtDNA mutation A1555G in the 12S rRNA gene.BMC Med Genet 2007 Dec 21; 8: 81

    Article  PubMed  Google Scholar 

  82. Zhao F, Wang J, Yang Y, et al. Effect of CYP2C19 genetic polymorphisms on the efficacy of proton pump inhibitorbased triple therapy for helicobacter pylori eradication: a meta-analysis. Helicobacter 2008 Dec; 13 (6): 532–41

    Article  PubMed  Google Scholar 

  83. Gazdar AF. Personalized medicine and inhibition of EGFR signaling in lung cancer.N Engl J Med 2009 Sep 3; 361 (10): 1018–20

    Article  PubMed  CAS  Google Scholar 

  84. Lin E, Chen PS, Chang HH, et al. Interaction of serotoninrelated genes affects short-term antidepressant response in major depressive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2009 Oct 1; 33 (7): 1167–72

    Article  PubMed  CAS  Google Scholar 

  85. Ikeda M, Yamanouchi Y, Kinoshita Y, et al. Variants of dopamine and serotonin candidate genes as predictors of response to risperidone treatment in first-episode schizophrenia. Pharmacogenomics 2008 Oct; 9 (10): 1437–43

    Article  PubMed  CAS  Google Scholar 

  86. de Leon J, Arranz MJ, Ruano G. Pharmacogenetic testing in psychiatry: a review of features and clinical realities. Clin Lab Med 2008 Dec; 28 (4): 599–617

    Article  PubMed  Google Scholar 

  87. National Comprehensive Cancer Network (NCCN). Breast cancer clinical guidelines [online]. Available from URL: http://www.nccn.org/professionals/physician_gls/PDF/breast.pdf [Accessed 2010 Aug 11]

    Google Scholar 

  88. Panel on Antiretroviral Guidelines for Adults and Adolescents. Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. Rockville (MD): Department of Health and Human Services, 2009 Dec 1 [online]. Available from URL: http://aidsinfo.nih.gov/contentfiles/AdultandAdolescentGL.pdf [Accessed 2010 Aug 11]

  89. Gerhard T, Gong Y, Beitelshees AL, et al. Association between CV outcomes diuretic use and the alpha-adducin gene: results from the INternational VErapamil SR-trandolapril STudy (INVEST) [abstract]. Circulation 2005; 112 Suppl. 2: 608

    Google Scholar 

  90. Gerhard T, Beitelshees AL, Johnson JA. Re: Meckley LM, Veenstra DL. Screening for the alpha-adducin Gly460Trp variant in hypertensive patients: a cost-effectiveness analysis [letter]. Pharmacogenet Genom 2006; 16: 139–147. Pharmacogenet Genomics 2006 Aug; 16 (8): 613

    Article  Google Scholar 

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Acknowledgements

This work was partially funded by the Center for Comparative Effectiveness Research in Cancer Genomics (CANCERGEN) through the American Recovery and Reinvestment Act of 2009 by the National Cancer Institute, National Institutes of Health under Agency Award ♯RC2 CA148570. The content of this article is solely the responsibility of the authors and does not necessarily reflect the views or policies of the National Cancer Institute, nor does mention of trade names, commercial products, or organizations imply endorsement by the US Government.

All authors meet criteria for authorship and have no conflicts of interest that are directly relevant to the content of this review.

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Wong, W.B., Carlson, J.J., Thariani, R. et al. Cost Effectiveness of Pharmacogenomics. Pharmacoeconomics 28, 1001–1013 (2010). https://doi.org/10.2165/11537410-000000000-00000

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